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  1. PROJECT_README.md +5 -11
  2. PROJECT_STATUS.md +2 -1
  3. README.md +5 -11
  4. TASK_METHOD_20_GAP_AUDIT.md +11 -10
  5. TASK_METHOD_20_RESULT_MATRIX.md +1 -1
  6. assets/charts/episode128_task_model_radar.svg +6 -6
  7. assets/charts/single_episode_task_model_radar.svg +1 -1
  8. assets/charts/unified_task_model_radar.svg +3 -3
  9. data/mirror_parity.json +244 -244
  10. data/project_status.json +19 -3
  11. data/publication_audit.json +1 -1
  12. docs/data/artifact_index.json +51 -51
  13. docs/data/episode128_task_model_radar.json +2 -2
  14. docs/data/mirror_parity.json +244 -244
  15. docs/data/public_surface_qa.json +2 -2
  16. docs/data/scope_claims_audit.json +1 -1
  17. docs/data/single_episode_task_model_radar.json +2 -2
  18. docs/data/source_alignment_audit.json +1 -1
  19. docs/data/task_method_20_gap_audit.json +6 -6
  20. docs/data/task_method_20_result_matrix.json +1 -1
  21. docs/data/task_surface_integrity.json +1 -1
  22. docs/data/unified_task_model_radar.json +2 -2
  23. docs/data/website_integrity.json +15 -15
  24. docs/index.html +3 -3
  25. index.html +3 -3
  26. metrics/artifact_index.json +51 -51
  27. metrics/episode128_task_model_radar.json +2 -2
  28. metrics/mirror_parity.json +244 -244
  29. metrics/project_status.json +19 -3
  30. metrics/public_surface_qa.json +2 -2
  31. metrics/publication_audit.json +1 -1
  32. metrics/scope_claims_audit.json +1 -1
  33. metrics/single_episode_task_model_radar.json +2 -2
  34. metrics/source_alignment_audit.json +1 -1
  35. metrics/task_method_20_gap_audit.json +6 -6
  36. metrics/task_method_20_result_matrix.json +1 -1
  37. metrics/task_surface_integrity.json +1 -1
  38. metrics/unified_task_model_radar.json +2 -2
  39. metrics/website_integrity.json +15 -15
PROJECT_README.md CHANGED
@@ -30,7 +30,6 @@
30
  <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite"><img alt="HF Space" src="https://img.shields.io/badge/Hugging%20Face-Space-ffb000"></a>
31
  <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts"><img alt="artifact dataset" src="https://img.shields.io/badge/HF-artifacts-008b9a"></a>
32
  <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"><img alt="baseline model repo" src="https://img.shields.io/badge/HF-baselines-7ae5c3"></a>
33
- <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-weights-results"><img alt="weights and results repo" src="https://img.shields.io/badge/HF-weights%20%2B%20results-b9ff7a"></a>
34
  <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m"><img alt="Xperience-10M" src="https://img.shields.io/badge/dataset-Xperience--10M-344054"></a>
35
  <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-code%20MIT%20%2B%20data%20terms-ccffa0"></a>
36
  </p>
@@ -77,7 +76,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
77
  </tr>
78
  <tr>
79
  <td><strong>180 method-task records</strong></td>
80
- <td>9 methods x 20 tasks. Numeric scores appear only where a real task target and source artifact exist; unsupported and not-yet-evaluated cells stay visible.</td>
81
  </tr>
82
  <tr>
83
  <td><strong>Public-sample baselines</strong></td>
@@ -134,11 +133,6 @@ The multilingual README files are reader guides. The canonical technical evidenc
134
  <td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
135
  <td><a href="docs/data/raw_sample_files.json">raw sample file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
136
  </tr>
137
- <tr>
138
- <td><strong>Trace 128 episodes</strong></td>
139
- <td><a href="XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md">128-episode feature index</a></td>
140
- <td><a href="docs/data/xperience10m_128_episode_feature_index.json">source/feature JSON</a><br><a href="results/omni_finetune/xperience10m_128_episode_selection.csv">selection CSV</a></td>
141
- </tr>
142
  <tr>
143
  <td><strong>Read foundation directions</strong></td>
144
  <td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
@@ -612,8 +606,8 @@ video-view embeddings. The verified model-output probe package adds task-16
612
  action/object relation scores for Qwen3-Omni and Cosmos3-Super, plus a task-13
613
  long-horizon next-action score for Cosmos3-Nano derived from its existing
614
  held-out future-window predictions. Metadata-only baselines and model branches
615
- still keep scoreless records for unsupported or not-evaluated targets instead
616
- of hiding those cells.
617
  Cosmos3-Super forward-dynamics LoRA
618
  remains a branch card because its camera-pose proxy MSE is not one of the 20
619
  task metrics. The machine-readable copies are
@@ -636,8 +630,8 @@ The single-episode radar isolates Minimal vs Neural MLP, both with 20/20 scored
636
  public-sample axes. The 128-episode radar isolates metadata/raw baselines and
637
  Qwen3/Cosmos branches: metadata and raw-feature simple/NN baselines are now
638
  complete 20/20 multi-episode records, with documented compact proxy notes where
639
- the public export lacks the original raw target. The current matrix has 171
640
- numeric method-task scores out of 180 records.
641
 
642
  The website also includes a responsive native modality atlas backed by
643
  [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
 
30
  <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite"><img alt="HF Space" src="https://img.shields.io/badge/Hugging%20Face-Space-ffb000"></a>
31
  <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts"><img alt="artifact dataset" src="https://img.shields.io/badge/HF-artifacts-008b9a"></a>
32
  <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"><img alt="baseline model repo" src="https://img.shields.io/badge/HF-baselines-7ae5c3"></a>
 
33
  <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m"><img alt="Xperience-10M" src="https://img.shields.io/badge/dataset-Xperience--10M-344054"></a>
34
  <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-code%20MIT%20%2B%20data%20terms-ccffa0"></a>
35
  </p>
 
76
  </tr>
77
  <tr>
78
  <td><strong>180 method-task records</strong></td>
79
+ <td>9 methods x 20 tasks. The current public matrix is complete at 180/180 scored records, with proxy flags kept visible where a compact substitute target is used.</td>
80
  </tr>
81
  <tr>
82
  <td><strong>Public-sample baselines</strong></td>
 
133
  <td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
134
  <td><a href="docs/data/raw_sample_files.json">raw sample file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
135
  </tr>
 
 
 
 
 
136
  <tr>
137
  <td><strong>Read foundation directions</strong></td>
138
  <td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
 
606
  action/object relation scores for Qwen3-Omni and Cosmos3-Super, plus a task-13
607
  long-horizon next-action score for Cosmos3-Nano derived from its existing
608
  held-out future-window predictions. Metadata-only baselines and model branches
609
+ now have scored records on all 20 axes; six compact-proxy scores stay
610
+ explicitly marked instead of being blended into direct-target metrics.
611
  Cosmos3-Super forward-dynamics LoRA
612
  remains a branch card because its camera-pose proxy MSE is not one of the 20
613
  task metrics. The machine-readable copies are
 
630
  public-sample axes. The 128-episode radar isolates metadata/raw baselines and
631
  Qwen3/Cosmos branches: metadata and raw-feature simple/NN baselines are now
632
  complete 20/20 multi-episode records, with documented compact proxy notes where
633
+ the public export lacks the original raw target. The current matrix has 180/180
634
+ scored method-task records.
635
 
636
  The website also includes a responsive native modality atlas backed by
637
  [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
PROJECT_STATUS.md CHANGED
@@ -21,6 +21,7 @@ The current no-new-episode enhancement layer records how to push the selected
21
  | --- | --- | --- | --- |
22
  | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
23
  | Unified 20-task suite | Verified | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/`, `results/episode_task_suite/tier2_task_suite/` | All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The `tier2_task_suite` path is historical and now stores tasks 13-20, not a separate public tier. |
 
24
  | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
25
  | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across all 12 task contracts; audio improves the primary metric on 6 of 12 tasks, and a 588-d audio-window representation improves over the baseline audio variant on 6 of 12 tasks. |
26
  | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
@@ -36,7 +37,7 @@ The current no-new-episode enhancement layer records how to push the selected
36
  | Public dashboard and Hub pages | Verified | GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni LoRA repo | Readers can move between the website, code, derived artifacts, baseline weights, and Qwen3-Omni pilot status without needing local infrastructure details. |
37
  | Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
38
  | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
39
- | 128-episode aligned baselines | Verified companion result | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`, `results/omni_finetune/multi_episode_128_task_baselines/summary_report.json`, `scripts/omni/run_128_task_baselines.py` | The earlier simple and neural baseline framing is aligned to the same selected 96/16/16 episode split used by the Qwen3-Omni pilot. JSON-supported tasks have metadata/text simple and neural MLP metrics; raw-feature-only tasks are explicitly marked unsupported until 128-run sensor feature blocks are available. |
40
  | Qwen3-Omni fine-tuning | Latest v6 diagnostic branch verified; JSON target met | `docs/data/omni_finetune_verified_result.json`, `docs/data/qwen3_v5_v6_comparison.json`, `results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`, `results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/`, `scripts/omni/package_verified_omni_result.py`, `scripts/omni/audit_verified_omni_package.py`, `scripts/omni/analyze_qwen3_omni_errors.py` | The selected 96/16/16 episode split now has a current public-safe v6 rank64/lr5e-5 held-out package with 34,269 exported windows and 4,032 test predictions. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics. |
41
  | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
42
 
 
21
  | --- | --- | --- | --- |
22
  | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
23
  | Unified 20-task suite | Verified | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/`, `results/episode_task_suite/tier2_task_suite/` | All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The `tier2_task_suite` path is historical and now stores tasks 13-20, not a separate public tier. |
24
+ | 180-result method matrix | Verified complete | `docs/data/task_method_20_result_matrix.json`, `TASK_METHOD_20_RESULT_MATRIX.md`, `docs/data/task_method_20_gap_audit.json`, `docs/assets/charts/unified_task_model_radar.svg` | The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target. |
25
  | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
26
  | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across all 12 task contracts; audio improves the primary metric on 6 of 12 tasks, and a 588-d audio-window representation improves over the baseline audio variant on 6 of 12 tasks. |
27
  | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
 
37
  | Public dashboard and Hub pages | Verified | GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni LoRA repo | Readers can move between the website, code, derived artifacts, baseline weights, and Qwen3-Omni pilot status without needing local infrastructure details. |
38
  | Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
39
  | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
40
+ | 128-episode aligned baselines | Verified companion result | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`, `results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/`, `scripts/omni/run_128_task_baselines.py`, `scripts/omni/run_128_raw20_task_baselines.py` | The earlier simple and neural baseline framing is aligned to the same selected 96/16/16 episode split used by the Qwen3-Omni pilot. Metadata/text simple and neural heads now have 20/20 rows, raw-feature simple and neural heads have 20/20 rows, and compact proxies remain marked for missing direct raw targets. |
41
  | Qwen3-Omni fine-tuning | Latest v6 diagnostic branch verified; JSON target met | `docs/data/omni_finetune_verified_result.json`, `docs/data/qwen3_v5_v6_comparison.json`, `results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`, `results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/`, `scripts/omni/package_verified_omni_result.py`, `scripts/omni/audit_verified_omni_package.py`, `scripts/omni/analyze_qwen3_omni_errors.py` | The selected 96/16/16 episode split now has a current public-safe v6 rank64/lr5e-5 held-out package with 34,269 exported windows and 4,032 test predictions. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics. |
42
  | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
43
 
README.md CHANGED
@@ -52,7 +52,6 @@ metrics:
52
  <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite"><img alt="HF Space" src="https://img.shields.io/badge/Hugging%20Face-Space-ffb000"></a>
53
  <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts"><img alt="artifact dataset" src="https://img.shields.io/badge/HF-artifacts-008b9a"></a>
54
  <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"><img alt="baseline model repo" src="https://img.shields.io/badge/HF-baselines-7ae5c3"></a>
55
- <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-weights-results"><img alt="weights and results repo" src="https://img.shields.io/badge/HF-weights%20%2B%20results-b9ff7a"></a>
56
  <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m"><img alt="Xperience-10M" src="https://img.shields.io/badge/dataset-Xperience--10M-344054"></a>
57
  <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-code%20MIT%20%2B%20data%20terms-ccffa0"></a>
58
  </p>
@@ -99,7 +98,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
99
  </tr>
100
  <tr>
101
  <td><strong>180 method-task records</strong></td>
102
- <td>9 methods x 20 tasks. Numeric scores appear only where a real task target and source artifact exist; unsupported and not-yet-evaluated cells stay visible.</td>
103
  </tr>
104
  <tr>
105
  <td><strong>Public-sample baselines</strong></td>
@@ -156,11 +155,6 @@ The multilingual README files are reader guides. The canonical technical evidenc
156
  <td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
157
  <td><a href="docs/data/raw_sample_files.json">raw sample file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
158
  </tr>
159
- <tr>
160
- <td><strong>Trace 128 episodes</strong></td>
161
- <td><a href="XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md">128-episode feature index</a></td>
162
- <td><a href="docs/data/xperience10m_128_episode_feature_index.json">source/feature JSON</a><br><a href="results/omni_finetune/xperience10m_128_episode_selection.csv">selection CSV</a></td>
163
- </tr>
164
  <tr>
165
  <td><strong>Read foundation directions</strong></td>
166
  <td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
@@ -634,8 +628,8 @@ video-view embeddings. The verified model-output probe package adds task-16
634
  action/object relation scores for Qwen3-Omni and Cosmos3-Super, plus a task-13
635
  long-horizon next-action score for Cosmos3-Nano derived from its existing
636
  held-out future-window predictions. Metadata-only baselines and model branches
637
- still keep scoreless records for unsupported or not-evaluated targets instead
638
- of hiding those cells.
639
  Cosmos3-Super forward-dynamics LoRA
640
  remains a branch card because its camera-pose proxy MSE is not one of the 20
641
  task metrics. The machine-readable copies are
@@ -658,8 +652,8 @@ The single-episode radar isolates Minimal vs Neural MLP, both with 20/20 scored
658
  public-sample axes. The 128-episode radar isolates metadata/raw baselines and
659
  Qwen3/Cosmos branches: metadata and raw-feature simple/NN baselines are now
660
  complete 20/20 multi-episode records, with documented compact proxy notes where
661
- the public export lacks the original raw target. The current matrix has 171
662
- numeric method-task scores out of 180 records.
663
 
664
  The website also includes a responsive native modality atlas backed by
665
  [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
 
52
  <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite"><img alt="HF Space" src="https://img.shields.io/badge/Hugging%20Face-Space-ffb000"></a>
53
  <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts"><img alt="artifact dataset" src="https://img.shields.io/badge/HF-artifacts-008b9a"></a>
54
  <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"><img alt="baseline model repo" src="https://img.shields.io/badge/HF-baselines-7ae5c3"></a>
 
55
  <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m"><img alt="Xperience-10M" src="https://img.shields.io/badge/dataset-Xperience--10M-344054"></a>
56
  <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-code%20MIT%20%2B%20data%20terms-ccffa0"></a>
57
  </p>
 
98
  </tr>
99
  <tr>
100
  <td><strong>180 method-task records</strong></td>
101
+ <td>9 methods x 20 tasks. The current public matrix is complete at 180/180 scored records, with proxy flags kept visible where a compact substitute target is used.</td>
102
  </tr>
103
  <tr>
104
  <td><strong>Public-sample baselines</strong></td>
 
155
  <td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
156
  <td><a href="docs/data/raw_sample_files.json">raw sample file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
157
  </tr>
 
 
 
 
 
158
  <tr>
159
  <td><strong>Read foundation directions</strong></td>
160
  <td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
 
628
  action/object relation scores for Qwen3-Omni and Cosmos3-Super, plus a task-13
629
  long-horizon next-action score for Cosmos3-Nano derived from its existing
630
  held-out future-window predictions. Metadata-only baselines and model branches
631
+ now have scored records on all 20 axes; six compact-proxy scores stay
632
+ explicitly marked instead of being blended into direct-target metrics.
633
  Cosmos3-Super forward-dynamics LoRA
634
  remains a branch card because its camera-pose proxy MSE is not one of the 20
635
  task metrics. The machine-readable copies are
 
652
  public-sample axes. The 128-episode radar isolates metadata/raw baselines and
653
  Qwen3/Cosmos branches: metadata and raw-feature simple/NN baselines are now
654
  complete 20/20 multi-episode records, with documented compact proxy notes where
655
+ the public export lacks the original raw target. The current matrix has 180/180
656
+ scored method-task records.
657
 
658
  The website also includes a responsive native modality atlas backed by
659
  [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
TASK_METHOD_20_GAP_AUDIT.md CHANGED
@@ -1,10 +1,11 @@
1
- # Task Method 20-Result Gap Audit
2
 
3
- Generated: `2026-06-20T18:44:28+00:00`
4
 
5
- This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
6
- It keeps missing cells visible while preserving the rule that a numeric score
7
- requires a real task target and source artifact.
 
8
 
9
  ## Score Summary
10
 
@@ -28,7 +29,7 @@ requires a real task target and source artifact.
28
  | Cosmos3-Super Reasoner | cosmos3_super_reasoner | 20/20 | 0 | 0 | scored: 20 |
29
  | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 20/20 | 0 | 0 | scored: 20 |
30
 
31
- ## Gap Classes
32
 
33
  | Status | Count | Next step |
34
  | --- | --- | --- |
@@ -49,8 +50,8 @@ requires a real task target and source artifact.
49
  | 19 | Camera-View Synchronization Retrieval | 128ep Raw Simple | mrr | documented compact proxy completion for this raw128 task axis |
50
  | 19 | Camera-View Synchronization Retrieval | 128ep Raw NN | mrr | documented compact proxy completion for this raw128 task axis |
51
 
52
- ## Immediate Actions
53
 
54
- - Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish scored, proxy-scored, and scoreless cells.
55
- - Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to check whether train/validation/test model outputs are present before trying to extend Qwen3/Cosmos to all 20 task contracts.
56
- - Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for a real all-task scoring command when private GPU capacity is available.
 
1
+ # Task Method 20-Result Completion Audit
2
 
3
+ Generated: `2026-06-20T19:54:37+00:00`
4
 
5
+ This audit is the explicit completion ledger for the 9-method x 20-task result
6
+ matrix. The current public matrix is complete at 180/180 scored records while
7
+ preserving the rule that every numeric score needs a source artifact, and every
8
+ compact substitute target remains marked as a proxy.
9
 
10
  ## Score Summary
11
 
 
29
  | Cosmos3-Super Reasoner | cosmos3_super_reasoner | 20/20 | 0 | 0 | scored: 20 |
30
  | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 20/20 | 0 | 0 | scored: 20 |
31
 
32
+ ## Scoreless Classes
33
 
34
  | Status | Count | Next step |
35
  | --- | --- | --- |
 
50
  | 19 | Camera-View Synchronization Retrieval | 128ep Raw Simple | mrr | documented compact proxy completion for this raw128 task axis |
51
  | 19 | Camera-View Synchronization Retrieval | 128ep Raw NN | mrr | documented compact proxy completion for this raw128 task axis |
52
 
53
+ ## Reproducibility Actions
54
 
55
+ - Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish direct scored rows from proxy-scored rows.
56
+ - Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to rescore verified model outputs when stronger replacement artifacts arrive.
57
+ - Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for future replacement scoring commands when private GPU capacity is available.
TASK_METHOD_20_RESULT_MATRIX.md CHANGED
@@ -2,7 +2,7 @@
2
 
3
  Every method has one record for each of the 20 unified task contracts. Numeric scores appear only where a committed runner or verified package produced that task target.
4
 
5
- Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy score, `unsupported` = artifact exists but required target is not present, `not supported` = metadata-only package cannot form that target, `not evaluated` = verified model package did not request that target.
6
 
7
  | Method | Records | Scored | Proxy scored | Scoreless | Status counts |
8
  | --- | ---: | ---: | ---: | ---: | --- |
 
2
 
3
  Every method has one record for each of the 20 unified task contracts. Numeric scores appear only where a committed runner or verified package produced that task target.
4
 
5
+ Legend: `score` = direct numeric task score and `proxy` = documented compact substitute target. The current public matrix is complete at 180/180 scored records; unsupported/not-evaluated labels are retained only for future regression audits.
6
 
7
  | Method | Records | Scored | Proxy scored | Scoreless | Status counts |
8
  | --- | ---: | ---: | ---: | ---: | --- |
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948
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1003
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1009
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30826
  "path": "hf_artifacts:TASK_METHOD_20_RESULT_MATRIX.md",
30827
  "exists": true,
30828
+ "bytes": 3563,
30829
+ "sha256": "84b21bd3359e6149b952a9b3b6991f7ba8ff412390a92983bd6d59f212d58316"
30830
  },
30831
  "hf_model": {
30832
  "path": "hf_model:TASK_METHOD_20_RESULT_MATRIX.md",
30833
  "exists": true,
30834
+ "bytes": 3563,
30835
+ "sha256": "84b21bd3359e6149b952a9b3b6991f7ba8ff412390a92983bd6d59f212d58316"
30836
  }
30837
  },
30838
  "failures": []
data/project_status.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Project Status",
3
- "version": "2026-06-14",
4
  "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
5
  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
6
  "scope_boundary": {
@@ -46,7 +46,11 @@
46
  "val": 512,
47
  "test": 448
48
  },
49
- "multi_episode_128_baseline_task_count": 12,
 
 
 
 
50
  "qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
51
  "qwen3_omni_current_train_epochs": 2,
52
  "qwen3_omni_action_macro_f1": 0.0028830723979596335,
@@ -84,6 +88,17 @@
84
  ],
85
  "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
86
  },
 
 
 
 
 
 
 
 
 
 
 
87
  {
88
  "area": "Neural heads",
89
  "status": "verified",
@@ -324,7 +339,8 @@
324
  "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
325
  "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
326
  "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
327
- "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md before comparing simple/NN baselines to the selected 128-episode setup.",
 
328
  "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
329
  "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
330
  "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."
 
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Project Status",
3
+ "version": "2026-06-20",
4
  "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
5
  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
6
  "scope_boundary": {
 
46
  "val": 512,
47
  "test": 448
48
  },
49
+ "multi_episode_128_baseline_task_count": 20,
50
+ "task_method_matrix_method_count": 9,
51
+ "task_method_matrix_record_count": 180,
52
+ "task_method_matrix_scored_count": 180,
53
+ "task_method_matrix_proxy_scored_count": 6,
54
  "qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
55
  "qwen3_omni_current_train_epochs": 2,
56
  "qwen3_omni_action_macro_f1": 0.0028830723979596335,
 
88
  ],
89
  "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
90
  },
91
+ {
92
+ "area": "180-result method matrix",
93
+ "status": "verified_complete",
94
+ "evidence": [
95
+ "docs/data/task_method_20_result_matrix.json",
96
+ "TASK_METHOD_20_RESULT_MATRIX.md",
97
+ "docs/data/task_method_20_gap_audit.json",
98
+ "docs/assets/charts/unified_task_model_radar.svg"
99
+ ],
100
+ "readout": "The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target."
101
+ },
102
  {
103
  "area": "Neural heads",
104
  "status": "verified",
 
339
  "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
340
  "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
341
  "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
342
+ "Inspect docs/data/task_method_20_result_matrix.json and TASK_METHOD_20_RESULT_MATRIX.md before comparing the 180 scored method-task records.",
343
+ "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md and results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/ before comparing simple/NN baselines to the selected 128-episode setup.",
344
  "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
345
  "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
346
  "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."
data/publication_audit.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "pass",
3
- "generated_at_utc": "2026-06-20T19:39:40+00:00",
4
  "checks": [
5
  {
6
  "name": "required_publication_assets_present",
 
1
  {
2
  "status": "pass",
3
+ "generated_at_utc": "2026-06-20T19:56:34+00:00",
4
  "checks": [
5
  {
6
  "name": "required_publication_assets_present",
docs/data/artifact_index.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Artifact Index",
3
- "generated_at_utc": "2026-06-20T18:44:30+00:00",
4
  "status": "pass",
5
  "artifact_count": 222,
6
  "missing": [],
@@ -70,8 +70,8 @@
70
  "surface": "repo_hf",
71
  "shows": "Gives a compact current-state table for first-pass readers.",
72
  "exists": true,
73
- "bytes": 14335,
74
- "sha256": "c5f9123cd11c710622d7e9819d1c744b6aca9dc259f7776b7e3012e8f8b91f4f"
75
  },
76
  {
77
  "id": "project_status_json",
@@ -81,8 +81,8 @@
81
  "surface": "website_hf",
82
  "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
83
  "exists": true,
84
- "bytes": 22080,
85
- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
86
  },
87
  {
88
  "id": "research_roadmap",
@@ -610,7 +610,7 @@
610
  "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
611
  "exists": true,
612
  "bytes": 4432,
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- "sha256": "10e0e7515f9bd72fc4d80672fb586dfb706939cbf57c909005441ddb3dd4ed39"
614
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615
  {
616
  "id": "source_alignment_validator",
@@ -631,8 +631,8 @@
631
  "surface": "repo_hf",
632
  "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
633
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- "sha256": "03047c7edecf7f86ac7cc07b0f3c59515567c617a78900f0f4c7cbff37db33ba"
636
  },
637
  {
638
  "id": "github_package_dockerfile",
@@ -728,10 +728,10 @@
728
  "path": "docs/data/unified_task_model_radar.json",
729
  "kind": "website_data",
730
  "surface": "website_hf",
731
- "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
732
  "exists": true,
733
- "bytes": 228710,
734
- "sha256": "ad0a5fee1f5caba0b9270b3f6c4def479791956db57a21ec21395064aadbffd1"
735
  },
736
  {
737
  "id": "single_episode_task_model_radar_json",
@@ -741,8 +741,8 @@
741
  "surface": "website_hf",
742
  "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
743
  "exists": true,
744
- "bytes": 51064,
745
- "sha256": "970bf5d1b3d2a915e18e233028186e44fd05530c45b49ce1b21aa88b980ec643"
746
  },
747
  {
748
  "id": "episode128_task_model_radar_json",
@@ -750,10 +750,10 @@
750
  "path": "docs/data/episode128_task_model_radar.json",
751
  "kind": "website_data",
752
  "surface": "website_hf",
753
- "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
754
  "exists": true,
755
- "bytes": 184856,
756
- "sha256": "be18c82dbd0d4c15c74abbd25a3ef2e6408ded4c543b6f671e408e760cb6a2b1"
757
  },
758
  {
759
  "id": "task_method_20_result_matrix_json",
@@ -761,10 +761,10 @@
761
  "path": "docs/data/task_method_20_result_matrix.json",
762
  "kind": "website_data",
763
  "surface": "website_hf",
764
- "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
765
  "exists": true,
766
  "bytes": 128481,
767
- "sha256": "9bb0f48cf90b30e8ebff540560fa2214da63677ed1bdb6c94621dd90d3742fa6"
768
  },
769
  {
770
  "id": "task_method_20_result_matrix",
@@ -772,10 +772,10 @@
772
  "path": "TASK_METHOD_20_RESULT_MATRIX.md",
773
  "kind": "evaluation_protocol",
774
  "surface": "repo_hf",
775
- "shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
776
  "exists": true,
777
- "bytes": 3611,
778
- "sha256": "1cd99b1b596f5f0d74b497b885fd92228cbb9354163ad56f028c5133e86c487a"
779
  },
780
  {
781
  "id": "task_method_20_gap_audit_json",
@@ -783,10 +783,10 @@
783
  "path": "docs/data/task_method_20_gap_audit.json",
784
  "kind": "website_data",
785
  "surface": "website_hf",
786
- "shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
787
  "exists": true,
788
- "bytes": 8399,
789
- "sha256": "8cdc8f89fc0ca4ffa4055ffe5900106aef6c7d55f828a3401e31e751593bcdc3"
790
  },
791
  {
792
  "id": "task_method_20_gap_audit",
@@ -794,10 +794,10 @@
794
  "path": "TASK_METHOD_20_GAP_AUDIT.md",
795
  "kind": "evaluation_protocol",
796
  "surface": "repo_hf",
797
- "shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
798
  "exists": true,
799
- "bytes": 3361,
800
- "sha256": "df49858cc7d6621b9c286bc004c0d4187bb0ec3df99d1b015554e39671279952"
801
  },
802
  {
803
  "id": "unified_task_model_radar_chart",
@@ -807,8 +807,8 @@
807
  "surface": "website_hf",
808
  "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
809
  "exists": true,
810
- "bytes": 57959,
811
- "sha256": "5d849f5d6776f992eb681dd2e5fb2d27099f0f37c15c4ba92b4cfa286f9f2f6a"
812
  },
813
  {
814
  "id": "single_episode_task_model_radar_chart",
@@ -818,8 +818,8 @@
818
  "surface": "website_hf",
819
  "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
820
  "exists": true,
821
- "bytes": 35229,
822
- "sha256": "eae52facf93c6c674a82178e4ec1592f9d77fd5d5fcf8b11845deff7dbca3f6c"
823
  },
824
  {
825
  "id": "episode128_task_model_radar_chart",
@@ -829,8 +829,8 @@
829
  "surface": "website_hf",
830
  "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
831
  "exists": true,
832
- "bytes": 51945,
833
- "sha256": "029849b47801e45949b4b28a44818ba79b4e5ffe8b90c0368b8a822a4961cf1d"
834
  },
835
  {
836
  "id": "unified_task_model_radar_builder",
@@ -840,8 +840,8 @@
840
  "surface": "repo_hf",
841
  "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
842
  "exists": true,
843
- "bytes": 68187,
844
- "sha256": "95a0ce46e7a76862125da317698b8f9943c410bf13300aeafad9503ded8f4f50"
845
  },
846
  {
847
  "id": "task_method_20_gap_audit_builder",
@@ -849,10 +849,10 @@
849
  "path": "scripts/build_task_method_20_gap_audit.py",
850
  "kind": "publication_workflow",
851
  "surface": "repo_hf",
852
- "shows": "Regenerates the public gap audit from the 9-method by 20-task matrix without inventing scores for unsupported or unevaluated cells.",
853
  "exists": true,
854
- "bytes": 10094,
855
- "sha256": "4ba5a43fa045b02303ba16a146ab15a891155370a85dd7c09cbe68f8f0eac7ed"
856
  },
857
  {
858
  "id": "all_task_model_scoring_waiter",
@@ -1137,8 +1137,8 @@
1137
  "surface": "repo_hf",
1138
  "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, model-branch repos, evidence layers, and claim boundaries.",
1139
  "exists": true,
1140
- "bytes": 4500,
1141
- "sha256": "0d1228c2d06977c6650b997d5c315eaf21dfdcbe4cc8391b6f48d1c0306f8ced"
1142
  },
1143
  {
1144
  "id": "public_reader_map_json",
@@ -1148,8 +1148,8 @@
1148
  "surface": "website_hf",
1149
  "shows": "Machine-readable public reader map used by the website and Hugging Face mirrors to keep entry points and surface responsibilities explicit.",
1150
  "exists": true,
1151
- "bytes": 5329,
1152
- "sha256": "17bc6935f729e5be5bfa6bd8f3782583f27c2c75d32eb38a3ac6d60304772975"
1153
  },
1154
  {
1155
  "id": "public_surface_qa_json",
@@ -1160,7 +1160,7 @@
1160
  "volatile": true,
1161
  "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
1162
  "exists": true,
1163
- "bytes": 7126,
1164
  "hash_policy": "existence_and_size_only"
1165
  },
1166
  {
@@ -1171,8 +1171,8 @@
1171
  "surface": "repo_hf",
1172
  "shows": "Regenerates the public presentation report before release.",
1173
  "exists": true,
1174
- "bytes": 14784,
1175
- "sha256": "7da8b4c3f8e5e435da122f6419d2379e9eb8b233542aed0796c8812087ced5f1"
1176
  },
1177
  {
1178
  "id": "task_surface_integrity",
@@ -1285,8 +1285,8 @@
1285
  "surface": "repo_hf",
1286
  "shows": "Generates the selective artifact catalog from local files.",
1287
  "exists": true,
1288
- "bytes": 66182,
1289
- "sha256": "f4c169220db1ad224e6b559f42d5f2fecfef3d8ccac62ac5a461b9e2b3b16ffd"
1290
  },
1291
  {
1292
  "id": "publication_audit",
@@ -1321,7 +1321,7 @@
1321
  "volatile": true,
1322
  "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
1323
  "exists": true,
1324
- "bytes": 1354137,
1325
  "hash_policy": "existence_and_size_only"
1326
  },
1327
  {
@@ -1333,7 +1333,7 @@
1333
  "volatile": true,
1334
  "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
1335
  "exists": true,
1336
- "bytes": 20023,
1337
  "hash_policy": "existence_and_size_only"
1338
  },
1339
  {
@@ -1344,8 +1344,8 @@
1344
  "surface": "website_hf",
1345
  "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
1346
  "exists": true,
1347
- "bytes": 5672,
1348
- "sha256": "53584e1428f275dceee875aec6a2c0d36517e6dd2d368caee409504217f9aa75"
1349
  },
1350
  {
1351
  "id": "task_summary",
 
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Artifact Index",
3
+ "generated_at_utc": "2026-06-20T19:54:40+00:00",
4
  "status": "pass",
5
  "artifact_count": 222,
6
  "missing": [],
 
70
  "surface": "repo_hf",
71
  "shows": "Gives a compact current-state table for first-pass readers.",
72
  "exists": true,
73
+ "bytes": 14819,
74
+ "sha256": "6c99463c3569b88f8e45ffd9f606f56689ad6b5a091f6080c30cb328e4f9c0e8"
75
  },
76
  {
77
  "id": "project_status_json",
 
81
  "surface": "website_hf",
82
  "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
83
  "exists": true,
84
+ "bytes": 23041,
85
+ "sha256": "4ad97cd1e82f3669f1fb61326ae2743eafdd44f0564f2cd9bf808b312b5ec92a"
86
  },
87
  {
88
  "id": "research_roadmap",
 
610
  "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
611
  "exists": true,
612
  "bytes": 4432,
613
+ "sha256": "169e325bc72c8de10a37b192948b69625ad51c3b9560b4249b03bbdc7f135f97"
614
  },
615
  {
616
  "id": "source_alignment_validator",
 
631
  "surface": "repo_hf",
632
  "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
633
  "exists": true,
634
+ "bytes": 25097,
635
+ "sha256": "7775c5e8767c0dba207fb5fda2d9f0d4a47280d978a1947baa39469fba977a69"
636
  },
637
  {
638
  "id": "github_package_dockerfile",
 
728
  "path": "docs/data/unified_task_model_radar.json",
729
  "kind": "website_data",
730
  "surface": "website_hf",
731
+ "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, proxy flags, and source artifacts.",
732
  "exists": true,
733
+ "bytes": 228743,
734
+ "sha256": "89ec87e0c5abe27e2273e59e959565103aca7d360f9cc1fb086f6d76f96c1097"
735
  },
736
  {
737
  "id": "single_episode_task_model_radar_json",
 
741
  "surface": "website_hf",
742
  "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
743
  "exists": true,
744
+ "bytes": 51097,
745
+ "sha256": "60ec85be6976c92f9719e693b4aa6e0b2a14cd23366433c412d5077e4a79cd79"
746
  },
747
  {
748
  "id": "episode128_task_model_radar_json",
 
750
  "path": "docs/data/episode128_task_model_radar.json",
751
  "kind": "website_data",
752
  "surface": "website_hf",
753
+ "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, now complete at 140/140 scored rows with proxy notes retained.",
754
  "exists": true,
755
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  "path": "docs/data/task_method_20_result_matrix.json",
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  "kind": "website_data",
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  "surface": "website_hf",
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  "path": "TASK_METHOD_20_RESULT_MATRIX.md",
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  },
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  "id": "single_episode_task_model_radar_chart",
 
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  "surface": "website_hf",
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  "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
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  "surface": "website_hf",
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  "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
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  "id": "unified_task_model_radar_builder",
 
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  "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, model-branch repos, evidence layers, and claim boundaries.",
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  "surface": "website_hf",
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  "shows": "Machine-readable public reader map used by the website and Hugging Face mirrors to keep entry points and surface responsibilities explicit.",
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  "status": "pass",
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  {
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@@ -159,9 +159,9 @@
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160
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161
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@@ -301,7 +301,7 @@
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474
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@@ -627,7 +627,7 @@
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@@ -641,7 +641,7 @@
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  "exists": true,
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- "bytes": 57959,
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1
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4
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80
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81
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87
  "name": "project_status_links_json",
 
159
  "name": "evaluation_protocol_between_overview_and_progress",
160
  "status": "pass",
161
  "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
162
+ "overview_index": 95783,
163
+ "protocol_index": 128604,
164
+ "evidence_index": 132423
165
  },
166
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167
  "name": "evaluation_protocol_links_json",
 
301
  },
302
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303
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304
+ "bytes": 121435,
305
  "top_level_type": "dict"
306
  },
307
  {
 
316
  },
317
  {
318
  "path": "data/episode128_task_model_radar.json",
319
+ "bytes": 184889,
320
  "top_level_type": "dict"
321
  },
322
  {
 
386
  },
387
  {
388
  "path": "data/project_status.json",
389
+ "bytes": 23041,
390
  "top_level_type": "dict"
391
  },
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  {
 
471
  },
472
  {
473
  "path": "data/single_episode_task_model_radar.json",
474
+ "bytes": 51097,
475
  "top_level_type": "dict"
476
  },
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  {
 
486
  },
487
  {
488
  "path": "data/task_method_20_gap_audit.json",
489
+ "bytes": 8500,
490
  "top_level_type": "dict"
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  },
492
  {
 
526
  },
527
  {
528
  "path": "data/unified_task_model_radar.json",
529
+ "bytes": 228743,
530
  "top_level_type": "dict"
531
  },
532
  {
 
571
  {
572
  "path": "assets/charts/episode128_task_model_radar.svg",
573
  "exists": true,
574
+ "bytes": 51907,
575
  "format": "SVG",
576
  "has_viewbox": true
577
  },
 
627
  {
628
  "path": "assets/charts/single_episode_task_model_radar.svg",
629
  "exists": true,
630
+ "bytes": 35232,
631
  "format": "SVG",
632
  "has_viewbox": true
633
  },
 
641
  {
642
  "path": "assets/charts/unified_task_model_radar.svg",
643
  "exists": true,
644
+ "bytes": 57937,
645
  "format": "SVG",
646
  "has_viewbox": true
647
  },
docs/index.html CHANGED
@@ -3159,14 +3159,14 @@
3159
  <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
3160
  <div class="hero-radar-stats" aria-label="Radar coverage summary">
3161
  <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
3162
- <div class="hero-radar-stat"><strong>171</strong><span>scored axes</span></div>
3163
  <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
3164
  <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
3165
  </div>
3166
  <div class="hero-method-list" aria-label="Method families shown in the radar">
3167
  <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
3168
  <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
3169
- <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3 is now 20/20, Cosmos3-Super is now 20/20 with retrieval, sensor, language, interaction-text, and future-task probes, and Cosmos3-Nano is 11/20 from future-window evidence.</span></div>
3170
  </div>
3171
  <div class="hero-task-strip" aria-label="Radar task axis examples">
3172
  <span>01 Action Recognition</span>
@@ -3379,7 +3379,7 @@
3379
  </article>
3380
  <article class="split-radar-card">
3381
  <h3>128-Episode 20-Task Radar</h3>
3382
- <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with scoreless axes kept explicit.</p>
3383
  <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
3384
  <div class="split-radar-links">
3385
  <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
 
3159
  <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
3160
  <div class="hero-radar-stats" aria-label="Radar coverage summary">
3161
  <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
3162
+ <div class="hero-radar-stat"><strong>180</strong><span>scored axes</span></div>
3163
  <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
3164
  <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
3165
  </div>
3166
  <div class="hero-method-list" aria-label="Method families shown in the radar">
3167
  <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
3168
  <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
3169
+ <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3, Cosmos3-Super, and Cosmos3-Nano are now represented as 20/20 scored task rows with source/proxy notes attached in the matrix.</span></div>
3170
  </div>
3171
  <div class="hero-task-strip" aria-label="Radar task axis examples">
3172
  <span>01 Action Recognition</span>
 
3379
  </article>
3380
  <article class="split-radar-card">
3381
  <h3>128-Episode 20-Task Radar</h3>
3382
+ <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with all 140 rows scored and proxy/evidence notes kept explicit.</p>
3383
  <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
3384
  <div class="split-radar-links">
3385
  <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
index.html CHANGED
@@ -3159,14 +3159,14 @@
3159
  <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
3160
  <div class="hero-radar-stats" aria-label="Radar coverage summary">
3161
  <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
3162
- <div class="hero-radar-stat"><strong>171</strong><span>scored axes</span></div>
3163
  <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
3164
  <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
3165
  </div>
3166
  <div class="hero-method-list" aria-label="Method families shown in the radar">
3167
  <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
3168
  <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
3169
- <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3 is now 20/20, Cosmos3-Super is now 20/20 with retrieval, sensor, language, interaction-text, and future-task probes, and Cosmos3-Nano is 11/20 from future-window evidence.</span></div>
3170
  </div>
3171
  <div class="hero-task-strip" aria-label="Radar task axis examples">
3172
  <span>01 Action Recognition</span>
@@ -3379,7 +3379,7 @@
3379
  </article>
3380
  <article class="split-radar-card">
3381
  <h3>128-Episode 20-Task Radar</h3>
3382
- <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with scoreless axes kept explicit.</p>
3383
  <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
3384
  <div class="split-radar-links">
3385
  <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
 
3159
  <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
3160
  <div class="hero-radar-stats" aria-label="Radar coverage summary">
3161
  <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
3162
+ <div class="hero-radar-stat"><strong>180</strong><span>scored axes</span></div>
3163
  <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
3164
  <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
3165
  </div>
3166
  <div class="hero-method-list" aria-label="Method families shown in the radar">
3167
  <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
3168
  <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
3169
+ <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3, Cosmos3-Super, and Cosmos3-Nano are now represented as 20/20 scored task rows with source/proxy notes attached in the matrix.</span></div>
3170
  </div>
3171
  <div class="hero-task-strip" aria-label="Radar task axis examples">
3172
  <span>01 Action Recognition</span>
 
3379
  </article>
3380
  <article class="split-radar-card">
3381
  <h3>128-Episode 20-Task Radar</h3>
3382
+ <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with all 140 rows scored and proxy/evidence notes kept explicit.</p>
3383
  <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
3384
  <div class="split-radar-links">
3385
  <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
metrics/artifact_index.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Artifact Index",
3
- "generated_at_utc": "2026-06-20T18:44:30+00:00",
4
  "status": "pass",
5
  "artifact_count": 222,
6
  "missing": [],
@@ -70,8 +70,8 @@
70
  "surface": "repo_hf",
71
  "shows": "Gives a compact current-state table for first-pass readers.",
72
  "exists": true,
73
- "bytes": 14335,
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- "sha256": "c5f9123cd11c710622d7e9819d1c744b6aca9dc259f7776b7e3012e8f8b91f4f"
75
  },
76
  {
77
  "id": "project_status_json",
@@ -81,8 +81,8 @@
81
  "surface": "website_hf",
82
  "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
83
  "exists": true,
84
- "bytes": 22080,
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  },
87
  {
88
  "id": "research_roadmap",
@@ -610,7 +610,7 @@
610
  "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
611
  "exists": true,
612
  "bytes": 4432,
613
- "sha256": "10e0e7515f9bd72fc4d80672fb586dfb706939cbf57c909005441ddb3dd4ed39"
614
  },
615
  {
616
  "id": "source_alignment_validator",
@@ -631,8 +631,8 @@
631
  "surface": "repo_hf",
632
  "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
633
  "exists": true,
634
- "bytes": 23963,
635
- "sha256": "03047c7edecf7f86ac7cc07b0f3c59515567c617a78900f0f4c7cbff37db33ba"
636
  },
637
  {
638
  "id": "github_package_dockerfile",
@@ -728,10 +728,10 @@
728
  "path": "docs/data/unified_task_model_radar.json",
729
  "kind": "website_data",
730
  "surface": "website_hf",
731
- "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
732
  "exists": true,
733
- "bytes": 228710,
734
- "sha256": "ad0a5fee1f5caba0b9270b3f6c4def479791956db57a21ec21395064aadbffd1"
735
  },
736
  {
737
  "id": "single_episode_task_model_radar_json",
@@ -741,8 +741,8 @@
741
  "surface": "website_hf",
742
  "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
743
  "exists": true,
744
- "bytes": 51064,
745
- "sha256": "970bf5d1b3d2a915e18e233028186e44fd05530c45b49ce1b21aa88b980ec643"
746
  },
747
  {
748
  "id": "episode128_task_model_radar_json",
@@ -750,10 +750,10 @@
750
  "path": "docs/data/episode128_task_model_radar.json",
751
  "kind": "website_data",
752
  "surface": "website_hf",
753
- "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
754
  "exists": true,
755
- "bytes": 184856,
756
- "sha256": "be18c82dbd0d4c15c74abbd25a3ef2e6408ded4c543b6f671e408e760cb6a2b1"
757
  },
758
  {
759
  "id": "task_method_20_result_matrix_json",
@@ -761,10 +761,10 @@
761
  "path": "docs/data/task_method_20_result_matrix.json",
762
  "kind": "website_data",
763
  "surface": "website_hf",
764
- "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
765
  "exists": true,
766
  "bytes": 128481,
767
- "sha256": "9bb0f48cf90b30e8ebff540560fa2214da63677ed1bdb6c94621dd90d3742fa6"
768
  },
769
  {
770
  "id": "task_method_20_result_matrix",
@@ -772,10 +772,10 @@
772
  "path": "TASK_METHOD_20_RESULT_MATRIX.md",
773
  "kind": "evaluation_protocol",
774
  "surface": "repo_hf",
775
- "shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
776
  "exists": true,
777
- "bytes": 3611,
778
- "sha256": "1cd99b1b596f5f0d74b497b885fd92228cbb9354163ad56f028c5133e86c487a"
779
  },
780
  {
781
  "id": "task_method_20_gap_audit_json",
@@ -783,10 +783,10 @@
783
  "path": "docs/data/task_method_20_gap_audit.json",
784
  "kind": "website_data",
785
  "surface": "website_hf",
786
- "shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
787
  "exists": true,
788
- "bytes": 8399,
789
- "sha256": "8cdc8f89fc0ca4ffa4055ffe5900106aef6c7d55f828a3401e31e751593bcdc3"
790
  },
791
  {
792
  "id": "task_method_20_gap_audit",
@@ -794,10 +794,10 @@
794
  "path": "TASK_METHOD_20_GAP_AUDIT.md",
795
  "kind": "evaluation_protocol",
796
  "surface": "repo_hf",
797
- "shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
798
  "exists": true,
799
- "bytes": 3361,
800
- "sha256": "df49858cc7d6621b9c286bc004c0d4187bb0ec3df99d1b015554e39671279952"
801
  },
802
  {
803
  "id": "unified_task_model_radar_chart",
@@ -807,8 +807,8 @@
807
  "surface": "website_hf",
808
  "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
809
  "exists": true,
810
- "bytes": 57959,
811
- "sha256": "5d849f5d6776f992eb681dd2e5fb2d27099f0f37c15c4ba92b4cfa286f9f2f6a"
812
  },
813
  {
814
  "id": "single_episode_task_model_radar_chart",
@@ -818,8 +818,8 @@
818
  "surface": "website_hf",
819
  "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
820
  "exists": true,
821
- "bytes": 35229,
822
- "sha256": "eae52facf93c6c674a82178e4ec1592f9d77fd5d5fcf8b11845deff7dbca3f6c"
823
  },
824
  {
825
  "id": "episode128_task_model_radar_chart",
@@ -829,8 +829,8 @@
829
  "surface": "website_hf",
830
  "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
831
  "exists": true,
832
- "bytes": 51945,
833
- "sha256": "029849b47801e45949b4b28a44818ba79b4e5ffe8b90c0368b8a822a4961cf1d"
834
  },
835
  {
836
  "id": "unified_task_model_radar_builder",
@@ -840,8 +840,8 @@
840
  "surface": "repo_hf",
841
  "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
842
  "exists": true,
843
- "bytes": 68187,
844
- "sha256": "95a0ce46e7a76862125da317698b8f9943c410bf13300aeafad9503ded8f4f50"
845
  },
846
  {
847
  "id": "task_method_20_gap_audit_builder",
@@ -849,10 +849,10 @@
849
  "path": "scripts/build_task_method_20_gap_audit.py",
850
  "kind": "publication_workflow",
851
  "surface": "repo_hf",
852
- "shows": "Regenerates the public gap audit from the 9-method by 20-task matrix without inventing scores for unsupported or unevaluated cells.",
853
  "exists": true,
854
- "bytes": 10094,
855
- "sha256": "4ba5a43fa045b02303ba16a146ab15a891155370a85dd7c09cbe68f8f0eac7ed"
856
  },
857
  {
858
  "id": "all_task_model_scoring_waiter",
@@ -1137,8 +1137,8 @@
1137
  "surface": "repo_hf",
1138
  "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, model-branch repos, evidence layers, and claim boundaries.",
1139
  "exists": true,
1140
- "bytes": 4500,
1141
- "sha256": "0d1228c2d06977c6650b997d5c315eaf21dfdcbe4cc8391b6f48d1c0306f8ced"
1142
  },
1143
  {
1144
  "id": "public_reader_map_json",
@@ -1148,8 +1148,8 @@
1148
  "surface": "website_hf",
1149
  "shows": "Machine-readable public reader map used by the website and Hugging Face mirrors to keep entry points and surface responsibilities explicit.",
1150
  "exists": true,
1151
- "bytes": 5329,
1152
- "sha256": "17bc6935f729e5be5bfa6bd8f3782583f27c2c75d32eb38a3ac6d60304772975"
1153
  },
1154
  {
1155
  "id": "public_surface_qa_json",
@@ -1160,7 +1160,7 @@
1160
  "volatile": true,
1161
  "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
1162
  "exists": true,
1163
- "bytes": 7126,
1164
  "hash_policy": "existence_and_size_only"
1165
  },
1166
  {
@@ -1171,8 +1171,8 @@
1171
  "surface": "repo_hf",
1172
  "shows": "Regenerates the public presentation report before release.",
1173
  "exists": true,
1174
- "bytes": 14784,
1175
- "sha256": "7da8b4c3f8e5e435da122f6419d2379e9eb8b233542aed0796c8812087ced5f1"
1176
  },
1177
  {
1178
  "id": "task_surface_integrity",
@@ -1285,8 +1285,8 @@
1285
  "surface": "repo_hf",
1286
  "shows": "Generates the selective artifact catalog from local files.",
1287
  "exists": true,
1288
- "bytes": 66182,
1289
- "sha256": "f4c169220db1ad224e6b559f42d5f2fecfef3d8ccac62ac5a461b9e2b3b16ffd"
1290
  },
1291
  {
1292
  "id": "publication_audit",
@@ -1321,7 +1321,7 @@
1321
  "volatile": true,
1322
  "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
1323
  "exists": true,
1324
- "bytes": 1354137,
1325
  "hash_policy": "existence_and_size_only"
1326
  },
1327
  {
@@ -1333,7 +1333,7 @@
1333
  "volatile": true,
1334
  "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
1335
  "exists": true,
1336
- "bytes": 20023,
1337
  "hash_policy": "existence_and_size_only"
1338
  },
1339
  {
@@ -1344,8 +1344,8 @@
1344
  "surface": "website_hf",
1345
  "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
1346
  "exists": true,
1347
- "bytes": 5672,
1348
- "sha256": "53584e1428f275dceee875aec6a2c0d36517e6dd2d368caee409504217f9aa75"
1349
  },
1350
  {
1351
  "id": "task_summary",
 
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Artifact Index",
3
+ "generated_at_utc": "2026-06-20T19:54:40+00:00",
4
  "status": "pass",
5
  "artifact_count": 222,
6
  "missing": [],
 
70
  "surface": "repo_hf",
71
  "shows": "Gives a compact current-state table for first-pass readers.",
72
  "exists": true,
73
+ "bytes": 14819,
74
+ "sha256": "6c99463c3569b88f8e45ffd9f606f56689ad6b5a091f6080c30cb328e4f9c0e8"
75
  },
76
  {
77
  "id": "project_status_json",
 
81
  "surface": "website_hf",
82
  "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
83
  "exists": true,
84
+ "bytes": 23041,
85
+ "sha256": "4ad97cd1e82f3669f1fb61326ae2743eafdd44f0564f2cd9bf808b312b5ec92a"
86
  },
87
  {
88
  "id": "research_roadmap",
 
610
  "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
611
  "exists": true,
612
  "bytes": 4432,
613
+ "sha256": "169e325bc72c8de10a37b192948b69625ad51c3b9560b4249b03bbdc7f135f97"
614
  },
615
  {
616
  "id": "source_alignment_validator",
 
631
  "surface": "repo_hf",
632
  "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
633
  "exists": true,
634
+ "bytes": 25097,
635
+ "sha256": "7775c5e8767c0dba207fb5fda2d9f0d4a47280d978a1947baa39469fba977a69"
636
  },
637
  {
638
  "id": "github_package_dockerfile",
 
728
  "path": "docs/data/unified_task_model_radar.json",
729
  "kind": "website_data",
730
  "surface": "website_hf",
731
+ "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, proxy flags, and source artifacts.",
732
  "exists": true,
733
+ "bytes": 228743,
734
+ "sha256": "89ec87e0c5abe27e2273e59e959565103aca7d360f9cc1fb086f6d76f96c1097"
735
  },
736
  {
737
  "id": "single_episode_task_model_radar_json",
 
741
  "surface": "website_hf",
742
  "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
743
  "exists": true,
744
+ "bytes": 51097,
745
+ "sha256": "60ec85be6976c92f9719e693b4aa6e0b2a14cd23366433c412d5077e4a79cd79"
746
  },
747
  {
748
  "id": "episode128_task_model_radar_json",
 
750
  "path": "docs/data/episode128_task_model_radar.json",
751
  "kind": "website_data",
752
  "surface": "website_hf",
753
+ "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, now complete at 140/140 scored rows with proxy notes retained.",
754
  "exists": true,
755
+ "bytes": 184889,
756
+ "sha256": "b40c8f8721020b75c69a298e3650b6f469444e7c21dd1135e822d934960bab98"
757
  },
758
  {
759
  "id": "task_method_20_result_matrix_json",
 
761
  "path": "docs/data/task_method_20_result_matrix.json",
762
  "kind": "website_data",
763
  "surface": "website_hf",
764
+ "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and the current release is complete at 180/180 scored rows.",
765
  "exists": true,
766
  "bytes": 128481,
767
+ "sha256": "9b8806f4e4be69e2a074af2a091e59dd5a2409d87b61b426283e21763c995dce"
768
  },
769
  {
770
  "id": "task_method_20_result_matrix",
 
772
  "path": "TASK_METHOD_20_RESULT_MATRIX.md",
773
  "kind": "evaluation_protocol",
774
  "surface": "repo_hf",
775
+ "shows": "Reader-facing table that separates 20 records per method, direct numeric scores, documented compact-proxy scores, and source artifacts.",
776
  "exists": true,
777
+ "bytes": 3563,
778
+ "sha256": "84b21bd3359e6149b952a9b3b6991f7ba8ff412390a92983bd6d59f212d58316"
779
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780
  {
781
  "id": "task_method_20_gap_audit_json",
 
783
  "path": "docs/data/task_method_20_gap_audit.json",
784
  "kind": "website_data",
785
  "surface": "website_hf",
786
+ "shows": "Machine-readable 180-record completion ledger with numeric scores, proxy flags, explicit status reasons, and source artifacts.",
787
  "exists": true,
788
+ "bytes": 8500,
789
+ "sha256": "2347b06517a9b43e78769ba97cc2da4bafaf1bffd6ebcffa8a07508093ca2059"
790
  },
791
  {
792
  "id": "task_method_20_gap_audit",
 
794
  "path": "TASK_METHOD_20_GAP_AUDIT.md",
795
  "kind": "evaluation_protocol",
796
  "surface": "repo_hf",
797
+ "shows": "Reader-facing ledger confirming 180/180 scored method-task cells and listing the six compact-proxy records separately.",
798
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799
+ "bytes": 3417,
800
+ "sha256": "1f3db1cacb53a26be98aeb71ac4ab9e9319ed7ad823b882d9c99b20ec9615626"
801
  },
802
  {
803
  "id": "unified_task_model_radar_chart",
 
807
  "surface": "website_hf",
808
  "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
809
  "exists": true,
810
+ "bytes": 57937,
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812
  },
813
  {
814
  "id": "single_episode_task_model_radar_chart",
 
818
  "surface": "website_hf",
819
  "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
820
  "exists": true,
821
+ "bytes": 35232,
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+ "sha256": "81fbda592ae9a79e80c50ff787b405899fec8c249f2def6bf67b6bff132cdc92"
823
  },
824
  {
825
  "id": "episode128_task_model_radar_chart",
 
829
  "surface": "website_hf",
830
  "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
831
  "exists": true,
832
+ "bytes": 51907,
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834
  },
835
  {
836
  "id": "unified_task_model_radar_builder",
 
840
  "surface": "repo_hf",
841
  "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
842
  "exists": true,
843
+ "bytes": 67953,
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+ "sha256": "3533f33e52af60edf49b1c1fa586d2b8c158e3925875ca46c38714018e6035a0"
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847
  "id": "task_method_20_gap_audit_builder",
 
849
  "path": "scripts/build_task_method_20_gap_audit.py",
850
  "kind": "publication_workflow",
851
  "surface": "repo_hf",
852
+ "shows": "Regenerates the public completion/proxy audit from the 9-method by 20-task matrix without inventing unsupported scores.",
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  "exists": true,
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+ "bytes": 10295,
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+ "sha256": "e2a3b41d3cca6efee7076b68c35693a4c53f5f2549e2eecbf035b98a717a3f65"
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  },
857
  {
858
  "id": "all_task_model_scoring_waiter",
 
1137
  "surface": "repo_hf",
1138
  "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, model-branch repos, evidence layers, and claim boundaries.",
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  "exists": true,
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+ "bytes": 4892,
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+ "sha256": "d1121455dbd547a5f6111c8ec0edc3380586d824c853dff521ef640d872ae1fb"
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  },
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  {
1144
  "id": "public_reader_map_json",
 
1148
  "surface": "website_hf",
1149
  "shows": "Machine-readable public reader map used by the website and Hugging Face mirrors to keep entry points and surface responsibilities explicit.",
1150
  "exists": true,
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+ "bytes": 5906,
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+ "sha256": "4a229fc7f084dbaab14bf11e00e5128d0b73dd074fafbbd732b8b0cbf92c01df"
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  },
1154
  {
1155
  "id": "public_surface_qa_json",
 
1160
  "volatile": true,
1161
  "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
1162
  "exists": true,
1163
+ "bytes": 7208,
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  "hash_policy": "existence_and_size_only"
1165
  },
1166
  {
 
1171
  "surface": "repo_hf",
1172
  "shows": "Regenerates the public presentation report before release.",
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  "exists": true,
1174
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+ "sha256": "a0f7ff659de9f7c46c65f859c0c7595a5e42c54007858c21b89b13ef670c79f3"
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  },
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  {
1178
  "id": "task_surface_integrity",
 
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  "surface": "repo_hf",
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  "shows": "Generates the selective artifact catalog from local files.",
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+ "bytes": 66058,
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1290
  },
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  {
1292
  "id": "publication_audit",
 
1321
  "volatile": true,
1322
  "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
1323
  "exists": true,
1324
+ "bytes": 1392513,
1325
  "hash_policy": "existence_and_size_only"
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  },
1327
  {
 
1333
  "volatile": true,
1334
  "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
1335
  "exists": true,
1336
+ "bytes": 20022,
1337
  "hash_policy": "existence_and_size_only"
1338
  },
1339
  {
 
1344
  "surface": "website_hf",
1345
  "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
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  "exists": true,
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+ "bytes": 5774,
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+ "sha256": "8da6063de9e0b888089aa62daac6d323057dd80247b8f38be5fbce0b370ef6ac"
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  {
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  "id": "task_summary",
metrics/episode128_task_model_radar.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "title": "128-Episode 20-Task Radar",
3
  "status": "pass",
4
- "generated_at_utc": "2026-06-20T18:43:29+00:00",
5
  "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
6
  "task_count": 20,
7
  "method_count": 7,
@@ -11,7 +11,7 @@
11
  "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
12
  "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
13
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
14
- "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
15
  "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
16
  "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
17
  "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
 
1
  {
2
  "title": "128-Episode 20-Task Radar",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T19:54:37+00:00",
5
  "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
6
  "task_count": 20,
7
  "method_count": 7,
 
11
  "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
12
  "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
13
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
14
+ "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
15
  "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
16
  "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
17
  "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
metrics/mirror_parity.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "status": "pass",
3
- "generated_at_utc": "2026-06-20T19:34:07+00:00",
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  "hf_root": "hf_publish",
5
  "summary": {
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  "group_count": 1234,
@@ -138,45 +138,45 @@
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  "local": {
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  "path": "repo:docs/data/artifact_index.json",
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  "exists": true,
141
- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  },
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  "mirrors": {
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  "hf_space": {
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  "path": "hf_space:data/artifact_index.json",
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  "exists": true,
148
- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  },
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  "hf_artifacts_data": {
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  "path": "hf_artifacts:data/artifact_index.json",
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  "exists": true,
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- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  },
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  "hf_artifacts": {
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  "path": "hf_artifacts:docs/data/artifact_index.json",
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  "exists": true,
160
- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  },
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  "hf_model_data": {
164
  "path": "hf_model:data/artifact_index.json",
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  "exists": true,
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- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  "hf_model_docs_data": {
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  "path": "hf_model:docs/data/artifact_index.json",
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  "exists": true,
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- "bytes": 121559,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  },
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  "hf_model": {
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  "path": "hf_model:metrics/artifact_index.json",
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  "exists": true,
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- "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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  }
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  },
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  "failures": []
@@ -873,45 +873,45 @@
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  "mirrors": {
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  "path": "hf_space:data/project_status.json",
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- "bytes": 22080,
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  },
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  "hf_artifacts_data": {
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  "path": "hf_artifacts:data/project_status.json",
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- "bytes": 22080,
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  },
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  "hf_artifacts": {
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  "path": "hf_artifacts:docs/data/project_status.json",
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895
- "bytes": 22080,
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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899
  "path": "hf_model:data/project_status.json",
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  "hf_model_docs_data": {
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  "path": "hf_model:docs/data/project_status.json",
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  "path": "hf_model:metrics/project_status.json",
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- "bytes": 22080,
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- "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
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  },
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  "failures": []
@@ -923,44 +923,44 @@
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  "path": "repo:docs/data/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  },
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  "mirrors": {
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  "hf_space": {
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  "path": "hf_space:data/publication_audit.json",
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  "exists": true,
932
  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  },
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  "hf_artifacts_data": {
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  "path": "hf_artifacts:data/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  },
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  "hf_artifacts": {
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  "path": "hf_artifacts:docs/data/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  "hf_model_data": {
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  "path": "hf_model:data/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  },
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  "hf_model_docs_data": {
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  "path": "hf_model:docs/data/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  "hf_model": {
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  "path": "hf_model:metrics/publication_audit.json",
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  "exists": true,
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  "bytes": 10502,
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- "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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  }
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metrics/project_status.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Project Status",
3
- "version": "2026-06-14",
4
  "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
5
  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
6
  "scope_boundary": {
@@ -46,7 +46,11 @@
46
  "val": 512,
47
  "test": 448
48
  },
49
- "multi_episode_128_baseline_task_count": 12,
 
 
 
 
50
  "qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
51
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52
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@@ -84,6 +88,17 @@
84
  ],
85
  "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
86
  },
 
 
 
 
 
 
 
 
 
 
 
87
  {
88
  "area": "Neural heads",
89
  "status": "verified",
@@ -324,7 +339,8 @@
324
  "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
325
  "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
326
  "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
327
- "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md before comparing simple/NN baselines to the selected 128-episode setup.",
 
328
  "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
329
  "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
330
  "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."
 
1
  {
2
  "title": "Ropedia Xperience-10M Task Suite Project Status",
3
+ "version": "2026-06-20",
4
  "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
5
  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
6
  "scope_boundary": {
 
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47
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48
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49
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50
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+ "task_method_matrix_proxy_scored_count": 6,
54
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55
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56
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89
  "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
90
  },
91
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92
+ "area": "180-result method matrix",
93
+ "status": "verified_complete",
94
+ "evidence": [
95
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96
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98
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99
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100
+ "readout": "The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target."
101
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102
  {
103
  "area": "Neural heads",
104
  "status": "verified",
 
339
  "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
340
  "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
341
  "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
342
+ "Inspect docs/data/task_method_20_result_matrix.json and TASK_METHOD_20_RESULT_MATRIX.md before comparing the 180 scored method-task records.",
343
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344
  "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
345
  "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
346
  "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."
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3
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@@ -48,7 +48,7 @@
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51
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54
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3
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5
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48
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52
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54
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metrics/scope_claims_audit.json CHANGED
@@ -1,6 +1,6 @@
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4
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5
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6
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  {
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4
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6
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metrics/single_episode_task_model_radar.json CHANGED
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3
  "status": "pass",
4
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5
  "description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
6
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7
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@@ -11,7 +11,7 @@
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12
  "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
13
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
14
- "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
15
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17
  "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
 
1
  {
2
  "title": "Single-Episode 20-Task Radar",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T19:54:37+00:00",
5
  "description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
6
  "task_count": 20,
7
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11
  "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
12
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13
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
14
+ "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
15
  "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
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@@ -1,7 +1,7 @@
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  {
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  "title": "Ropedia Xperience-10M Source Alignment Note",
3
  "status": "pass",
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6
  "alignment_summary": {
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1
  {
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3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T19:55:18+00:00",
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7
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metrics/task_method_20_gap_audit.json CHANGED
@@ -1,20 +1,20 @@
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6
  "id": "gap_audit",
7
- "purpose": "Keep the 0 scoreless cells visible and reproducible."
8
  },
9
  {
10
  "artifact": "scripts/omni/score_model_output_probes.py",
11
  "id": "model_output_probe",
12
- "purpose": "Check whether train/validation/test model outputs exist before attempting all-task Qwen3/Cosmos scoring."
13
  },
14
  {
15
  "artifact": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
16
  "id": "guarded_gpu_launcher",
17
- "purpose": "Start a user-provided all-task scoring command only after enough private GPU capacity is idle."
18
  }
19
  ],
20
  "methods": {
@@ -210,7 +210,7 @@
210
  "target_policy": {
211
  "numeric_score_gate": "A method-task cell is numeric only when a runner or verified package emits that exact task target and metric.",
212
  "proxy_policy": "Proxy scores are allowed only when the matrix marks them as proxy_scored and keeps the reason/source attached.",
213
- "scoreless_cell_policy": "Unsupported and not-evaluated cells stay explicit in the public matrix instead of being hidden or backfilled with proxy model claims."
214
  },
215
- "title": "Task Method 20-Result Gap Audit"
216
  }
 
1
  {
2
+ "generated_at_utc": "2026-06-20T19:54:37+00:00",
3
  "immediate_actions": [
4
  {
5
  "artifact": "docs/data/task_method_20_gap_audit.json",
6
  "id": "gap_audit",
7
+ "purpose": "Verify the 180/180 scored result records and keep proxy flags reproducible."
8
  },
9
  {
10
  "artifact": "scripts/omni/score_model_output_probes.py",
11
  "id": "model_output_probe",
12
+ "purpose": "Rescore verified model-output probes when new held-out artifacts arrive without fabricating unsupported cells."
13
  },
14
  {
15
  "artifact": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
16
  "id": "guarded_gpu_launcher",
17
+ "purpose": "Launch future replacement scoring runs only after enough private GPU capacity is idle."
18
  }
19
  ],
20
  "methods": {
 
210
  "target_policy": {
211
  "numeric_score_gate": "A method-task cell is numeric only when a runner or verified package emits that exact task target and metric.",
212
  "proxy_policy": "Proxy scores are allowed only when the matrix marks them as proxy_scored and keeps the reason/source attached.",
213
+ "scoreless_cell_policy": "If future unsupported or not-evaluated cells appear, they must stay explicit in the public matrix instead of being hidden or backfilled with proxy model claims. The current release has zero scoreless cells."
214
  },
215
+ "title": "Task Method 20-Result Completion Audit"
216
  }
metrics/task_method_20_result_matrix.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "title": "Task Method 20-Result Matrix",
3
  "status": "pass",
4
- "generated_at_utc": "2026-06-20T18:43:29+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
 
1
  {
2
  "title": "Task Method 20-Result Matrix",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T19:54:37+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
metrics/task_surface_integrity.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "pass",
3
- "generated_at_utc": "2026-06-20T18:44:50+00:00",
4
  "summary": {
5
  "task_count": 12,
6
  "expected_task_count": 12,
 
1
  {
2
  "status": "pass",
3
+ "generated_at_utc": "2026-06-20T19:55:17+00:00",
4
  "summary": {
5
  "task_count": 12,
6
  "expected_task_count": 12,
metrics/unified_task_model_radar.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "title": "Unified 20-Task Model Radar",
3
  "status": "pass",
4
- "generated_at_utc": "2026-06-20T18:43:29+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
@@ -10,7 +10,7 @@
10
  "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
11
  "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
12
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
13
- "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
14
  "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
15
  "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
16
  "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
 
1
  {
2
  "title": "Unified 20-Task Model Radar",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T19:54:37+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
 
10
  "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
11
  "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
12
  "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
13
+ "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
14
  "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
15
  "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
16
  "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
metrics/website_integrity.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "pass",
3
- "generated_at_utc": "2026-06-20T19:39:18+00:00",
4
  "docs_root": "docs",
5
  "site_base": "/ropedia-xperience-10m-task-suite/",
6
  "summary": {
@@ -80,8 +80,8 @@
80
  "name": "project_overview_precedes_progress_ledger",
81
  "status": "pass",
82
  "reason": "The project overview should appear before the deeper progress ledger.",
83
- "overview_index": 95828,
84
- "evidence_index": 132438
85
  },
86
  {
87
  "name": "project_status_links_json",
@@ -159,9 +159,9 @@
159
  "name": "evaluation_protocol_between_overview_and_progress",
160
  "status": "pass",
161
  "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
162
- "overview_index": 95828,
163
- "protocol_index": 128619,
164
- "evidence_index": 132438
165
  },
166
  {
167
  "name": "evaluation_protocol_links_json",
@@ -301,7 +301,7 @@
301
  },
302
  {
303
  "path": "data/artifact_index.json",
304
- "bytes": 121559,
305
  "top_level_type": "dict"
306
  },
307
  {
@@ -316,7 +316,7 @@
316
  },
317
  {
318
  "path": "data/episode128_task_model_radar.json",
319
- "bytes": 184856,
320
  "top_level_type": "dict"
321
  },
322
  {
@@ -386,7 +386,7 @@
386
  },
387
  {
388
  "path": "data/project_status.json",
389
- "bytes": 22080,
390
  "top_level_type": "dict"
391
  },
392
  {
@@ -471,7 +471,7 @@
471
  },
472
  {
473
  "path": "data/single_episode_task_model_radar.json",
474
- "bytes": 51064,
475
  "top_level_type": "dict"
476
  },
477
  {
@@ -486,7 +486,7 @@
486
  },
487
  {
488
  "path": "data/task_method_20_gap_audit.json",
489
- "bytes": 8399,
490
  "top_level_type": "dict"
491
  },
492
  {
@@ -526,7 +526,7 @@
526
  },
527
  {
528
  "path": "data/unified_task_model_radar.json",
529
- "bytes": 228710,
530
  "top_level_type": "dict"
531
  },
532
  {
@@ -571,7 +571,7 @@
571
  {
572
  "path": "assets/charts/episode128_task_model_radar.svg",
573
  "exists": true,
574
- "bytes": 51945,
575
  "format": "SVG",
576
  "has_viewbox": true
577
  },
@@ -627,7 +627,7 @@
627
  {
628
  "path": "assets/charts/single_episode_task_model_radar.svg",
629
  "exists": true,
630
- "bytes": 35229,
631
  "format": "SVG",
632
  "has_viewbox": true
633
  },
@@ -641,7 +641,7 @@
641
  {
642
  "path": "assets/charts/unified_task_model_radar.svg",
643
  "exists": true,
644
- "bytes": 57959,
645
  "format": "SVG",
646
  "has_viewbox": true
647
  },
 
1
  {
2
  "status": "pass",
3
+ "generated_at_utc": "2026-06-20T19:55:48+00:00",
4
  "docs_root": "docs",
5
  "site_base": "/ropedia-xperience-10m-task-suite/",
6
  "summary": {
 
80
  "name": "project_overview_precedes_progress_ledger",
81
  "status": "pass",
82
  "reason": "The project overview should appear before the deeper progress ledger.",
83
+ "overview_index": 95783,
84
+ "evidence_index": 132423
85
  },
86
  {
87
  "name": "project_status_links_json",
 
159
  "name": "evaluation_protocol_between_overview_and_progress",
160
  "status": "pass",
161
  "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
162
+ "overview_index": 95783,
163
+ "protocol_index": 128604,
164
+ "evidence_index": 132423
165
  },
166
  {
167
  "name": "evaluation_protocol_links_json",
 
301
  },
302
  {
303
  "path": "data/artifact_index.json",
304
+ "bytes": 121435,
305
  "top_level_type": "dict"
306
  },
307
  {
 
316
  },
317
  {
318
  "path": "data/episode128_task_model_radar.json",
319
+ "bytes": 184889,
320
  "top_level_type": "dict"
321
  },
322
  {
 
386
  },
387
  {
388
  "path": "data/project_status.json",
389
+ "bytes": 23041,
390
  "top_level_type": "dict"
391
  },
392
  {
 
471
  },
472
  {
473
  "path": "data/single_episode_task_model_radar.json",
474
+ "bytes": 51097,
475
  "top_level_type": "dict"
476
  },
477
  {
 
486
  },
487
  {
488
  "path": "data/task_method_20_gap_audit.json",
489
+ "bytes": 8500,
490
  "top_level_type": "dict"
491
  },
492
  {
 
526
  },
527
  {
528
  "path": "data/unified_task_model_radar.json",
529
+ "bytes": 228743,
530
  "top_level_type": "dict"
531
  },
532
  {
 
571
  {
572
  "path": "assets/charts/episode128_task_model_radar.svg",
573
  "exists": true,
574
+ "bytes": 51907,
575
  "format": "SVG",
576
  "has_viewbox": true
577
  },
 
627
  {
628
  "path": "assets/charts/single_episode_task_model_radar.svg",
629
  "exists": true,
630
+ "bytes": 35232,
631
  "format": "SVG",
632
  "has_viewbox": true
633
  },
 
641
  {
642
  "path": "assets/charts/unified_task_model_radar.svg",
643
  "exists": true,
644
+ "bytes": 57937,
645
  "format": "SVG",
646
  "has_viewbox": true
647
  },