Publish reconstruction readouts and benchmark leaderboard

README.md

@@ -21,6 +21,7 @@ configs:
   - split: test
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
   features:
   - name: reference_image
     dtype: image
@@ -528,6 +529,9 @@ configs:
   - split: gpt_6_1_sol
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+  - split: qwen_qwen3_8_27b_deepinfra
+    path:
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_harness
   features:
   - name: reference_image
@@ -784,6 +788,7 @@ configs:
   - split: pi
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_skills
   features:
   - name: reference_image
@@ -1040,6 +1045,7 @@ configs:
   - split: none
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_reference_set
   features:
   - name: reference_image
@@ -1296,6 +1302,7 @@ configs:
   - split: nv25
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_protocol
   features:
   - name: reference_image
@@ -1552,6 +1559,7 @@ configs:
   - split: authoring_64_native_output_v1
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_reasoning
   features:
   - name: reference_image
@@ -1808,6 +1816,9 @@ configs:
   - split: high
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.parquet
+  - split: xhigh
+    path:
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
 - config_name: by_asset
   features:
   - name: reference_image
@@ -2094,6 +2105,7 @@ configs:
   - split: food_produce_broccoli_b01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_broccoli_b01.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.parquet
   - split: handtool_hammer_crosspeen_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_hammer_crosspeen_a01.parquet

runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/report.html

@@ -0,0 +1 @@
+<!doctype html><html lang="en"><meta charset="utf-8"><meta name="viewport" content="width=device-width"><meta http-equiv="Content-Security-Policy" content="default-src 'none'; img-src 'self'; style-src 'unsafe-inline'"><title>SimReadyBench results</title><style>body{font:16px Georgia,serif;line-height:1.6;max-width:1200px;margin:3rem auto;padding:0 1.5rem;background:#fff;color:#202020}a{color:#254e75}h1,h2,h3{line-height:1.25}summary{cursor:pointer}details{margin:1rem 0}.images{display:grid;grid-template-columns:repeat(auto-fit,minmax(260px,1fr));gap:1.5rem}figure{margin:0}img{width:100%;height:auto}figcaption{font-size:14px}table{border-collapse:collapse;width:100%;font-size:14px}th,td{text-align:left;vertical-align:top;border-bottom:1px solid #ddd;padding:8px}.table{overflow-x:auto;margin:1rem 0}section{border-top:1px solid #ddd;padding:1.5rem 0}.artefacts{font-size:14px}</style><h1>SimReadyBench results</h1><p>Formal fidelity measures SimReady Robotics-Prop requirements. Visual fidelity combines shape and appearance materials. Kinematic fidelity measures joint recovery and motion correspondence. Each score is reported independently.</p><p>1 of 100 reconstruction attempts completed.</p><p><a href="scores.csv">Scores CSV</a> | <a href="results.json">Detailed results JSON</a></p><h2>Results by asset</h2><div class="table"><table><thead><tr><th>Asset</th><th>Model</th><th>Harness</th><th>Skills</th><th>Repetition</th><th>Status</th><th>Formal fidelity (%)</th><th>Visual fidelity (%)</th><th>Kinematic fidelity (%)</th><th>SimReady Robotics-Prop optional</th><th>Shape (%)</th><th>Rigid parts (%)</th><th>Joints (%)</th><th>Materials (%)</th><th>Model requests</th><th>Validation calls</th><th>Request errors</th><th>Elapsed time (s)</th><th>Model request time (s)</th><th>Input tokens</th><th>Output tokens</th><th>Total tokens</th><th>Inference cost (USD)</th><th>Compute cost (USD)</th><th>Total cost (USD)</th></tr></thead><tbody><tr><td>food_produce_broccoli_b01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>1</td><td>completed</td><td>0% (0/46)</td><td>0% (0/2)</td><td>N/A</td><td>Not measured (0/51), 51 unmeasured, bounds 0%-100%</td><td>0% (0/1)</td><td>0% (0/1)</td><td>N/A</td><td>0% (0/20480)</td><td>64</td><td>0</td><td>0</td><td>3340.14</td><td>3287.04</td><td>3550457</td><td>67447</td><td>3617904</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><section id="attempt-1"><h2>food_produce_broccoli_b01 / Qwen/Qwen3.8-27B:deepinfra / repetition 1</h2><div class="table"><table><thead><tr><th>Model</th><th>Harness</th><th>Skills</th><th>Repetition</th><th>Status</th></tr></thead><tbody><tr><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>1</td><td>completed</td></tr></tbody></table></div><div class="table"><table><thead><tr><th>Formal fidelity (%)</th><th>Visual fidelity (%)</th><th>Kinematic fidelity (%)</th><th>SimReady Robotics-Prop optional</th><th>Shape (%)</th><th>Rigid parts (%)</th><th>Joints (%)</th><th>Materials (%)</th></tr></thead><tbody><tr><td>0% (0/46)</td><td>0% (0/2)</td><td>N/A</td><td>Not measured (0/51), 51 unmeasured, bounds 0%-100%</td><td>0% (0/1)</td><td>0% (0/1)</td><td>N/A</td><td>0% (0/20480)</td></tr></tbody></table></div><h3>Requests, timing and costs</h3><div class="table"><table><thead><tr><th>Model requests</th><th>Validation calls</th><th>Request errors</th><th>Elapsed time (s)</th><th>Model request time (s)</th><th>Input tokens</th><th>Output tokens</th><th>Total tokens</th><th>Inference cost (USD)</th><th>Compute cost (USD)</th><th>Total cost (USD)</th></tr></thead><tbody><tr><td>64</td><td>0</td><td>0</td><td>3340.14</td><td>3287.04</td><td>3550457</td><td>67447</td><td>3617904</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><p>0 of 46 mandatory requirements passed.</p><h3>Direct USD reconstruction fidelity</h3><div class="table"><table><thead><tr><th>Component</th><th>Fidelity (%)</th><th>Credit</th><th>Measured</th><th>Eligible</th><th>Reference coverage (%)</th></tr></thead><tbody><tr><td>Shape</td><td>0</td><td>0/1</td><td>1</td><td>1</td><td>100</td></tr><tr><td>Rigid parts</td><td>0</td><td>0/1</td><td>1</td><td>1</td><td>100</td></tr><tr><td>Joints</td><td>Not applicable</td><td>0/0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>Materials</td><td>0</td><td>0/20480</td><td>20480</td><td>20480</td><td>83.33</td></tr></tbody></table></div><h3>Appearance materials</h3><div class="table"><table><thead><tr><th>Score (%)</th><th>Earned/eligible</th><th>Status</th></tr></thead><tbody><tr><td>0</td><td>0/2048</td><td>measured</td></tr></tbody></table></div><h3>Kinematic correspondence</h3><div class="table"><table><thead><tr><th>Factor</th><th>Score (%)</th><th>Earned/eligible</th><th>Measured/eligible</th><th>Coverage (%)</th></tr></thead><tbody><tr><td>Fixed constraints</td><td>Not measured</td><td>0/0</td><td>0/0</td><td>0</td></tr><tr><td>Moving joints</td><td>Not measured</td><td>0/0</td><td>0/0</td><td>0</td></tr></tbody></table></div><div class="table"><table><thead><tr><th>Reference joint</th><th>Candidate joint</th><th>Score (%)</th><th>Motion RMS (mm)</th><th>Status</th></tr></thead><tbody></tbody></table></div><h3>Surface correspondence</h3><div class="table"><table><thead><tr><th>Precision (%)</th><th>Recall (%)</th><th>Samples per direction</th><th>Distance band (mm)</th><th>RMS distance (mm)</th><th>95th-percentile distance (mm)</th></tr></thead><tbody><tr><td>0</td><td>0</td><td>2048</td><td>3.68</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><h3>Rigid-part correspondence</h3><div class="table"><table><thead><tr><th>Reference body</th><th>Candidate body</th><th>Surface correspondence (%)</th></tr></thead><tbody><tr><td>/RootNode/Geometry/sm_food_produce_broccoli_b01_obj_00</td><td>Not measured</td><td>0</td></tr></tbody></table></div><h3>Joint correspondence</h3><div class="table"><table><thead><tr><th>Reference joints</th><th>Candidate joints</th><th>Passed/eligible checks</th></tr></thead><tbody><tr><td>0</td><td>0</td><td>0/0</td></tr></tbody></table></div><h3>Rigid-structure checks</h3><div class="table"><table><thead><tr><th>Feature</th><th>Passed/eligible</th><th>Measured/eligible</th></tr></thead><tbody><tr><td>body_count</td><td>0/1</td><td>1/1</td></tr><tr><td>joint_inventory_count</td><td>0/1</td><td>1/1</td></tr><tr><td>body_enabled</td><td>0/1</td><td>1/1</td></tr><tr><td>body_kinematic</td><td>0/1</td><td>1/1</td></tr></tbody></table></div><h3>Material correspondence</h3><div class="table"><table><thead><tr><th>Property</th><th>Credit/eligible</th><th>Correspondence (%)</th></tr></thead><tbody><tr><td>physics:assignment</td><td>0/2048</td><td>0</td></tr><tr><td>physics:density</td><td>0/2048</td><td>0</td></tr><tr><td>physics:dynamicFriction</td><td>0/2048</td><td>0</td></tr><tr><td>physics:restitution</td><td>0/2048</td><td>0</td></tr><tr><td>physics:staticFriction</td><td>0/2048</td><td>0</td></tr><tr><td>visual:assignment</td><td>0/2048</td><td>0</td></tr><tr><td>visual:diffuseColor</td><td>0/2048</td><td>0</td></tr><tr><td>visual:metallic</td><td>0/2048</td><td>0</td></tr><tr><td>visual:opacity</td><td>0/2048</td><td>0</td></tr><tr><td>visual:roughness</td><td>0/2048</td><td>0</td></tr></tbody></table></div><p class="artefacts"><a href="evidence/food_produce_broccoli_b01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section></html>

runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/results.json

@@ -0,0 +1,1976 @@
+{
+  "schema": "simready-bench-portable-report-v1",
+  "planned_conditions": 100,
+  "completed_conditions": 1,
+  "partial": true,
+  "settings": {
+    "reference_assets": [
+      "accessory_eyeglasses_a01",
+      "box_cardboard_open_a01",
+      "bucket_utility_red_a01",
+      "chair_office_amf_black_a01",
+      "cleaning_cloth_a01",
+      "container_bottle_glass_a01",
+      "engineComponent_camshaft_a01",
+      "food_beverage_coffeeCup_a01",
+      "food_prepared_croissant_a01",
+      "food_produce_banana_a01",
+      "food_produce_broccoli_b01",
+      "handTool_hammer_crossPeen_a01",
+      "handTool_wrench_adjustable_a01",
+      "handTruck_convertible_steel_red_a01",
+      "kitchenware_kettle_a01",
+      "kitchenware_pan_j01",
+      "pallet_wood_recycled_a05",
+      "powerTool_drill_b01",
+      "ppe_helmet_hardHat_a01",
+      "serviceTool_funnel_flexibleSpout_a01",
+      "sign_wetFloor_a01",
+      "suspension_coilover_rear_b01",
+      "tools_fireExtinguisher_CO2_a01",
+      "utensils_scissors_a01",
+      "wheelAssembly_wheel_rim_a01"
+    ],
+    "reference_revision": "f4860aa0c75607adb50a78bf96e77510bffc040f",
+    "repetitions": 4,
+    "master_seed": 0,
+    "models": [
+      {
+        "id": "selected",
+        "model_id": "Qwen/Qwen3.8-27B:deepinfra",
+        "adapter": "openai-completions",
+        "generation": {
+          "output_limit": "provider-native",
+          "max_output_tokens": null,
+          "reasoning_effort": "xhigh"
+        }
+      }
+    ],
+    "harnesses": [
+      {
+        "id": "pi",
+        "agent": "pi",
+        "adapter": "harbor"
+      }
+    ],
+    "skill_sets": [
+      {
+        "id": "none",
+        "skills": []
+      }
+    ],
+    "authoring_protocol": "authoring-64-native-output-v1",
+    "scoring_profile": {
+      "id": "Robotics-Prop",
+      "version": "4.0.0"
+    },
+    "scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
+    "generation": {
+      "output_limit": "provider-native",
+      "max_output_tokens": null,
+      "reasoning_effort": "xhigh"
+    },
+    "system_prompt": "Reconstruct the reference as a self-contained USD asset. Use SI units and the provided verifier feedback.",
+    "fidelity": {
+      "samples": 2048,
+      "distance_m": 0.001,
+      "distance_relative": 0.01,
+      "joint_position_m": 0.001,
+      "joint_position_relative": 0.01,
+      "joint_angle_degrees": 3,
+      "range_degrees": 5,
+      "range_m": 0.005,
+      "range_relative": 0.05,
+      "material_absolute": 0.05,
+      "material_relative": 0.05,
+      "joint_existence_type": true
+    },
+    "captures": {
+      "renderer": "storm-llvmpipe",
+      "width": 384,
+      "views": [
+        "isometric",
+        "front",
+        "side"
+      ]
+    }
+  },
+  "results": [
+    {
+      "condition_id": "condition-b34e667c614e3f0fd8853140006c3d53d6d02f365408f53367972c42e9eef9f1",
+      "asset_id": "food_produce_broccoli_b01",
+      "requested_model": "Qwen/Qwen3.8-27B:deepinfra",
+      "harness_id": "pi",
+      "skill_set_id": "none",
+      "repetition": 0,
+      "status": "completed",
+      "formal_fidelity_percent": 0.0,
+      "visual_fidelity_percent": 0.0,
+      "kinematic_fidelity_percent": null,
+      "simready_reward": 0.0,
+      "mandatory_passed": 0,
+      "mandatory_total": 46,
+      "mandatory_failed": 46,
+      "mandatory_unknown": 0,
+      "mandatory_lower_bound_percent": 0.0,
+      "mandatory_upper_bound_percent": 0.0,
+      "completion_bonus": 0,
+      "optional_score_percent": null,
+      "optional_passed": 0,
+      "optional_failed": 0,
+      "optional_unknown": 51,
+      "optional_total": 51,
+      "optional_measured": 0,
+      "optional_coverage": 0.0,
+      "optional_lower_bound_percent": 0.0,
+      "optional_upper_bound_percent": 100.0,
+      "fidelity_shape_percent": 0.0,
+      "fidelity_rigid_parts_percent": 0.0,
+      "fidelity_joints_percent": null,
+      "fidelity_materials_percent": 0.0,
+      "fidelity_shape_coverage": 1.0,
+      "fidelity_rigid_parts_coverage": 1.0,
+      "fidelity_joints_coverage": 0,
+      "fidelity_materials_coverage": 0.8333333333333334,
+      "fidelity_reference_geometry_status": "complete",
+      "formal_fidelity_status": "measured",
+      "formal_fidelity_earned": 0,
+      "formal_fidelity_eligible": 46,
+      "formal_fidelity_measured": 46,
+      "formal_fidelity_coverage": 1.0,
+      "formal_fidelity_lower_bound_percent": 0.0,
+      "formal_fidelity_upper_bound_percent": 0.0,
+      "visual_fidelity_status": "measured",
+      "visual_fidelity_earned": 0.0,
+      "visual_fidelity_eligible": 2,
+      "visual_fidelity_measured": 2,
+      "visual_fidelity_coverage": 1.0,
+      "visual_fidelity_lower_bound_percent": 0.0,
+      "visual_fidelity_upper_bound_percent": 0.0,
+      "kinematic_fidelity_status": "not_applicable",
+      "kinematic_fidelity_earned": 0,
+      "kinematic_fidelity_eligible": 0,
+      "kinematic_fidelity_measured": 0,
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+      "kinematic_fidelity_lower_bound_percent": null,
+      "kinematic_fidelity_upper_bound_percent": null,
+      "visual_appearance_percent": 0.0,
+      "visual_appearance_status": "measured",
+      "visual_appearance_earned": 0.0,
+      "visual_appearance_eligible": 2048,
+      "visual_appearance_measured": 2048,
+      "visual_appearance_coverage": 1.0,
+      "visual_appearance_lower_bound_percent": 0.0,
+      "visual_appearance_upper_bound_percent": 0.0,
+      "kinematic_reference_joint_count": 0,
+      "kinematic_candidate_joint_count": 0,
+      "kinematic_matched_joint_count": 0,
+      "kinematic_missing_joint_count": 0,
+      "kinematic_extra_joint_count": 0,
+      "kinematic_moving_joints_percent": null,
+      "kinematic_moving_joints_status": "not_applicable",
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+      "kinematic_moving_joints_eligible": 0,
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+      "kinematic_moving_joints_lower_bound_percent": null,
+      "kinematic_moving_joints_upper_bound_percent": null,
+      "kinematic_fixed_constraints_percent": null,
+      "kinematic_fixed_constraints_status": "not_applicable",
+      "kinematic_fixed_constraints_earned": 0,
+      "kinematic_fixed_constraints_eligible": 0,
+      "kinematic_fixed_constraints_measured": 0,
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+      "kinematic_fixed_constraints_lower_bound_percent": null,
+      "kinematic_fixed_constraints_upper_bound_percent": null,
+      "fidelity_shape_earned": 0.0,
+      "fidelity_shape_eligible": 1,
+      "fidelity_shape_measured": 1,
+      "fidelity_shape_status": "measured",
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+      "fidelity_rigid_parts_eligible": 1,
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+      "fidelity_rigid_parts_status": "measured",
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+      "fidelity_joints_eligible": 0,
+      "fidelity_joints_measured": 0,
+      "fidelity_joints_status": "not_applicable",
+      "fidelity_materials_earned": 0,
+      "fidelity_materials_eligible": 20480,
+      "fidelity_materials_measured": 20480,
+      "fidelity_materials_status": "measured",
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+      "fidelity_shape_recall": 0.0,
+      "fidelity_shape_samples_each_direction": 2048,
+      "fidelity_rigid_parts_geometry_percent": 0.0,
+      "fidelity_rigid_parts_structure_percent": 0.0,
+      "fidelity_rigid_parts_structure_earned": 0,
+      "fidelity_rigid_parts_structure_eligible": 4,
+      "fidelity_joints_reference_count": 0,
+      "fidelity_joints_candidate_count": 0,
+      "inference_calls_used": 64,
+      "validation_calls_used": 0,
+      "model_request_errors": 0,
+      "elapsed_seconds": 3340.137427382171,
+      "model_request_seconds": 3287.040642634034,
+      "input_tokens": 3550457,
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+      "total_tokens": 3617904,
+      "inference_cost_usd": null,
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+      "total_cost_usd": null,
+      "seed": 1064278322,
+      "scoring_policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
+      "official_conformance_passed": null,
+      "inference_cost_kind": null,
+      "usage_reconstruction": null,
+      "simready": {
+        "schema": "simready-validator-score-v1",
+        "policy_id": "NVIDIA-Robotics-Prop-4.0.0-mandatory-95-plus-5-v1",
+        "policy_sha256": "fa544262f43e2e3ebd2656a335fd8fb21438553074b0535d25a250ddfa3dae77",
+        "status": "invalid_candidate",
+        "score_percent": 0.0,
+        "score_fraction": 0.0,
+        "score_lower_bound": 0.0,
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+        "passed_count": 0,
+        "failed_count": 46,
+        "unknown_count": 0,
+        "applicable_count": 46,
+        "profile_mandatory_count": 46,
+        "profile_coverage_fraction": 1.0,
+        "completion_bonus": 0,
+        "categories": {
+          "asset_paths_and_naming": {
+            "applicable": 8,
+            "failed": 8,
+            "passed": 0,
+            "unknown": 0
+          },
+          "geometry_mesh": {
+            "applicable": 8,
+            "failed": 8,
+            "passed": 0,
+            "unknown": 0
+          },
+          "hierarchy": {
+            "applicable": 4,
+            "failed": 4,
+            "passed": 0,
+            "unknown": 0
+          },
+          "materials_textures": {
+            "applicable": 6,
+            "failed": 6,
+            "passed": 0,
+            "unknown": 0
+          },
+          "rigid_body_collision": {
+            "applicable": 10,
+            "failed": 10,
+            "passed": 0,
+            "unknown": 0
+          },
+          "semantics": {
+            "applicable": 6,
+            "failed": 6,
+            "passed": 0,
+            "unknown": 0
+          },
+          "thumbnail_metadata": {
+            "applicable": 2,
+            "failed": 2,
+            "passed": 0,
+            "unknown": 0
+          },
+          "units": {
+            "applicable": 2,
+            "failed": 2,
+            "passed": 0,
+            "unknown": 0
+          }
+        },
+        "checks": [
+          {
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runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv

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