Publish reconstruction readouts and benchmark leaderboard

README.md

@@ -2078,6 +2078,7 @@ configs:
   - split: box_cardboard_open_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/box_cardboard_open_a01.parquet
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/by_asset/box_cardboard_open_a01.parquet
   - split: bucket_utility_red_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/bucket_utility_red_a01.parquet

runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/assets/box_cardboard_open_a01/reconstruction-2/candidate/asset.usd

@@ -0,0 +1,65 @@
+#usda 1.0 (upAxis = Z) (metersPerUnit = 1.0)
+(
+    defaultPrim = "Tray"
+    doc = """Generated from Composed Stage of root layer /output/asset.usd
+"""
+)
+
+def Xform "Tray" (
+    apiSchemas = ["PhysicsRigidBodyAPI", "PhysicsMassAPI"]
+)
+{
+    float physics:mass = 9.2
+
+    def Mesh "TrayMesh" (
+        apiSchemas = ["PhysicsCollisionAPI", "PhysicsMeshCollisionAPI"]
+    )
+    {
+        int[] faceVertexIndices = [0, 1, 2, 0, 2, 3, 4, 5, 6, 4, 6, 7, 8, 9, 10, 8, 10, 11, 12, 13, 14, 12, 14, 15, 16, 17, 18, 16, 18, 19, 20, 21, 22, 20, 22, 23, 24, 25, 26, 24, 26, 27, 28, 29, 30, 28, 30, 31, 32, 33, 34, 32, 34, 35, 36, 37, 38, 36, 38, 39, 40, 41, 42, 40, 42, 43, 44, 45, 46, 44, 46, 47, 48, 49, 50, 48, 50, 51, 52, 53, 54, 52, 54, 55]
+        custom rel material:binding = </Tray/TrayMaterial>
+        normal3f[] normals = [(0, 0, -1), (0, 0, -1), (0, 0, -1), (0, 0, -1), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 1, -0), (0, 1, -0), (0, 1, -0), (0, 1, -0), (-1, -0, -0), (-1, -0, -0), (-1, -0, -0), (-1, -0, -0), (1, -0, -0), (1, -0, -0), (1, -0, -0), (1, -0, -0), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (0, 0, 1), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, -1, 0), (0, 1, -0), (0, 1, -0), (0, 1, -0), (0, 1, -0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (-1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (1, 0, 0), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1), (-0, -0, 1)]
+        uniform token physics:approximation = "convexHull"
+        bool physics:collisionEnabled = 1
+        point3f[] points = [(-0.31788975, 0.25592458, -0.1511896), (0.31788975, 0.25592458, -0.1511896), (0.31788975, -0.25592458, -0.1511896), (-0.31788975, -0.25592458, -0.1511896), (-0.31788975, -0.25592458, -0.1511896), (0.31788975, -0.25592458, -0.1511896), (0.31788975, -0.25592458, 0.1511896), (-0.31788975, -0.25592458, 0.1511896), (0.31788975, 0.25592458, -0.1511896), (-0.31788975, 0.25592458, -0.1511896), (-0.31788975, 0.25592458, 0.1511896), (0.31788975, 0.25592458, 0.1511896), (-0.31788975, -0.25592458, -0.1511896), (-0.31788975, -0.25592458, 0.1511896), (-0.31788975, 0.25592458, 0.1511896), (-0.31788975, 0.25592458, -0.1511896), (0.31788975, 0.25592458, -0.1511896), (0.31788975, 0.25592458, 0.1511896), (0.31788975, -0.25592458, 0.1511896), (0.31788975, -0.25592458, -0.1511896), (-0.31788975, -0.25592458, 0.1511896), (0.31788975, -0.25592458, 0.1511896), (0.31788975, -0.24092458, 0.1511896), (-0.31788975, -0.24092458, 0.1511896), (-0.31788975, 0.25592458, 0.1511896), (-0.31788975, 0.24092458, 0.1511896), (0.31788975, 0.24092458, 0.1511896), (0.31788975, 0.25592458, 0.1511896), (-0.31788975, -0.24092458, 0.1511896), (-0.30288976, -0.24092458, 0.1511896), (-0.30288976, 0.24092458, 0.1511896), (-0.31788975, 0.24092458, 0.1511896), (0.30288976, 0.24092458, 0.1511896), (0.30288976, -0.24092458, 0.1511896), (0.31788975, -0.24092458, 0.1511896), (0.31788975, 0.24092458, 0.1511896), (-0.30288976, -0.24092458, -0.1361896), (0.30288976, -0.24092458, -0.1361896), (0.30288976, -0.24092458, 0.1511896), (-0.30288976, -0.24092458, 0.1511896), (0.30288976, 0.24092458, -0.1361896), (-0.30288976, 0.24092458, -0.1361896), (-0.30288976, 0.24092458, 0.1511896), (0.30288976, 0.24092458, 0.1511896), (-0.30288976, 0.24092458, -0.1361896), (-0.30288976, -0.24092458, -0.1361896), (-0.30288976, -0.24092458, 0.1511896), (-0.30288976, 0.24092458, 0.1511896), (0.30288976, -0.24092458, -0.1361896), (0.30288976, 0.24092458, -0.1361896), (0.30288976, 0.24092458, 0.1511896), (0.30288976, -0.24092458, 0.1511896), (-0.30288976, 0.24092458, -0.1361896), (-0.30288976, -0.24092458, -0.1361896), (0.30288976, -0.24092458, -0.1361896), (0.30288976, 0.24092458, -0.1361896)]
+        point float2[] primvars:uv = [ (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (0.5000000, 1.0000000), (0.0000000, 0.0000000), (0.5000000, 0.0000000), (0.5000000, 1.0000000), (0.0000000, 1.0000000), (0.0000000, 0.0000000), (0.5000000, 0.0000000), (0.5000000, 1.0000000), (0.0000000, 1.0000000), (0.0000000, 0.0000000), (0.0000000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.0000000, 0.0000000), (0.0000000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (1.0000000, 1.0000000), (1.0000000, 0.0000000), (0.9500000, 0.0000000), (1.0000000, 0.0000000), (1.0000000, 1.0000000), (0.9500000, 1.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (1.0000000, 1.0000000), (1.0000000, 0.0000000), (0.9500000, 0.0000000), (1.0000000, 0.0000000), (1.0000000, 1.0000000), (0.9500000, 1.0000000), (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.9500000, 0.0000000), (0.9500000, 1.0000000), (0.5000000, 1.0000000), (0.5000000, 0.0000000), (0.5000000, 1.0000000), (0.9500000, 1.0000000), (0.9500000, 0.0000000) ] (
+            interpolation = "faceVtx"
+        )
+    }
+
+    def Material "TrayMaterial"
+    {
+        token outputs:surface.connect = </Tray/TrayMaterial/PreviewSurface.outputs:surface>
+
+        def Shader "TexColor"
+        {
+            uniform token info:id = "UsdUVTexture"
+            asset inputs:file = @/output/textures/tray_color.png@
+            color3f outputs:rgb
+        }
+
+        def Shader "TexRough"
+        {
+            uniform token info:id = "UsdUVTexture"
+            asset inputs:file = @/output/textures/tray_rough.png@
+            float outputs:r
+        }
+
+        def Shader "TexNormal"
+        {
+            uniform token info:id = "UsdUVTexture"
+            asset inputs:file = @/output/textures/tray_normal.png@
+            color3f outputs:rgb
+        }
+
+        def Shader "PreviewSurface"
+        {
+            uniform token info:id = "UsdPreviewSurface"
+            color3f inputs:baseColor.connect = </Tray/TrayMaterial/TexColor.outputs:rgb>
+            float inputs:metallic = 0
+            float3 inputs:normal.connect = </Tray/TrayMaterial/TexNormal.outputs:rgb>
+            float inputs:roughness.connect = </Tray/TrayMaterial/TexRough.outputs:r>
+            token outputs:surface
+        }
+    }
+}
+

runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/assets/box_cardboard_open_a01/reconstruction-2/candidate/manifest.json

@@ -0,0 +1,29 @@
+{
+  "copied_independently": true,
+  "entrypoint": "asset.usd",
+  "files": [
+    {
+      "relative_path": "asset.usd",
+      "sha256": "967db1bd57ace87f8c5c221738c41994388990192eac7b847e1034d100dd2971",
+      "size_bytes": 6409
+    },
+    {
+      "relative_path": "textures/tray_color.png",
+      "sha256": "4965745263cdd1c9178c43a79cd2dbf8b052ae1cdd2694175152a58aa78172c1",
+      "size_bytes": 281244
+    },
+    {
+      "relative_path": "textures/tray_normal.png",
+      "sha256": "e513ab24401cf7c131f4a650fd0d0798b914ad9b9741e6fd387d44c66c982361",
+      "size_bytes": 30554
+    },
+    {
+      "relative_path": "textures/tray_rough.png",
+      "sha256": "77667bfdf7ce0de010ed8dce930d69c55399a12b14ab6c7827ef242c90702032",
+      "size_bytes": 62204
+    }
+  ],
+  "schema": "simready-bench-submission-v1",
+  "size_bytes": 380411,
+  "snapshot_sha256": "b5a375cc04d8eaddfad524a76c7c42e89e37f82fc139205679a11747170ab885"
+}

runs/nv25-qwen38-27b-xhigh-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>3 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_prepared_croissant_a01</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>1721.08</td><td>1641.38</td><td>2608819</td><td>42136</td><td>2650955</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr><tr><td>food_prepared_croissant_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>2</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>2450.91</td><td>2373.53</td><td>Not measured</td><td>Not measured</td><td>Not measured</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>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>1735.64</td><td>1688.14</td><td>2510638</td><td>43298</td><td>2553936</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><section id="attempt-1"><h2>food_prepared_croissant_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>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>1721.08</td><td>1641.38</td><td>2608819</td><td>42136</td><td>2650955</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>2.61</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_prepared_croissant_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>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="assets/food_prepared_croissant_a01/reconstruction-1/candidate/asset.usd">Generated USD</a> | <a href="assets/food_prepared_croissant_a01/reconstruction-1/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-2"><h2>food_prepared_croissant_a01 / Qwen/Qwen3.8-27B:deepinfra / repetition 2</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>2</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>2450.91</td><td>2373.53</td><td>Not measured</td><td>Not measured</td><td>Not measured</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>2.61</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_prepared_croissant_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>0/1</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_prepared_croissant_a01/reconstruction-2/candidate/asset.usd">Generated USD</a> | <a href="assets/food_prepared_croissant_a01/reconstruction-2/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-2/nvidia-validator.json">NVIDIA validation findings</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-2/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-3"><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>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>1735.64</td><td>1688.14</td><td>2510638</td><td>43298</td><td>2553936</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>3.02</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>0/1</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>4 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>box_cardboard_open_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>2</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% (0/14336)</td><td>64</td><td>0</td><td>0</td><td>2435.65</td><td>2252.05</td><td>2978912</td><td>52106</td><td>3031018</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr><tr><td>food_prepared_croissant_a01</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>1721.08</td><td>1641.38</td><td>2608819</td><td>42136</td><td>2650955</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr><tr><td>food_prepared_croissant_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>2</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>2450.91</td><td>2373.53</td><td>Not measured</td><td>Not measured</td><td>Not measured</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>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>1735.64</td><td>1688.14</td><td>2510638</td><td>43298</td><td>2553936</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><section id="attempt-1"><h2>box_cardboard_open_a01 / Qwen/Qwen3.8-27B:deepinfra / repetition 2</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>2</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% (0/14336)</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>2435.65</td><td>2252.05</td><td>2978912</td><td>52106</td><td>3031018</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>0/14336</td><td>14336</td><td>14336</td><td>58.33</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>9.7</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_box_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>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:opacity</td><td>0/2048</td><td>0</td></tr></tbody></table></div><p class="artefacts"><a href="assets/box_cardboard_open_a01/reconstruction-2/candidate/asset.usd">Generated USD</a> | <a href="assets/box_cardboard_open_a01/reconstruction-2/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/box_cardboard_open_a01/reconstruction-2/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-2"><h2>food_prepared_croissant_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>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>1721.08</td><td>1641.38</td><td>2608819</td><td>42136</td><td>2650955</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>2.61</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_prepared_croissant_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>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="assets/food_prepared_croissant_a01/reconstruction-1/candidate/asset.usd">Generated USD</a> | <a href="assets/food_prepared_croissant_a01/reconstruction-1/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-1/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-3"><h2>food_prepared_croissant_a01 / Qwen/Qwen3.8-27B:deepinfra / repetition 2</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>2</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>2450.91</td><td>2373.53</td><td>Not measured</td><td>Not measured</td><td>Not measured</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>2.61</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_prepared_croissant_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>0/1</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_prepared_croissant_a01/reconstruction-2/candidate/asset.usd">Generated USD</a> | <a href="assets/food_prepared_croissant_a01/reconstruction-2/candidate/manifest.json">Asset package manifest</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-2/nvidia-validator.json">NVIDIA validation findings</a> | <a href="evidence/food_prepared_croissant_a01/reconstruction-2/harbor-trajectory-4.json">Harbor trajectory 1</a></p></section><section id="attempt-4"><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>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>1735.64</td><td>1688.14</td><td>2510638</td><td>43298</td><td>2553936</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>3.02</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>0/1</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-xhigh-pi-none-turn64-20261021/results.json

@@ -1,7 +1,7 @@
 {
   "schema": "simready-bench-portable-report-v1",
   "planned_conditions": 100,
-  "completed_conditions": 3,
+  "completed_conditions": 4,
   "partial": true,
   "settings": {
     "reference_assets": [
@@ -96,6 +96,1889 @@
     }
   },
   "results": [
+    {
+      "condition_id": "condition-bf7d48bdde34ac9b89923e9ca2bff27f5e38460080eb7aa29147643bc5986f58",
+      "asset_id": "box_cardboard_open_a01",
+      "requested_model": "Qwen/Qwen3.8-27B:deepinfra",
+      "harness_id": "pi",
+      "skill_set_id": "none",
+      "repetition": 1,
+      "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": 0.5833333333333334,
+      "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,
+      "kinematic_fidelity_coverage": 0,
+      "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,
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       "condition_id": "condition-340eb673d4cbc4f10bfc2822a15e3aa1e7afbe84e096605fa44db2fb5acdbeae",
       "asset_id": "food_prepared_croissant_a01",

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

@@ -1,4 +1,5 @@
 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-bf7d48bdde34ac9b89923e9ca2bff27f5e38460080eb7aa29147643bc5986f58,box_cardboard_open_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,2,completed,0.0,0.0,,0.0,0,46,46,0,0.0,0.0,0,,0,0,51,51,0,0.0,0.0,100.0,0.0,0.0,,0.0,1.0,1.0,0,0.5833333333333334,complete,measured,0,46,46,1.0,0.0,0.0,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,0,14336,14336,measured,0.0,0.0,2048,0.0,0.0,0,4,0,0,64,0,0,2435.652080821106,2252.051037824014,2978912,52106,3031018,,,
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 condition-0588e8089b0f3eb4589c03ea786664d39d1cf94c6488dd437a716e2157f713d2,food_prepared_croissant_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,2,completed,0.0,0.0,,0.0,0,46,46,0,0.0,0.0,0,,0,0,51,51,0,0.0,0.0,100.0,0.0,0.0,,0.0,1.0,1.0,0,0.8333333333333334,complete,measured,0,46,46,1.0,0.0,0.0,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,0.0,0.0,2048,0.0,25.0,1,4,0,0,64,0,0,2450.9079948139843,2373.5307014739374,,,,,,
 condition-de32f057d28fc53b29e0387dd49ea30697ca431edc825bb97ba94141452d49e0,food_produce_banana_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,1,completed,0.0,0.0,,0.0,0,46,46,0,0.0,0.0,0,,0,0,51,51,0,0.0,0.0,100.0,0.0,0.0,,0.0,1.0,1.0,0,0.8333333333333334,complete,measured,0,46,46,1.0,0.0,0.0,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,0.0,0.0,2048,0.0,25.0,1,4,0,0,64,0,0,1735.637232640991,1688.1365338963224,2510638,43298,2553936,,,

viewer-index.json

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