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"verdicts": { "complete": 1, "incomplete": 52, "unknown": 11 } } }, "model": "jev-1.14.0", "planned_conditions": [ "rgb", "rgb_telemetry" ], "results": [ { "attempts": 1, "case_id": "layout-02-wrong_position", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013482000000000001, "http_status": 200, "images": { "current": { "bytes": 81061, "format": "png", "height": 480, "sha256": "f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 3181.8517500068992, "prepare": 0.23475009948015213, "total": 3182.4524581898004 }, "model": "jev-1.14.0", "online_total_ms": 3182.4908750131726, "p_complete": 0.08, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 2.7627749443387563e-09, "linear_speed_m_s": 9.86007596264554e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361806336e-06, "min": 2.7627749443387563e-09 }, "linear_speed_m_s": { "max": 1.0577925091117024e-06, "min": 9.86007596264554e-10 }, "position_error_m": { "max": 0.1699999858103543, "min": 0.1699999858102173 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.29429999900143505, "min": 0.2942989247886612 }, "yaw_error_rad": { "max": 2.1965563118397924e-09, "min": 2.1963403873392906e-09 } }, "observation_window_s": 0.2, "position_error_m": 0.1699999858102173, "robot_contact_force_n": 0.0, "table_support_force_n": 0.29429999900143505, "target_position_m": [ 0.5999999858101832, -0.16000010763675523, -0.00010773874568926928 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965563118397924e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 165351, "request_sha256": "4b2d21390d91a0e27ed7498506c325fb33f997108f0cd688646df0c8767b06b5", "response_sha256": "992b7a5000d9583ccdae9dfb72c01367f518565300ed8f351eb31debe2c1820e", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:07:59.412272+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.23475009948015213, "request_ms": 3181.8517500068992, "total_ms": 3182.4908750131726 }, "usage": { "input_tokens": 3210, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.7, "verdict_probabilities": { "complete": 0.03, "incomplete": 0.8, "unknown": 0.17 } }, { "attempts": 1, "case_id": "layout-02-wrong_orientation", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010882200000000001, "http_status": 200, "images": { "current": { "bytes": 78325, "format": "png", "height": 480, "sha256": "66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 993.6145001556724, "prepare": 0.76916697435081, "total": 994.5058750454336 }, "model": "jev-1.14.0", "online_total_ms": 994.5139579940587, "p_complete": 0.1, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161676, "request_sha256": "cf2c595e98a0953986643451655b82b56ec9b6797f0385f172992a19a09e2902", "response_sha256": "94cfeb31dc5a0075698f81b4d6c28423d089e242861ed157cee7cb9acca13323", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:02.598021+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.76916697435081, "request_ms": 993.6145001556724, "total_ms": 994.5139579940587 }, "usage": { "input_tokens": 2591, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.72, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.81, "unknown": 0.19 } }, { "attempts": 1, "case_id": "layout-01-moving_alias", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010857000000000001, "http_status": 200, "images": { "current": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 2717.451874865219, "prepare": 0.5554999224841595, "total": 2718.3094997890294 }, "model": "jev-1.14.0", "online_total_ms": 2718.4088330250233, "p_complete": 0.53, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162173, "request_sha256": "571f6b7928dbc9d2a6f2c0846975669e2f0f928efad97c69aafaa7cb56b66e15", "response_sha256": "e41149382ad2ef8c0b4964ce6044ece4c7fcec087a205410fd687eda45b45406", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:03.595675+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5554999224841595, "request_ms": 2717.451874865219, "total_ms": 2718.4088330250233 }, "usage": { "input_tokens": 2585, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.85, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.09, "unknown": 0.9 } }, { "attempts": 1, "case_id": "layout-03-occluded", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.000108528, "http_status": 200, "images": { "current": { "bytes": 69903, "format": "png", "height": 480, "sha256": "0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 3286.266125040129, "prepare": 0.5034168716520071, "total": 3287.309292005375 }, "model": "jev-1.14.0", "online_total_ms": 3287.357582943514, "p_complete": 0.03, "p_present": 0.33, "presence": "unknown", "request": { "assets": { "dvidia-image-current-0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 151848, "request_sha256": "6dc62c2ce15e117efcf3c31ebf6559225eec602a00771ca335893539e0ce7b17", "response_sha256": "81857d91c3d030b4527c44356077c4b8bb70638967ec05de131cdc55e42641f3", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:06.317825+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5034168716520071, "request_ms": 3286.266125040129, "total_ms": 3287.357582943514 }, "usage": { "input_tokens": 2584, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.85, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.9, "unknown": 0.1 } }, { "attempts": 1, "case_id": "layout-03-moving_alias", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00012558, "http_status": 200, "images": { "current": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1147.1777081023902, "prepare": 0.5600000731647015, "total": 1148.016707971692 }, "model": "jev-1.14.0", "online_total_ms": 1148.0347919277847, "p_complete": 0.02, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 2.762774894432646e-09, "linear_speed_m_s": 0.12, "native_observation_count": 0, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": null, "min": null }, "table_support_force_n": { "max": null, "min": null }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.0, "position_error_m": 1.0856805227409043e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.362350885628384, "target_position_m": [ 0.3799999688429301, -0.07000010400124504, -0.00010773874568926843 ], "target_present": true, "target_present_observation_count": 0, "yaw_error_rad": 2.19655620081749e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161164, "request_sha256": "562192137127c05e4d4f824bf7f12fd6f1885900aad2a486b8b2026602dc2e0b", "response_sha256": "93d5fd93b7368e7017878f11947cd23045d9b63b266eb01c356307d25a558ced", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:09.611928+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5600000731647015, "request_ms": 1147.1777081023902, "total_ms": 1148.0347919277847 }, "usage": { "input_tokens": 2990, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-03-complete", "condition": "rgb_telemetry", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134946, "http_status": 200, "images": { "current": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 2485.885625006631, "prepare": 0.4127498250454664, "total": 2486.5335829090327 }, "model": "jev-1.14.0", "online_total_ms": 2486.590167041868, "p_complete": 0.62, "p_present": 0.98, "presence": "present", "request": { "assets": { "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 2.762774894432646e-09, "linear_speed_m_s": 9.860076492373484e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336032993e-06, "min": 2.762774894432646e-09 }, "linear_speed_m_s": { "max": 1.0577925090833765e-06, "min": 9.860076492373484e-10 }, "position_error_m": { "max": 1.0856805227409043e-07, "min": 1.0856741726656525e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014348, "min": 0.2942989247886608 }, "yaw_error_rad": { "max": 2.19655620081749e-09, "min": 2.1963403318281394e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805227409043e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014348, "target_position_m": [ 0.3799999688429301, -0.07000010400124504, -0.00010773874568926843 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.19655620081749e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161351, "request_sha256": "9cdeacbb6a7bfb89a52b1440577dc93a86581c29ac4a50445c64fbb9436a38cc", "response_sha256": "0ab9c97cb8ded95ae30fe71de9d7217138b7f05ab096dafdf657f0cc26c5decc", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:10.764969+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.4127498250454664, "request_ms": 2485.885625006631, "total_ms": 2486.590167041868 }, "usage": { "input_tokens": 3213, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.28, "verdict_probabilities": { "complete": 0.36, "incomplete": 0.12, "unknown": 0.52 } }, { "attempts": 1, "case_id": "layout-03-missing_target", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00011999400000000002, "http_status": 200, "images": { "current": { "bytes": 72934, "format": "png", "height": 480, "sha256": "d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 3266.3774169050157, "prepare": 0.28745783492922783, "total": 3267.2564580570906 }, "model": "jev-1.14.0", "online_total_ms": 3267.311166971922, "p_complete": 0.02, "p_present": 0.11, "presence": "absent", "request": { "assets": { "dvidia-image-current-d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 155509, "request_sha256": "a45d75d5ee6d6d2f3f98afba864906ff46b15fdececc6dfee1f03dffe06c816c", "response_sha256": "a157cb5b9ce64adc868b34ddb4de108d526ec6111bd62223b0a7fb44966d3727", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:13.260206+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.28745783492922783, "request_ms": 3266.3774169050157, "total_ms": 3267.311166971922 }, "usage": { "input_tokens": 2857, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.94, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.96, "unknown": 0.04 } }, { "attempts": 1, "case_id": "layout-02-unreleased", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000136542, "http_status": 200, "images": { "current": { "bytes": 85815, "format": "png", "height": 480, "sha256": "9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 2477.01995796524, "prepare": 0.9951251558959484, "total": 2478.532334091142 }, "model": "jev-1.14.0", "online_total_ms": 2478.5893328953534, "p_complete": 0.02, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 0.0009941703968526277, "linear_speed_m_s": 0.00014160096890228054, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 0.0017186694278268843, "min": 0.0009941703968526277 }, "linear_speed_m_s": { "max": 0.00014160096890228054, "min": 0.0001367889163867079 }, "position_error_m": { "max": 0.00112237494618688, "min": 0.0010952390133150847 }, "robot_contact_force_n": { "max": 0.7693653082066636, "min": 0.7684190832360072 }, "table_support_force_n": { "max": 0.3046279922938624, "min": 0.3014209771616913 }, "yaw_error_rad": { "max": 0.00569434757841164, "min": 0.005609244269984187 } }, "observation_window_s": 0.2, "position_error_m": 0.00112237494618688, "robot_contact_force_n": 0.7693653082066636, "table_support_force_n": 0.3014209771616913, "target_position_m": [ 0.43040182038492686, -0.1610479818214479, -0.00010842273593493796 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 0.00569434757841164 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 170145, "request_sha256": "ba1ab4131973a5d3833b50c1af81ec168dded4ea50209a2b9e88b6d64c07849a", "response_sha256": "d5b799d9cef36b7f7dc36addde7570ad86862ccb1d3d412b8fdec5e7606e0c44", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:16.532648+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.9951251558959484, "request_ms": 2477.01995796524, "total_ms": 2478.5893328953534 }, "usage": { "input_tokens": 3251, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.98, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.99, "unknown": 0.01 } }, { "attempts": 1, "case_id": "layout-04-complete", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010857000000000001, "http_status": 200, "images": { "current": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1100.0217921100557, "prepare": 3.0073330271989107, "total": 1103.7168751936406 }, "model": "jev-1.14.0", "online_total_ms": 1104.1086250916123, "p_complete": 0.48, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159007, "request_sha256": "63367143b05302c30c2cba9bf7c4bff0dafa2b2cff9280faceb1ceb80f2ef855", "response_sha256": "dd4349d1e388ebfee9cfbd6586b47bb01fee88fddce791954d4cdaa2f024f7bd", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:19.016102+00:00", "status": "ok", "timing_ms": { "prepare_ms": 3.0073330271989107, "request_ms": 1100.0217921100557, "total_ms": 1104.1086250916123 }, "usage": { "input_tokens": 2585, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.89, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.07, "unknown": 0.93 } }, { "attempts": 1, "case_id": "layout-03-wrong_orientation", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134904, "http_status": 200, "images": { "current": { "bytes": 79569, "format": "png", "height": 480, "sha256": "66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1486.1032089684159, "prepare": 0.5568331107497215, "total": 1491.4550830144435 }, "model": "jev-1.14.0", "online_total_ms": 1491.5459579788148, "p_complete": 0.03, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 2.7627747152164955e-09, "linear_speed_m_s": 9.86007598072673e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233360100356e-06, "min": 2.7627747152164955e-09 }, "linear_speed_m_s": { "max": 1.0577925090957944e-06, "min": 9.86007598072673e-10 }, "position_error_m": { "max": 1.0856805243889215e-07, "min": 1.0856741730644736e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.29429999900143444, "min": 0.29429892478866126 }, "yaw_error_rad": { "max": 1.570796324598559, "min": 1.570796324598342 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805243889215e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.29429999900143444, "target_position_m": [ 0.3800001040012452, -0.07000003115707004, -0.00010773874568926854 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 1.5707963245983425 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162452, "request_sha256": "2ea701cfba448a105267bbb27f8303456ca072d2d07a4a930d21034853fb262d", "response_sha256": "57a2b906f007e44493607473807d7f2c19560c0e0bcb05ff6a16607f8f2edf83", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:20.129225+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5568331107497215, "request_ms": 1486.1032089684159, "total_ms": 1491.5459579788148 }, "usage": { "input_tokens": 3212, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.83, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.89, "unknown": 0.1 } }, { "attempts": 1, "case_id": "layout-04-unreleased", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000136374, "http_status": 200, "images": { "current": { "bytes": 86362, "format": "png", "height": 480, "sha256": "8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 3027.2396670188755, "prepare": 0.6705839186906815, "total": 3029.171708971262 }, "model": "jev-1.14.0", "online_total_ms": 3029.5940418727696, "p_complete": 0.02, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 0.002606933470747755, "linear_speed_m_s": 0.00010064949189093267, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 0.004742951667749043, "min": 0.002606933470747755 }, "linear_speed_m_s": { "max": 0.00010064949189093267, "min": 9.490361836146501e-05 }, "position_error_m": { "max": 0.0010491825564488413, "min": 0.0010350014788722895 }, "robot_contact_force_n": { "max": 0.790406083741399, "min": 0.7881504132862833 }, "table_support_force_n": { "max": 0.3148922546022384, "min": 0.3142693700788355 }, "yaw_error_rad": { "max": 0.03691679299236298, "min": 0.03690074331083231 } }, "observation_window_s": 0.2, "position_error_m": 0.0010491825564488413, "robot_contact_force_n": 0.790406083741399, "table_support_force_n": 0.3144476609893772, "target_position_m": [ 0.42104823526500446, -0.13004457427461588, -0.00011458521544506569 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 0.03690074331083231 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 168585, "request_sha256": "6517dc9913124d034b3a54349b77f81feb05e049b0660a75c9b93d1443d0c425", "response_sha256": "5fe26cb78063a48bdc3381be36e4256b6a557857d3a143340d7e1d688bb13163", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:21.635437+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.6705839186906815, "request_ms": 3027.2396670188755, "total_ms": 3029.5940418727696 }, "usage": { "input_tokens": 3247, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.98, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.99, "unknown": 0.01 } }, { "attempts": 1, "case_id": "layout-03-occluded", "condition": "rgb_telemetry", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00013473600000000002, "http_status": 200, "images": { "current": { "bytes": 69903, "format": "png", "height": 480, "sha256": "0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 3065.8918330445886, "prepare": 1.4129579067230225, "total": 3068.447208032012 }, "model": "jev-1.14.0", "online_total_ms": 3070.435208035633, "p_complete": 0.19, "p_present": 0.55, "presence": "unknown", "request": { "assets": { "dvidia-image-current-0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-0fd28594d7bee6d76cb13dd30e3bfe520918d470fa2bec53ecf84a493aed0556", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 2.762774894432646e-09, "linear_speed_m_s": 9.860076492373484e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336032993e-06, "min": 2.762774894432646e-09 }, "linear_speed_m_s": { "max": 1.0577925090833765e-06, "min": 9.860076492373484e-10 }, "position_error_m": { "max": 1.0856805227409043e-07, "min": 1.0856741726656525e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014348, "min": 0.2942989247886608 }, "yaw_error_rad": { "max": 2.19655620081749e-09, "min": 2.1963403318281394e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805227409043e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014348, "target_position_m": [ 0.3799999688429301, -0.07000010400124504, -0.00010773874568926843 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.19655620081749e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 152792, "request_sha256": "0b9a08881ff8452447d301dc7e4379139afd0cda5b98a0ad7699e03a6e433c53", "response_sha256": "8e0d31b3fd0adf9b866bc592346ed76f2e478c1035fe1d10593d11ca5dc568dd", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:24.672603+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.4129579067230225, "request_ms": 3065.8918330445886, "total_ms": 3070.435208035633 }, "usage": { "input_tokens": 3208, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.52, "verdict_probabilities": { "complete": 0.04, "incomplete": 0.68, "unknown": 0.28 } }, { "attempts": 1, "case_id": "layout-02-occluded", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010878, "http_status": 200, "images": { "current": { "bytes": 64921, "format": "png", "height": 480, "sha256": "3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 4090.230582980439, "prepare": 0.5005421116948128, "total": 4091.159542091191 }, "model": "jev-1.14.0", "online_total_ms": 4091.2106670439243, "p_complete": 0.02, "p_present": 0.34, "presence": "unknown", "request": { "assets": { "dvidia-image-current-3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 148272, "request_sha256": "1d6c918bd75bbb3d3544876daee9b4f4439c27f76d4a97126c1734d831add576", "response_sha256": "0617c6651bbd9f3fae92d441495a862ac0ae4ee87836fd4cd28425d1cca89105", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:27.758088+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5005421116948128, "request_ms": 4090.230582980439, "total_ms": 4091.2106670439243 }, "usage": { "input_tokens": 2590, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.88, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.92, "unknown": 0.08 } }, { "attempts": 1, "case_id": "layout-03-unreleased", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 87865, "format": "png", "height": 480, "sha256": "2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1323.0945409741253, "prepare": 0.5319579504430294, "total": 1323.7909579183906 }, "model": "jev-1.14.0", "online_total_ms": 1323.8118330482394, "p_complete": 0.08, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 169810, "request_sha256": "803f461156bfe7fc05d5fbbdab899f45c52b561e1700f4c8ba68873e3635d6dd", "response_sha256": "ae6786016b9d6a3c38003c7423700f81acc7a9666d9ac026d0f15516de7da405", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:31.857602+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5319579504430294, "request_ms": 1323.0945409741253, "total_ms": 1323.8118330482394 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.72, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.81, "unknown": 0.19 } }, { "attempts": 1, "case_id": "layout-02-missing_target", "condition": "rgb_telemetry", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.000120204, "http_status": 200, "images": { "current": { "bytes": 71367, "format": "png", "height": 480, "sha256": "dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1999.6360829100013, "prepare": 0.27983286418020725, "total": 2000.6579170003533 }, "model": "jev-1.14.0", "online_total_ms": 2000.8732499554753, "p_complete": 0.01, "p_present": 0.21, "presence": "unknown", "request": { "assets": { "dvidia-image-current-dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 155348, "request_sha256": "6e3c7bda63e2584be56d9f5ffbcdf6228ba3f44c1d45e4d53f708f7e873d12da", "response_sha256": "8f107b3d753a3d2bccfe55ee7353bc0155fb39daed6d6a1b3cbb3877f8864829", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:33.187997+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.27983286418020725, "request_ms": 1999.6360829100013, "total_ms": 2000.8732499554753 }, "usage": { "input_tokens": 2862, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.89, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.93, "unknown": 0.07 } }, { "attempts": 1, "case_id": "layout-01-wrong_orientation", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013461000000000001, "http_status": 200, "images": { "current": { "bytes": 79111, "format": "png", "height": 480, "sha256": "56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 896.0784170776606, "prepare": 0.7843337953090668, "total": 897.2003338858485 }, "model": "jev-1.14.0", "online_total_ms": 897.2246248740703, "p_complete": 0.06, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 2.7627746996178486e-09, "linear_speed_m_s": 9.860076309132707e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233360765137e-06, "min": 2.7627746996178486e-09 }, "linear_speed_m_s": { "max": 1.057792509120737e-06, "min": 9.860076309132707e-10 }, "position_error_m": { "max": 1.0856805256849158e-07, "min": 1.0856741754859924e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014349, "min": 0.2942989247886607 }, "yaw_error_rad": { "max": 1.5707963245985561, "min": 1.57079632459834 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805256849158e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014349, "target_position_m": [ 0.40000010615852655, -0.10000002274619275, -0.00010773874568926942 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 1.5707963245983405 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162876, "request_sha256": "5427dbcbe70b437b4949c2ef974905d4710ea0c994e8d92fd207d1017d494d6d", "response_sha256": "0b4ef15346bee02bfe02850045901bb8cf54eb6b95d9fcfcd27443cc1ac632dd", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:35.198515+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.7843337953090668, "request_ms": 896.0784170776606, "total_ms": 897.2246248740703 }, "usage": { "input_tokens": 3205, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.74, "verdict_probabilities": { "complete": 0.06, "incomplete": 0.83, "unknown": 0.11 } }, { "attempts": 1, "case_id": "layout-04-unreleased", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010873800000000001, "http_status": 200, "images": { "current": { "bytes": 86362, "format": "png", "height": 480, "sha256": "8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1623.7839579116553, "prepare": 0.38308301009237766, "total": 1624.6376251801848 }, "model": "jev-1.14.0", "online_total_ms": 1624.7847501654178, "p_complete": 0.04, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-8d0290813f4288bddf5287eaf2d7e5b12e3710a284a5028fe229d57da3c4c736", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 167607, "request_sha256": "053c7b9d62bc72c6fccfee44a071cc0cb5c9fc4a09cef15f568ae958532d7e8e", "response_sha256": "66a23a84b9bb463d5b65dfd6bf0af00045c9a1bcccd0c841fa53eec086361090", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:36.105230+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.38308301009237766, "request_ms": 1623.7839579116553, "total_ms": 1624.7847501654178 }, "usage": { "input_tokens": 2589, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.73, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.82, "unknown": 0.18 } }, { "attempts": 1, "case_id": "layout-01-unreleased", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 84090, "format": "png", "height": 480, "sha256": "3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 1322.6837920956314, "prepare": 0.5739580374211073, "total": 1324.2493330035359 }, "model": "jev-1.14.0", "online_total_ms": 1324.4094580877572, "p_complete": 0.04, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 166918, "request_sha256": "29650676bc836d7065cc13f79ef3e1dbdadc7a139bfa45564dfd337c24f4918c", "response_sha256": "f73baa19dfffd10dabecb78b64336a09188ff532e74239e453a662773da1dc54", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:37.742010+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5739580374211073, "request_ms": 1322.6837920956314, "total_ms": 1324.4094580877572 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.77, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.85, "unknown": 0.15 } }, { "attempts": 1, "case_id": "layout-04-occluded", "condition": "rgb_telemetry", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.000134988, "http_status": 200, "images": { "current": { "bytes": 62348, "format": "png", "height": 480, "sha256": "29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2061.0402920283377, "prepare": 1.3204580172896385, "total": 2063.1921249441803 }, "model": "jev-1.14.0", "online_total_ms": 2063.4343328420073, "p_complete": 0.11, "p_present": 0.49, "presence": "unknown", "request": { "assets": { "dvidia-image-current-29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 2.7627745907984584e-09, "linear_speed_m_s": 9.860076016164131e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336175752e-06, "min": 2.7627745907984584e-09 }, "linear_speed_m_s": { "max": 1.057792509081208e-06, "min": 9.860076016164131e-10 }, "position_error_m": { "max": 1.0856805211389336e-07, "min": 1.085674170840469e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.294299999001435, "min": 0.29429892478866077 }, "yaw_error_rad": { "max": 2.1965565755177607e-09, "min": 2.196340442850442e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805211389336e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.294299999001435, "target_position_m": [ 0.4199999933733547, -0.13000010836562884, -0.00010773874568926879 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965565755177607e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 144539, "request_sha256": "ec0eb371382c7fd7b35408483f2c9978fce56c17d2f6355bb4027ed68d4977af", "response_sha256": "28821ad2e2c4f522402c8883df690b212158fb001e4b2241c520f798d8a3d827", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:39.076400+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.3204580172896385, "request_ms": 2061.0402920283377, "total_ms": 2063.4343328420073 }, "usage": { "input_tokens": 3214, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.53, "verdict_probabilities": { "complete": 0.02, "incomplete": 0.69, "unknown": 0.29 } }, { "attempts": 1, "case_id": "layout-04-occluded", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 62348, "format": "png", "height": 480, "sha256": "29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2413.0816247779876, "prepare": 0.3997501917183399, "total": 2413.6388751212507 }, "model": "jev-1.14.0", "online_total_ms": 2413.660041987896, "p_complete": 0.02, "p_present": 0.24, "presence": "unknown", "request": { "assets": { "dvidia-image-current-29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-29772e10911231b9260ebe8b91a7c7f8f482324bd5002900affc445a0eeb8106", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 143593, "request_sha256": "644de408fef8e6cb532ef8b5144f8d87742837887e4f05984b55341187a23a5b", "response_sha256": "54c1b4db9ee2b175bee6dff37b3efcf64ca67851d64552c46f4ca8ef4dd87602", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:41.150634+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3997501917183399, "request_ms": 2413.0816247779876, "total_ms": 2413.660041987896 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.88, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.92, "unknown": 0.08 } }, { "attempts": 1, "case_id": "layout-01-complete", "condition": "rgb_telemetry", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134988, "http_status": 200, "images": { "current": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 3370.0631661340594, "prepare": 0.4456660244613886, "total": 3370.948832947761 }, "model": "jev-1.14.0", "online_total_ms": 3371.058833086863, "p_complete": 0.56, "p_present": 0.99, "presence": "present", "request": { "assets": { "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 2.7627744970784057e-09, "linear_speed_m_s": 9.860075820885874e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336044342e-06, "min": 2.7627744970784057e-09 }, "linear_speed_m_s": { "max": 1.0577925091606234e-06, "min": 9.860075820885874e-10 }, "position_error_m": { "max": 1.0856805225155038e-07, "min": 1.0856741727623932e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014351, "min": 0.2942989247886606 }, "yaw_error_rad": { "max": 2.1965561156353097e-09, "min": 2.196340269667258e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805225155038e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014351, "target_position_m": [ 0.3999999772538078, -0.10000010615852632, -0.00010773874568926898 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965561156353097e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163122, "request_sha256": "22c765474ea8183e3002b7f92eb27d13136b75d5e1515a007133afc05d459ec9", "response_sha256": "0cd983b03eb234c301490b1f945a6d739470ba765b0a6b9f6b1540907ee01913", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:43.574765+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.4456660244613886, "request_ms": 3370.0631661340594, "total_ms": 3371.058833086863 }, "usage": { "input_tokens": 3214, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.45, "verdict_probabilities": { "complete": 0.31, "incomplete": 0.06, "unknown": 0.63 } }, { "attempts": 1, "case_id": "layout-02-missing_target", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.000108864, "http_status": 200, "images": { "current": { "bytes": 71367, "format": "png", "height": 480, "sha256": "dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 3285.5893338564783, "prepare": 1.0124158579856157, "total": 3286.8796249385923 }, "model": "jev-1.14.0", "online_total_ms": 3286.889916053042, "p_complete": 0.02, "p_present": 0.28, "presence": "unknown", "request": { "assets": { "dvidia-image-current-dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-dd863d7a52be1c7a4675c56c7154e2b572a5960be421b9f2a7ca27a7f2836348", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 154718, "request_sha256": "f73d1ad36b4b6537aec4ac4c603a04db290f1a02263ed7b48f65de7f8641edc9", "response_sha256": "a254ca48e8cfb743200a08ff7515bbb611dd9d2f92657b7d369ec06b7374fab0", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:46.957215+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.0124158579856157, "request_ms": 3285.5893338564783, "total_ms": 3286.889916053042 }, "usage": { "input_tokens": 2592, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.88, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.92, "unknown": 0.08 } }, { "attempts": 1, "case_id": "layout-02-wrong_object", "condition": "rgb", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.000108864, "http_status": 200, "images": { "current": { "bytes": 80112, "format": "png", "height": 480, "sha256": "441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1544.449291890487, "prepare": 1.0344169568270445, "total": 1545.6532088574022 }, "model": "jev-1.14.0", "online_total_ms": 1545.6784588750452, "p_complete": 0.01, "p_present": 0.08, "presence": "absent", "request": { "assets": { "dvidia-image-current-441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163463, "request_sha256": "14d0e74adc997a0af6a29feb0bb8b5c7180fe519679936fa90265f896a87a350", "response_sha256": "f6a851ef9c5b28c2bd3061e19cce95b3e65a7e9f2583c87dc363d0beb1bb0af5", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:50.254493+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.0344169568270445, "request_ms": 1544.449291890487, "total_ms": 1545.6784588750452 }, "usage": { "input_tokens": 2592, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-02-moving_alias", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010882200000000001, "http_status": 200, "images": { "current": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 2288.8131658546627, "prepare": 1.118208048865199, "total": 2290.0371660944074 }, "model": "jev-1.14.0", "online_total_ms": 2290.048124967143, "p_complete": 0.44, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163219, "request_sha256": "aae2ccbe47bbe8cb832b48b231d1b1c152c92a5e96417227a5dd2b981a394269", "response_sha256": "021b3e9ba1f4ee45a595be3cb0eecf0e0b418a3adb142139ff7f66e5c216b90a", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:51.810608+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.118208048865199, "request_ms": 2288.8131658546627, "total_ms": 2290.048124967143 }, "usage": { "input_tokens": 2591, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.83, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.1, "unknown": 0.89 } }, { "attempts": 1, "case_id": "layout-01-wrong_object", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00011999400000000002, "http_status": 200, "images": { "current": { "bytes": 80061, "format": "png", "height": 480, "sha256": "83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 2424.5866250712425, "prepare": 0.87779201567173, "total": 2425.547166960314 }, "model": "jev-1.14.0", "online_total_ms": 2425.5559579469264, "p_complete": 0.01, "p_present": 0.05, "presence": "absent", "request": { "assets": { "dvidia-image-current-83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163519, "request_sha256": "b9b3db8ea54fbadede8971e74c99fd7fecb513696e6a57c86f43b8a392b15cee", "response_sha256": "de139fa58f3ed1c0a2bf634395e497bf8e6d86205c6f089e38199ab1949b7ab8", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:54.111967+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.87779201567173, "request_ms": 2424.5866250712425, "total_ms": 2425.5559579469264 }, "usage": { "input_tokens": 2857, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-02-wrong_position", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010882200000000001, "http_status": 200, "images": { "current": { "bytes": 81061, "format": "png", "height": 480, "sha256": "f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 900.4422919824719, "prepare": 0.8441249374300241, "total": 901.4984997920692 }, "model": "jev-1.14.0", "online_total_ms": 901.5318751335144, "p_complete": 0.09, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-f31324821c1b69ed64bc7776437f292b8d20e87e2aa237135cb2b084fd6f0e76", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 164412, "request_sha256": "0caffd3a26a3698840489fb4f7d7628a99d28dd969ab7e968b681dbf57380666", "response_sha256": "9e819b60dabfc22cadb6ab93d803e9889d1dff593c5d1aee0dceafb69264dba3", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:56.543669+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.8441249374300241, "request_ms": 900.4422919824719, "total_ms": 901.5318751335144 }, "usage": { "input_tokens": 2591, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.73, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.82, "unknown": 0.18 } }, { "attempts": 1, "case_id": "layout-03-unreleased", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013662600000000002, "http_status": 200, "images": { "current": { "bytes": 87865, "format": "png", "height": 480, "sha256": "2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1756.193415960297, "prepare": 0.3572499845176935, "total": 1756.7208749242127 }, "model": "jev-1.14.0", "online_total_ms": 1756.7410841584206, "p_complete": 0.02, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-2679f2897c559ff07190c9bee25b0fbdb9f6cda29847c287cbadf74d342b4c14", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 0.003368756823804283, "linear_speed_m_s": 0.00010986191904928065, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 0.0040346175968384084, "min": 0.0024920357101732454 }, "linear_speed_m_s": { "max": 0.00014294490050929373, "min": 0.00010986191904928065 }, "position_error_m": { "max": 0.0006551670719148867, "min": 0.0006474789378581962 }, "robot_contact_force_n": { "max": 0.7878949274134518, "min": 0.7857892493442301 }, "table_support_force_n": { "max": 0.2640607875145524, "min": 0.25922471284709236 }, "yaw_error_rad": { "max": 0.003720938606997237, "min": 0.003703847249796388 } }, "observation_window_s": 0.2, "position_error_m": 0.0006551670719148867, "robot_contact_force_n": 0.7863052928276089, "table_support_force_n": 0.2639875277923961, "target_position_m": [ 0.38020236953882225, -0.0693768704293019, -9.617134314363833e-05 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 0.003703847249796388 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 170795, "request_sha256": "8e094213a08d6ed860d1f868517b5a22417bb89f93029779f41f2d5974f02ad2", "response_sha256": "195d61459acc207bacf377309db80e57065b058bc6f8b808dc56b64fb5533cbe", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:57.452100+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3572499845176935, "request_ms": 1756.193415960297, "total_ms": 1756.7410841584206 }, "usage": { "input_tokens": 3253, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.98, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.99, "unknown": 0.01 } }, { "attempts": 1, "case_id": "layout-04-moving_alias", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00012558, "http_status": 200, "images": { "current": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2369.0995830111206, "prepare": 0.49400003626942635, "total": 2369.7220000904053 }, "model": "jev-1.14.0", "online_total_ms": 2369.73608401604, "p_complete": 0.02, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 2.7627745907984584e-09, "linear_speed_m_s": 0.12, "native_observation_count": 0, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": null, "min": null }, "table_support_force_n": { "max": null, "min": null }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.0, "position_error_m": 1.0856805211389336e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.3623192350084462, "target_position_m": [ 0.4199999933733547, -0.13000010836562884, -0.00010773874568926879 ], "target_present": true, "target_present_observation_count": 0, "yaw_error_rad": 2.1965565755177607e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159768, "request_sha256": "626df301847db14cad7060405b1875996cef9c3f6802e820440fc5cc3f47ac22", "response_sha256": "93d5fd93b7368e7017878f11947cd23045d9b63b266eb01c356307d25a558ced", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:08:59.220711+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.49400003626942635, "request_ms": 2369.0995830111206, "total_ms": 2369.73608401604 }, "usage": { "input_tokens": 2990, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-01-missing_target", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010865400000000001, "http_status": 200, "images": { "current": { "bytes": 72825, "format": "png", "height": 480, "sha256": "b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 3864.315749844536, "prepare": 2.1579167805612087, "total": 3866.7903339955956 }, "model": "jev-1.14.0", "online_total_ms": 3866.8453751597553, "p_complete": 0.06, "p_present": 0.31, "presence": "unknown", "request": { "assets": { "dvidia-image-current-b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 155653, "request_sha256": "6680c0e5be92f50394933cd91f7fb856cedfc428d98983f245ba5719c920bb37", "response_sha256": "1cd8a6c273baecb1f994eeb52fdc2a6207094a2daa27f36a9d9996e47969815e", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:01.604870+00:00", "status": "ok", "timing_ms": { "prepare_ms": 2.1579167805612087, "request_ms": 3864.315749844536, "total_ms": 3866.8453751597553 }, "usage": { "input_tokens": 2587, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.77, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.85, "unknown": 0.15 } }, { "attempts": 1, "case_id": "layout-02-unreleased", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000108864, "http_status": 200, "images": { "current": { "bytes": 85815, "format": "png", "height": 480, "sha256": "9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1073.6129588913172, "prepare": 0.5077500827610493, "total": 1074.3505829013884 }, "model": "jev-1.14.0", "online_total_ms": 1074.3652500677854, "p_complete": 0.06, "p_present": 0.94, "presence": "present", "request": { "assets": { "dvidia-image-current-9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9357687d5747c98916e705103aebc6f9b6900f7aef5ed675ca6dd942a19a66e7", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 169166, "request_sha256": "f6c0b2aa823c13f89f27aabcbb83816816e0f68cf026923a8d8916c170287a83", "response_sha256": "0fc8219af9452db07ed475dd02280c653dc3f92d8ca7593ae59a9bac8d32b54d", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:05.478044+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5077500827610493, "request_ms": 1073.6129588913172, "total_ms": 1074.3652500677854 }, "usage": { "input_tokens": 2592, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.62, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.75, "unknown": 0.25 } }, { "attempts": 1, "case_id": "layout-01-complete", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010857000000000001, "http_status": 200, "images": { "current": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 1032.1377089712769, "prepare": 0.348708126693964, "total": 1032.5721250846982 }, "model": "jev-1.14.0", "online_total_ms": 1032.5823749881238, "p_complete": 0.49, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162173, "request_sha256": "571f6b7928dbc9d2a6f2c0846975669e2f0f928efad97c69aafaa7cb56b66e15", "response_sha256": "f059af5810ffbdc3e38cc071a0fe0b79c1b30d7030edb9a7f2f8b3cbaf93dc56", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:06.566031+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.348708126693964, "request_ms": 1032.1377089712769, "total_ms": 1032.5823749881238 }, "usage": { "input_tokens": 2585, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.88, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.08, "unknown": 0.92 } }, { "attempts": 1, "case_id": "layout-02-occluded", "condition": "rgb_telemetry", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00013515600000000002, "http_status": 200, "images": { "current": { "bytes": 64921, "format": "png", "height": 480, "sha256": "3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1825.961375143379, "prepare": 0.4908330738544464, "total": 1826.7746660858393 }, "model": "jev-1.14.0", "online_total_ms": 1826.8492091447115, "p_complete": 0.07, "p_present": 0.54, "presence": "unknown", "request": { "assets": { "dvidia-image-current-3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3397103762d94870c515de9294b6999ad2c2b1cfc570daa1320b5724bf556fa8", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 2.7627747344185066e-09, "linear_speed_m_s": 9.86007602226177e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361619074e-06, "min": 2.7627747344185066e-09 }, "linear_speed_m_s": { "max": 1.0577925091174393e-06, "min": 9.86007602226177e-10 }, "position_error_m": { "max": 1.0856805243386722e-07, "min": 1.0856741745389504e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.294299999001435, "min": 0.29429892478866115 }, "yaw_error_rad": { "max": 2.1965563118397924e-09, "min": 2.1963403873392906e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805243386722e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.294299999001435, "target_position_m": [ 0.4299999858101823, -0.16000010763675526, -0.00010773874568926887 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965563118397924e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 149220, "request_sha256": "f58a5417aaa6d0d5528b2c0c672e2fd6dfd9fb13080c382c080475529b938ca9", "response_sha256": "e47f108fdc184e22cc9e4c33105944b13da1ba0d041bc05b5b6da5b429b922ff", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:07.611747+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.4908330738544464, "request_ms": 1825.961375143379, "total_ms": 1826.8492091447115 }, "usage": { "input_tokens": 3218, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.61, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.74, "unknown": 0.25 } }, { "attempts": 1, "case_id": "layout-01-wrong_position", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010873800000000001, "http_status": 200, "images": { "current": { "bytes": 83583, "format": "png", "height": 480, "sha256": "37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 2017.2732919454575, "prepare": 0.4491249565035105, "total": 2018.4371250215918 }, "model": "jev-1.14.0", "online_total_ms": 2018.618166912347, "p_complete": 0.14, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 166411, "request_sha256": "fbdf1c3a54e1d8f3a51b5542528e4f621b5dd94e93db2228bc21828fbf8e4d85", "response_sha256": "08447e956f7f1b512bd53277a19d1ae20e40865d80e664f9956c73f07c8b40ff", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:09.454014+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.4491249565035105, "request_ms": 2017.2732919454575, "total_ms": 2018.618166912347 }, "usage": { "input_tokens": 2589, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.66, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.77, "unknown": 0.23 } }, { "attempts": 1, "case_id": "layout-03-wrong_position", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010873800000000001, "http_status": 200, "images": { "current": { "bytes": 81396, "format": "png", "height": 480, "sha256": "266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 2366.093291901052, "prepare": 0.5253748968243599, "total": 2366.827707970515 }, "model": "jev-1.14.0", "online_total_ms": 2366.8398750014603, "p_complete": 0.14, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163341, "request_sha256": "3908d00ae374e96f852d1e026bfd79ba6c1b2457611d9ae362168ae2ab1fd5b1", "response_sha256": "ea46d316c9083b37237566fc67683268350911fbb5ee8464d90df8e57c55e995", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:11.488541+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5253748968243599, "request_ms": 2366.093291901052, "total_ms": 2366.8398750014603 }, "usage": { "input_tokens": 2589, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.7, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.8, "unknown": 0.2 } }, { "attempts": 1, "case_id": "layout-03-moving_alias", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010873800000000001, "http_status": 200, "images": { "current": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 939.2509998288006, "prepare": 0.5291251000016928, "total": 939.855583012104 }, "model": "jev-1.14.0", "online_total_ms": 939.8637909907848, "p_complete": 0.53, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 160407, "request_sha256": "727e854ff9361e8e1948877d2d380e35c57ed6860a950f0e281a7f884a68725c", "response_sha256": "1b93e731ada412b5360795892344b091b7bd5d9830e432b2f3a7262c38443362", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:13.870550+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5291251000016928, "request_ms": 939.2509998288006, "total_ms": 939.8637909907848 }, "usage": { "input_tokens": 2589, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.8, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.12, "unknown": 0.87 } }, { "attempts": 1, "case_id": "layout-01-moving_alias", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00012558, "http_status": 200, "images": { "current": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 914.0026248060167, "prepare": 0.24495809338986874, "total": 914.3833750858903 }, "model": "jev-1.14.0", "online_total_ms": 914.4031659234315, "p_complete": 0.03, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 2.7627744970784057e-09, "linear_speed_m_s": 0.12, "native_observation_count": 0, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": null, "min": null }, "table_support_force_n": { "max": null, "min": null }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.0, "position_error_m": 1.0856805225155038e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.3624151236609657, "target_position_m": [ 0.3999999772538078, -0.10000010615852632, -0.00010773874568926898 ], "target_present": true, "target_present_observation_count": 0, "yaw_error_rad": 2.1965561156353097e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162934, "request_sha256": "0b5063721c28b72b90cd69cf3ff5eccd3d6a9b4e1f4b6e04d4acdeba9c5813e1", "response_sha256": "da2a46624e712dc5d0b0cb7202212bc328cf385d678ac6f826af445c690c08c6", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:14.816430+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.24495809338986874, "request_ms": 914.0026248060167, "total_ms": 914.4031659234315 }, "usage": { "input_tokens": 2990, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-04-wrong_object", "condition": "rgb", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 78104, "format": "png", "height": 480, "sha256": "3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2739.7601660341024, "prepare": 0.28716702945530415, "total": 2740.367792081088 }, "model": "jev-1.14.0", "online_total_ms": 2740.4377080965787, "p_complete": 0.01, "p_present": 0.07, "presence": "absent", "request": { "assets": { "dvidia-image-current-3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159349, "request_sha256": "e0143d52be87f1d72e4d955ea76e61e6fcdda047f9725766666cc6be808135ed", "response_sha256": "026d4e4b18f6289c8156d66b6f06d72afdc2500dfb545e924e0e8541b72eee37", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:15.741145+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.28716702945530415, "request_ms": 2739.7601660341024, "total_ms": 2740.4377080965787 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-03-wrong_object", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.000120162, "http_status": 200, "images": { "current": { "bytes": 79100, "format": "png", "height": 480, "sha256": "78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1520.605833036825, "prepare": 0.5516668315976858, "total": 1521.3417918421328 }, "model": "jev-1.14.0", "online_total_ms": 1521.3580841664225, "p_complete": 0.01, "p_present": 0.06, "presence": "absent", "request": { "assets": { "dvidia-image-current-78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161675, "request_sha256": "c48a75ef61b1c37da9f78fced2ad8c8fb64bb824764df2bafb810b5272ddb9b0", "response_sha256": "11e113e26561a7791ca3dbf4c673dfa65a30b58f2f1e507ecdc4d143bbcdb944", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:18.498474+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5516668315976858, "request_ms": 1520.605833036825, "total_ms": 1521.3580841664225 }, "usage": { "input_tokens": 2861, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.95, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.97, "unknown": 0.03 } }, { "attempts": 1, "case_id": "layout-04-moving_alias", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010857000000000001, "http_status": 200, "images": { "current": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1155.7714159134775, "prepare": 0.5011248867958784, "total": 1156.6537499893457 }, "model": "jev-1.14.0", "online_total_ms": 1156.7303750198334, "p_complete": 0.49, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159007, "request_sha256": "63367143b05302c30c2cba9bf7c4bff0dafa2b2cff9280faceb1ceb80f2ef855", "response_sha256": "cd10e0299ca022e4e69f2c5b6069724e373326610bd11818652c69f2e8c9dfa8", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:20.036995+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5011248867958784, "request_ms": 1155.7714159134775, "total_ms": 1156.7303750198334 }, "usage": { "input_tokens": 2585, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.89, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.07, "unknown": 0.93 } }, { "attempts": 1, "case_id": "layout-04-wrong_position", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 80849, "format": "png", "height": 480, "sha256": "a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1502.6298749726266, "prepare": 0.5524158477783203, "total": 1503.5422910004854 }, "model": "jev-1.14.0", "online_total_ms": 1503.6018751561642, "p_complete": 0.07, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162094, "request_sha256": "691dbe273c38c698069ed53d87cc9b4bce9c714f66fd76e11d89569a7be6de69", "response_sha256": "18bf86bc27285b48d4caaccb3bd464f58c24287ba30400994ef60f86c58627e3", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:21.210669+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5524158477783203, "request_ms": 1502.6298749726266, "total_ms": 1503.6018751561642 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.79, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.86, "unknown": 0.14 } }, { "attempts": 1, "case_id": "layout-03-wrong_orientation", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000108948, "http_status": 200, "images": { "current": { "bytes": 79569, "format": "png", "height": 480, "sha256": "66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1324.471291853115, "prepare": 1.166959060356021, "total": 1325.9841669350863 }, "model": "jev-1.14.0", "online_total_ms": 1326.0083750355989, "p_complete": 0.05, "p_present": 0.94, "presence": "present", "request": { "assets": { "dvidia-image-current-66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-66c3cc6f1378b262837d1b1d81c60d60bd9e3c1d25e59e28626810526d78b494", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161514, "request_sha256": "fd64d5be5c9fefcc4cbb3c3b42e73bafb28bf0fe169af7cb0dc2b64ec7b0bc32", "response_sha256": "52e59f21666d4a1a639f8aa9b7209b76f6b9a5f0368b05318334a1c4cc0b07e4", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:22.733457+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.166959060356021, "request_ms": 1324.471291853115, "total_ms": 1326.0083750355989 }, "usage": { "input_tokens": 2594, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.85, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.9, "unknown": 0.1 } }, { "attempts": 1, "case_id": "layout-01-wrong_orientation", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010869600000000002, "http_status": 200, "images": { "current": { "bytes": 79111, "format": "png", "height": 480, "sha256": "56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 932.0065418723971, "prepare": 0.3683750983327627, "total": 932.4537080246955 }, "model": "jev-1.14.0", "online_total_ms": 932.4611669871956, "p_complete": 0.1, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-56253438617f3ff5caf1700673122b6e7260601fad6700f519a8442f3e57bd37", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161939, "request_sha256": "9aad7d221c1a2815360c5a7c7fc5d71ed186731fe9d727724868bedb5eb2042c", "response_sha256": "fcb380d1a626565c7a3bc7d90120e72777b90146828922cd5994f0c630d4a655", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:24.075656+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3683750983327627, "request_ms": 932.0065418723971, "total_ms": 932.4611669871956 }, "usage": { "input_tokens": 2588, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.67, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.78, "unknown": 0.22 } }, { "attempts": 1, "case_id": "layout-01-occluded", "condition": "rgb_telemetry", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.000135072, "http_status": 200, "images": { "current": { "bytes": 68346, "format": "png", "height": 480, "sha256": "747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 1364.1268748324364, "prepare": 0.3877081908285618, "total": 1365.2904161717743 }, "model": "jev-1.14.0", "online_total_ms": 1365.4680422041565, "p_complete": 0.14, "p_present": 0.57, "presence": "unknown", "request": { "assets": { "dvidia-image-current-747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 2.7627744970784057e-09, "linear_speed_m_s": 9.860075820885874e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336044342e-06, "min": 2.7627744970784057e-09 }, "linear_speed_m_s": { "max": 1.0577925091606234e-06, "min": 9.860075820885874e-10 }, "position_error_m": { "max": 1.0856805225155038e-07, "min": 1.0856741727623932e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014351, "min": 0.2942989247886606 }, "yaw_error_rad": { "max": 2.1965561156353097e-09, "min": 2.196340269667258e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805225155038e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014351, "target_position_m": [ 0.3999999772538078, -0.10000010615852632, -0.00010773874568926898 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965561156353097e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 152123, "request_sha256": "207e6f5519077f996117540549c91f9b242b6811633219a3d98f3141966939c6", "response_sha256": "1e239bfedc5c95910470dbfe19fbc2d415d4a5dd62dc6c573bae6f9848a92811", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:25.015497+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3877081908285618, "request_ms": 1364.1268748324364, "total_ms": 1365.4680422041565 }, "usage": { "input_tokens": 3216, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.4, "verdict_probabilities": { "complete": 0.02, "incomplete": 0.6, "unknown": 0.38 } }, { "attempts": 1, "case_id": "layout-04-missing_target", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.000119952, "http_status": 200, "images": { "current": { "bytes": 70111, "format": "png", "height": 480, "sha256": "9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1652.1456250920892, "prepare": 0.7324579637497663, "total": 1653.1432908959687 }, "model": "jev-1.14.0", "online_total_ms": 1653.2660420052707, "p_complete": 0.02, "p_present": 0.2, "presence": "absent", "request": { "assets": { "dvidia-image-current-9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 151986, "request_sha256": "38c739b8b55cb6da3677e531b81e3868e16ced493b42c708c8e027fb8a653b71", "response_sha256": "20da61598f3f50845ba5409a3e2ff432efe07a44a43a959ad63734fc8978a401", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:26.398303+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.7324579637497663, "request_ms": 1652.1456250920892, "total_ms": 1653.2660420052707 }, "usage": { "input_tokens": 2856, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.94, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.96, "unknown": 0.04 } }, { "attempts": 1, "case_id": "layout-04-wrong_orientation", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134316, "http_status": 200, "images": { "current": { "bytes": 76269, "format": "png", "height": 480, "sha256": "a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1194.244333077222, "prepare": 0.36916695535182953, "total": 1194.6814579423517 }, "model": "jev-1.14.0", "online_total_ms": 1194.688000017777, "p_complete": 0.1, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 2.7627747672417554e-09, "linear_speed_m_s": 9.86007598437561e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361383416e-06, "min": 2.7627747672417554e-09 }, "linear_speed_m_s": { "max": 1.0577925091079773e-06, "min": 9.86007598437561e-10 }, "position_error_m": { "max": 1.0856805194707237e-07, "min": 1.0856741703541562e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.294299999001435, "min": 0.2942989247886607 }, "yaw_error_rad": { "max": 1.5707963245985561, "min": 1.5707963245983396 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805194707237e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.294299999001435, "target_position_m": [ 0.4200001083656286, -0.13000000662664574, -0.0001077387456892685 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 1.57079632459834 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 158446, "request_sha256": "cc06c03336fd573f3f93300c40f09356b1e6e25ce2e0e7f4c6f6c2b7e5b9e0eb", "response_sha256": "9ba5796345969f27ef3b619e1bc2505c30715cabfa28b77a7431c175707655dc", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:28.073191+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.36916695535182953, "request_ms": 1194.244333077222, "total_ms": 1194.688000017777 }, "usage": { "input_tokens": 3198, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.66, "verdict_probabilities": { "complete": 0.04, "incomplete": 0.77, "unknown": 0.19 } }, { "attempts": 1, "case_id": "layout-04-wrong_orientation", "condition": "rgb", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010861200000000001, "http_status": 200, "images": { "current": { "bytes": 76269, "format": "png", "height": 480, "sha256": "a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2278.104541124776, "prepare": 0.30079204589128494, "total": 2278.6035831086338 }, "model": "jev-1.14.0", "online_total_ms": 2278.634167043492, "p_complete": 0.1, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a827a2f466b93f84ffc40ae11374a03bc7cbb222d194387bca4e1ee48d15887a", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 157514, "request_sha256": "c7abe212b11813b00ca8d4dcea622a21d1aff59d03c4a29bb21feb10939d813b", "response_sha256": "c5d9b3bc684d1998a085edb16d40fef9588c4a8309caba9eba82f1841434b20e", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:29.277359+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.30079204589128494, "request_ms": 2278.104541124776, "total_ms": 2278.634167043492 }, "usage": { "input_tokens": 2586, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.74, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.83, "unknown": 0.17 } }, { "attempts": 1, "case_id": "layout-01-unreleased", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013599600000000002, "http_status": 200, "images": { "current": { "bytes": 84090, "format": "png", "height": 480, "sha256": "3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 2229.393291985616, "prepare": 3.380917012691498, "total": 2233.4153749980032 }, "model": "jev-1.14.0", "online_total_ms": 2233.6273330729455, "p_complete": 0.03, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3816b70bacff446c8901713b140fe6d615c880605cdd3ea89089495c641b77d2", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 0.003462491733548149, "linear_speed_m_s": 9.969011014506973e-05, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 0.005988177262940627, "min": 0.003462491733548149 }, "linear_speed_m_s": { "max": 9.969011014506973e-05, "min": 9.643102940812748e-05 }, "position_error_m": { "max": 0.005753664112566862, "min": 0.00574563428980446 }, "robot_contact_force_n": { "max": 0.7619265340093823, "min": 0.760598912244461 }, "table_support_force_n": { "max": 0.30103792478353864, "min": 0.2995624074490855 }, "yaw_error_rad": { "max": 0.08440615838439973, "min": 0.08437097640564 } }, "observation_window_s": 0.2, "position_error_m": 0.00574563428980446, "robot_contact_force_n": 0.7619265340093823, "table_support_force_n": 0.2995624074490855, "target_position_m": [ 0.40145485082066407, -0.09444160792298799, -0.00010962509298383693 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 0.08440615838439973 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 167888, "request_sha256": "27fd66094c3efe56842da714acc7be74fc97e09dea4ad67d7a4fe29ffa17d7a7", "response_sha256": "ec2ad7c5781cf6b3d075030bffd314a43742d28bb3f67b06cb46b9f99b973e73", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:31.583007+00:00", "status": "ok", "timing_ms": { "prepare_ms": 3.380917012691498, "request_ms": 2229.393291985616, "total_ms": 2233.6273330729455 }, "usage": { "input_tokens": 3238, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-03-wrong_object", "condition": "rgb", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00010882200000000001, "http_status": 200, "images": { "current": { "bytes": 79100, "format": "png", "height": 480, "sha256": "78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 2544.7414580266923, "prepare": 1.1196669656783342, "total": 2546.206875005737 }, "model": "jev-1.14.0", "online_total_ms": 2546.2215829174966, "p_complete": 0.01, "p_present": 0.07, "presence": "absent", "request": { "assets": { "dvidia-image-current-78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-78733a16c745bbd647514a3aa15b486f2b799cd413027728fd933b4a72954ab8", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 161045, "request_sha256": "3650b3cd6be734b696e8157da729427b1856d68eb905bce765cff3556c099814", "response_sha256": "e24825999a7fe36f5edc36d6d360db804e869c2ec28f413c8d37395b409f86b4", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:33.858552+00:00", "status": "ok", "timing_ms": { "prepare_ms": 1.1196669656783342, "request_ms": 2544.7414580266923, "total_ms": 2546.2215829174966 }, "usage": { "input_tokens": 2591, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-02-complete", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010882200000000001, "http_status": 200, "images": { "current": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1983.035875018686, "prepare": 0.25320821441709995, "total": 1983.462625183165 }, "model": "jev-1.14.0", "online_total_ms": 1983.5017919540405, "p_complete": 0.47, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163219, "request_sha256": "aae2ccbe47bbe8cb832b48b231d1b1c152c92a5e96417227a5dd2b981a394269", "response_sha256": "afa703ca8b1073398ec736c515573176ef33752959b6ceed077b0e027ba1d864", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:36.414957+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.25320821441709995, "request_ms": 1983.035875018686, "total_ms": 1983.5017919540405 }, "usage": { "input_tokens": 2591, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.86, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.08, "unknown": 0.91 } }, { "attempts": 1, "case_id": "layout-02-complete", "condition": "rgb_telemetry", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.000135198, "http_status": 200, "images": { "current": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 2501.228667097166, "prepare": 0.3746659494936466, "total": 2501.836207928136 }, "model": "jev-1.14.0", "online_total_ms": 2501.8891249783337, "p_complete": 0.51, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 2.7627747344185066e-09, "linear_speed_m_s": 9.86007602226177e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361619074e-06, "min": 2.7627747344185066e-09 }, "linear_speed_m_s": { "max": 1.0577925091174393e-06, "min": 9.86007602226177e-10 }, "position_error_m": { "max": 1.0856805243386722e-07, "min": 1.0856741745389504e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.294299999001435, "min": 0.29429892478866115 }, "yaw_error_rad": { "max": 2.1965563118397924e-09, "min": 2.1963403873392906e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805243386722e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.294299999001435, "target_position_m": [ 0.4299999858101823, -0.16000010763675526, -0.00010773874568926887 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965563118397924e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 164167, "request_sha256": "faa58fbc2678ab387f1f7f8b7c24aa781e0259cbf19a89a7459932ecb2a5d768", "response_sha256": "13bdf0e6b146f6826aeebf4fc4c6f6157b485b9b47d25df54f93cdc7b38b460f", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:38.415672+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3746659494936466, "request_ms": 2501.228667097166, "total_ms": 2501.8891249783337 }, "usage": { "input_tokens": 3219, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.43, "verdict_probabilities": { "complete": 0.19, "incomplete": 0.19, "unknown": 0.62 } }, { "attempts": 1, "case_id": "layout-03-wrong_position", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013452600000000002, "http_status": 200, "images": { "current": { "bytes": 81396, "format": "png", "height": 480, "sha256": "266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 2419.5830000098795, "prepare": 0.2993340604007244, "total": 2420.3172919806093 }, "model": "jev-1.14.0", "online_total_ms": 2420.466334093362, "p_complete": 0.09, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-266dcb71e61f8151fa2e56e7e3db4f561ff42830e44d0c7ff25cd7ea59843957", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "measured_state": { "angular_speed_rad_s": 2.762774718512132e-09, "linear_speed_m_s": 9.86007647555542e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361579335e-06, "min": 2.762774718512132e-09 }, "linear_speed_m_s": { "max": 1.0577925090868942e-06, "min": 9.86007647555542e-10 }, "position_error_m": { "max": 0.1699999688431964, "min": 0.16999996884296226 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014348, "min": 0.29429892478866077 }, "yaw_error_rad": { "max": 2.19655620081749e-09, "min": 2.1963403318281394e-09 } }, "observation_window_s": 0.2, "position_error_m": 0.16999996884296226, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014348, "target_position_m": [ 0.5499999688429305, -0.07000010400124504, -0.00010773874568926812 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.19655620081749e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 164275, "request_sha256": "8a5b29305dec3510c2c7960557a0ef043eafb4237293f6b1507f3197242607fa", "response_sha256": "390bcd50d681c653c1696bbd4b4dc5e11261a9f1ab2ade541cfae32992b76abb", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:40.937336+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.2993340604007244, "request_ms": 2419.5830000098795, "total_ms": 2420.466334093362 }, "usage": { "input_tokens": 3203, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.77, "verdict_probabilities": { "complete": 0.02, "incomplete": 0.85, "unknown": 0.13 } }, { "attempts": 1, "case_id": "layout-01-missing_target", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00011999400000000002, "http_status": 200, "images": { "current": { "bytes": 72825, "format": "png", "height": 480, "sha256": "b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 952.9406251385808, "prepare": 0.5322920624166727, "total": 953.6630420479923 }, "model": "jev-1.14.0", "online_total_ms": 953.6735839210451, "p_complete": 0.02, "p_present": 0.15, "presence": "absent", "request": { "assets": { "dvidia-image-current-b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-b956ae597b88d4b82b67b00d6ad6e41bb75eb184fd320d94e2fa76115857d43d", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 156283, "request_sha256": "150e2666d6e63b662012e973a5ab1e6e614d3492b7f324cdf3e9de9a3f0f4c98", "response_sha256": "02fcf514e0408380dc5cdd36e091218de34c3414f46b2cdc5166c58b48758b27", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:43.387054+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5322920624166727, "request_ms": 952.9406251385808, "total_ms": 953.6735839210451 }, "usage": { "input_tokens": 2857, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.91, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.94, "unknown": 0.06 } }, { "attempts": 1, "case_id": "layout-01-occluded", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010865400000000001, "http_status": 200, "images": { "current": { "bytes": 68346, "format": "png", "height": 480, "sha256": "747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 1031.1164997983724, "prepare": 0.42341696098446846, "total": 1033.0343330278993 }, "model": "jev-1.14.0", "online_total_ms": 1033.2432501018047, "p_complete": 0.03, "p_present": 0.41, "presence": "unknown", "request": { "assets": { "dvidia-image-current-747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-747b50dcdcb37d89c0a4a882fff12057e9062bd2c171154d1a6d408ef3e8af0d", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 151174, "request_sha256": "f653413e688093b5eec5d7b0597618d5946991f0921fb372650c7f562decfe95", "response_sha256": "d61a0308080568182dd07dc2cedee052f6455e74459565f8914d287869fffaf6", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:44.357438+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.42341696098446846, "request_ms": 1031.1164997983724, "total_ms": 1033.2432501018047 }, "usage": { "input_tokens": 2587, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.86, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.91, "unknown": 0.09 } }, { "attempts": 1, "case_id": "layout-04-wrong_object", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.000120036, "http_status": 200, "images": { "current": { "bytes": 78104, "format": "png", "height": 480, "sha256": "3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 2679.975708015263, "prepare": 0.7898749317973852, "total": 2681.5356670413166 }, "model": "jev-1.14.0", "online_total_ms": 2681.6896251402795, "p_complete": 0.01, "p_present": 0.06, "presence": "absent", "request": { "assets": { "dvidia-image-current-3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-3e75f36cfbb95243a844e72ef822049b103cdf547c446d6e8e5652abf499a236", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159979, "request_sha256": "b364766ccfff769c100afd83646101a3b4660191294982804942390f264d1cc3", "response_sha256": "29958d6df9ad52571cbe818b60455fe50ac9e01e2767ae148b0ec443490a5e43", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:45.429730+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.7898749317973852, "request_ms": 2679.975708015263, "total_ms": 2681.6896251402795 }, "usage": { "input_tokens": 2858, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-01-wrong_position", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013477800000000003, "http_status": 200, "images": { "current": { "bytes": 83583, "format": "png", "height": 480, "sha256": "37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 2054.8945001792163, "prepare": 0.5138330161571503, "total": 2055.7215409353375 }, "model": "jev-1.14.0", "online_total_ms": 2055.7320828083903, "p_complete": 0.12, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-37862bb8c714993723236aa25d806a62229856edb4d17c489a02ea1fd777326a", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "measured_state": { "angular_speed_rad_s": 2.7627747009029746e-09, "linear_speed_m_s": 9.860075879684076e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233362534212e-06, "min": 2.7627747009029746e-09 }, "linear_speed_m_s": { "max": 1.057792509173234e-06, "min": 9.860075879684076e-10 }, "position_error_m": { "max": 0.1699999772540272, "min": 0.1699999772538407 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.29429999900143505, "min": 0.2942989247886605 }, "yaw_error_rad": { "max": 2.1965561161782934e-09, "min": 2.1963402702132865e-09 } }, "observation_window_s": 0.2, "position_error_m": 0.1699999772538407, "robot_contact_force_n": 0.0, "table_support_force_n": 0.29429999900143505, "target_position_m": [ 0.5699999772538076, -0.10000010615852632, -0.00010773874568926917 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965561161782934e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 167351, "request_sha256": "a0ed0c8c2f72b936e34711c88f874179a2af286a17e8eaf9068dfe41bdf8e778", "response_sha256": "e55d6a08c4e86a6f58bcb7d330bded12487c58e2c0a5e594c12522d0b133c2f7", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:48.125387+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.5138330161571503, "request_ms": 2054.8945001792163, "total_ms": 2055.7320828083903 }, "usage": { "input_tokens": 3209, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.74, "verdict_probabilities": { "complete": 0.03, "incomplete": 0.83, "unknown": 0.14 } }, { "attempts": 1, "case_id": "layout-04-missing_target", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010861200000000001, "http_status": 200, "images": { "current": { "bytes": 70111, "format": "png", "height": 480, "sha256": "9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1899.500791914761, "prepare": 0.2569160424172878, "total": 1899.9369579833 }, "model": "jev-1.14.0", "online_total_ms": 1899.963374948129, "p_complete": 0.03, "p_present": 0.23, "presence": "unknown", "request": { "assets": { "dvidia-image-current-9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9d747de133583f8a3977332732a609f68eed97879615fdcee73ec0b12d091ecf", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 151356, "request_sha256": "517d5035ec97f26d3d2c5ba307c827dac3f5e5a2cc831b82d648c94cdb6f2ef8", "response_sha256": "636e96d021a1cb87c1d471ccc4d706f6166e5e4db6f14849619a2fad5980ad2d", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:50.195022+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.2569160424172878, "request_ms": 1899.500791914761, "total_ms": 1899.963374948129 }, "usage": { "input_tokens": 2586, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.88, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.92, "unknown": 0.08 } }, { "attempts": 1, "case_id": "layout-03-missing_target", "condition": "rgb", "decision": { "complete": false, "present": null }, "error": null, "estimated_input_cost_usd": 0.00010865400000000001, "http_status": 200, "images": { "current": { "bytes": 72934, "format": "png", "height": 480, "sha256": "d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1023.5898750834167, "prepare": 0.3506250213831663, "total": 1024.0429579280317 }, "model": "jev-1.14.0", "online_total_ms": 1024.055042071268, "p_complete": 0.04, "p_present": 0.23, "presence": "unknown", "request": { "assets": { "dvidia-image-current-d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-d091c877c2762f156c115dc2a2d960d2619c4a47279dbf5bee136aaa8ace6d1d", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 154879, "request_sha256": "4a5cfb98445b511272f4eece16db8e09eedb075da0ce456fedc68d1280dda3f6", "response_sha256": "e94459d6015fdff1c1b0870f3b48a923cfcefe03e2c2819770e3f31a902d3b35", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:52.118661+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3506250213831663, "request_ms": 1023.5898750834167, "total_ms": 1024.055042071268 }, "usage": { "input_tokens": 2587, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.86, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.91, "unknown": 0.09 } }, { "attempts": 1, "case_id": "layout-03-complete", "condition": "rgb", "decision": { "complete": null, "present": true }, "error": null, "estimated_input_cost_usd": 0.00010873800000000001, "http_status": 200, "images": { "current": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 }, "goal": { "bytes": 78462, "format": "png", "height": 480, "sha256": "9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "width": 640 } }, "latency_ms": { "http": 1773.661875165999, "prepare": 0.7055839523673058, "total": 1775.2289169002324 }, "model": "jev-1.14.0", "online_total_ms": 1775.3270829562098, "p_complete": 0.52, "p_present": 0.95, "presence": "present", "request": { "assets": { "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "goal_image": "dvidia-image-goal-9e077553701f0b54929386b69abc0d4a531f4dd8d0ef8c164dfbd4e11c2eec22", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 160407, "request_sha256": "727e854ff9361e8e1948877d2d380e35c57ed6860a950f0e281a7f884a68725c", "response_sha256": "56659a0a901ac0f55d6dfe67b719789dabac2254f00965ae4ffaab8134860040", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:53.164014+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.7055839523673058, "request_ms": 1773.661875165999, "total_ms": 1775.3270829562098 }, "usage": { "input_tokens": 2589, "output_tokens": 73 }, "verdict": "unknown", "verdict_confidence": 0.82, "verdict_probabilities": { "complete": 0.01, "incomplete": 0.11, "unknown": 0.88 } }, { "attempts": 1, "case_id": "layout-02-moving_alias", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00012587400000000002, "http_status": 200, "images": { "current": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 924.4233330246061, "prepare": 0.3233749885112047, "total": 925.359999993816 }, "model": "jev-1.14.0", "online_total_ms": 925.3842909820378, "p_complete": 0.02, "p_present": 0.97, "presence": "present", "request": { "assets": { "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 2.7627747344185066e-09, "linear_speed_m_s": 0.12, "native_observation_count": 0, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": null, "min": null }, "table_support_force_n": { "max": null, "min": null }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.0, "position_error_m": 1.0856805243386722e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.36239906646539655, "target_position_m": [ 0.4299999858101823, -0.16000010763675526, -0.00010773874568926887 ], "target_present": true, "target_present_observation_count": 0, "yaw_error_rad": 2.1965563118397924e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163981, "request_sha256": "2b2cf534f89561d955526b1bb1db41baba75a591546dcd80349293a345ae7877", "response_sha256": "d68a37c7f1e1c6730f8840aec7772ff1a98c33400e5a41ddec064a16bc8ba8d6", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:54.960822+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3233749885112047, "request_ms": 924.4233330246061, "total_ms": 925.3842909820378 }, "usage": { "input_tokens": 2997, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-04-wrong_position", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134694, "http_status": 200, "images": { "current": { "bytes": 80849, "format": "png", "height": 480, "sha256": "a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1776.4889169484377, "prepare": 0.6570839323103428, "total": 1777.4468748830259 }, "model": "jev-1.14.0", "online_total_ms": 1777.5020417757332, "p_complete": 0.05, "p_present": 0.96, "presence": "present", "request": { "assets": { "dvidia-image-current-a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-a000a38d4e067649cdcac56ec77942730e0a67093338880d974e90e912b7df48", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 2.762774742684285e-09, "linear_speed_m_s": 9.86007605782391e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.0468233361281146e-06, "min": 2.762774742684285e-09 }, "linear_speed_m_s": { "max": 1.0577925090883427e-06, "min": 9.86007605782391e-10 }, "position_error_m": { "max": 0.16999999337348212, "min": 0.16999999337338886 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.29429999900143494, "min": 0.2942989247886607 }, "yaw_error_rad": { "max": 2.1965565755177607e-09, "min": 2.196340442850442e-09 } }, "observation_window_s": 0.2, "position_error_m": 0.16999999337338886, "robot_contact_force_n": 0.0, "table_support_force_n": 0.29429999900143494, "target_position_m": [ 0.5899999933733543, -0.13000010836562884, -0.00010773874568926881 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965565755177607e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 163033, "request_sha256": "9a86c3e586b664e74763f17964bb1f41aae3dc2d3e938a2af44de193e52754d8", "response_sha256": "c7967980a6757fcda7c16fbf0a06fae12e254bf389ec2fbc273a2823ac8d4726", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:55.908619+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.6570839323103428, "request_ms": 1776.4889169484377, "total_ms": 1777.5020417757332 }, "usage": { "input_tokens": 3207, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.83, "verdict_probabilities": { "complete": 0.02, "incomplete": 0.89, "unknown": 0.09 } }, { "attempts": 1, "case_id": "layout-01-wrong_object", "condition": "rgb", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.00010865400000000001, "http_status": 200, "images": { "current": { "bytes": 80061, "format": "png", "height": 480, "sha256": "83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452", "width": 640 }, "goal": { "bytes": 79345, "format": "png", "height": 480, "sha256": "550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "width": 640 } }, "latency_ms": { "http": 882.9312911257148, "prepare": 0.6170000415295362, "total": 883.6897080764174 }, "model": "jev-1.14.0", "online_total_ms": 883.703958010301, "p_complete": 0.01, "p_present": 0.07, "presence": "absent", "request": { "assets": { "dvidia-image-current-83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-83af097bb71ac714e02954029a91edc4fb8f51948e01ed70d31d705dcf593452", "goal_image": "dvidia-image-goal-550516b315cb198407b0ef3be997af97805c11fcfe6b587b1091affd8060e8fb", "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162889, "request_sha256": "57238b47f9786cb04bcc447130e5b4be6db4fe108092005392ea161d36e7b8f9", "response_sha256": "de8512da9cd78168464a493d52a0f2f5746a7a54ec9f9320d8638331e451bf69", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:57.711712+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.6170000415295362, "request_ms": 882.9312911257148, "total_ms": 883.703958010301 }, "usage": { "input_tokens": 2587, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-04-complete", "condition": "rgb_telemetry", "decision": { "complete": true, "present": true }, "error": null, "estimated_input_cost_usd": 0.000134862, "http_status": 200, "images": { "current": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 }, "goal": { "bytes": 77762, "format": "png", "height": 480, "sha256": "76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "width": 640 } }, "latency_ms": { "http": 1399.2616669274867, "prepare": 0.4274582024663687, "total": 1399.8449170030653 }, "model": "jev-1.14.0", "online_total_ms": 1399.8680000659078, "p_complete": 0.73, "p_present": 0.98, "presence": "present", "request": { "assets": { "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "goal_image": "dvidia-image-goal-76cba333e8bdf56f1b9e6011247095507ede97697ef99ada4b47ea7d1c71d3fa", "measured_state": { "angular_speed_rad_s": 2.7627745907984584e-09, "linear_speed_m_s": 9.860076016164131e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.046823336175752e-06, "min": 2.7627745907984584e-09 }, "linear_speed_m_s": { "max": 1.057792509081208e-06, "min": 9.860076016164131e-10 }, "position_error_m": { "max": 1.0856805211389336e-07, "min": 1.085674170840469e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.294299999001435, "min": 0.29429892478866077 }, "yaw_error_rad": { "max": 2.1965565755177607e-09, "min": 2.196340442850442e-09 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805211389336e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.294299999001435, "target_position_m": [ 0.4199999933733547, -0.13000010836562884, -0.00010773874568926879 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 2.1965565755177607e-09 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 159953, "request_sha256": "63d8307d311a3bfd90ef515017c251ee82d3e4b714f7fd7bd716bf53b4d5974d", "response_sha256": "1c86e65094286541fc58ab43f2bc720b6e3046dae9db1807d5e70551706e8b22", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:09:58.617926+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.4274582024663687, "request_ms": 1399.2616669274867, "total_ms": 1399.8680000659078 }, "usage": { "input_tokens": 3211, "output_tokens": 73 }, "verdict": "complete", "verdict_confidence": 0.3, "verdict_probabilities": { "complete": 0.53, "incomplete": 0.07, "unknown": 0.4 } }, { "attempts": 1, "case_id": "layout-02-wrong_object", "condition": "rgb_telemetry", "decision": { "complete": false, "present": false }, "error": null, "estimated_input_cost_usd": 0.000120204, "http_status": 200, "images": { "current": { "bytes": 80112, "format": "png", "height": 480, "sha256": "441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 860.6517501175404, "prepare": 0.3881249576807022, "total": 861.1160409636796 }, "model": "jev-1.14.0", "online_total_ms": 861.1239169258624, "p_complete": 0.01, "p_present": 0.07, "presence": "absent", "request": { "assets": { "dvidia-image-current-441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-441dadb181f982e7393eb40642a2a035037f88a13c170b9b227cd6e46f3f4ebc", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": null, "linear_speed_m_s": null, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": null, "min": null }, "linear_speed_m_s": { "max": null, "min": null }, "position_error_m": { "max": null, "min": null }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.0, "min": 0.0 }, "yaw_error_rad": { "max": null, "min": null } }, "observation_window_s": 0.2, "position_error_m": null, "robot_contact_force_n": 0.0, "table_support_force_n": 0.0, "target_position_m": null, "target_present": false, "target_present_observation_count": 0, "yaw_error_rad": null }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 164093, "request_sha256": "01b8450027128d7fe455f7d3b39c54fcac74a8fe25ff196aa0e15237b9f4f35f", "response_sha256": "7f2adec7ac4c0aee3dfa53a2c27a97e4715688f60a392e2c7c3c84a4b5b02209", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:10:00.042418+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.3881249576807022, "request_ms": 860.6517501175404, "total_ms": 861.1239169258624 }, "usage": { "input_tokens": 2862, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.97, "verdict_probabilities": { "complete": 0.0, "incomplete": 0.98, "unknown": 0.02 } }, { "attempts": 1, "case_id": "layout-02-wrong_orientation", "condition": "rgb_telemetry", "decision": { "complete": false, "present": true }, "error": null, "estimated_input_cost_usd": 0.00013452600000000002, "http_status": 200, "images": { "current": { "bytes": 78325, "format": "png", "height": 480, "sha256": "66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144", "width": 640 }, "goal": { "bytes": 79868, "format": "png", "height": 480, "sha256": "a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "width": 640 } }, "latency_ms": { "http": 1713.2446670439094, "prepare": 0.2717080060392618, "total": 1713.621041039005 }, "model": "jev-1.14.0", "online_total_ms": 1713.639167137444, "p_complete": 0.05, "p_present": 0.94, "presence": "present", "request": { "assets": { "dvidia-image-current-66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144": { "format": "png", "part": "current", "type": "image" }, "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3": { "format": "png", "part": "goal", "type": "image" } }, "model": "jev-1.14.0", "questions": { "completion": { "criteria": { "false": "At least one physical requirement explicitly defined in `task` is not satisfied.", "true": "All physical requirements explicitly defined in `task` are satisfied." }, "instructions": "Has the physical goal in `task` actually been achieved now? Compare `current_image` with `goal_image` and use any supplied `measured_state`. Matching appearance alone does not prove hidden support, release, stability, identity or dwell requirements. Return the probability of physical completion; express uncertainty when the provided evidence cannot establish those requirements.", "type": "noul" }, "presence": { "criteria": { "false": "The target object is absent from the current scene.", "true": "The target object is present in the current scene." }, "instructions": "Is the target object specified by `task` and shown in `goal_image` present in the current scene? Use `current_image` and any supplied `measured_state`. Do not confuse a different object with the target. Occlusion or missing measurements can leave presence uncertain.", "type": "noul" }, "verdict": { "criteria": { "complete": "Available evidence establishes every physical requirement in `task`.", "incomplete": "Available evidence establishes that at least one physical requirement in `task` is not satisfied.", "unknown": "No observed failure is established, but the available evidence cannot establish every physical requirement in `task`." }, "instructions": "What conclusion about completion of `task` is justified by `current_image`, `goal_image` and any supplied `measured_state`? Assess only the supplied evidence. Do not invent unseen telemetry or assume that a single image establishes stability over time.", "type": "choice" } }, "state": { "current_image": "dvidia-image-current-66935db963dd00862c83e0fc8af06939d0f017d7801a328870f0feb49e64a144", "goal_image": "dvidia-image-goal-a3221e451c24b164f0348f2cb6517d2bd2589a444c3d8d71a9942a98dee0bdf3", "measured_state": { "angular_speed_rad_s": 2.762774938435085e-09, "linear_speed_m_s": 9.86007540976695e-10, "native_observation_count": 100, "native_timestep_s": 0.002, "native_window_extrema": { "angular_speed_rad_s": { "max": 2.04682333632664e-06, "min": 2.762774938435085e-09 }, "linear_speed_m_s": { "max": 1.0577925091088337e-06, "min": 9.86007540976695e-10 }, "position_error_m": { "max": 1.0856805246501234e-07, "min": 1.085674174082394e-07 }, "robot_contact_force_n": { "max": 0.0, "min": 0.0 }, "table_support_force_n": { "max": 0.2942999990014351, "min": 0.29429892478866126 }, "yaw_error_rad": { "max": 1.5707963245985526, "min": 1.5707963245983363 } }, "observation_window_s": 0.2, "position_error_m": 1.0856805246501234e-07, "robot_contact_force_n": 0.0, "table_support_force_n": 0.2942999990014351, "target_position_m": [ 0.4300001076367553, -0.16000001418981774, -0.0001077387456892687 ], "target_present": true, "target_present_observation_count": 100, "yaw_error_rad": 1.5707963245983367 }, "task": "Place the green shoe inside the outlined goal zone, matching the goal image's position and orientation. Completion requires the target shoe to have table support force greater than 0.01 N, robot contact force at most 0.01 N, XY position error at most 25 mm, yaw error at most 15 degrees, linear speed at most 0.01 m/s and angular speed at most 0.05 rad/s, all continuously for at least 200 ms. The goal picture is a visual reference, not proof that these physical conditions hold in the current picture. Answer unknown when the inputs cannot establish the required physical conditions. An orange shoe is a different object. The opaque inspection cover can hide the target." } }, "request_bytes": 162608, "request_sha256": "b525b55a98301c6e1360cf7f82ec7a4215658fd7ba841fa75de19aa3ceea649e", "response_sha256": "718e17ed94a152b10f586a49e41e033efa967b038fe40af057e39cc40a31cb82", "socket_timeout_s": 20.0, "started_at": "2026-10-19T04:10:00.913809+00:00", "status": "ok", "timing_ms": { "prepare_ms": 0.2717080060392618, "request_ms": 1713.2446670439094, "total_ms": 1713.639167137444 }, "usage": { "input_tokens": 3203, "output_tokens": 75 }, "verdict": "incomplete", "verdict_confidence": 0.76, "verdict_probabilities": { "complete": 0.03, "incomplete": 0.84, "unknown": 0.13 } } ], "schema": "dvidia.image-goal-results/v1", "status": "completed", "updated_at": "2026-10-19T04:10:02.643290+00:00" }