Publish reconstruction readouts and benchmark leaderboard

README.md

@@ -2182,6 +2182,7 @@ configs:
   - split: container_bottle_glass_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/container_bottle_glass_a01.parquet
+    - viewer/nv25-qwen38-27b-medium-pi-none-turn64-20261021/by_asset/container_bottle_glass_a01.parquet
   - split: enginecomponent_camshaft_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/enginecomponent_camshaft_a01.parquet
@@ -2194,7 +2195,7 @@ configs:
   - split: food_produce_banana_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_banana_a01.parquet
-    - viewer/nv25-qwen38-27b-medium-pi-none-turn64-20261021/scores.parquet
+    - viewer/nv25-qwen38-27b-medium-pi-none-turn64-20261021/by_asset/food_produce_banana_a01.parquet
   - split: food_produce_broccoli_b01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_broccoli_b01.parquet

runs/nv25-qwen38-27b-medium-pi-none-turn64-20261021/assets/container_bottle_glass_a01/reconstruction-1/candidate/manifest.json

@@ -0,0 +1,14 @@
+{
+  "copied_independently": true,
+  "entrypoint": "asset.usd",
+  "files": [
+    {
+      "relative_path": "asset.usd",
+      "sha256": "684c348810d11dc7a7c63b84c4cf3aba95fb5a6685538953cffe985f5e84dbef",
+      "size_bytes": 55222
+    }
+  ],
+  "schema": "simready-bench-submission-v1",
+  "size_bytes": 55222,
+  "snapshot_sha256": "5f8b396720168f07d550b92f9d6ff292655ce478abacc16b8c8b6d6818ca17bf"
+}

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

@@ -1 +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_banana_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>1</td><td>completed</td><td>82.61% (40/46)</td><td>0% (0/2)</td><td>N/A</td><td>78.43% (40/51)</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>738.21</td><td>698.78</td><td>1152527</td><td>16965</td><td>1169492</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><section id="attempt-1"><h2>food_produce_banana_a01 / 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>82.61% (40/46)</td><td>0% (0/2)</td><td>N/A</td><td>78.43% (40/51)</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>738.21</td><td>698.78</td><td>1152527</td><td>16965</td><td>1169492</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><p>40 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>3.02</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_banana_a01_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>1/1</td><td>1/1</td></tr><tr><td>joint_inventory_count</td><td>1/1</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="assets/food_produce_banana_a01/reconstruction-1/candidate/asset.usd">Generated USD</a> | <a href="assets/food_produce_banana_a01/reconstruction-1/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_produce_banana_a01/reconstruction-1/nvidia-validator.json">NVIDIA validation findings</a> | <a href="evidence/food_produce_banana_a01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section></html>
+<!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>2 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>container_bottle_glass_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>1</td><td>completed</td><td>80.54% (39/46)</td><td>0% (0/2)</td><td>N/A</td><td>66.67% (34/51)</td><td>0% (0/1)</td><td>0% (0/1)</td><td>N/A</td><td>0% (0/16384)</td><td>64</td><td>1</td><td>0</td><td>945.33</td><td>906.41</td><td>1487863</td><td>21911</td><td>1509774</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr><tr><td>food_produce_banana_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>1</td><td>completed</td><td>82.61% (40/46)</td><td>0% (0/2)</td><td>N/A</td><td>78.43% (40/51)</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>738.21</td><td>698.78</td><td>1152527</td><td>16965</td><td>1169492</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><section id="attempt-1"><h2>container_bottle_glass_a01 / 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>80.54% (39/46)</td><td>0% (0/2)</td><td>N/A</td><td>66.67% (34/51)</td><td>0% (0/1)</td><td>0% (0/1)</td><td>N/A</td><td>0% (0/16384)</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>1</td><td>0</td><td>945.33</td><td>906.41</td><td>1487863</td><td>21911</td><td>1509774</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><p>39 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>0/16384</td><td>16384</td><td>16384</td><td>66.67</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>4.51</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/bottle_01_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>1/1</td><td>1/1</td></tr><tr><td>joint_inventory_count</td><td>1/1</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:metallic</td><td>0/2048</td><td>0</td></tr><tr><td>visual:opacity</td><td>0/2048</td><td>0</td></tr></tbody></table></div><p class="artefacts"><a href="assets/container_bottle_glass_a01/reconstruction-1/candidate/asset.usd">Generated USD</a> | <a href="assets/container_bottle_glass_a01/reconstruction-1/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/container_bottle_glass_a01/reconstruction-1/nvidia-validator.json">NVIDIA validation findings</a> | <a href="evidence/container_bottle_glass_a01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-2"><h2>food_produce_banana_a01 / 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>82.61% (40/46)</td><td>0% (0/2)</td><td>N/A</td><td>78.43% (40/51)</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>738.21</td><td>698.78</td><td>1152527</td><td>16965</td><td>1169492</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><p>40 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>3.02</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_banana_a01_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>1/1</td><td>1/1</td></tr><tr><td>joint_inventory_count</td><td>1/1</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="assets/food_produce_banana_a01/reconstruction-1/candidate/asset.usd">Generated USD</a> | <a href="assets/food_produce_banana_a01/reconstruction-1/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_produce_banana_a01/reconstruction-1/nvidia-validator.json">NVIDIA validation findings</a> | <a href="evidence/food_produce_banana_a01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section></html>

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

@@ -1,7 +1,7 @@
 {
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   "planned_conditions": 100,
-  "completed_conditions": 1,
+  "completed_conditions": 2,
   "partial": true,
   "settings": {
     "reference_assets": [
@@ -96,6 +96,1893 @@
     }
   },
   "results": [
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+        "source_entrypoint": "asset.usd",
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     {
       "condition_id": "condition-d35579adccdd9be0db995225fe9fe1d1fdf955b58d5847ceff846b8084cd9083",
       "asset_id": "food_produce_banana_a01",

runs/nv25-qwen38-27b-medium-pi-none-turn64-20261021/scores.csv

@@ -1,2 +1,3 @@
 condition_id,asset_id,requested_model,harness_id,skill_set_id,repetition,status,formal_fidelity_percent,visual_fidelity_percent,kinematic_fidelity_percent,simready_reward,mandatory_passed,mandatory_total,mandatory_failed,mandatory_unknown,mandatory_lower_bound_percent,mandatory_upper_bound_percent,completion_bonus,optional_score_percent,optional_passed,optional_failed,optional_unknown,optional_total,optional_measured,optional_coverage,optional_lower_bound_percent,optional_upper_bound_percent,fidelity_shape_percent,fidelity_rigid_parts_percent,fidelity_joints_percent,fidelity_materials_percent,fidelity_shape_coverage,fidelity_rigid_parts_coverage,fidelity_joints_coverage,fidelity_materials_coverage,fidelity_reference_geometry_status,formal_fidelity_status,formal_fidelity_earned,formal_fidelity_eligible,formal_fidelity_measured,formal_fidelity_coverage,formal_fidelity_lower_bound_percent,formal_fidelity_upper_bound_percent,visual_fidelity_status,visual_fidelity_earned,visual_fidelity_eligible,visual_fidelity_measured,visual_fidelity_coverage,visual_fidelity_lower_bound_percent,visual_fidelity_upper_bound_percent,kinematic_fidelity_status,kinematic_fidelity_earned,kinematic_fidelity_eligible,kinematic_fidelity_measured,kinematic_fidelity_coverage,kinematic_fidelity_lower_bound_percent,kinematic_fidelity_upper_bound_percent,visual_appearance_percent,visual_appearance_status,visual_appearance_earned,visual_appearance_eligible,visual_appearance_measured,visual_appearance_coverage,visual_appearance_lower_bound_percent,visual_appearance_upper_bound_percent,kinematic_reference_joint_count,kinematic_candidate_joint_count,kinematic_matched_joint_count,kinematic_missing_joint_count,kinematic_extra_joint_count,kinematic_moving_joints_percent,kinematic_moving_joints_status,kinematic_moving_joints_earned,kinematic_moving_joints_eligible,kinematic_moving_joints_measured,kinematic_moving_joints_coverage,kinematic_moving_joints_lower_bound_percent,kinematic_moving_joints_upper_bound_percent,kinematic_fixed_constraints_percent,kinematic_fixed_constraints_status,kinematic_fixed_constraints_earned,kinematic_fixed_constraints_eligible,kinematic_fixed_constraints_measured,kinematic_fixed_constraints_coverage,kinematic_fixed_constraints_lower_bound_percent,kinematic_fixed_constraints_upper_bound_percent,fidelity_shape_earned,fidelity_shape_eligible,fidelity_shape_measured,fidelity_shape_status,fidelity_rigid_parts_earned,fidelity_rigid_parts_eligible,fidelity_rigid_parts_measured,fidelity_rigid_parts_status,fidelity_joints_earned,fidelity_joints_eligible,fidelity_joints_measured,fidelity_joints_status,fidelity_materials_earned,fidelity_materials_eligible,fidelity_materials_measured,fidelity_materials_status,fidelity_shape_precision,fidelity_shape_recall,fidelity_shape_samples_each_direction,fidelity_rigid_parts_geometry_percent,fidelity_rigid_parts_structure_percent,fidelity_rigid_parts_structure_earned,fidelity_rigid_parts_structure_eligible,fidelity_joints_reference_count,fidelity_joints_candidate_count,inference_calls_used,validation_calls_used,model_request_errors,elapsed_seconds,model_request_seconds,input_tokens,output_tokens,total_tokens,inference_cost_usd,compute_cost_usd,total_cost_usd
+condition-f0237999d0f3869061985cad42d0fc7d8dca5cde2bc122b7ad38f2a943ce35f1,container_bottle_glass_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,1,completed,80.54347826086956,0.0,,80.54347826086956,39,46,7,0,80.54347826086956,80.54347826086956,0,66.66666666666667,34,17,0,51,51,1.0,66.66666666666667,66.66666666666667,0.0,0.0,,0.0,1.0,1.0,0,0.6666666666666666,complete,measured,39,46,46,1.0,80.54347826086956,80.54347826086956,measured,0.0,2,2,1.0,0.0,0.0,not_applicable,0,0,0,0,,,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.0,1,1,measured,0.0,1,1,measured,0,0,0,not_applicable,0,16384,16384,measured,0.0,0.0,2048,0.0,50.0,2,4,0,0,64,1,0,945.3274005204439,906.4118125811219,1487863,21911,1509774,,,
 condition-d35579adccdd9be0db995225fe9fe1d1fdf955b58d5847ceff846b8084cd9083,food_produce_banana_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,1,completed,82.6086956521739,0.0,,82.6086956521739,40,46,6,0,82.6086956521739,82.6086956521739,0,78.43137254901961,40,11,0,51,51,1.0,78.43137254901961,78.43137254901961,0.0,0.0,,0.0,1.0,1.0,0,0.8333333333333334,complete,measured,40,46,46,1.0,82.6086956521739,82.6086956521739,measured,0.0,2,2,1.0,0.0,0.0,not_applicable,0,0,0,0,,,0.0,measured,0.0,2048,2048,1.0,0.0,0.0,0,0,0,0,0,,not_applicable,0,0,0,0,,,,not_applicable,0,0,0,0,,,0.0,1,1,measured,0.0,1,1,measured,0,0,0,not_applicable,0,20480,20480,measured,0.0,0.0,2048,0.0,50.0,2,4,0,0,64,0,0,738.2069523409009,698.7784188082442,1152527,16965,1169492,,,

viewer-index.json

@@ -186,9 +186,13 @@
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           }
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