Datasets:
Refresh foundation slides and 146-cell matrix
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- TASK_METHOD_20_GAP_AUDIT.md +5 -6
- TASK_METHOD_20_RESULT_MATRIX.md +2 -2
- THREE_FOUNDATION_PIPELINES.md +8 -7
- assets/charts/episode128_task_model_radar.svg +9 -7
- assets/charts/unified_task_model_radar.svg +8 -6
- assets/foundation-pipelines/README.md +3 -2
- assets/foundation-pipelines/prompts.md +2 -2
- data/artifact_index.json +34 -34
- data/episode128_task_model_radar.json +52 -52
- data/figure_index.json +7 -7
- data/mirror_parity.json +253 -203
- data/public_surface_qa.json +6 -6
- data/publication_audit.json +7 -7
- data/quality_gates.json +1 -1
- data/research_roadmap_interactive.json +1 -1
- data/single_episode_task_model_radar.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_method_20_gap_audit.json +16 -44
- data/task_method_20_result_matrix.json +36 -36
- data/task_surface_integrity.json +1 -1
- data/three_foundation_pipelines.json +1 -1
- data/unified_task_model_radar.json +60 -60
- data/website_integrity.json +12 -12
- docs/assets/charts/episode128_task_model_radar.svg +6 -5
- docs/assets/charts/unified_task_model_radar.svg +5 -4
- docs/assets/foundation-pipelines/README.md +3 -2
- docs/assets/foundation-pipelines/prompts.md +2 -2
- docs/data/artifact_index.json +33 -33
- docs/data/episode128_task_model_radar.json +27 -27
- docs/data/figure_index.json +7 -7
- docs/data/public_surface_qa.json +6 -6
- docs/data/publication_audit.json +7 -7
- docs/data/quality_gates.json +1 -1
- docs/data/research_roadmap_interactive.json +1 -1
- docs/data/single_episode_task_model_radar.json +1 -1
- docs/data/source_alignment_audit.json +1 -1
- docs/data/task_method_20_gap_audit.json +10 -24
- docs/data/task_method_20_result_matrix.json +19 -19
- docs/data/task_surface_integrity.json +1 -1
- docs/data/three_foundation_pipelines.json +1 -1
- docs/data/unified_task_model_radar.json +31 -31
- docs/data/website_integrity.json +9 -9
- docs/index.html +3 -3
- index.html +5 -5
- results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md +2 -2
- results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json +1 -1
- results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json +1 -1
- results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json +1 -1
- results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json +25 -0
- results/omni_finetune/model_output_task_probes_20260616/summary.json +10 -2
TASK_METHOD_20_GAP_AUDIT.md
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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## Score Summary
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- Method-task records: `180`
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- Numeric scored records: `
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- Scoreless records: `
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- Proxy-scored records: `4`
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- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
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| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 8/20 | 12 | 0 | not_evaluated_in_verified_package: 12, scored: 8 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package |
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| not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 09 | Cross-Modal Retrieval | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 10 | Cross-Modal Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 10 | Cross-Modal Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 10 | Cross-Modal Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 11 | Temporal Order Verification | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 11 | Temporal Order Verification | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-18T16:37:05+00:00`
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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## Score Summary
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- Method-task records: `180`
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- Numeric scored records: `146`
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- Scoreless records: `34`
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- Proxy-scored records: `4`
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- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
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| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 8/20 | 12 | 0 | not_evaluated_in_verified_package: 12, scored: 8 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 7/20 | 13 | 0 | not_evaluated_in_verified_package: 13, scored: 7 |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package | 30 | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 09 | Cross-Modal Retrieval | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 10 | Cross-Modal Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 10 | Cross-Modal Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 11 | Temporal Order Verification | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 11 | Temporal Order Verification | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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TASK_METHOD_20_RESULT_MATRIX.md
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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| Cosmos3-Super Reasoner | 20 | 8 | 0 | 12 | not evaluated 12, scored 8 |
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| Cosmos3-Nano Future Window | 20 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| ---: | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 08 | Language Grounding | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score | not evaluated | score |
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| 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | not evaluated | not evaluated |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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| Cosmos3-Super Reasoner | 20 | 8 | 0 | 12 | not evaluated 12, scored 8 |
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| Cosmos3-Nano Future Window | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| ---: | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 08 | Language Grounding | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score | not evaluated | score |
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| 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | not evaluated | not evaluated | score |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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THREE_FOUNDATION_PIPELINES.md
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## Published Direction Photos
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The repo and public mirrors
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modeling
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evidence of completed model-quality training. The exact technical scope remains
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the text and JSON contract in this document and
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`docs/data/three_foundation_pipelines.json`.
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## Published Direction Photos
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The repo and public mirrors include three high-resolution direction images from
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the original direction slides. Spatial intelligence and human-video world
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modeling use the clean high-resolution slide PNGs supplied for publication and
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are exported as 2560-pixel public assets. The 2026-06-19 refresh verified the
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latest two clean PNGs as byte-identical to the committed source-slide cache. The
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VLA card stays on the restored original presentation-photo source because the
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third uploaded image duplicates the Spatial intelligence slide. They are
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communication assets, not
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evidence of completed model-quality training. The exact technical scope remains
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the text and JSON contract in this document and
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`docs/data/three_foundation_pipelines.json`.
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assets/charts/episode128_task_model_radar.svg
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assets/charts/unified_task_model_radar.svg
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assets/foundation-pipelines/README.md
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They replace the earlier concept-art images and keep the public visuals tied to
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the original direction slides. Spatial intelligence and human-video world
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modeling use the clean slide PNGs supplied for publication
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They are still **pipeline communication assets**, not evidence of completed
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foundation-model quality. Exact technical claims live in the surrounding
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Markdown, JSON, and website labels.
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They replace the earlier concept-art images and keep the public visuals tied to
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the original direction slides. Spatial intelligence and human-video world
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modeling use the clean slide PNGs supplied for publication and are exported as
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2560-pixel public assets; VLA stays on the restored original presentation-photo
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source until a matching clean VLA slide PNG is supplied.
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They are still **pipeline communication assets**, not evidence of completed
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foundation-model quality. Exact technical claims live in the surrounding
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Markdown, JSON, and website labels.
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assets/foundation-pipelines/prompts.md
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the project owner. The filename is kept as `prompts.md` because older public
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manifests and mirrors already link here as the provenance note.
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Update on 2026-06-
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Human-video world model PNGs are byte-identical to the committed source-slide
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cache and are published as 2560-pixel public images. The third uploaded image
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continues to use the restored original presentation photo until a clean VLA
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slide PNG is supplied.
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the project owner. The filename is kept as `prompts.md` because older public
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manifests and mirrors already link here as the provenance note.
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Update on 2026-06-19: the latest supplied clean Spatial intelligence and
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Human-video world model PNGs are byte-identical to the committed source-slide
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cache and are published as 2560-pixel public images. The third uploaded image
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duplicates the Spatial intelligence PNG, so the Vision-language-action card
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continues to use the restored original presentation photo until a clean VLA
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slide PNG is supplied.
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data/artifact_index.json
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-
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"status": "pass",
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"artifact_count": 213,
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"surface": "repo_hf",
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"shows": "Frames spatial intelligence, human-video world modeling, and vision-language-action as three pipeline tracks with explicit inputs, outputs, maturity, and next evidence gates.",
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"surface": "website_hf",
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"shows": "Machine-readable pipeline-track contract for the website and Hugging Face mirrors.",
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
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"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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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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| 820 |
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@@ -829,8 +829,8 @@
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| 829 |
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| 888 |
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@@ -1028,7 +1028,7 @@
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| 1028 |
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| 1029 |
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| 1111 |
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@@ -1286,7 +1286,7 @@
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| 1286 |
"volatile": true,
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| 1287 |
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| 1292 |
{
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@@ -1310,7 +1310,7 @@
|
|
| 1310 |
"volatile": true,
|
| 1311 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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| 1312 |
"exists": true,
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| 1313 |
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"bytes":
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| 1316 |
{
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| 1322 |
"volatile": true,
|
| 1323 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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| 1324 |
"exists": true,
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{
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-18T16:39:29+00:00",
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| 4 |
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| 136 |
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| 138 |
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| 142 |
{
|
| 143 |
"id": "three_foundation_pipelines_json",
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|
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|
| 147 |
"surface": "website_hf",
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| 148 |
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| 149 |
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"bytes": 10531,
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{
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"id": "spatial_intelligence_slide_diagram",
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| 599 |
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| 600 |
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| 605 |
"id": "source_alignment_validator",
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| 719 |
"surface": "website_hf",
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| 720 |
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| 741 |
"surface": "website_hf",
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| 752 |
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"id": "single_episode_task_model_radar_chart",
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| 818 |
"surface": "website_hf",
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| 819 |
"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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| 884 |
"surface": "repo_hf",
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{
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{
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| 1286 |
"volatile": true,
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"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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| 1292 |
{
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| 1310 |
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| 1311 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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{
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| 1322 |
"volatile": true,
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"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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{
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data/episode128_task_model_radar.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 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,
|
| 8 |
"method_task_record_count": 140,
|
| 9 |
-
"scored_method_task_count":
|
| 10 |
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|
| 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",
|
|
@@ -147,20 +147,20 @@
|
|
| 147 |
"kind": "partial_128_episode_foundation_model_overlay",
|
| 148 |
"scope": "128 selected episodes, held-out test",
|
| 149 |
"stroke_dasharray": "4 7",
|
| 150 |
-
"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 scored from existing verified
|
| 151 |
"plotted_as": "colored point overlay",
|
| 152 |
"result_record_count": 20,
|
| 153 |
-
"scored_task_count":
|
| 154 |
-
"covered_task_count":
|
| 155 |
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|
| 156 |
-
"scoreless_task_count":
|
| 157 |
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|
| 158 |
-
"not_evaluated_task_count":
|
| 159 |
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|
| 160 |
-
"not_evaluated_in_verified_package":
|
| 161 |
-
"scored":
|
| 162 |
},
|
| 163 |
-
"coverage_fraction": 0.
|
| 164 |
"result_record_fraction": 1.0
|
| 165 |
},
|
| 166 |
{
|
|
@@ -171,20 +171,20 @@
|
|
| 171 |
"kind": "partial_128_episode_world_model_overlay",
|
| 172 |
"scope": "128 selected episodes, held-out test",
|
| 173 |
"stroke_dasharray": "2 7",
|
| 174 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 13 scored from existing held-out future-
|
| 175 |
"plotted_as": "colored point overlay",
|
| 176 |
"result_record_count": 20,
|
| 177 |
-
"scored_task_count":
|
| 178 |
-
"covered_task_count":
|
| 179 |
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|
| 180 |
-
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| 181 |
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|
| 182 |
-
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|
| 183 |
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|
| 184 |
-
"not_evaluated_in_verified_package":
|
| 185 |
-
"scored":
|
| 186 |
},
|
| 187 |
-
"coverage_fraction": 0.
|
| 188 |
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|
| 189 |
}
|
| 190 |
],
|
|
@@ -1087,15 +1087,15 @@
|
|
| 1087 |
"status_label": "not evaluated"
|
| 1088 |
},
|
| 1089 |
"cosmos3_nano_future_window": {
|
| 1090 |
-
"raw":
|
| 1091 |
-
"metric_key": "
|
| 1092 |
-
"source":
|
| 1093 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1094 |
-
"status": "
|
| 1095 |
-
"reason":
|
| 1096 |
-
"normalized_score":
|
| 1097 |
-
"raw_text": "
|
| 1098 |
-
"status_label": "
|
| 1099 |
}
|
| 1100 |
}
|
| 1101 |
},
|
|
@@ -1986,15 +1986,15 @@
|
|
| 1986 |
"status_label": "scored"
|
| 1987 |
},
|
| 1988 |
"cosmos3_super_reasoner": {
|
| 1989 |
-
"raw":
|
| 1990 |
-
"metric_key": "
|
| 1991 |
-
"source":
|
| 1992 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1993 |
-
"status": "
|
| 1994 |
-
"reason":
|
| 1995 |
-
"normalized_score":
|
| 1996 |
-
"raw_text": "
|
| 1997 |
-
"status_label": "
|
| 1998 |
},
|
| 1999 |
"cosmos3_nano_future_window": {
|
| 2000 |
"raw": null,
|
|
@@ -3259,17 +3259,17 @@
|
|
| 3259 |
"task_label": "Cross-Modal Reconstruction",
|
| 3260 |
"series_id": "cosmos3_nano_future_window",
|
| 3261 |
"method": "Cosmos3-Nano Future Window",
|
| 3262 |
-
"status": "
|
| 3263 |
-
"status_label": "
|
| 3264 |
-
"scored":
|
| 3265 |
"proxy_scored": false,
|
| 3266 |
-
"raw":
|
| 3267 |
-
"raw_text": "
|
| 3268 |
-
"normalized_score":
|
| 3269 |
-
"metric_key": "
|
| 3270 |
-
"source":
|
| 3271 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3272 |
-
"reason":
|
| 3273 |
},
|
| 3274 |
{
|
| 3275 |
"task_number": 11,
|
|
@@ -4501,17 +4501,17 @@
|
|
| 4501 |
"task_label": "Time-to-Next-Transition Regression",
|
| 4502 |
"series_id": "cosmos3_super_reasoner",
|
| 4503 |
"method": "Cosmos3-Super Reasoner",
|
| 4504 |
-
"status": "
|
| 4505 |
-
"status_label": "
|
| 4506 |
-
"scored":
|
| 4507 |
"proxy_scored": false,
|
| 4508 |
-
"raw":
|
| 4509 |
-
"raw_text": "
|
| 4510 |
-
"normalized_score":
|
| 4511 |
-
"metric_key": "
|
| 4512 |
-
"source":
|
| 4513 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4514 |
-
"reason":
|
| 4515 |
},
|
| 4516 |
{
|
| 4517 |
"task_number": 20,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:36:15+00:00",
|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
|
| 147 |
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|
| 148 |
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| 149 |
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|
| 150 |
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"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
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| 151 |
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| 152 |
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| 160 |
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|
| 162 |
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| 163 |
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|
| 164 |
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|
| 165 |
},
|
| 166 |
{
|
|
|
|
| 171 |
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|
| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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|
| 190 |
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|
| 1087 |
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|
| 1088 |
},
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| 1089 |
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|
| 1090 |
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| 1091 |
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| 1092 |
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| 1093 |
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| 1094 |
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| 1095 |
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| 1096 |
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| 1099 |
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|
| 1100 |
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|
| 1101 |
},
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|
|
|
| 1986 |
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|
| 1987 |
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| 1988 |
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|
| 1989 |
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|
| 1990 |
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| 1991 |
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"source": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json",
|
| 1992 |
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|
| 1993 |
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|
| 1994 |
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|
| 1995 |
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| 1996 |
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| 1997 |
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|
| 1998 |
},
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| 1999 |
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|
| 2000 |
"raw": null,
|
|
|
|
| 3259 |
"task_label": "Cross-Modal Reconstruction",
|
| 3260 |
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|
| 3261 |
"method": "Cosmos3-Nano Future Window",
|
| 3262 |
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| 3263 |
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|
| 3264 |
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|
| 3269 |
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| 3270 |
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"source": "results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json",
|
| 3271 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3272 |
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|
| 3273 |
},
|
| 3274 |
{
|
| 3275 |
"task_number": 11,
|
|
|
|
| 4501 |
"task_label": "Time-to-Next-Transition Regression",
|
| 4502 |
"series_id": "cosmos3_super_reasoner",
|
| 4503 |
"method": "Cosmos3-Super Reasoner",
|
| 4504 |
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| 4505 |
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| 4506 |
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| 4507 |
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| 4508 |
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| 4509 |
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| 4510 |
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"normalized_score": 0.19901920981190058,
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| 4511 |
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"metric_key": "time_to_transition_mae",
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| 4512 |
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|
| 4513 |
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| 4514 |
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"reason": null
|
| 4515 |
},
|
| 4516 |
{
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| 4517 |
"task_number": 20,
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data/figure_index.json
CHANGED
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@@ -1,7 +1,7 @@
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| 1 |
{
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| 2 |
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| 3 |
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|
@@ -64,8 +64,8 @@
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|
| 64 |
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|
| 65 |
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| 66 |
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| 411 |
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| 417 |
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| 446 |
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| 447 |
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{
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| 3 |
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|
| 64 |
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| 71 |
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| 410 |
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| 411 |
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| 412 |
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| 417 |
"width": 2400,
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| 446 |
"source_script": "scripts/build_unified_task_model_radar.py",
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| 447 |
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| 448 |
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| 449 |
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data/mirror_parity.json
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@@ -1,9 +1,9 @@
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{
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| 2 |
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| 930 |
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| 948 |
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data/public_surface_qa.json
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| 18 |
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| 19 |
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data/publication_audit.json
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@@ -215,8 +215,8 @@
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| 215 |
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| 216 |
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| 217 |
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| 244 |
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|
@@ -248,8 +248,8 @@
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| 248 |
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| 249 |
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| 250 |
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| 255 |
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| 2 |
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| 4 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 222 |
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| 237 |
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| 244 |
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| 255 |
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data/quality_gates.json
CHANGED
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@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
{
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|
| 1 |
{
|
| 2 |
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|
| 3 |
"status": "pass",
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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data/research_roadmap_interactive.json
CHANGED
|
@@ -2222,7 +2222,7 @@
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|
| 2222 |
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|
| 2223 |
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|
| 2224 |
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| 2225 |
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|
| 2226 |
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| 2227 |
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|
| 2228 |
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|
|
|
| 2222 |
],
|
| 2223 |
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|
| 2224 |
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| 2225 |
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| 2226 |
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| 2227 |
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|
| 2228 |
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|
data/single_episode_task_model_radar.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 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 |
"method_count": 2,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:36:15+00:00",
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
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| 6 |
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|
| 7 |
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|
data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
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| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:38:43+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
data/task_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
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|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-
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| 3 |
"immediate_actions": [
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| 4 |
{
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| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
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| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
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| 8 |
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| 9 |
{
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| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
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|
@@ -24,11 +24,11 @@
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|
| 24 |
"proxy_scored_task_count": 0,
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| 25 |
"result_record_count": 20,
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| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
-
"scored_task_count":
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| 28 |
-
"scoreless_task_count":
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"status_counts": {
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| 30 |
-
"not_evaluated_in_verified_package":
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| 31 |
-
"scored":
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| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
@@ -37,11 +37,11 @@
|
|
| 37 |
"proxy_scored_task_count": 0,
|
| 38 |
"result_record_count": 20,
|
| 39 |
"scope": "128 selected episodes, held-out test",
|
| 40 |
-
"scored_task_count":
|
| 41 |
-
"scoreless_task_count":
|
| 42 |
"status_counts": {
|
| 43 |
-
"not_evaluated_in_verified_package":
|
| 44 |
-
"scored":
|
| 45 |
}
|
| 46 |
},
|
| 47 |
"metadata128_neural_mlp": {
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@@ -135,14 +135,14 @@
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}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
-
"cosmos3_nano_future_window":
|
| 139 |
-
"cosmos3_super_reasoner":
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
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},
|
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"missing_by_status": {
|
| 145 |
-
"not_evaluated_in_verified_package":
|
| 146 |
"not_supported_by_metadata_only_package": 2,
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"unsupported_without_required_target": 2
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},
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@@ -166,7 +166,6 @@
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| 166 |
"cosmos3_super_reasoner"
|
| 167 |
],
|
| 168 |
"10 Cross-Modal Reconstruction": [
|
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-
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| 170 |
"cosmos3_super_reasoner",
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"qwen3_omni_v6_lora"
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],
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@@ -212,8 +211,7 @@
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"qwen3_omni_v6_lora"
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],
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"20 Time-to-Next-Transition Regression": [
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-
"cosmos3_super_reasoner"
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]
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},
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"missing_records": [
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@@ -347,19 +345,6 @@
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"task_label": "Cross-Modal Reconstruction",
|
| 348 |
"task_number": 10
|
| 349 |
},
|
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-
{
|
| 351 |
-
"method": "Cosmos3-Nano Future Window",
|
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-
"metric_key": "r2",
|
| 353 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 354 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
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-
"scope": "multi_episode_128_partial_model_overlay",
|
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-
"series_id": "cosmos3_nano_future_window",
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-
"status": "not_evaluated_in_verified_package",
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-
"status_label": "not evaluated",
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-
"task_id": "modality_reconstruction",
|
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-
"task_label": "Cross-Modal Reconstruction",
|
| 361 |
-
"task_number": 10
|
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-
},
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| 363 |
{
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"method": "Cosmos3-Super Reasoner",
|
| 365 |
"metric_key": "f1",
|
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@@ -659,19 +644,6 @@
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| 659 |
"task_label": "Camera-View Synchronization Retrieval",
|
| 660 |
"task_number": 19
|
| 661 |
},
|
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-
{
|
| 663 |
-
"method": "Cosmos3-Super Reasoner",
|
| 664 |
-
"metric_key": "mae",
|
| 665 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 666 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 667 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 668 |
-
"series_id": "cosmos3_super_reasoner",
|
| 669 |
-
"status": "not_evaluated_in_verified_package",
|
| 670 |
-
"status_label": "not evaluated",
|
| 671 |
-
"task_id": "time_to_transition",
|
| 672 |
-
"task_label": "Time-to-Next-Transition Regression",
|
| 673 |
-
"task_number": 20
|
| 674 |
-
},
|
| 675 |
{
|
| 676 |
"method": "Cosmos3-Nano Future Window",
|
| 677 |
"metric_key": "mae",
|
|
@@ -732,8 +704,8 @@
|
|
| 732 |
"method_count": 9,
|
| 733 |
"method_task_record_count": 180,
|
| 734 |
"proxy_scored_method_task_count": 4,
|
| 735 |
-
"scored_method_task_count":
|
| 736 |
-
"scoreless_method_task_count":
|
| 737 |
"task_count": 20
|
| 738 |
},
|
| 739 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-18T16:37:05+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 34 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
+
"scored_task_count": 7,
|
| 28 |
+
"scoreless_task_count": 13,
|
| 29 |
"status_counts": {
|
| 30 |
+
"not_evaluated_in_verified_package": 13,
|
| 31 |
+
"scored": 7
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
|
|
| 37 |
"proxy_scored_task_count": 0,
|
| 38 |
"result_record_count": 20,
|
| 39 |
"scope": "128 selected episodes, held-out test",
|
| 40 |
+
"scored_task_count": 8,
|
| 41 |
+
"scoreless_task_count": 12,
|
| 42 |
"status_counts": {
|
| 43 |
+
"not_evaluated_in_verified_package": 12,
|
| 44 |
+
"scored": 8
|
| 45 |
}
|
| 46 |
},
|
| 47 |
"metadata128_neural_mlp": {
|
|
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
+
"cosmos3_nano_future_window": 13,
|
| 139 |
+
"cosmos3_super_reasoner": 12,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
+
"not_evaluated_in_verified_package": 30,
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
|
|
| 166 |
"cosmos3_super_reasoner"
|
| 167 |
],
|
| 168 |
"10 Cross-Modal Reconstruction": [
|
|
|
|
| 169 |
"cosmos3_super_reasoner",
|
| 170 |
"qwen3_omni_v6_lora"
|
| 171 |
],
|
|
|
|
| 211 |
"qwen3_omni_v6_lora"
|
| 212 |
],
|
| 213 |
"20 Time-to-Next-Transition Regression": [
|
| 214 |
+
"cosmos3_nano_future_window"
|
|
|
|
| 215 |
]
|
| 216 |
},
|
| 217 |
"missing_records": [
|
|
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| 345 |
"task_label": "Cross-Modal Reconstruction",
|
| 346 |
"task_number": 10
|
| 347 |
},
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| 348 |
{
|
| 349 |
"method": "Cosmos3-Super Reasoner",
|
| 350 |
"metric_key": "f1",
|
|
|
|
| 644 |
"task_label": "Camera-View Synchronization Retrieval",
|
| 645 |
"task_number": 19
|
| 646 |
},
|
|
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|
|
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|
|
|
|
|
| 647 |
{
|
| 648 |
"method": "Cosmos3-Nano Future Window",
|
| 649 |
"metric_key": "mae",
|
|
|
|
| 704 |
"method_count": 9,
|
| 705 |
"method_task_record_count": 180,
|
| 706 |
"proxy_scored_method_task_count": 4,
|
| 707 |
+
"scored_method_task_count": 146,
|
| 708 |
+
"scoreless_method_task_count": 34,
|
| 709 |
"task_count": 20
|
| 710 |
},
|
| 711 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
data/task_method_20_result_matrix.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -181,20 +181,20 @@
|
|
| 181 |
"kind": "partial_128_episode_foundation_model_overlay",
|
| 182 |
"scope": "128 selected episodes, held-out test",
|
| 183 |
"stroke_dasharray": "4 7",
|
| 184 |
-
"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 scored from existing verified
|
| 185 |
"plotted_as": "colored point overlay",
|
| 186 |
"result_record_count": 20,
|
| 187 |
-
"scored_task_count":
|
| 188 |
-
"covered_task_count":
|
| 189 |
"proxy_scored_task_count": 0,
|
| 190 |
-
"scoreless_task_count":
|
| 191 |
"unsupported_task_count": 0,
|
| 192 |
-
"not_evaluated_task_count":
|
| 193 |
"status_counts": {
|
| 194 |
-
"not_evaluated_in_verified_package":
|
| 195 |
-
"scored":
|
| 196 |
},
|
| 197 |
-
"coverage_fraction": 0.
|
| 198 |
"result_record_fraction": 1.0
|
| 199 |
},
|
| 200 |
{
|
|
@@ -205,20 +205,20 @@
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 13 scored from existing held-out future-
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
-
"scored_task_count":
|
| 212 |
-
"covered_task_count":
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
-
"scoreless_task_count":
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
-
"not_evaluated_task_count":
|
| 217 |
"status_counts": {
|
| 218 |
-
"not_evaluated_in_verified_package":
|
| 219 |
-
"scored":
|
| 220 |
},
|
| 221 |
-
"coverage_fraction": 0.
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
@@ -1831,17 +1831,17 @@
|
|
| 1831 |
"task_label": "Cross-Modal Reconstruction",
|
| 1832 |
"series_id": "cosmos3_nano_future_window",
|
| 1833 |
"method": "Cosmos3-Nano Future Window",
|
| 1834 |
-
"status": "
|
| 1835 |
-
"status_label": "
|
| 1836 |
-
"scored":
|
| 1837 |
"proxy_scored": false,
|
| 1838 |
-
"raw":
|
| 1839 |
-
"raw_text": "
|
| 1840 |
-
"normalized_score":
|
| 1841 |
-
"metric_key": "
|
| 1842 |
-
"source":
|
| 1843 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1844 |
-
"reason":
|
| 1845 |
},
|
| 1846 |
{
|
| 1847 |
"task_number": 11,
|
|
@@ -3433,17 +3433,17 @@
|
|
| 3433 |
"task_label": "Time-to-Next-Transition Regression",
|
| 3434 |
"series_id": "cosmos3_super_reasoner",
|
| 3435 |
"method": "Cosmos3-Super Reasoner",
|
| 3436 |
-
"status": "
|
| 3437 |
-
"status_label": "
|
| 3438 |
-
"scored":
|
| 3439 |
"proxy_scored": false,
|
| 3440 |
-
"raw":
|
| 3441 |
-
"raw_text": "
|
| 3442 |
-
"normalized_score":
|
| 3443 |
-
"metric_key": "
|
| 3444 |
-
"source":
|
| 3445 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3446 |
-
"reason":
|
| 3447 |
},
|
| 3448 |
{
|
| 3449 |
"task_number": 20,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:36:15+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 146,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 181 |
"kind": "partial_128_episode_foundation_model_overlay",
|
| 182 |
"scope": "128 selected episodes, held-out test",
|
| 183 |
"stroke_dasharray": "4 7",
|
| 184 |
+
"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
|
| 185 |
"plotted_as": "colored point overlay",
|
| 186 |
"result_record_count": 20,
|
| 187 |
+
"scored_task_count": 8,
|
| 188 |
+
"covered_task_count": 8,
|
| 189 |
"proxy_scored_task_count": 0,
|
| 190 |
+
"scoreless_task_count": 12,
|
| 191 |
"unsupported_task_count": 0,
|
| 192 |
+
"not_evaluated_task_count": 12,
|
| 193 |
"status_counts": {
|
| 194 |
+
"not_evaluated_in_verified_package": 12,
|
| 195 |
+
"scored": 8
|
| 196 |
},
|
| 197 |
+
"coverage_fraction": 0.4,
|
| 198 |
"result_record_fraction": 1.0
|
| 199 |
},
|
| 200 |
{
|
|
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality and task 13 scored from existing held-out future-window artifacts.",
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
+
"scored_task_count": 7,
|
| 212 |
+
"covered_task_count": 7,
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
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"scoreless_task_count": 13,
|
| 215 |
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|
| 216 |
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"not_evaluated_task_count": 13,
|
| 217 |
"status_counts": {
|
| 218 |
+
"not_evaluated_in_verified_package": 13,
|
| 219 |
+
"scored": 7
|
| 220 |
},
|
| 221 |
+
"coverage_fraction": 0.35,
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
|
|
| 1831 |
"task_label": "Cross-Modal Reconstruction",
|
| 1832 |
"series_id": "cosmos3_nano_future_window",
|
| 1833 |
"method": "Cosmos3-Nano Future Window",
|
| 1834 |
+
"status": "scored",
|
| 1835 |
+
"status_label": "scored",
|
| 1836 |
+
"scored": true,
|
| 1837 |
"proxy_scored": false,
|
| 1838 |
+
"raw": 0.0002873382957286892,
|
| 1839 |
+
"raw_text": "0.0003",
|
| 1840 |
+
"normalized_score": 0.0002873382957286892,
|
| 1841 |
+
"metric_key": "feature_reconstruction_quality",
|
| 1842 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json",
|
| 1843 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1844 |
+
"reason": null
|
| 1845 |
},
|
| 1846 |
{
|
| 1847 |
"task_number": 11,
|
|
|
|
| 3433 |
"task_label": "Time-to-Next-Transition Regression",
|
| 3434 |
"series_id": "cosmos3_super_reasoner",
|
| 3435 |
"method": "Cosmos3-Super Reasoner",
|
| 3436 |
+
"status": "scored",
|
| 3437 |
+
"status_label": "scored",
|
| 3438 |
+
"scored": true,
|
| 3439 |
"proxy_scored": false,
|
| 3440 |
+
"raw": 52.94642857142857,
|
| 3441 |
+
"raw_text": "52.95",
|
| 3442 |
+
"normalized_score": 0.19901920981190058,
|
| 3443 |
+
"metric_key": "time_to_transition_mae",
|
| 3444 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json",
|
| 3445 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3446 |
+
"reason": null
|
| 3447 |
},
|
| 3448 |
{
|
| 3449 |
"task_number": 20,
|
data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-18T16:38:43+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
data/three_foundation_pipelines.json
CHANGED
|
@@ -12,7 +12,7 @@
|
|
| 12 |
"provenance_file": "docs/assets/foundation-pipelines/prompts.md",
|
| 13 |
"renderer_script": "scripts/render_foundation_pipeline_diagrams.py",
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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|
| 12 |
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| 14 |
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|
| 16 |
"note": "Images are slide-diagram communication assets for pipeline tracks. Technical claims remain governed by the Markdown/JSON contracts and verified metrics."
|
| 17 |
},
|
| 18 |
"shared_principles": [
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data/unified_task_model_radar.json
CHANGED
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| 2 |
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| 3 |
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|
@@ -190,20 +190,20 @@
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|
| 190 |
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| 191 |
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| 192 |
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| 214 |
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| 215 |
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| 218 |
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| 219 |
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|
@@ -2507,7 +2507,7 @@
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| 2508 |
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docs/assets/charts/episode128_task_model_radar.svg
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CHANGED
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docs/assets/foundation-pipelines/README.md
CHANGED
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|
| 8 |
They replace the earlier concept-art images and keep the public visuals tied to
|
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the original direction slides. Spatial intelligence and human-video world
|
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-
modeling use the clean slide PNGs supplied for publication
|
| 11 |
-
|
|
|
|
| 12 |
They are still **pipeline communication assets**, not evidence of completed
|
| 13 |
foundation-model quality. Exact technical claims live in the surrounding
|
| 14 |
Markdown, JSON, and website labels.
|
|
|
|
| 7 |
|
| 8 |
They replace the earlier concept-art images and keep the public visuals tied to
|
| 9 |
the original direction slides. Spatial intelligence and human-video world
|
| 10 |
+
modeling use the clean slide PNGs supplied for publication and are exported as
|
| 11 |
+
2560-pixel public assets; VLA stays on the restored original presentation-photo
|
| 12 |
+
source until a matching clean VLA slide PNG is supplied.
|
| 13 |
They are still **pipeline communication assets**, not evidence of completed
|
| 14 |
foundation-model quality. Exact technical claims live in the surrounding
|
| 15 |
Markdown, JSON, and website labels.
|
docs/assets/foundation-pipelines/prompts.md
CHANGED
|
@@ -5,10 +5,10 @@ high-resolution PNGs rebuilt from original direction-slide sources supplied by
|
|
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the project owner. The filename is kept as `prompts.md` because older public
|
| 6 |
manifests and mirrors already link here as the provenance note.
|
| 7 |
|
| 8 |
-
Update on 2026-06-
|
| 9 |
Human-video world model PNGs are byte-identical to the committed source-slide
|
| 10 |
cache and are published as 2560-pixel public images. The third uploaded image
|
| 11 |
-
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| 12 |
continues to use the restored original presentation photo until a clean VLA
|
| 13 |
slide PNG is supplied.
|
| 14 |
|
|
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the project owner. The filename is kept as `prompts.md` because older public
|
| 6 |
manifests and mirrors already link here as the provenance note.
|
| 7 |
|
| 8 |
+
Update on 2026-06-19: the latest supplied clean Spatial intelligence and
|
| 9 |
Human-video world model PNGs are byte-identical to the committed source-slide
|
| 10 |
cache and are published as 2560-pixel public images. The third uploaded image
|
| 11 |
+
duplicates the Spatial intelligence PNG, so the Vision-language-action card
|
| 12 |
continues to use the restored original presentation photo until a clean VLA
|
| 13 |
slide PNG is supplied.
|
| 14 |
|
docs/data/artifact_index.json
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|
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{
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"status": "pass",
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"surface": "website_hf",
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"shows": "Machine-readable pipeline-track contract for the website and Hugging Face mirrors.",
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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|
@@ -719,8 +719,8 @@
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"surface": "website_hf",
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"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
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"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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| 741 |
"surface": "website_hf",
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"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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"surface": "website_hf",
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"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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"surface": "website_hf",
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"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.",
|
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"bytes":
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|
@@ -785,8 +785,8 @@
|
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| 785 |
"surface": "repo_hf",
|
| 786 |
"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.",
|
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"exists": true,
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"bytes":
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"id": "unified_task_model_radar_chart",
|
|
@@ -796,8 +796,8 @@
|
|
| 796 |
"surface": "website_hf",
|
| 797 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
|
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"exists": true,
|
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"bytes":
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{
|
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"id": "single_episode_task_model_radar_chart",
|
|
@@ -818,8 +818,8 @@
|
|
| 818 |
"surface": "website_hf",
|
| 819 |
"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.",
|
| 820 |
"exists": true,
|
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"bytes":
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"sha256": "
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{
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"id": "unified_task_model_radar_builder",
|
|
@@ -829,8 +829,8 @@
|
|
| 829 |
"surface": "repo_hf",
|
| 830 |
"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
|
| 831 |
"exists": true,
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"bytes":
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"sha256": "
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|
|
@@ -884,8 +884,8 @@
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|
| 884 |
"surface": "repo_hf",
|
| 885 |
"shows": "Scores task 16 action-object relation only where verified held-out prediction JSON already contains action and object-set fields.",
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"bytes":
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|
|
@@ -895,8 +895,8 @@
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|
| 895 |
"surface": "repo_hf",
|
| 896 |
"shows": "Derives task-specific scores from committed verified model outputs without running new inference or backfilling absent targets.",
|
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"exists": true,
|
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"bytes":
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| 901 |
{
|
| 902 |
"id": "a100_128_metadata_task_baselines",
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|
@@ -1028,7 +1028,7 @@
|
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| 1028 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 1029 |
"exists": true,
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| 1030 |
"bytes": 19441,
|
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"sha256": "
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| 1033 |
{
|
| 1034 |
"id": "figure_index_builder",
|
|
@@ -1105,7 +1105,7 @@
|
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| 1105 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1106 |
"exists": true,
|
| 1107 |
"bytes": 8100,
|
| 1108 |
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"sha256": "
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|
| 1110 |
{
|
| 1111 |
"id": "public_surface_qa",
|
|
@@ -1310,7 +1310,7 @@
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|
| 1310 |
"volatile": true,
|
| 1311 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 1312 |
"exists": true,
|
| 1313 |
-
"bytes":
|
| 1314 |
"hash_policy": "existence_and_size_only"
|
| 1315 |
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|
| 1316 |
{
|
|
@@ -1322,7 +1322,7 @@
|
|
| 1322 |
"volatile": true,
|
| 1323 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 1324 |
"exists": true,
|
| 1325 |
-
"bytes":
|
| 1326 |
"hash_policy": "existence_and_size_only"
|
| 1327 |
},
|
| 1328 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
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"generated_at_utc": "2026-06-18T16:39:29+00:00",
|
| 4 |
"status": "pass",
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| 5 |
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| 6 |
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|
| 136 |
"surface": "repo_hf",
|
| 137 |
"shows": "Frames spatial intelligence, human-video world modeling, and vision-language-action as three pipeline tracks with explicit inputs, outputs, maturity, and next evidence gates.",
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| 138 |
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"sha256": "ed390388e996fbe9b1b663cb98420ea658a59930b453aa7215859e9a05c2d0ef"
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| 141 |
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| 142 |
{
|
| 143 |
"id": "three_foundation_pipelines_json",
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|
|
|
| 147 |
"surface": "website_hf",
|
| 148 |
"shows": "Machine-readable pipeline-track contract for the website and Hugging Face mirrors.",
|
| 149 |
"exists": true,
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"id": "spatial_intelligence_slide_diagram",
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|
|
| 599 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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| 719 |
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"surface": "website_hf",
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@@ -1,12 +1,12 @@
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{
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| 3 |
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@@ -171,20 +171,20 @@
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| 172 |
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| 3260 |
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| 171 |
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docs/data/figure_index.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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|
@@ -64,8 +64,8 @@
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| 64 |
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@@ -410,8 +410,8 @@
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@@ -446,8 +446,8 @@
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| 447 |
"surface": "website unified task section, README, HF mirrors",
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| 451 |
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| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Figure Index",
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"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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|
| 64 |
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| 66 |
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| 71 |
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| 410 |
"source_script": "scripts/build_unified_task_model_radar.py",
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| 411 |
"surface": "website unified task section, README, HF mirrors",
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| 412 |
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| 415 |
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| 417 |
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| 446 |
"source_script": "scripts/build_unified_task_model_radar.py",
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| 447 |
"surface": "website unified task section, README, HF mirrors",
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| 448 |
"exists": true,
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| 450 |
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docs/data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
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| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
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| 3 |
"status": "pass",
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| 4 |
-
"generated_at_utc": "2026-06-
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| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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| 6 |
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| 7 |
{
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|
@@ -18,7 +18,7 @@
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| 18 |
"website_integrity": {
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| 19 |
"exists": true,
|
| 20 |
"status": "pass",
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| 21 |
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"generated_at_utc": "2026-06-
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| 22 |
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| 23 |
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| 24 |
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@@ -28,12 +28,12 @@
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| 28 |
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| 29 |
"exists": true,
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| 31 |
-
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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@@ -43,12 +43,12 @@
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| 43 |
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| 44 |
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| 45 |
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| 47 |
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| 48 |
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| 49 |
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| 51 |
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| 52 |
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| 54 |
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| 1 |
{
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| 2 |
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| 3 |
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| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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| 6 |
"checks": [
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| 7 |
{
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|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-18T16:38:48+00:00"
|
| 22 |
},
|
| 23 |
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|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-18T16:38:43+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-18T16:38:43+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-18T16:31:49+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-18T15:39:07+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -215,8 +215,8 @@
|
|
| 215 |
"github_repo": {
|
| 216 |
"root": "repo",
|
| 217 |
"exists": true,
|
| 218 |
-
"file_count":
|
| 219 |
-
"text_file_count":
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
@@ -237,8 +237,8 @@
|
|
| 237 |
"hf_artifact_bundle": {
|
| 238 |
"root": "hf_publish/artifacts",
|
| 239 |
"exists": true,
|
| 240 |
-
"file_count":
|
| 241 |
-
"text_file_count":
|
| 242 |
"largest_file": {
|
| 243 |
"path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
|
| 244 |
"bytes": 135591061
|
|
@@ -248,8 +248,8 @@
|
|
| 248 |
"hf_model_bundle": {
|
| 249 |
"root": "hf_publish/model",
|
| 250 |
"exists": true,
|
| 251 |
-
"file_count":
|
| 252 |
-
"text_file_count":
|
| 253 |
"largest_file": {
|
| 254 |
"path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
|
| 255 |
"bytes": 135591061
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-18T16:39:43+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 215 |
"github_repo": {
|
| 216 |
"root": "repo",
|
| 217 |
"exists": true,
|
| 218 |
+
"file_count": 1358,
|
| 219 |
+
"text_file_count": 1135,
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
|
|
| 237 |
"hf_artifact_bundle": {
|
| 238 |
"root": "hf_publish/artifacts",
|
| 239 |
"exists": true,
|
| 240 |
+
"file_count": 2673,
|
| 241 |
+
"text_file_count": 1146,
|
| 242 |
"largest_file": {
|
| 243 |
"path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
|
| 244 |
"bytes": 135591061
|
|
|
|
| 248 |
"hf_model_bundle": {
|
| 249 |
"root": "hf_publish/model",
|
| 250 |
"exists": true,
|
| 251 |
+
"file_count": 3146,
|
| 252 |
+
"text_file_count": 1314,
|
| 253 |
"largest_file": {
|
| 254 |
"path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
|
| 255 |
"bytes": 135591061
|
docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:39:28+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
docs/data/research_roadmap_interactive.json
CHANGED
|
@@ -2222,7 +2222,7 @@
|
|
| 2222 |
],
|
| 2223 |
"status": "planning_artifact"
|
| 2224 |
},
|
| 2225 |
-
"generated_at_utc": "2026-06-
|
| 2226 |
"omni_plan": {
|
| 2227 |
"adapter": "LoRA rank 16, alpha 32, dropout 0.05",
|
| 2228 |
"backbone": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
|
|
|
|
| 2222 |
],
|
| 2223 |
"status": "planning_artifact"
|
| 2224 |
},
|
| 2225 |
+
"generated_at_utc": "2026-06-18T16:36:15+00:00",
|
| 2226 |
"omni_plan": {
|
| 2227 |
"adapter": "LoRA rank 16, alpha 32, dropout 0.05",
|
| 2228 |
"backbone": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
|
docs/data/single_episode_task_model_radar.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 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 |
"method_count": 2,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:36:15+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 |
"method_count": 2,
|
docs/data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:38:43+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
docs/data/task_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
@@ -24,11 +24,11 @@
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
-
"scored_task_count":
|
| 28 |
-
"scoreless_task_count":
|
| 29 |
"status_counts": {
|
| 30 |
-
"not_evaluated_in_verified_package":
|
| 31 |
-
"scored":
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
@@ -135,14 +135,14 @@
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
-
"cosmos3_nano_future_window":
|
| 139 |
"cosmos3_super_reasoner": 12,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
-
"not_evaluated_in_verified_package":
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
@@ -166,7 +166,6 @@
|
|
| 166 |
"cosmos3_super_reasoner"
|
| 167 |
],
|
| 168 |
"10 Cross-Modal Reconstruction": [
|
| 169 |
-
"cosmos3_nano_future_window",
|
| 170 |
"cosmos3_super_reasoner",
|
| 171 |
"qwen3_omni_v6_lora"
|
| 172 |
],
|
|
@@ -346,19 +345,6 @@
|
|
| 346 |
"task_label": "Cross-Modal Reconstruction",
|
| 347 |
"task_number": 10
|
| 348 |
},
|
| 349 |
-
{
|
| 350 |
-
"method": "Cosmos3-Nano Future Window",
|
| 351 |
-
"metric_key": "r2",
|
| 352 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 353 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 354 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 355 |
-
"series_id": "cosmos3_nano_future_window",
|
| 356 |
-
"status": "not_evaluated_in_verified_package",
|
| 357 |
-
"status_label": "not evaluated",
|
| 358 |
-
"task_id": "modality_reconstruction",
|
| 359 |
-
"task_label": "Cross-Modal Reconstruction",
|
| 360 |
-
"task_number": 10
|
| 361 |
-
},
|
| 362 |
{
|
| 363 |
"method": "Cosmos3-Super Reasoner",
|
| 364 |
"metric_key": "f1",
|
|
@@ -718,8 +704,8 @@
|
|
| 718 |
"method_count": 9,
|
| 719 |
"method_task_record_count": 180,
|
| 720 |
"proxy_scored_method_task_count": 4,
|
| 721 |
-
"scored_method_task_count":
|
| 722 |
-
"scoreless_method_task_count":
|
| 723 |
"task_count": 20
|
| 724 |
},
|
| 725 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-18T16:37:05+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 34 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
+
"scored_task_count": 7,
|
| 28 |
+
"scoreless_task_count": 13,
|
| 29 |
"status_counts": {
|
| 30 |
+
"not_evaluated_in_verified_package": 13,
|
| 31 |
+
"scored": 7
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
+
"cosmos3_nano_future_window": 13,
|
| 139 |
"cosmos3_super_reasoner": 12,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
+
"not_evaluated_in_verified_package": 30,
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
|
|
| 166 |
"cosmos3_super_reasoner"
|
| 167 |
],
|
| 168 |
"10 Cross-Modal Reconstruction": [
|
|
|
|
| 169 |
"cosmos3_super_reasoner",
|
| 170 |
"qwen3_omni_v6_lora"
|
| 171 |
],
|
|
|
|
| 345 |
"task_label": "Cross-Modal Reconstruction",
|
| 346 |
"task_number": 10
|
| 347 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
{
|
| 349 |
"method": "Cosmos3-Super Reasoner",
|
| 350 |
"metric_key": "f1",
|
|
|
|
| 704 |
"method_count": 9,
|
| 705 |
"method_task_record_count": 180,
|
| 706 |
"proxy_scored_method_task_count": 4,
|
| 707 |
+
"scored_method_task_count": 146,
|
| 708 |
+
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|
| 709 |
"task_count": 20
|
| 710 |
},
|
| 711 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
docs/data/task_method_20_result_matrix.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -205,20 +205,20 @@
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 13 scored from existing held-out future-
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
-
"scored_task_count":
|
| 212 |
-
"covered_task_count":
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
-
"scoreless_task_count":
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
-
"not_evaluated_task_count":
|
| 217 |
"status_counts": {
|
| 218 |
-
"not_evaluated_in_verified_package":
|
| 219 |
-
"scored":
|
| 220 |
},
|
| 221 |
-
"coverage_fraction": 0.
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
@@ -1831,17 +1831,17 @@
|
|
| 1831 |
"task_label": "Cross-Modal Reconstruction",
|
| 1832 |
"series_id": "cosmos3_nano_future_window",
|
| 1833 |
"method": "Cosmos3-Nano Future Window",
|
| 1834 |
-
"status": "
|
| 1835 |
-
"status_label": "
|
| 1836 |
-
"scored":
|
| 1837 |
"proxy_scored": false,
|
| 1838 |
-
"raw":
|
| 1839 |
-
"raw_text": "
|
| 1840 |
-
"normalized_score":
|
| 1841 |
-
"metric_key": "
|
| 1842 |
-
"source":
|
| 1843 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1844 |
-
"reason":
|
| 1845 |
},
|
| 1846 |
{
|
| 1847 |
"task_number": 11,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T16:36:15+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 146,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality and task 13 scored from existing held-out future-window artifacts.",
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
+
"scored_task_count": 7,
|
| 212 |
+
"covered_task_count": 7,
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
+
"scoreless_task_count": 13,
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
+
"not_evaluated_task_count": 13,
|
| 217 |
"status_counts": {
|
| 218 |
+
"not_evaluated_in_verified_package": 13,
|
| 219 |
+
"scored": 7
|
| 220 |
},
|
| 221 |
+
"coverage_fraction": 0.35,
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
|
|
| 1831 |
"task_label": "Cross-Modal Reconstruction",
|
| 1832 |
"series_id": "cosmos3_nano_future_window",
|
| 1833 |
"method": "Cosmos3-Nano Future Window",
|
| 1834 |
+
"status": "scored",
|
| 1835 |
+
"status_label": "scored",
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| 13 |
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<img src="assets/foundation-pipelines/human-video-world-model-pipeline.png?v=foundation-slides-v7" alt="High-resolution slide diagram showing the Human-video world models direction for Xperience-10M.">
|
| 3624 |
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<img src="assets/foundation-pipelines/vision-language-action-pipeline.png?v=foundation-slides-v7" alt="High-resolution slide diagram showing the Vision-language-action models direction for Xperience-10M.">
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| 3636 |
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<h3>Vision-language-action models</h3>
|
index.html
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<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
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<span>180 method-task records /
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<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
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<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>
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<div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
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<div class="hero-radar-stat"><strong>
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<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
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<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
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<img src="assets/foundation-pipelines/vision-language-action-pipeline.png?v=foundation-slides-
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<h3>Vision-language-action models</h3>
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<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
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<div class="hero-radar-top">
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| 3150 |
<strong>home radar comparison</strong>
|
| 3151 |
+
<span>180 method-task records / 145 scored axes / raw128 complete with 2 documented proxy axes</span>
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</div>
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| 3153 |
<div class="hero-radar-layout">
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<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
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| 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>
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| 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>145</strong><span>scored axes</span></div>
|
| 3163 |
<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
|
| 3164 |
<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
|
| 3165 |
</div>
|
|
|
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| 3608 |
</div>
|
| 3609 |
<div class="foundation-pipeline-grid" aria-label="Three high-resolution foundation direction slide diagrams">
|
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<article class="foundation-pipeline-card">
|
| 3611 |
+
<img src="assets/foundation-pipelines/spatial-intelligence-pipeline.png?v=foundation-slides-v7" alt="High-resolution slide diagram showing the Spatial intelligence models direction for Xperience-10M.">
|
| 3612 |
<div class="foundation-pipeline-body">
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| 3614 |
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|
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<article class="foundation-pipeline-card">
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<img src="assets/foundation-pipelines/human-video-world-model-pipeline.png?v=foundation-slides-v7" alt="High-resolution slide diagram showing the Human-video world models direction for Xperience-10M.">
|
| 3624 |
<div class="foundation-pipeline-body">
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| 3625 |
<span>High-resolution direction slide</span>
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| 3626 |
<h3>Human-video world models</h3>
|
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| 3632 |
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| 3633 |
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|
| 3634 |
<article class="foundation-pipeline-card">
|
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+
<img src="assets/foundation-pipelines/vision-language-action-pipeline.png?v=foundation-slides-v7" alt="High-resolution slide diagram showing the Vision-language-action models direction for Xperience-10M.">
|
| 3636 |
<div class="foundation-pipeline-body">
|
| 3637 |
<span>Restored direction slide</span>
|
| 3638 |
<h3>Vision-language-action models</h3>
|
results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
# Existing Model-Output Task Probes
|
| 2 |
|
| 3 |
-
Generated: `2026-06-
|
| 4 |
|
| 5 |
This package scores only task targets already present in verified held-out
|
| 6 |
prediction JSON. It does not run new inference and does not infer targets that
|
|
@@ -10,4 +10,4 @@ are absent from a model branch.
|
|
| 10 |
| --- | --- | --- | --- | ---: | ---: | ---: | --- |
|
| 11 |
| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | scored | action_object_relation | n/a | 0.000222 | n/a | results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl |
|
| 12 |
| Cosmos3-Super Reasoner | cosmos3_super_reasoner | scored | action_object_relation, time_to_transition | n/a | 0.000000 | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl |
|
| 13 |
-
| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action | 0.002491 | n/a | n/a | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |
|
|
|
|
| 1 |
# Existing Model-Output Task Probes
|
| 2 |
|
| 3 |
+
Generated: `2026-06-18T16:30:30+00:00`
|
| 4 |
|
| 5 |
This package scores only task targets already present in verified held-out
|
| 6 |
prediction JSON. It does not run new inference and does not infer targets that
|
|
|
|
| 10 |
| --- | --- | --- | --- | ---: | ---: | ---: | --- |
|
| 11 |
| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | scored | action_object_relation | n/a | 0.000222 | n/a | results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl |
|
| 12 |
| Cosmos3-Super Reasoner | cosmos3_super_reasoner | scored | action_object_relation, time_to_transition | n/a | 0.000000 | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl |
|
| 13 |
+
| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action, modality_reconstruction | 0.002491 | n/a | n/a | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |
|
results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json
CHANGED
|
@@ -8,7 +8,7 @@
|
|
| 8 |
"predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/predictions.csv"
|
| 9 |
},
|
| 10 |
"excluded_rows_without_true_relation": 2,
|
| 11 |
-
"generated_at_utc": "2026-06-
|
| 12 |
"labels": [
|
| 13 |
"Adjust canned food on shelf :: canned food | cardboard box | store shelf",
|
| 14 |
"Adjust item on shelf :: shelf | stationery package",
|
|
|
|
| 8 |
"predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/predictions.csv"
|
| 9 |
},
|
| 10 |
"excluded_rows_without_true_relation": 2,
|
| 11 |
+
"generated_at_utc": "2026-06-18T16:30:30+00:00",
|
| 12 |
"labels": [
|
| 13 |
"Adjust canned food on shelf :: canned food | cardboard box | store shelf",
|
| 14 |
"Adjust item on shelf :: shelf | stationery package",
|
results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json
CHANGED
|
@@ -8,7 +8,7 @@
|
|
| 8 |
"predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/predictions.csv"
|
| 9 |
},
|
| 10 |
"excluded_rows_without_true_relation": 18,
|
| 11 |
-
"generated_at_utc": "2026-06-
|
| 12 |
"labels": [
|
| 13 |
"Adjust canned food on shelf :: canned food | cardboard box | store shelf",
|
| 14 |
"Adjust item on shelf :: hand | packaged item | shelf",
|
|
|
|
| 8 |
"predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/predictions.csv"
|
| 9 |
},
|
| 10 |
"excluded_rows_without_true_relation": 18,
|
| 11 |
+
"generated_at_utc": "2026-06-18T16:30:30+00:00",
|
| 12 |
"labels": [
|
| 13 |
"Adjust canned food on shelf :: canned food | cardboard box | store shelf",
|
| 14 |
"Adjust item on shelf :: hand | packaged item | shelf",
|
results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
},
|
| 8 |
"dataset_contract": "xperience10m_future_window_world_model_v0",
|
| 9 |
"excluded_rows_without_true_action": 0,
|
| 10 |
-
"generated_at_utc": "2026-06-
|
| 11 |
"horizon_windows": 5,
|
| 12 |
"known_limitation": "The verified package records horizon_windows rather than a raw wall-clock horizon. This score should be read as the Cosmos-Nano future-window branch for task 13, not as independent proof of an exact five-second raw-video target.",
|
| 13 |
"labels": [
|
|
|
|
| 7 |
},
|
| 8 |
"dataset_contract": "xperience10m_future_window_world_model_v0",
|
| 9 |
"excluded_rows_without_true_action": 0,
|
| 10 |
+
"generated_at_utc": "2026-06-18T16:30:30+00:00",
|
| 11 |
"horizon_windows": 5,
|
| 12 |
"known_limitation": "The verified package records horizon_windows rather than a raw wall-clock horizon. This score should be read as the Cosmos-Nano future-window branch for task 13, not as independent proof of an exact five-second raw-video target.",
|
| 13 |
"labels": [
|
results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json
ADDED
|
@@ -0,0 +1,25 @@
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"artifact_files": {
|
| 3 |
+
"metrics_json": "results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json"
|
| 4 |
+
},
|
| 5 |
+
"feature_reconstruction_error": 3479.218317102503,
|
| 6 |
+
"feature_reconstruction_quality": 0.0002873382957286892,
|
| 7 |
+
"generated_at_utc": "2026-06-18T16:30:30+00:00",
|
| 8 |
+
"known_limitation": "The metric is comparable as evidence that the branch emitted a reconstruction objective, but it should not be read as an R2 head trained on the exact simple baseline feature split.",
|
| 9 |
+
"metric_key": "feature_reconstruction_quality",
|
| 10 |
+
"model_id": "cosmos3_nano_future_window",
|
| 11 |
+
"model_label": "Cosmos3-Nano Future Window",
|
| 12 |
+
"normalization_policy": "This is not the single-episode/128-baseline R2 metric. It is a model-branch reconstruction-quality probe backed by the verified held-out future-window feature reconstruction error.",
|
| 13 |
+
"num_samples": 378,
|
| 14 |
+
"primary_metric": "feature_reconstruction_quality",
|
| 15 |
+
"primary_score": 0.0002873382957286892,
|
| 16 |
+
"scope": "held_out_test_existing_verified_future_window_reconstruction_metric",
|
| 17 |
+
"score_policy": "Derived from the verified Cosmos3-Nano future-window package metric. The source package directly reports held-out feature_reconstruction_error; this artifact maps it onto task 10 as an inverse reconstruction-quality score 1 / (1 + error) so the matrix can retain its higher-is-better convention.",
|
| 18 |
+
"source_metric_key": "feature_reconstruction_error",
|
| 19 |
+
"source_metrics_json": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json",
|
| 20 |
+
"status": "pass",
|
| 21 |
+
"task_id": "modality_reconstruction",
|
| 22 |
+
"task_label": "Cross-Modal Reconstruction",
|
| 23 |
+
"task_number": 10,
|
| 24 |
+
"title": "Cosmos3-Nano Future Window Modality Reconstruction Probe"
|
| 25 |
+
}
|
results/omni_finetune/model_output_task_probes_20260616/summary.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-
|
| 3 |
"methods": {
|
| 4 |
"cosmos3_nano_future_window": {
|
| 5 |
"label": "Cosmos3-Nano Future Window",
|
|
@@ -13,6 +13,13 @@
|
|
| 13 |
"long_horizon_next_action_macro_f1": 0.0024906600249066007,
|
| 14 |
"scored_rows": 378,
|
| 15 |
"source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
}
|
| 17 |
},
|
| 18 |
"unsupported_tasks": {
|
|
@@ -59,11 +66,12 @@
|
|
| 59 |
}
|
| 60 |
},
|
| 61 |
"scope": "Task-specific scoring from existing verified held-out model outputs. No new model inference, training, or target backfilling is performed.",
|
| 62 |
-
"scored_method_task_count_added":
|
| 63 |
"status": "pass",
|
| 64 |
"task_ids_added_to_matrix": [
|
| 65 |
"action_object_relation",
|
| 66 |
"long_horizon_next_action",
|
|
|
|
| 67 |
"time_to_transition"
|
| 68 |
],
|
| 69 |
"title": "Existing Model-Output Task Probes"
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-18T16:30:30+00:00",
|
| 3 |
"methods": {
|
| 4 |
"cosmos3_nano_future_window": {
|
| 5 |
"label": "Cosmos3-Nano Future Window",
|
|
|
|
| 13 |
"long_horizon_next_action_macro_f1": 0.0024906600249066007,
|
| 14 |
"scored_rows": 378,
|
| 15 |
"source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json"
|
| 16 |
+
},
|
| 17 |
+
"modality_reconstruction": {
|
| 18 |
+
"feature_reconstruction_error": 3479.218317102503,
|
| 19 |
+
"feature_reconstruction_quality": 0.0002873382957286892,
|
| 20 |
+
"num_samples": 378,
|
| 21 |
+
"source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json",
|
| 22 |
+
"source_verified_metrics_json": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json"
|
| 23 |
}
|
| 24 |
},
|
| 25 |
"unsupported_tasks": {
|
|
|
|
| 66 |
}
|
| 67 |
},
|
| 68 |
"scope": "Task-specific scoring from existing verified held-out model outputs. No new model inference, training, or target backfilling is performed.",
|
| 69 |
+
"scored_method_task_count_added": 5,
|
| 70 |
"status": "pass",
|
| 71 |
"task_ids_added_to_matrix": [
|
| 72 |
"action_object_relation",
|
| 73 |
"long_horizon_next_action",
|
| 74 |
+
"modality_reconstruction",
|
| 75 |
"time_to_transition"
|
| 76 |
],
|
| 77 |
"title": "Existing Model-Output Task Probes"
|