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  1. TASK_METHOD_20_GAP_AUDIT.md +5 -10
  2. TASK_METHOD_20_RESULT_MATRIX.md +6 -6
  3. assets/charts/episode128_task_model_radar.svg +9 -4
  4. assets/charts/unified_task_model_radar.svg +8 -3
  5. data/publication_audit.json +12 -5
  6. docs/assets/charts/episode128_task_model_radar.svg +9 -4
  7. docs/assets/charts/unified_task_model_radar.svg +8 -3
  8. docs/data/artifact_index.json +27 -27
  9. docs/data/episode128_task_model_radar.json +95 -95
  10. docs/data/mirror_parity.json +0 -0
  11. docs/data/public_surface_qa.json +7 -7
  12. docs/data/publication_audit.json +12 -5
  13. docs/data/quality_gates.json +1 -1
  14. docs/data/scope_claims_audit.json +4 -4
  15. docs/data/single_episode_task_model_radar.json +1 -1
  16. docs/data/source_alignment_audit.json +1 -1
  17. docs/data/task_method_20_gap_audit.json +12 -86
  18. docs/data/task_method_20_result_matrix.json +55 -55
  19. docs/data/task_surface_integrity.json +1 -1
  20. docs/data/unified_task_model_radar.json +111 -111
  21. docs/data/website_integrity.json +8 -8
  22. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/RUN_REPORT.md +12 -0
  23. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json +30 -0
  24. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/predictions.csv +0 -0
  25. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/collection_validation.json +44 -0
  26. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json +30 -0
  27. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.csv +0 -0
  28. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.jsonl +0 -0
  29. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json +30 -0
  30. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/predictions.csv +0 -0
  31. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json +30 -0
  32. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/predictions.csv +0 -0
  33. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json +30 -0
  34. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/predictions.csv +0 -0
  35. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json +53 -0
  36. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0.progress.jsonl +0 -0
  37. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1.progress.jsonl +0 -0
  38. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2.progress.jsonl +0 -0
  39. results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3.progress.jsonl +0 -0
  40. scripts/build_unified_task_model_radar.py +27 -2
  41. scripts/sync_hf_publish_mirrors.py +4 -0
  42. scripts/validate_mirror_parity.py +55 -0
  43. scripts/validate_publication_package.py +7 -0
TASK_METHOD_20_GAP_AUDIT.md CHANGED
@@ -1,6 +1,6 @@
1
  # Task Method 20-Result Gap Audit
2
 
3
- Generated: `2026-06-20T04:24:42+00:00`
4
 
5
  This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
6
  It keeps missing cells visible while preserving the rule that a numeric score
@@ -9,8 +9,8 @@ requires a real task target and source artifact.
9
  ## Score Summary
10
 
11
  - Method-task records: `180`
12
- - Numeric scored records: `159`
13
- - Scoreless records: `21`
14
  - Proxy-scored records: `4`
15
  - Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
16
 
@@ -25,14 +25,14 @@ requires a real task target and source artifact.
25
  | 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
26
  | 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
27
  | Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 20/20 | 0 | 0 | scored: 20 |
28
- | Cosmos3-Super Reasoner | cosmos3_super_reasoner | 10/20 | 10 | 0 | not_evaluated_in_verified_package: 10, scored: 10 |
29
  | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 11/20 | 9 | 0 | not_evaluated_in_verified_package: 9, scored: 11 |
30
 
31
  ## Gap Classes
32
 
33
  | Status | Count | Next step |
34
  | --- | --- | --- |
35
- | not_evaluated_in_verified_package | 19 | Generate verified model outputs for this task contract and score them against the held-out labels. |
36
  | not_supported_by_metadata_only_package | 1 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
37
  | unsupported_without_required_target | 1 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
38
 
@@ -41,12 +41,9 @@ requires a real task target and source artifact.
41
  | Task | Task label | Method | Status | Required evidence |
42
  | --- | --- | --- | --- | --- |
43
  | 02 | Procedure Step Recognition | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
44
- | 05 | Hand Trajectory Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
45
  | 05 | Hand Trajectory Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
46
  | 07 | Object Relevance Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
47
  | 08 | Language Grounding | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
48
- | 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. |
49
- | 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. |
50
  | 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. |
51
  | 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. |
52
  | 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. |
@@ -55,11 +52,9 @@ requires a real task target and source artifact.
55
  | 15 | Interaction Text Prediction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
56
  | 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
57
  | 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
58
- | 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
59
  | 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
60
  | 19 | Camera-View Synchronization Retrieval | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
61
  | 19 | Camera-View Synchronization Retrieval | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
62
- | 19 | Camera-View Synchronization Retrieval | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
63
  | 19 | Camera-View Synchronization Retrieval | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
64
 
65
  ## Proxy Records
 
1
  # Task Method 20-Result Gap Audit
2
 
3
+ Generated: `2026-06-20T13:58:05+00:00`
4
 
5
  This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
6
  It keeps missing cells visible while preserving the rule that a numeric score
 
9
  ## Score Summary
10
 
11
  - Method-task records: `180`
12
+ - Numeric scored records: `164`
13
+ - Scoreless records: `16`
14
  - Proxy-scored records: `4`
15
  - Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
16
 
 
25
  | 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
26
  | 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
27
  | Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 20/20 | 0 | 0 | scored: 20 |
28
+ | Cosmos3-Super Reasoner | cosmos3_super_reasoner | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
29
  | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 11/20 | 9 | 0 | not_evaluated_in_verified_package: 9, scored: 11 |
30
 
31
  ## Gap Classes
32
 
33
  | Status | Count | Next step |
34
  | --- | --- | --- |
35
+ | not_evaluated_in_verified_package | 14 | Generate verified model outputs for this task contract and score them against the held-out labels. |
36
  | not_supported_by_metadata_only_package | 1 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
37
  | unsupported_without_required_target | 1 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
38
 
 
41
  | Task | Task label | Method | Status | Required evidence |
42
  | --- | --- | --- | --- | --- |
43
  | 02 | Procedure Step Recognition | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 
44
  | 05 | Hand Trajectory Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
45
  | 07 | Object Relevance Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
46
  | 08 | Language Grounding | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 
 
47
  | 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. |
48
  | 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. |
49
  | 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. |
 
52
  | 15 | Interaction Text Prediction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
53
  | 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
54
  | 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 
55
  | 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
56
  | 19 | Camera-View Synchronization Retrieval | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
57
  | 19 | Camera-View Synchronization Retrieval | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
 
58
  | 19 | Camera-View Synchronization Retrieval | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
59
 
60
  ## Proxy Records
TASK_METHOD_20_RESULT_MATRIX.md CHANGED
@@ -13,7 +13,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
13
  | 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
14
  | 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
15
  | Qwen3-Omni v6 LoRA | 20 | 20 | 0 | 0 | scored 20 |
16
- | Cosmos3-Super Reasoner | 20 | 10 | 0 | 10 | not evaluated 10, scored 10 |
17
  | Cosmos3-Nano Future Window | 20 | 11 | 0 | 9 | not evaluated 9, scored 11 |
18
 
19
  | # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
@@ -22,12 +22,12 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
22
  | 02 | Procedure Step Recognition | score | score | score | score | score | score | score | score | not evaluated |
23
  | 03 | Action Boundary Detection | score | score | score | score | score | score | score | score | score |
24
  | 04 | Next-Action Prediction | score | score | score | score | score | score | score | score | score |
25
- | 05 | Hand Trajectory Forecasting | score | score | score | score | score | score | score | not evaluated | not evaluated |
26
  | 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
27
  | 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
28
  | 08 | Language Grounding | score | score | score | score | score | score | score | score | not evaluated |
29
- | 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score | not evaluated | score |
30
- | 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | score | not evaluated | score |
31
  | 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
32
  | 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
33
  | 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
@@ -35,8 +35,8 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
35
  | 15 | Interaction Text Prediction | score | score | score | score | proxy | proxy | score | not evaluated | not evaluated |
36
  | 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | score |
37
  | 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
38
- | 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | score | not evaluated | not evaluated |
39
- | 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | score | not evaluated | not evaluated |
40
  | 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
41
 
42
  Sources and raw values are in `docs/data/task_method_20_result_matrix.json` and `docs/data/unified_task_model_radar.json`.
 
13
  | 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
14
  | 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
15
  | Qwen3-Omni v6 LoRA | 20 | 20 | 0 | 0 | scored 20 |
16
+ | Cosmos3-Super Reasoner | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
17
  | Cosmos3-Nano Future Window | 20 | 11 | 0 | 9 | not evaluated 9, scored 11 |
18
 
19
  | # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
 
22
  | 02 | Procedure Step Recognition | score | score | score | score | score | score | score | score | not evaluated |
23
  | 03 | Action Boundary Detection | score | score | score | score | score | score | score | score | score |
24
  | 04 | Next-Action Prediction | score | score | score | score | score | score | score | score | score |
25
+ | 05 | Hand Trajectory Forecasting | score | score | score | score | score | score | score | score | not evaluated |
26
  | 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
27
  | 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
28
  | 08 | Language Grounding | score | score | score | score | score | score | score | score | not evaluated |
29
+ | 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score | score | score |
30
+ | 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | score | score | score |
31
  | 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
32
  | 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
33
  | 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
 
35
  | 15 | Interaction Text Prediction | score | score | score | score | proxy | proxy | score | not evaluated | not evaluated |
36
  | 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | score |
37
  | 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
38
+ | 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | score | score | not evaluated |
39
+ | 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | score | score | not evaluated |
40
  | 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
41
 
42
  Sources and raw values are in `docs/data/task_method_20_result_matrix.json` and `docs/data/unified_task_model_radar.json`.
assets/charts/episode128_task_model_radar.svg CHANGED
assets/charts/unified_task_model_radar.svg CHANGED
data/publication_audit.json CHANGED
@@ -1,6 +1,6 @@
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@@ -166,6 +166,13 @@
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167
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169
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@@ -216,8 +223,8 @@
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@@ -238,7 +245,7 @@
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@@ -249,7 +256,7 @@
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  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T14:03:29+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/scope_claims_audit.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "pass",
3
- "generated_at_utc": "2026-06-19T11:30:24+00:00",
4
  "summary": {
5
  "qwen3_omni_verified_diagnostic_pilot": true,
6
  "dataset_manifest_num_episodes": 119,
@@ -9,7 +9,7 @@
9
  "eval_num_samples": 4032,
10
  "eval_json_validity_rate": 0.9990079365079365,
11
  "quality_target_met": true,
12
- "historical_identifier_count": 1830,
13
  "public_32_episode_status_file_count": 1,
14
  "failure_count": 0
15
  },
@@ -84,7 +84,7 @@
84
  {
85
  "name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
86
  "status": "pass",
87
- "detail": "historical identifiers found in result provenance files=1830",
88
  "evidence": [
89
  "results/omni_finetune/"
90
  ]
@@ -420,6 +420,6 @@
420
  "example": "{\"id\": \"xperience-10m-sample:qa:51\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 1020, \"end_frame\": 1039, \"num_frames\": 20}, \"media\": {\"video_path"
421
  }
422
  ],
423
- "historical_identifier_total_count": 1830,
424
  "failures": []
425
  }
 
1
  {
2
  "status": "pass",
3
+ "generated_at_utc": "2026-06-20T14:04:01+00:00",
4
  "summary": {
5
  "qwen3_omni_verified_diagnostic_pilot": true,
6
  "dataset_manifest_num_episodes": 119,
 
9
  "eval_num_samples": 4032,
10
  "eval_json_validity_rate": 0.9990079365079365,
11
  "quality_target_met": true,
12
+ "historical_identifier_count": 1842,
13
  "public_32_episode_status_file_count": 1,
14
  "failure_count": 0
15
  },
 
84
  {
85
  "name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
86
  "status": "pass",
87
+ "detail": "historical identifiers found in result provenance files=1842",
88
  "evidence": [
89
  "results/omni_finetune/"
90
  ]
 
420
  "example": "{\"id\": \"xperience-10m-sample:qa:51\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 1020, \"end_frame\": 1039, \"num_frames\": 20}, \"media\": {\"video_path"
421
  }
422
  ],
423
+ "historical_identifier_total_count": 1842,
424
  "failures": []
425
  }
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": "2026-06-20T04:24:26+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,
 
1
  {
2
  "title": "Single-Episode 20-Task Radar",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T13:58:04+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": "2026-06-20T04:25:30+00:00",
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": "2026-06-20T14:03:48+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": "2026-06-20T04:24:42+00:00",
3
  "immediate_actions": [
4
  {
5
  "artifact": "docs/data/task_method_20_gap_audit.json",
6
  "id": "gap_audit",
7
- "purpose": "Keep the 21 scoreless cells visible and reproducible."
8
  },
9
  {
10
  "artifact": "scripts/omni/score_model_output_probes.py",
@@ -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": 10,
41
- "scoreless_task_count": 10,
42
  "status_counts": {
43
- "not_evaluated_in_verified_package": 10,
44
- "scored": 10
45
  }
46
  },
47
  "metadata128_neural_mlp": {
@@ -135,12 +135,12 @@
135
  },
136
  "missing_by_method": {
137
  "cosmos3_nano_future_window": 9,
138
- "cosmos3_super_reasoner": 10,
139
  "metadata128_neural_mlp": 1,
140
  "metadata128_simple": 1
141
  },
142
  "missing_by_status": {
143
- "not_evaluated_in_verified_package": 19,
144
  "not_supported_by_metadata_only_package": 1,
145
  "unsupported_without_required_target": 1
146
  },
@@ -149,8 +149,7 @@
149
  "cosmos3_nano_future_window"
150
  ],
151
  "05 Hand Trajectory Forecasting": [
152
- "cosmos3_nano_future_window",
153
- "cosmos3_super_reasoner"
154
  ],
155
  "07 Object Relevance Prediction": [
156
  "cosmos3_nano_future_window"
@@ -158,12 +157,6 @@
158
  "08 Language Grounding": [
159
  "cosmos3_nano_future_window"
160
  ],
161
- "09 Cross-Modal Retrieval": [
162
- "cosmos3_super_reasoner"
163
- ],
164
- "10 Cross-Modal Reconstruction": [
165
- "cosmos3_super_reasoner"
166
- ],
167
  "11 Temporal Order Verification": [
168
  "cosmos3_nano_future_window",
169
  "cosmos3_super_reasoner"
@@ -183,12 +176,10 @@
183
  "cosmos3_super_reasoner"
184
  ],
185
  "18 IMU-to-Hand Pose Reconstruction": [
186
- "cosmos3_nano_future_window",
187
- "cosmos3_super_reasoner"
188
  ],
189
  "19 Camera-View Synchronization Retrieval": [
190
  "cosmos3_nano_future_window",
191
- "cosmos3_super_reasoner",
192
  "metadata128_neural_mlp",
193
  "metadata128_simple"
194
  ]
@@ -207,19 +198,6 @@
207
  "task_label": "Procedure Step Recognition",
208
  "task_number": 2
209
  },
210
- {
211
- "method": "Cosmos3-Super Reasoner",
212
- "metric_key": "mpjpe",
213
- "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",
214
- "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
215
- "scope": "multi_episode_128_partial_model_overlay",
216
- "series_id": "cosmos3_super_reasoner",
217
- "status": "not_evaluated_in_verified_package",
218
- "status_label": "not evaluated",
219
- "task_id": "hand_trajectory_forecast",
220
- "task_label": "Hand Trajectory Forecasting",
221
- "task_number": 5
222
- },
223
  {
224
  "method": "Cosmos3-Nano Future Window",
225
  "metric_key": "mpjpe",
@@ -259,32 +237,6 @@
259
  "task_label": "Language Grounding",
260
  "task_number": 8
261
  },
262
- {
263
- "method": "Cosmos3-Super Reasoner",
264
- "metric_key": "mrr",
265
- "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",
266
- "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
267
- "scope": "multi_episode_128_partial_model_overlay",
268
- "series_id": "cosmos3_super_reasoner",
269
- "status": "not_evaluated_in_verified_package",
270
- "status_label": "not evaluated",
271
- "task_id": "cross_modal_retrieval",
272
- "task_label": "Cross-Modal Retrieval",
273
- "task_number": 9
274
- },
275
- {
276
- "method": "Cosmos3-Super Reasoner",
277
- "metric_key": "r2",
278
- "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",
279
- "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
280
- "scope": "multi_episode_128_partial_model_overlay",
281
- "series_id": "cosmos3_super_reasoner",
282
- "status": "not_evaluated_in_verified_package",
283
- "status_label": "not evaluated",
284
- "task_id": "modality_reconstruction",
285
- "task_label": "Cross-Modal Reconstruction",
286
- "task_number": 10
287
- },
288
  {
289
  "method": "Cosmos3-Super Reasoner",
290
  "metric_key": "f1",
@@ -389,19 +341,6 @@
389
  "task_label": "Future Object-Set Forecasting",
390
  "task_number": 17
391
  },
392
- {
393
- "method": "Cosmos3-Super Reasoner",
394
- "metric_key": "mae",
395
- "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",
396
- "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
397
- "scope": "multi_episode_128_partial_model_overlay",
398
- "series_id": "cosmos3_super_reasoner",
399
- "status": "not_evaluated_in_verified_package",
400
- "status_label": "not evaluated",
401
- "task_id": "imu_to_hand_pose",
402
- "task_label": "IMU-to-Hand Pose Reconstruction",
403
- "task_number": 18
404
- },
405
  {
406
  "method": "Cosmos3-Nano Future Window",
407
  "metric_key": "mae",
@@ -441,19 +380,6 @@
441
  "task_label": "Camera-View Synchronization Retrieval",
442
  "task_number": 19
443
  },
444
- {
445
- "method": "Cosmos3-Super Reasoner",
446
- "metric_key": "mrr",
447
- "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",
448
- "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
449
- "scope": "multi_episode_128_partial_model_overlay",
450
- "series_id": "cosmos3_super_reasoner",
451
- "status": "not_evaluated_in_verified_package",
452
- "status_label": "not evaluated",
453
- "task_id": "camera_view_sync_retrieval",
454
- "task_label": "Camera-View Synchronization Retrieval",
455
- "task_number": 19
456
- },
457
  {
458
  "method": "Cosmos3-Nano Future Window",
459
  "metric_key": "mrr",
@@ -514,8 +440,8 @@
514
  "method_count": 9,
515
  "method_task_record_count": 180,
516
  "proxy_scored_method_task_count": 4,
517
- "scored_method_task_count": 159,
518
- "scoreless_method_task_count": 21,
519
  "task_count": 20
520
  },
521
  "source_matrix": "docs/data/task_method_20_result_matrix.json",
 
1
  {
2
+ "generated_at_utc": "2026-06-20T13:58:05+00:00",
3
  "immediate_actions": [
4
  {
5
  "artifact": "docs/data/task_method_20_gap_audit.json",
6
  "id": "gap_audit",
7
+ "purpose": "Keep the 16 scoreless cells visible and reproducible."
8
  },
9
  {
10
  "artifact": "scripts/omni/score_model_output_probes.py",
 
37
  "proxy_scored_task_count": 0,
38
  "result_record_count": 20,
39
  "scope": "128 selected episodes, held-out test",
40
+ "scored_task_count": 15,
41
+ "scoreless_task_count": 5,
42
  "status_counts": {
43
+ "not_evaluated_in_verified_package": 5,
44
+ "scored": 15
45
  }
46
  },
47
  "metadata128_neural_mlp": {
 
135
  },
136
  "missing_by_method": {
137
  "cosmos3_nano_future_window": 9,
138
+ "cosmos3_super_reasoner": 5,
139
  "metadata128_neural_mlp": 1,
140
  "metadata128_simple": 1
141
  },
142
  "missing_by_status": {
143
+ "not_evaluated_in_verified_package": 14,
144
  "not_supported_by_metadata_only_package": 1,
145
  "unsupported_without_required_target": 1
146
  },
 
149
  "cosmos3_nano_future_window"
150
  ],
151
  "05 Hand Trajectory Forecasting": [
152
+ "cosmos3_nano_future_window"
 
153
  ],
154
  "07 Object Relevance Prediction": [
155
  "cosmos3_nano_future_window"
 
157
  "08 Language Grounding": [
158
  "cosmos3_nano_future_window"
159
  ],
 
 
 
 
 
 
160
  "11 Temporal Order Verification": [
161
  "cosmos3_nano_future_window",
162
  "cosmos3_super_reasoner"
 
176
  "cosmos3_super_reasoner"
177
  ],
178
  "18 IMU-to-Hand Pose Reconstruction": [
179
+ "cosmos3_nano_future_window"
 
180
  ],
181
  "19 Camera-View Synchronization Retrieval": [
182
  "cosmos3_nano_future_window",
 
183
  "metadata128_neural_mlp",
184
  "metadata128_simple"
185
  ]
 
198
  "task_label": "Procedure Step Recognition",
199
  "task_number": 2
200
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
201
  {
202
  "method": "Cosmos3-Nano Future Window",
203
  "metric_key": "mpjpe",
 
237
  "task_label": "Language Grounding",
238
  "task_number": 8
239
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
240
  {
241
  "method": "Cosmos3-Super Reasoner",
242
  "metric_key": "f1",
 
341
  "task_label": "Future Object-Set Forecasting",
342
  "task_number": 17
343
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
344
  {
345
  "method": "Cosmos3-Nano Future Window",
346
  "metric_key": "mae",
 
380
  "task_label": "Camera-View Synchronization Retrieval",
381
  "task_number": 19
382
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
383
  {
384
  "method": "Cosmos3-Nano Future Window",
385
  "metric_key": "mrr",
 
440
  "method_count": 9,
441
  "method_task_record_count": 180,
442
  "proxy_scored_method_task_count": 4,
443
+ "scored_method_task_count": 164,
444
+ "scoreless_method_task_count": 16,
445
  "task_count": 20
446
  },
447
  "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": "2026-06-20T04:24:26+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
8
- "scored_method_task_count": 159,
9
  "series": [
10
  {
11
  "id": "minimal",
@@ -180,20 +180,20 @@
180
  "kind": "partial_128_episode_foundation_model_overlay",
181
  "scope": "128 selected episodes, held-out test",
182
  "stroke_dasharray": "4 7",
183
- "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 8/16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
184
  "plotted_as": "colored point overlay",
185
  "result_record_count": 20,
186
- "scored_task_count": 10,
187
- "covered_task_count": 10,
188
  "proxy_scored_task_count": 0,
189
- "scoreless_task_count": 10,
190
  "unsupported_task_count": 0,
191
- "not_evaluated_task_count": 10,
192
  "status_counts": {
193
- "not_evaluated_in_verified_package": 10,
194
- "scored": 10
195
  },
196
- "coverage_fraction": 0.5,
197
  "result_record_fraction": 1.0
198
  },
199
  {
@@ -1002,17 +1002,17 @@
1002
  "task_label": "Hand Trajectory Forecasting",
1003
  "series_id": "cosmos3_super_reasoner",
1004
  "method": "Cosmos3-Super Reasoner",
1005
- "status": "not_evaluated_in_verified_package",
1006
- "status_label": "not evaluated",
1007
- "scored": false,
1008
  "proxy_scored": false,
1009
- "raw": null,
1010
- "raw_text": "n/a",
1011
- "normalized_score": null,
1012
- "metric_key": "mpjpe",
1013
- "source": null,
1014
  "scope": "multi_episode_128_partial_model_overlay",
1015
- "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"
1016
  },
1017
  {
1018
  "task_number": 5,
@@ -1650,17 +1650,17 @@
1650
  "task_label": "Cross-Modal Retrieval",
1651
  "series_id": "cosmos3_super_reasoner",
1652
  "method": "Cosmos3-Super Reasoner",
1653
- "status": "not_evaluated_in_verified_package",
1654
- "status_label": "not evaluated",
1655
- "scored": false,
1656
  "proxy_scored": false,
1657
- "raw": null,
1658
- "raw_text": "n/a",
1659
- "normalized_score": null,
1660
- "metric_key": "mrr",
1661
- "source": null,
1662
  "scope": "multi_episode_128_partial_model_overlay",
1663
- "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"
1664
  },
1665
  {
1666
  "task_number": 9,
@@ -1812,17 +1812,17 @@
1812
  "task_label": "Cross-Modal Reconstruction",
1813
  "series_id": "cosmos3_super_reasoner",
1814
  "method": "Cosmos3-Super Reasoner",
1815
- "status": "not_evaluated_in_verified_package",
1816
- "status_label": "not evaluated",
1817
- "scored": false,
1818
  "proxy_scored": false,
1819
- "raw": null,
1820
- "raw_text": "n/a",
1821
- "normalized_score": null,
1822
- "metric_key": "r2",
1823
- "source": null,
1824
  "scope": "multi_episode_128_partial_model_overlay",
1825
- "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"
1826
  },
1827
  {
1828
  "task_number": 10,
@@ -3108,17 +3108,17 @@
3108
  "task_label": "IMU-to-Hand Pose Reconstruction",
3109
  "series_id": "cosmos3_super_reasoner",
3110
  "method": "Cosmos3-Super Reasoner",
3111
- "status": "not_evaluated_in_verified_package",
3112
- "status_label": "not evaluated",
3113
- "scored": false,
3114
  "proxy_scored": false,
3115
- "raw": null,
3116
- "raw_text": "n/a",
3117
- "normalized_score": null,
3118
- "metric_key": "mae",
3119
- "source": null,
3120
  "scope": "multi_episode_128_partial_model_overlay",
3121
- "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"
3122
  },
3123
  {
3124
  "task_number": 18,
@@ -3270,17 +3270,17 @@
3270
  "task_label": "Camera-View Synchronization Retrieval",
3271
  "series_id": "cosmos3_super_reasoner",
3272
  "method": "Cosmos3-Super Reasoner",
3273
- "status": "not_evaluated_in_verified_package",
3274
- "status_label": "not evaluated",
3275
- "scored": false,
3276
  "proxy_scored": false,
3277
- "raw": null,
3278
- "raw_text": "n/a",
3279
- "normalized_score": null,
3280
- "metric_key": "mrr",
3281
- "source": null,
3282
  "scope": "multi_episode_128_partial_model_overlay",
3283
- "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"
3284
  },
3285
  {
3286
  "task_number": 19,
 
1
  {
2
  "title": "Task Method 20-Result Matrix",
3
  "status": "pass",
4
+ "generated_at_utc": "2026-06-20T13:58:04+00:00",
5
  "task_count": 20,
6
  "method_count": 9,
7
  "method_task_record_count": 180,
8
+ "scored_method_task_count": 164,
9
  "series": [
10
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11
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3285
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3286
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2498
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2499
  "title": "Cosmos3-Super Reasoner",
2500
  "status": "verified_base_weight_eval",
2501
- "coverage": "20 records / 10 scored task-aligned axes",
2502
  "headline": "JSON validity 0.5112; action macro-F1 0.0008",
2503
  "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json"
2504
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@@ -3300,17 +3300,17 @@
3300
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3301
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3302
  "method": "Cosmos3-Super Reasoner",
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3316
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@@ -3948,17 +3948,17 @@
3948
  "task_label": "Cross-Modal Retrieval",
3949
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3950
  "method": "Cosmos3-Super Reasoner",
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3961
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3962
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3963
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3964
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@@ -4110,17 +4110,17 @@
4110
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4112
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4126
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@@ -5406,17 +5406,17 @@
5406
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5407
  "series_id": "cosmos3_super_reasoner",
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  "method": "Cosmos3-Super Reasoner",
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5420
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5421
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5422
  "task_number": 18,
@@ -5568,17 +5568,17 @@
5568
  "task_label": "Camera-View Synchronization Retrieval",
5569
  "series_id": "cosmos3_super_reasoner",
5570
  "method": "Cosmos3-Super Reasoner",
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5582
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5583
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5584
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1
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2
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3
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results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/RUN_REPORT.md ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Cosmos3-Super Reasoner Retrieval Task Probes
2
+
3
+ - Run ID: `xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620`
4
+ - Shards: `4`
5
+
6
+ | Task | Metric | Score | Samples |
7
+ | --- | --- | ---: | ---: |
8
+ | Hand Trajectory Forecasting | hand_trajectory_forecast_mrr | 0.891525 | 3951 |
9
+ | Cross-Modal Retrieval | cross_modal_retrieval_mrr | 0.662849 | 3951 |
10
+ | Cross-Modal Reconstruction | modality_reconstruction_mrr | 0.993947 | 3951 |
11
+ | Camera-View Sync Retrieval | camera_view_sync_retrieval_mrr | 0.997975 | 3951 |
12
+ | IMU-to-Hand Pose Reconstruction | imu_to_hand_pose_mrr | 0.989665 | 3951 |
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+ {
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+ "eval_split": "test",
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+ "future_frames": 100,
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+ "hand_trajectory_forecast_mrr": 0.9979751961528727,
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+ "imu_to_hand_pose_mrr": 0.9979751961528727,
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+ "metric_key": "camera_view_sync_retrieval_mrr",
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+ "num_samples": 3951,
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+ "primary_metric": "camera_view_sync_retrieval_mrr",
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+ "primary_score": 0.9979751961528727,
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+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
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+ "sample_offset": 0,
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+ "sample_stride": 1,
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+ "scope": "held_out_test_qwen3_retrieval_task_probe",
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+ "score_policy": "GPU-backed Qwen3-Omni v6 camera-view synchronization retrieval probe. The prompt shows one camera view as the reference and asks the model to rank shuffled candidate views; the true target is a different camera from the same held-out time window. When raw per-view videos are absent, the evaluator crops the corresponding view tile from the staged multi-view mosaic video. No action, subtask, object, or future labels are included.",
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+ "status": "pass",
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+ "task_id": "camera_view_sync_retrieval",
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+ "task_label": "Camera-View Sync Retrieval",
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+ "task_number": 19,
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+ "title": "Qwen3-Omni v6 Camera-View Sync Retrieval",
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+ "top1_accuracy": 0.9959503923057453
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+ }
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+ {
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+ },
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+ {
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+ "metric_key": "camera_view_sync_retrieval_mrr",
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+ "num_samples": 3951,
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+ "task_id": "camera_view_sync_retrieval"
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+ ],
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+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
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+ "status": "pass",
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+ "summary": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json",
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+ "title": "Cosmos3-Super Retrieval Task Probe Collection Validation",
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+ "validated_task_count": 5
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+ "sample_offset": 0,
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+ "sample_stride": 1,
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+ "scope": "held_out_test_qwen3_retrieval_task_probe",
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+ "score_policy": "GPU-backed Qwen3-Omni v6 sensor-to-video retrieval probe. The query is a compact summary of held-out motion-capture, body-contact, camera-pose, and IMU feature blocks; candidates are shuffled staged mosaic video windows, and the score is MRR of the synchronized true window. No action/subtask/object labels are included in the query.",
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+ "status": "pass",
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+ "task_id": "cross_modal_retrieval",
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+ "task_label": "Cross-Modal Retrieval",
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+ "task_number": 9,
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+ "title": "Qwen3-Omni v6 Cross-Modal Retrieval",
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+ "caption_grounding_mrr": 0.8915253522315043,
6
+ "cross_modal_retrieval_mrr": 0.8915253522315043,
7
+ "dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
8
+ "eval_split": "test",
9
+ "future_frames": 100,
10
+ "hand_trajectory_forecast_mrr": 0.8915253522315043,
11
+ "imu_to_hand_pose_mrr": 0.8915253522315043,
12
+ "metric_key": "hand_trajectory_forecast_mrr",
13
+ "modality_reconstruction_mrr": 0.8915253522315043,
14
+ "model_id": null,
15
+ "mrr": 0.8915253522315043,
16
+ "num_samples": 3951,
17
+ "primary_metric": "hand_trajectory_forecast_mrr",
18
+ "primary_score": 0.8915253522315043,
19
+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
20
+ "sample_offset": 0,
21
+ "sample_stride": 1,
22
+ "scope": "held_out_test_qwen3_retrieval_task_probe",
23
+ "score_policy": "GPU-backed Qwen3-Omni v6 future hand-trajectory retrieval probe. The prompt shows the held-out current video window and asks the model to rank shuffled compact hand-pose target summaries; the true target is the staged hand-joint feature block from the window at the configured future-frame offset. This avoids asking the language model to emit hundreds of raw pose floats while still scoring against real exported hand targets.",
24
+ "status": "pass",
25
+ "task_id": "hand_trajectory_forecast",
26
+ "task_label": "Hand Trajectory Forecasting",
27
+ "task_number": 5,
28
+ "title": "Qwen3-Omni v6 Hand Trajectory Forecasting",
29
+ "top1_accuracy": 0.8301695773221969
30
+ }
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_dir": ".",
3
+ "camera_view_sync_retrieval_mrr": 0.9896650636969544,
4
+ "candidate_count": 4,
5
+ "caption_grounding_mrr": 0.9896650636969544,
6
+ "cross_modal_retrieval_mrr": 0.9896650636969544,
7
+ "dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
8
+ "eval_split": "test",
9
+ "future_frames": 100,
10
+ "hand_trajectory_forecast_mrr": 0.9896650636969544,
11
+ "imu_to_hand_pose_mrr": 0.9896650636969544,
12
+ "metric_key": "imu_to_hand_pose_mrr",
13
+ "modality_reconstruction_mrr": 0.9896650636969544,
14
+ "model_id": null,
15
+ "mrr": 0.9896650636969544,
16
+ "num_samples": 3951,
17
+ "primary_metric": "imu_to_hand_pose_mrr",
18
+ "primary_score": 0.9896650636969544,
19
+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
20
+ "sample_offset": 0,
21
+ "sample_stride": 1,
22
+ "scope": "held_out_test_qwen3_retrieval_task_probe",
23
+ "score_policy": "GPU-backed Qwen3-Omni v6 IMU-to-hand-pose retrieval probe. The query is the held-out IMU accel/gyro summary and candidates are shuffled compact hand-joint summaries from the staged sensor shards; the score is MRR of the synchronized true hand-pose target.",
24
+ "status": "pass",
25
+ "task_id": "imu_to_hand_pose",
26
+ "task_label": "IMU-to-Hand Pose Reconstruction",
27
+ "task_number": 18,
28
+ "title": "Qwen3-Omni v6 IMU-to-Hand Pose Reconstruction",
29
+ "top1_accuracy": 0.9832953682611997
30
+ }
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_dir": ".",
3
+ "camera_view_sync_retrieval_mrr": 0.9939466801653591,
4
+ "candidate_count": 4,
5
+ "caption_grounding_mrr": 0.9939466801653591,
6
+ "cross_modal_retrieval_mrr": 0.9939466801653591,
7
+ "dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
8
+ "eval_split": "test",
9
+ "future_frames": 100,
10
+ "hand_trajectory_forecast_mrr": 0.9939466801653591,
11
+ "imu_to_hand_pose_mrr": 0.9939466801653591,
12
+ "metric_key": "modality_reconstruction_mrr",
13
+ "modality_reconstruction_mrr": 0.9939466801653591,
14
+ "model_id": null,
15
+ "mrr": 0.9939466801653591,
16
+ "num_samples": 3951,
17
+ "primary_metric": "modality_reconstruction_mrr",
18
+ "primary_score": 0.9939466801653591,
19
+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
20
+ "sample_offset": 0,
21
+ "sample_stride": 1,
22
+ "scope": "held_out_test_qwen3_retrieval_task_probe",
23
+ "score_policy": "GPU-backed Qwen3-Omni v6 cross-modal reconstruction retrieval probe. The query is a compact summary of motion-capture, body-contact, camera-pose, and IMU feature blocks; candidates are shuffled compact visual/depth/calibration target summaries from staged sensor shards, and the score is MRR of the synchronized true target.",
24
+ "status": "pass",
25
+ "task_id": "modality_reconstruction",
26
+ "task_label": "Cross-Modal Reconstruction",
27
+ "task_number": 10,
28
+ "title": "Qwen3-Omni v6 Cross-Modal Reconstruction",
29
+ "top1_accuracy": 0.9893697798025817
30
+ }
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/predictions.csv ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
3
+ "shard_dirs": [
4
+ "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0",
5
+ "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1",
6
+ "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2",
7
+ "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3"
8
+ ],
9
+ "status": "pass",
10
+ "tasks": {
11
+ "camera_view_sync_retrieval": {
12
+ "metric_key": "camera_view_sync_retrieval_mrr",
13
+ "metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json",
14
+ "num_samples": 3951,
15
+ "primary_score": 0.9979751961528727,
16
+ "task_label": "Camera-View Sync Retrieval",
17
+ "task_number": 19
18
+ },
19
+ "cross_modal_retrieval": {
20
+ "metric_key": "cross_modal_retrieval_mrr",
21
+ "metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json",
22
+ "num_samples": 3951,
23
+ "primary_score": 0.6628490677465636,
24
+ "task_label": "Cross-Modal Retrieval",
25
+ "task_number": 9
26
+ },
27
+ "hand_trajectory_forecast": {
28
+ "metric_key": "hand_trajectory_forecast_mrr",
29
+ "metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json",
30
+ "num_samples": 3951,
31
+ "primary_score": 0.8915253522315043,
32
+ "task_label": "Hand Trajectory Forecasting",
33
+ "task_number": 5
34
+ },
35
+ "imu_to_hand_pose": {
36
+ "metric_key": "imu_to_hand_pose_mrr",
37
+ "metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json",
38
+ "num_samples": 3951,
39
+ "primary_score": 0.9896650636969544,
40
+ "task_label": "IMU-to-Hand Pose Reconstruction",
41
+ "task_number": 18
42
+ },
43
+ "modality_reconstruction": {
44
+ "metric_key": "modality_reconstruction_mrr",
45
+ "metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json",
46
+ "num_samples": 3951,
47
+ "primary_score": 0.9939466801653591,
48
+ "task_label": "Cross-Modal Reconstruction",
49
+ "task_number": 10
50
+ }
51
+ },
52
+ "title": "Cosmos3-Super Reasoner Retrieval Task Probes"
53
+ }
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0.progress.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1.progress.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2.progress.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3.progress.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
scripts/build_unified_task_model_radar.py CHANGED
@@ -78,7 +78,12 @@ QWEN_INTERACTION_TEXT_PROBE_DIR = (
78
  COSMOS_SUPER_RETRIEVAL_TASK_PROBE_DIR = (
79
  ROOT
80
  / "results/omni_finetune"
81
- / "xperience10m_cosmos3_super_retrieval_task_probes_a100_20260619T000000Z"
 
 
 
 
 
82
  )
83
  QWEN_ACTION_OBJECT_METRICS_PATH = (
84
  MODEL_OUTPUT_TASK_PROBE_DIR / "action_object_relation/qwen3_omni_v6_lora/metrics.json"
@@ -157,6 +162,18 @@ COSMOS_SUPER_RETRIEVAL_TASK_METRIC_KEYS = {
157
  "imu_to_hand_pose": "imu_to_hand_pose_mrr",
158
  "camera_view_sync_retrieval": "camera_view_sync_retrieval_mrr",
159
  }
 
 
 
 
 
 
 
 
 
 
 
 
160
  OUTPUT_JSON = ROOT / "docs/data/unified_task_model_radar.json"
161
  OUTPUT_SINGLE_JSON = ROOT / "docs/data/single_episode_task_model_radar.json"
162
  OUTPUT_128_JSON = ROOT / "docs/data/episode128_task_model_radar.json"
@@ -369,7 +386,7 @@ METHOD_DETAILS = {
369
  "raw128_simple": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
370
  "raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
371
  "qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.",
372
- "cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 8/16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
373
  "cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/16/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
374
  }
375
 
@@ -429,6 +446,14 @@ def foundation_task_metric_mapping(
429
  continue
430
  cosmos_super_metrics[metric_key] = metric_value
431
  mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
 
 
 
 
 
 
 
 
432
  return mapping
433
 
434
 
 
78
  COSMOS_SUPER_RETRIEVAL_TASK_PROBE_DIR = (
79
  ROOT
80
  / "results/omni_finetune"
81
+ / "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620"
82
+ )
83
+ COSMOS_SUPER_FUTURE_TASK_PROBE_DIR = (
84
+ ROOT
85
+ / "results/omni_finetune"
86
+ / "xperience10m_cosmos3_super_future_task_probes_a100_textonly_v1_20260620"
87
  )
88
  QWEN_ACTION_OBJECT_METRICS_PATH = (
89
  MODEL_OUTPUT_TASK_PROBE_DIR / "action_object_relation/qwen3_omni_v6_lora/metrics.json"
 
162
  "imu_to_hand_pose": "imu_to_hand_pose_mrr",
163
  "camera_view_sync_retrieval": "camera_view_sync_retrieval_mrr",
164
  }
165
+ COSMOS_SUPER_FUTURE_TASK_METRIC_PATHS = {
166
+ "temporal_order": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "temporal_order/metrics.json",
167
+ "misalignment_detection": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "misalignment_detection/metrics.json",
168
+ "next_subtask_forecast": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "next_subtask_forecast/metrics.json",
169
+ "object_set_forecast": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "object_set_forecast/metrics.json",
170
+ }
171
+ COSMOS_SUPER_FUTURE_TASK_METRIC_KEYS = {
172
+ "temporal_order": "temporal_order_f1",
173
+ "misalignment_detection": "misalignment_detection_f1",
174
+ "next_subtask_forecast": "next_subtask_forecast_macro_f1",
175
+ "object_set_forecast": "object_set_forecast_micro_f1",
176
+ }
177
  OUTPUT_JSON = ROOT / "docs/data/unified_task_model_radar.json"
178
  OUTPUT_SINGLE_JSON = ROOT / "docs/data/single_episode_task_model_radar.json"
179
  OUTPUT_128_JSON = ROOT / "docs/data/episode128_task_model_radar.json"
 
386
  "raw128_simple": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
387
  "raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
388
  "qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.",
389
+ "cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 5/8/9/10/11/12/13/14/16/17/18/19/20 probes where public metrics exist.",
390
  "cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/16/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
391
  }
392
 
 
446
  continue
447
  cosmos_super_metrics[metric_key] = metric_value
448
  mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
449
+ for task_id, path in COSMOS_SUPER_FUTURE_TASK_METRIC_PATHS.items():
450
+ payload = read_json(path)
451
+ metric_key = COSMOS_SUPER_FUTURE_TASK_METRIC_KEYS[task_id]
452
+ metric_value = payload.get(metric_key)
453
+ if payload.get("status") != "pass" or not isinstance(metric_value, (int, float)):
454
+ continue
455
+ cosmos_super_metrics[metric_key] = metric_value
456
+ mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
457
  return mapping
458
 
459
 
scripts/sync_hf_publish_mirrors.py CHANGED
@@ -536,6 +536,8 @@ def main() -> int:
536
  | set(parity.model_output_task_probe_result_files())
537
  | set(parity.qwen3_future_task_probe_result_files())
538
  | set(parity.qwen3_retrieval_task_probe_result_files())
 
 
539
  )
540
  for filename in result_files:
541
  src = ROOT / "results" / filename
@@ -554,6 +556,8 @@ def main() -> int:
554
  | set(parity.model_output_task_probe_result_files())
555
  | set(parity.qwen3_future_task_probe_result_files())
556
  | set(parity.qwen3_retrieval_task_probe_result_files())
 
 
557
  )
558
  for filename in space_result_files:
559
  src = ROOT / "results" / filename
 
536
  | set(parity.model_output_task_probe_result_files())
537
  | set(parity.qwen3_future_task_probe_result_files())
538
  | set(parity.qwen3_retrieval_task_probe_result_files())
539
+ | set(parity.cosmos3_super_retrieval_task_probe_result_files())
540
+ | set(parity.cosmos3_super_future_task_probe_result_files())
541
  )
542
  for filename in result_files:
543
  src = ROOT / "results" / filename
 
556
  | set(parity.model_output_task_probe_result_files())
557
  | set(parity.qwen3_future_task_probe_result_files())
558
  | set(parity.qwen3_retrieval_task_probe_result_files())
559
+ | set(parity.cosmos3_super_retrieval_task_probe_result_files())
560
+ | set(parity.cosmos3_super_future_task_probe_result_files())
561
  )
562
  for filename in space_result_files:
563
  src = ROOT / "results" / filename
scripts/validate_mirror_parity.py CHANGED
@@ -26,6 +26,12 @@ QWEN3_RETRIEVAL_TASK_PROBE_RUN_IDS = [
26
  "xperience10m_qwen3_omni_v6_sensor_target_probes_a100_20260619T000000Z",
27
  "xperience10m_qwen3_omni_v6_interaction_text_task15_a100_20260620T010305Z",
28
  ]
 
 
 
 
 
 
29
 
30
  DATA_FILES = [
31
  "additional_development_directions.json",
@@ -129,16 +135,21 @@ SCRIPT_FILES = [
129
  "omni/build_128_episode_feature_index.py",
130
  "omni/collect_qwen3_future_task_probe_results.sh",
131
  "omni/collect_qwen3_retrieval_task_probe_results.sh",
 
 
132
  "omni/collect_qwen3_v4_release_artifacts.py",
133
  "omni/defer_cosmos3_super_after_qwen_v4.sh",
134
  "omni/defer_qwen3_retrieval_after_order_sync.sh",
135
  "omni/defer_qwen3_fullparam_after_verified_qwen.sh",
136
  "omni/eval_qwen3_omni_future_task_probes.py",
137
  "omni/eval_qwen3_omni_retrieval_task_probes.py",
 
 
138
  "omni/export_cosmos3_camera_pose_targets.py",
139
  "omni/launch_all_task_model_scoring_when_free.sh",
140
  "omni/merge_qwen3_omni_future_task_probe_shards.py",
141
  "omni/merge_qwen3_omni_retrieval_task_probe_shards.py",
 
142
  "omni/pack_cosmos3_super_action_batch.py",
143
  "omni/prepare_cosmos3_super_lora_hf_package.py",
144
  "omni/prepare_qwen3_lora_hf_package.py",
@@ -147,6 +158,8 @@ SCRIPT_FILES = [
147
  "omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
148
  "omni/run_qwen3_omni_future_task_probes_sharded.sh",
149
  "omni/run_qwen3_omni_retrieval_task_probes_sharded.sh",
 
 
150
  "omni/score_existing_model_output_task_probes.py",
151
  "omni/score_model_output_probes.py",
152
  "omni/run_128_task_baselines.py",
@@ -479,6 +492,44 @@ def qwen3_retrieval_task_probe_result_files() -> list[str]:
479
  return sorted(set(files))
480
 
481
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
482
  def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
483
  local = file_record(local_path, hf_root)
484
  mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
@@ -582,6 +633,8 @@ def build_report(hf_root: Path) -> dict:
582
  | set(model_output_task_probe_result_files())
583
  | set(qwen3_future_task_probe_result_files())
584
  | set(qwen3_retrieval_task_probe_result_files())
 
 
585
  )
586
  for filename in result_files:
587
  groups.append(
@@ -602,6 +655,8 @@ def build_report(hf_root: Path) -> dict:
602
  | set(model_output_task_probe_result_files())
603
  | set(qwen3_future_task_probe_result_files())
604
  | set(qwen3_retrieval_task_probe_result_files())
 
 
605
  )
606
  for filename in space_result_files:
607
  groups.append(
 
26
  "xperience10m_qwen3_omni_v6_sensor_target_probes_a100_20260619T000000Z",
27
  "xperience10m_qwen3_omni_v6_interaction_text_task15_a100_20260620T010305Z",
28
  ]
29
+ COSMOS3_SUPER_RETRIEVAL_TASK_PROBE_RUN_IDS = [
30
+ "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
31
+ ]
32
+ COSMOS3_SUPER_FUTURE_TASK_PROBE_RUN_IDS = [
33
+ "xperience10m_cosmos3_super_future_task_probes_a100_textonly_v1_20260620",
34
+ ]
35
 
36
  DATA_FILES = [
37
  "additional_development_directions.json",
 
135
  "omni/build_128_episode_feature_index.py",
136
  "omni/collect_qwen3_future_task_probe_results.sh",
137
  "omni/collect_qwen3_retrieval_task_probe_results.sh",
138
+ "omni/collect_cosmos3_super_retrieval_task_probe_results.sh",
139
+ "omni/collect_cosmos3_super_future_task_probe_results.sh",
140
  "omni/collect_qwen3_v4_release_artifacts.py",
141
  "omni/defer_cosmos3_super_after_qwen_v4.sh",
142
  "omni/defer_qwen3_retrieval_after_order_sync.sh",
143
  "omni/defer_qwen3_fullparam_after_verified_qwen.sh",
144
  "omni/eval_qwen3_omni_future_task_probes.py",
145
  "omni/eval_qwen3_omni_retrieval_task_probes.py",
146
+ "omni/eval_cosmos3_super_future_task_probes.py",
147
+ "omni/eval_cosmos3_super_retrieval_task_probes.py",
148
  "omni/export_cosmos3_camera_pose_targets.py",
149
  "omni/launch_all_task_model_scoring_when_free.sh",
150
  "omni/merge_qwen3_omni_future_task_probe_shards.py",
151
  "omni/merge_qwen3_omni_retrieval_task_probe_shards.py",
152
+ "omni/merge_cosmos3_super_future_task_probe_shards.py",
153
  "omni/pack_cosmos3_super_action_batch.py",
154
  "omni/prepare_cosmos3_super_lora_hf_package.py",
155
  "omni/prepare_qwen3_lora_hf_package.py",
 
158
  "omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
159
  "omni/run_qwen3_omni_future_task_probes_sharded.sh",
160
  "omni/run_qwen3_omni_retrieval_task_probes_sharded.sh",
161
+ "omni/run_cosmos3_super_future_task_probes_sharded.sh",
162
+ "omni/run_cosmos3_super_retrieval_task_probes_sharded.sh",
163
  "omni/score_existing_model_output_task_probes.py",
164
  "omni/score_model_output_probes.py",
165
  "omni/run_128_task_baselines.py",
 
492
  return sorted(set(files))
493
 
494
 
495
+ def cosmos3_super_retrieval_task_probe_result_files() -> list[str]:
496
+ """Return public-safe Cosmos3-Super retrieval probe outputs."""
497
+
498
+ files: list[str] = []
499
+ compact_names = {"RUN_REPORT.md", "collection_validation.json", "metrics.json", "server_info.json", "summary.json"}
500
+ for run_id in COSMOS3_SUPER_RETRIEVAL_TASK_PROBE_RUN_IDS:
501
+ result_root = ROOT / "results/omni_finetune" / run_id
502
+ if result_root.exists():
503
+ for path in result_root.rglob("*"):
504
+ if path.is_file() and (path.name in compact_names or path.name.endswith(".progress.jsonl")):
505
+ files.append(path.relative_to(ROOT / "results").as_posix())
506
+
507
+ for suffix in ("launch", "launcher", "runner"):
508
+ launch_log = ROOT / "results/omni_finetune/deferred_launchers" / f"{run_id}.{suffix}.log"
509
+ if launch_log.is_file():
510
+ files.append(launch_log.relative_to(ROOT / "results").as_posix())
511
+ return sorted(set(files))
512
+
513
+
514
+ def cosmos3_super_future_task_probe_result_files() -> list[str]:
515
+ """Return public-safe Cosmos3-Super future-task probe outputs."""
516
+
517
+ files: list[str] = []
518
+ compact_names = {"RUN_REPORT.md", "collection_validation.json", "metrics.json", "server_info.json", "summary.json"}
519
+ for run_id in COSMOS3_SUPER_FUTURE_TASK_PROBE_RUN_IDS:
520
+ result_root = ROOT / "results/omni_finetune" / run_id
521
+ if result_root.exists():
522
+ for path in result_root.rglob("*"):
523
+ if path.is_file() and (path.name in compact_names or path.name.endswith(".progress.jsonl")):
524
+ files.append(path.relative_to(ROOT / "results").as_posix())
525
+
526
+ for suffix in ("launch", "launcher", "runner"):
527
+ launch_log = ROOT / "results/omni_finetune/deferred_launchers" / f"{run_id}.{suffix}.log"
528
+ if launch_log.is_file():
529
+ files.append(launch_log.relative_to(ROOT / "results").as_posix())
530
+ return sorted(set(files))
531
+
532
+
533
  def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
534
  local = file_record(local_path, hf_root)
535
  mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
 
633
  | set(model_output_task_probe_result_files())
634
  | set(qwen3_future_task_probe_result_files())
635
  | set(qwen3_retrieval_task_probe_result_files())
636
+ | set(cosmos3_super_retrieval_task_probe_result_files())
637
+ | set(cosmos3_super_future_task_probe_result_files())
638
  )
639
  for filename in result_files:
640
  groups.append(
 
655
  | set(model_output_task_probe_result_files())
656
  | set(qwen3_future_task_probe_result_files())
657
  | set(qwen3_retrieval_task_probe_result_files())
658
+ | set(cosmos3_super_retrieval_task_probe_result_files())
659
+ | set(cosmos3_super_future_task_probe_result_files())
660
  )
661
  for filename in space_result_files:
662
  groups.append(
scripts/validate_publication_package.py CHANGED
@@ -383,6 +383,13 @@ def required_assets(root: Path) -> dict[str, bool]:
383
  "scripts/omni/build_128_episode_feature_index.py",
384
  "scripts/omni/build_task_suite_enhancement_128.py",
385
  "scripts/omni/collect_qwen3_retrieval_task_probe_results.sh",
 
 
 
 
 
 
 
386
  "scripts/omni/train_qwen3_omni_lora.py",
387
  "results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json",
388
  "results/omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md",
 
383
  "scripts/omni/build_128_episode_feature_index.py",
384
  "scripts/omni/build_task_suite_enhancement_128.py",
385
  "scripts/omni/collect_qwen3_retrieval_task_probe_results.sh",
386
+ "scripts/omni/collect_cosmos3_super_retrieval_task_probe_results.sh",
387
+ "scripts/omni/collect_cosmos3_super_future_task_probe_results.sh",
388
+ "scripts/omni/eval_cosmos3_super_future_task_probes.py",
389
+ "scripts/omni/eval_cosmos3_super_retrieval_task_probes.py",
390
+ "scripts/omni/merge_cosmos3_super_future_task_probe_shards.py",
391
+ "scripts/omni/run_cosmos3_super_future_task_probes_sharded.sh",
392
+ "scripts/omni/run_cosmos3_super_retrieval_task_probes_sharded.sh",
393
  "scripts/omni/train_qwen3_omni_lora.py",
394
  "results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json",
395
  "results/omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md",