Publish reconstruction readouts and benchmark leaderboard

README.md

@@ -22,6 +22,7 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
   features:
   - name: reference_image
     dtype: image
@@ -530,6 +531,9 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+  - split: qwen_qwen3_8_27b_deepinfra
+    path:
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_harness
   features:
   - name: reference_image
@@ -787,6 +791,7 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_skills
   features:
   - name: reference_image
@@ -1044,6 +1049,7 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_reference_set
   features:
   - name: reference_image
@@ -1301,6 +1307,7 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_protocol
   features:
   - name: reference_image
@@ -1558,6 +1565,7 @@ configs:
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_reasoning
   features:
   - name: reference_image
@@ -1817,6 +1825,9 @@ configs:
   - split: unknown
     path:
     - viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv
+  - split: xhigh
+    path:
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
 - config_name: by_asset
   features:
   - name: reference_image
@@ -2101,6 +2112,7 @@ configs:
   - split: food_prepared_croissant_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_prepared_croissant_a01.csv
+    - viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv
   - split: food_produce_banana_a01
     path:
     - viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_banana_a01.csv

leaderboard.json

@@ -1,394 +1,394 @@
-{
-  "schema": "simreadybench-leaderboard/v1",
-  "entries": [
-    {
-      "reference_set": "NV25",
-      "reference_revision": "f4860aa0c75607adb50a78bf96e77510bffc040f",
-      "benchmark_freeze": {
-        "id": "nvidia-25",
-        "version": "1"
-      },
-      "reference_count": 25,
-      "repetitions": 4,
-      "completed_attempts": 100,
-      "model": "gpt-6.1-sol",
-      "harness": "pi",
-      "reasoning_effort": "high",
-      "authoring_protocol": "authoring-64-native-output-v1",
-      "inference_requests_per_attempt": 64,
-      "skills": [],
-      "compliance": 100.0,
-      "usage": {
-        "inference_calls_used": {
-          "mean": 36.02,
-          "measured_attempts": 100,
-          "total_attempts": 100
-        },
-        "validation_calls_used": {
-          "mean": 3.01,
-          "measured_attempts": 100,
-          "total_attempts": 100
-        },
-        "model_request_errors": {
-          "mean": 0,
-          "measured_attempts": 100,
-          "total_attempts": 100
-        },
-        "elapsed_seconds": {
-          "mean": 618.5340745433548,
-          "measured_attempts": 100,
-          "total_attempts": 100
-        },
-        "model_request_seconds": {
-          "mean": 523.1639625989552,
-          "measured_attempts": 100,
-          "total_attempts": 100
-        },
-        "input_tokens": {
-          "mean": null,
-          "measured_attempts": 97,
-          "total_attempts": 100
-        },
-        "output_tokens": {
-          "mean": null,
-          "measured_attempts": 97,
-          "total_attempts": 100
-        },
-        "total_tokens": {
-          "mean": null,
-          "measured_attempts": 97,
-          "total_attempts": 100
-        },
-        "inference_cost_usd": {
-          "mean": null,
-          "measured_attempts": 0,
-          "total_attempts": 100
-        },
-        "compute_cost_usd": {
-          "mean": null,
-          "measured_attempts": 0,
-          "total_attempts": 100
-        },
-        "total_cost_usd": {
-          "mean": null,
-          "measured_attempts": 0,
-          "total_attempts": 100
-        }
-      },
-      "mandatory": {
-        "score": 100.0,
-        "passed": 4600,
-        "failed": 0,
-        "unknown": 0,
-        "eligible": 4600,
-        "measured": 4600,
-        "coverage": 100.0,
-        "lower_bound": 100.0,
-        "upper_bound": 100.0,
-        "measured_attempts": 100,
-        "unknown_attempts": 0,
-        "reported_attempts": 100,
-        "completion_bonus": 5
-      },
-      "optional": {
-        "score": 73.7843137254902,
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-        "failed": 1337,
-        "unknown": 0,
-        "eligible": 5100,
-        "measured": 5100,
-        "coverage": 100.0,
-        "lower_bound": 73.7843137254902,
-        "upper_bound": 73.7843137254902,
-        "measured_attempts": 100,
-        "unknown_attempts": 0,
-        "reported_attempts": 100,
-        "confidence_interval": {
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-          "lower": 72.96078431372548,
-          "upper": 74.56862745098039,
-          "method": "asset_cluster_bootstrap_percentile",
-          "resamples": 10000,
-          "seed": 20261020,
-          "asset_count": 25
-        },
-        "eligible_assets": 25
-      },
-      "fidelity": {
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-          "status": "measured",
-          "earned": 75.53614146601535,
-          "eligible": 100,
-          "measured": 100,
-          "coverage": 100.0,
-          "measurement_coverage": 100.0,
-          "eligible_attempts": 100,
-          "measured_attempts": 100,
-          "not_applicable_attempts": 0,
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-          "unknown_attempts": 0,
-          "lower_bound": 75.53614146601535,
-          "upper_bound": 75.53614146601535
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-        "rigid_parts": {
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-          "status": "measured",
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-          "lower_bound": 59.5209952816981,
-          "upper_bound": 59.5209952816981
-        },
-        "joints": {
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-          "status": "measured",
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-          "eligible": 1288,
-          "measured": 1288,
-          "coverage": 100.0,
-          "measurement_coverage": 100.0,
-          "eligible_attempts": 40,
-          "measured_attempts": 40,
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-          "upper_bound": 53.907993286084135
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-          "measurement_coverage": 100.0,
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-          "measured_attempts": 55,
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-      },
-      "profile": {
-        "id": "Robotics-Prop",
-        "version": "4.0.0"
-      },
-      "results_url": "https://huggingface.co/datasets/hcltech-robotics/simreadybench/blob/main/runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/report.html",
-      "efficiency": {
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-      "success": {
-        "mandatory_pass_per_attempt": {
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-          "passed": 100,
-          "measured": 100,
-          "total": 100
-        },
-        "mandatory_pass_within_four": {
-          "percent": 100.0,
-          "passed": 25,
-          "measured": 25,
-          "total": 25
-        }
-      }
-    }
-  ]
-}
+{
+  "schema": "simreadybench-leaderboard/v1",
+  "entries": [
+    {
+      "reference_set": "NV25",
+      "reference_revision": "f4860aa0c75607adb50a78bf96e77510bffc040f",
+      "benchmark_freeze": {
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+      "skills": [],
+      "compliance": 100.0,
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+        "total_tokens": {
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+        "inference_cost_usd": {
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+          "lower_bound": 59.5209952816981,
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+      "composite_scores": {
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+      "efficiency": {
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+          "passed": 25,
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+          "total": 25
+        }
+      }
+    }
+  ]
+}

runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/assets/food_prepared_croissant_a01/reconstruction-2/candidate/manifest.json

@@ -0,0 +1,24 @@
+{
+  "copied_independently": true,
+  "entrypoint": "asset.usd",
+  "files": [
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+      "relative_path": "asset.usd",
+      "sha256": "550542f0390d12e0b4a47b37394e41c821de35624fc54a0fc19c1c7930b23906",
+      "size_bytes": 839343
+    },
+    {
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+      "sha256": "e2b0218e4e8e4532e0c709831228ab6a8ba974c87c2dc65bc5f2765fd38c2dc4",
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+    {
+      "relative_path": "textures/roughness.png",
+      "sha256": "c9fb11ff64711cba51885734dd6511098078ea535cf5a2d97362b62da88675f3",
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+  "schema": "simready-bench-submission-v1",
+  "size_bytes": 1308518,
+  "snapshot_sha256": "0a995f260c1bfe16bbfc4e40e17fb7767172416b814c01acf53f82ec27fd6762"
+}

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_prepared_croissant_a01</td><td>Qwen/Qwen3.8-27B:deepinfra</td><td>pi</td><td>none</td><td>2</td><td>completed</td><td>76.41% (37/46)</td><td>0% (0/2)</td><td>N/A</td><td>76.47% (39/51)</td><td>0% (0/1)</td><td>0% (0/1)</td><td>N/A</td><td>0% (0/20480)</td><td>64</td><td>1</td><td>0</td><td>1753.19</td><td>1685.8</td><td>2691173</td><td>43577</td><td>2734750</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 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>76.41% (37/46)</td><td>0% (0/2)</td><td>N/A</td><td>76.47% (39/51)</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>1</td><td>0</td><td>1753.19</td><td>1685.8</td><td>2691173</td><td>43577</td><td>2734750</td><td>Not measured</td><td>Not measured</td><td>Not measured</td></tr></tbody></table></div><p>37 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>28.88</td><td>56.32</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>/World/Croissant</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>1/1</td><td>1/1</td></tr><tr><td>body_kinematic</td><td>1/1</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><h3>Matched captures</h3><div class="images"><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/reference-front-3.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/reference-front-3.png" alt="food_prepared_croissant_a01: Reference: front"></a><figcaption>Reference: front | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-front-6.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-front-6.png" alt="food_prepared_croissant_a01: Reconstruction: front"></a><figcaption>Reconstruction: front | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/reference-isometric-2.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/reference-isometric-2.png" alt="food_prepared_croissant_a01: Reference: isometric"></a><figcaption>Reference: isometric | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-isometric-5.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-isometric-5.png" alt="food_prepared_croissant_a01: Reconstruction: isometric"></a><figcaption>Reconstruction: isometric | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/matched-reference-reconstruction-contact-sheet-1.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/matched-reference-reconstruction-contact-sheet-1.png" alt="food_prepared_croissant_a01: matched reference: reconstruction contact sheet"></a><figcaption>matched reference: reconstruction contact sheet | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/reference-side-4.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/reference-side-4.png" alt="food_prepared_croissant_a01: Reference: side"></a><figcaption>Reference: side | pi | none | repetition 2</figcaption></figure><figure><a href="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-side-7.png"><img loading="lazy" src="evidence/food_prepared_croissant_a01/reconstruction-2/candidate-side-7.png" alt="food_prepared_croissant_a01: Reconstruction: side"></a><figcaption>Reconstruction: side | pi | none | repetition 2</figcaption></figure></div></section></html>

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

@@ -0,0 +1,2245 @@
+{
+  "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-0588e8089b0f3eb4589c03ea786664d39d1cf94c6488dd437a716e2157f713d2",
+      "asset_id": "food_prepared_croissant_a01",
+      "requested_model": "Qwen/Qwen3.8-27B:deepinfra",
+      "harness_id": "pi",
+      "skill_set_id": "none",
+      "repetition": 1,
+      "status": "completed",
+      "formal_fidelity_percent": 76.41304347826087,
+      "visual_fidelity_percent": 0.0,
+      "kinematic_fidelity_percent": null,
+      "simready_reward": 76.41304347826087,
+      "mandatory_passed": 37,
+      "mandatory_total": 46,
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+}

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

@@ -0,0 +1,2 @@
+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-0588e8089b0f3eb4589c03ea786664d39d1cf94c6488dd437a716e2157f713d2,food_prepared_croissant_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,2,completed,76.41304347826087,0.0,,76.41304347826087,37,46,9,0,76.41304347826087,76.41304347826087,0,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,0.0,0.0,,0.0,1.0,1.0,0,0.8333333333333334,complete,measured,37,46,46,1.0,76.41304347826087,76.41304347826087,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,0.0,0.0,2048,0.0,100.0,4,4,0,0,64,1,0,1753.1934576146305,1685.796261843294,2691173,43577,2734750,,,

viewer-index.json

@@ -1,385 +1,435 @@
-{
-  "schema": "simreadybench-viewer-index/v2",
-  "runs": {
-    "fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020": {
-      "scores": "runs/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv",
-      "viewer_scores": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv",
-      "groups": {
-        "by_model": [
-          {
-            "split": "gpt_6_1_sol",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_harness": [
-          {
-            "split": "pi",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_skills": [
-          {
-            "split": "none",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_reference_set": [
-          {
-            "split": "nv25",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_protocol": [
-          {
-            "split": "authoring_64_native_output_v1",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_reasoning": [
-          {
-            "split": "unknown",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_asset": [
-          {
-            "split": "accessory_eyeglasses_a01",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/accessory_eyeglasses_a01.csv"
-          },
-          {
-            "split": "box_cardboard_open_a01",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/box_cardboard_open_a01.csv"
-          },
-          {
-            "split": "bucket_utility_red_a01",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/bucket_utility_red_a01.csv"
-          },
-          {
-            "split": "chair_office_amf_black_a01",
-            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/chair_office_amf_black_a01.csv"
-          }
-        ]
-      }
-    },
-    "nv25-gpt-6.1-sol-high-pi-none-turn64-20261020": {
-      "scores": "runs/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv",
-      "viewer_scores": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv",
-      "groups": {
-        "by_model": [
-          {
-            "split": "gpt_6_1_sol",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_harness": [
-          {
-            "split": "pi",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_skills": [
-          {
-            "split": "none",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_reference_set": [
-          {
-            "split": "nv25",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_protocol": [
-          {
-            "split": "authoring_64_native_output_v1",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_reasoning": [
-          {
-            "split": "high",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/scores.csv"
-          }
-        ],
-        "by_asset": [
-          {
-            "split": "accessory_eyeglasses_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/accessory_eyeglasses_a01.csv"
-          },
-          {
-            "split": "box_cardboard_open_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/box_cardboard_open_a01.csv"
-          },
-          {
-            "split": "bucket_utility_red_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/bucket_utility_red_a01.csv"
-          },
-          {
-            "split": "chair_office_amf_black_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/chair_office_amf_black_a01.csv"
-          },
-          {
-            "split": "cleaning_cloth_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/cleaning_cloth_a01.csv"
-          },
-          {
-            "split": "container_bottle_glass_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/container_bottle_glass_a01.csv"
-          },
-          {
-            "split": "enginecomponent_camshaft_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/enginecomponent_camshaft_a01.csv"
-          },
-          {
-            "split": "food_beverage_coffeecup_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_beverage_coffeecup_a01.csv"
-          },
-          {
-            "split": "food_prepared_croissant_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_prepared_croissant_a01.csv"
-          },
-          {
-            "split": "food_produce_banana_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_banana_a01.csv"
-          },
-          {
-            "split": "food_produce_broccoli_b01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_broccoli_b01.csv"
-          },
-          {
-            "split": "handtool_hammer_crosspeen_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_hammer_crosspeen_a01.csv"
-          },
-          {
-            "split": "handtool_wrench_adjustable_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv"
-          },
-          {
-            "split": "handtruck_convertible_steel_red_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtruck_convertible_steel_red_a01.csv"
-          },
-          {
-            "split": "kitchenware_kettle_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv"
-          },
-          {
-            "split": "kitchenware_pan_j01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_pan_j01.csv"
-          },
-          {
-            "split": "pallet_wood_recycled_a05",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/pallet_wood_recycled_a05.csv"
-          },
-          {
-            "split": "powertool_drill_b01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/powertool_drill_b01.csv"
-          },
-          {
-            "split": "ppe_helmet_hardhat_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/ppe_helmet_hardhat_a01.csv"
-          },
-          {
-            "split": "servicetool_funnel_flexiblespout_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/servicetool_funnel_flexiblespout_a01.csv"
-          },
-          {
-            "split": "sign_wetfloor_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/sign_wetfloor_a01.csv"
-          },
-          {
-            "split": "suspension_coilover_rear_b01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/suspension_coilover_rear_b01.csv"
-          },
-          {
-            "split": "tools_fireextinguisher_co2_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/tools_fireextinguisher_co2_a01.csv"
-          },
-          {
-            "split": "utensils_scissors_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/utensils_scissors_a01.csv"
-          },
-          {
-            "split": "wheelassembly_wheel_rim_a01",
-            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv"
-          }
-        ]
-      }
-    }
-  },
-  "splits": {
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+          }
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+          }
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+          }
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+            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/accessory_eyeglasses_a01.csv"
+          },
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+          },
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+          },
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+            "path": "viewer/fresh-v1-nv25-gpt-6.1-sol-pi-none-medium-turn64-20261020/by_asset/chair_office_amf_black_a01.csv"
+          }
+        ]
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/accessory_eyeglasses_a01.csv"
+          },
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/box_cardboard_open_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/bucket_utility_red_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/chair_office_amf_black_a01.csv"
+          },
+          {
+            "split": "cleaning_cloth_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/cleaning_cloth_a01.csv"
+          },
+          {
+            "split": "container_bottle_glass_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/container_bottle_glass_a01.csv"
+          },
+          {
+            "split": "enginecomponent_camshaft_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/enginecomponent_camshaft_a01.csv"
+          },
+          {
+            "split": "food_beverage_coffeecup_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_beverage_coffeecup_a01.csv"
+          },
+          {
+            "split": "food_prepared_croissant_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_prepared_croissant_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_banana_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/food_produce_broccoli_b01.csv"
+          },
+          {
+            "split": "handtool_hammer_crosspeen_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_hammer_crosspeen_a01.csv"
+          },
+          {
+            "split": "handtool_wrench_adjustable_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtool_wrench_adjustable_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/handtruck_convertible_steel_red_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_kettle_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/kitchenware_pan_j01.csv"
+          },
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/pallet_wood_recycled_a05.csv"
+          },
+          {
+            "split": "powertool_drill_b01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/powertool_drill_b01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/ppe_helmet_hardhat_a01.csv"
+          },
+          {
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+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/servicetool_funnel_flexiblespout_a01.csv"
+          },
+          {
+            "split": "sign_wetfloor_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/sign_wetfloor_a01.csv"
+          },
+          {
+            "split": "suspension_coilover_rear_b01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/suspension_coilover_rear_b01.csv"
+          },
+          {
+            "split": "tools_fireextinguisher_co2_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/tools_fireextinguisher_co2_a01.csv"
+          },
+          {
+            "split": "utensils_scissors_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/utensils_scissors_a01.csv"
+          },
+          {
+            "split": "wheelassembly_wheel_rim_a01",
+            "path": "viewer/nv25-gpt-6.1-sol-high-pi-none-turn64-20261020/by_asset/wheelassembly_wheel_rim_a01.csv"
+          }
+        ]
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+    },
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+      "viewer_scores": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv",
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
+          }
+        ],
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
+          }
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
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+        "by_reasoning": [
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+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
+          }
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+        "by_asset": [
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+            "split": "food_prepared_croissant_a01",
+            "path": "viewer/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/scores.csv"
+          }
+        ]
+      }
+    }
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+      "\"accessory_eyeglasses_a01\"": "accessory_eyeglasses_a01",
+      "\"box_cardboard_open_a01\"": "box_cardboard_open_a01",
+      "\"bucket_utility_red_a01\"": "bucket_utility_red_a01",
+      "\"chair_office_amf_black_a01\"": "chair_office_amf_black_a01",
+      "\"container_bottle_glass_a01\"": "container_bottle_glass_a01",
+      "\"food_beverage_coffeeCup_a01\"": "food_beverage_coffeecup_a01",
+      "\"engineComponent_camshaft_a01\"": "enginecomponent_camshaft_a01",
+      "\"cleaning_cloth_a01\"": "cleaning_cloth_a01",
+      "\"handTruck_convertible_steel_red_a01\"": "handtruck_convertible_steel_red_a01",
+      "\"kitchenware_kettle_a01\"": "kitchenware_kettle_a01",
+      "\"food_produce_broccoli_b01\"": "food_produce_broccoli_b01",
+      "\"handTool_hammer_crossPeen_a01\"": "handtool_hammer_crosspeen_a01",
+      "\"handTool_wrench_adjustable_a01\"": "handtool_wrench_adjustable_a01",
+      "\"suspension_coilover_rear_b01\"": "suspension_coilover_rear_b01",
+      "\"ppe_helmet_hardHat_a01\"": "ppe_helmet_hardhat_a01",
+      "\"serviceTool_funnel_flexibleSpout_a01\"": "servicetool_funnel_flexiblespout_a01",
+      "\"kitchenware_pan_j01\"": "kitchenware_pan_j01",
+      "\"pallet_wood_recycled_a05\"": "pallet_wood_recycled_a05",
+      "\"food_prepared_croissant_a01\"": "food_prepared_croissant_a01",
+      "\"food_produce_banana_a01\"": "food_produce_banana_a01",
+      "\"sign_wetFloor_a01\"": "sign_wetfloor_a01",
+      "\"tools_fireExtinguisher_CO2_a01\"": "tools_fireextinguisher_co2_a01",
+      "\"utensils_scissors_a01\"": "utensils_scissors_a01",
+      "\"wheelAssembly_wheel_rim_a01\"": "wheelassembly_wheel_rim_a01",
+      "\"powerTool_drill_b01\"": "powertool_drill_b01"
+    },
+    "by_harness": {
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+      "\"Qwen/Qwen3.8-27B:deepinfra\"": "qwen_qwen3_8_27b_deepinfra"
+    },
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+      "\"authoring-64-native-output-v1\"": "authoring_64_native_output_v1"
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+      "\"high\"": "high",
+      "\"xhigh\"": "xhigh"
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+      "\"nv25\"": "nv25"
+    },
+    "by_skills": {
+      "\"none\"": "none"
+    }
+  },
+  "columns": [
+    "reference_image",
+    "candidate_image",
+    "capture_view",
+    "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"
+  ],
+  "schema_sha256": "6f9ec2e7dc82991951c6003396d5b770fdd1197fbb63e4ced39ff45996488f56"
+}

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

@@ -0,0 +1,2 @@
+reference_image,candidate_image,capture_view,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
+https://huggingface.co/datasets/hcltech-robotics/simreadybench/resolve/main/runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/evidence/food_prepared_croissant_a01/reconstruction-2/reference-isometric-2.png,https://huggingface.co/datasets/hcltech-robotics/simreadybench/resolve/main/runs/nv25-qwen38-27b-xhigh-pi-none-turn64-20261021/evidence/food_prepared_croissant_a01/reconstruction-2/candidate-isometric-5.png,isometric,condition-0588e8089b0f3eb4589c03ea786664d39d1cf94c6488dd437a716e2157f713d2,food_prepared_croissant_a01,Qwen/Qwen3.8-27B:deepinfra,pi,none,2,completed,76.41304347826087,0.0,,76.41304347826087,37,46,9,0,76.41304347826087,76.41304347826087,0,76.47058823529412,39,12,0,51,51,1.0,76.47058823529412,76.47058823529412,0.0,0.0,,0.0,1.0,1.0,0,0.8333333333333334,complete,measured,37,46,46,1.0,76.41304347826087,76.41304347826087,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,0.0,0.0,2048,0.0,100.0,4,4,0,0,64,1,0,1753.1934576146305,1685.796261843294,2691173,43577,2734750,,,