Add files using upload-large-folder tool

PROJECT_README.md

@@ -329,6 +329,9 @@ task metrics. The machine-readable copies are
 [`docs/data/unified_task_model_radar.json`](docs/data/unified_task_model_radar.json)
 and
 [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json);
+the explicit score-gap ledger is
+[`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json)
+and [`TASK_METHOD_20_GAP_AUDIT.md`](TASK_METHOD_20_GAP_AUDIT.md);
 the reader-facing matrix is
 [`TASK_METHOD_20_RESULT_MATRIX.md`](TASK_METHOD_20_RESULT_MATRIX.md).
 
@@ -379,6 +382,7 @@ scripts/
   tier2_task_suite.py              # historical-name builder for tasks 13-20
   build_unified_task_suite.py       # builds TASK_SUITE_20.md and task_suite_20.json
   build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
+  build_task_method_20_gap_audit.py # builds the explicit 111/180 scored-cell gap ledger
   task_walkthroughs.py              # human-readable task-card and walkthrough-storyboard metadata
   generate_visualizations.py        # refreshes SVG charts + summary JSON
   render_task_suite_infographic.py  # renders the task-suite presentation PNG
@@ -422,6 +426,7 @@ docs/
   data/single_episode_task_model_radar.json # 1-episode split radar values
   data/episode128_task_model_radar.json # 128-episode split radar values
   data/task_method_20_result_matrix.json # 9-method x 20-task result matrix
+  data/task_method_20_gap_audit.json # explicit 111/180 scored-cell gap ledger
   data/evidence_contract.json       # machine-readable project scope
   data/artifact_index.json          # compact project-artifact catalog
   data/live_publication_status.json # live GitHub/HF publication verification
@@ -1007,6 +1012,8 @@ stable artifact links. They should be read as the result bundle for tasks
 - [`docs/data/single_episode_task_model_radar.json`](docs/data/single_episode_task_model_radar.json)
 - [`docs/data/episode128_task_model_radar.json`](docs/data/episode128_task_model_radar.json)
 - [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
+- [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json)
+- [`TASK_METHOD_20_GAP_AUDIT.md`](TASK_METHOD_20_GAP_AUDIT.md)
 - [`TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md)
 - [`tier2_task_suite_results.json`](results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json)
 - [`docs/data/tier2_task_suite.json`](docs/data/tier2_task_suite.json)

README.md

@@ -63,7 +63,8 @@ The historical `tier2_task_suite` path is retained only for stable artifact
 links to tasks 13-20. The unified radar chart is published as
 `docs/assets/charts/unified_task_model_radar.svg` with values in
 `docs/data/unified_task_model_radar.json`; the 9-method by 20-task
-completion matrix is in `docs/data/task_method_20_result_matrix.json`. Split radars are in
+completion matrix is in `docs/data/task_method_20_result_matrix.json`, with the explicit
+gap audit in `docs/data/task_method_20_gap_audit.json`. Split radars are in
 `docs/assets/charts/single_episode_task_model_radar.svg` and
 `docs/assets/charts/episode128_task_model_radar.svg`.
 

TASK_METHOD_20_GAP_AUDIT.md

@@ -0,0 +1,126 @@
+# Task Method 20-Result Gap Audit
+
+Generated: `2026-06-16T12:00:01+00:00`
+
+This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
+It keeps missing cells visible while preserving the rule that a numeric score
+requires a real task target and source artifact.
+
+## Score Summary
+
+- Method-task records: `180`
+- Numeric scored records: `111`
+- Scoreless records: `69`
+- Proxy-scored records: `4`
+- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
+
+## Method Coverage
+
+| Method | ID | Scored | Scoreless | Proxy | Status counts |
+| --- | --- | --- | --- | --- | --- |
+| Minimal | minimal | 20/20 | 0 | 0 | scored: 20 |
+| Neural MLP | neural_mlp | 20/20 | 0 | 0 | scored: 20 |
+| 128ep Metadata Simple | metadata128_simple | 8/20 | 12 | 0 | not_supported_by_metadata_only_package: 8, scored: 8, unsupported_without_required_target: 4 |
+| 128ep Metadata NN | metadata128_neural_mlp | 6/20 | 14 | 0 | not_supported_by_metadata_only_package: 14, scored: 6 |
+| 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
+| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
+| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 6/20 | 14 | 0 | not_evaluated_in_verified_package: 14, scored: 6 |
+| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 6/20 | 14 | 0 | not_evaluated_in_verified_package: 14, scored: 6 |
+| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 5/20 | 15 | 0 | not_evaluated_in_verified_package: 15, scored: 5 |
+
+## Gap Classes
+
+| Status | Count | Next step |
+| --- | --- | --- |
+| not_evaluated_in_verified_package | 43 | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| not_supported_by_metadata_only_package | 22 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| unsupported_without_required_target | 4 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+
+## Scoreless Records
+
+| Task | Task label | Method | Status | Required evidence |
+| --- | --- | --- | --- | --- |
+| 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. |
+| 05 | Hand Trajectory Forecasting | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+| 05 | Hand Trajectory Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 05 | Hand Trajectory Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 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. |
+| 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. |
+| 08 | Language Grounding | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 08 | Language Grounding | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 08 | Language Grounding | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 09 | Cross-Modal Retrieval | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+| 09 | Cross-Modal Retrieval | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 09 | Cross-Modal Retrieval | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 10 | Cross-Modal Reconstruction | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+| 10 | Cross-Modal Reconstruction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 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. |
+| 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. |
+| 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. |
+| 11 | Temporal Order Verification | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 11 | Temporal Order Verification | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 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. |
+| 12 | Multimodal Synchronization Detection | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+| 12 | Multimodal Synchronization Detection | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 12 | Multimodal Synchronization Detection | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 13 | Long-Horizon Next-Action Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 14 | Long-Horizon Next-Subtask Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 15 | Interaction Text Prediction | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 15 | Interaction Text Prediction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 15 | Interaction Text Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 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. |
+| 16 | Action-Object Relation Prediction | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 16 | Action-Object Relation Prediction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 16 | Action-Object Relation Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 16 | Action-Object Relation Prediction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 16 | Action-Object Relation Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 17 | Future Object-Set Forecasting | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 17 | Future Object-Set Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 17 | Future Object-Set Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 17 | Future Object-Set Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 18 | IMU-to-Hand Pose Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 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. |
+| 19 | Camera-View Synchronization Retrieval | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 19 | Camera-View Synchronization Retrieval | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 19 | Camera-View Synchronization Retrieval | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 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. |
+| 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. |
+| 20 | Time-to-Next-Transition Regression | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 20 | Time-to-Next-Transition Regression | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| 20 | Time-to-Next-Transition Regression | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 20 | Time-to-Next-Transition Regression | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| 20 | Time-to-Next-Transition Regression | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
+
+## Proxy Records
+
+| Task | Task label | Method | Metric | Proxy note |
+| --- | --- | --- | --- | --- |
+| 15 | Interaction Text Prediction | 128ep Raw Simple | macro_f1 | documented compact proxy completion for this raw128 task axis |
+| 15 | Interaction Text Prediction | 128ep Raw NN | macro_f1 | documented compact proxy completion for this raw128 task axis |
+| 19 | Camera-View Synchronization Retrieval | 128ep Raw Simple | mrr | documented compact proxy completion for this raw128 task axis |
+| 19 | Camera-View Synchronization Retrieval | 128ep Raw NN | mrr | documented compact proxy completion for this raw128 task axis |
+
+## Immediate Actions
+
+- Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish scored, proxy-scored, and scoreless cells.
+- Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to check whether train/validation/test model outputs are present before trying to extend Qwen3/Cosmos to all 20 task contracts.
+- Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for a real all-task scoring command when private GPU capacity is available.

data/artifact_index.json

@@ -1,19 +1,19 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-16T11:33:21+00:00",
+  "generated_at_utc": "2026-06-16T12:01:29+00:00",
   "status": "pass",
-  "artifact_count": 183,
+  "artifact_count": 189,
   "missing": [],
   "by_kind": {
     "project_path": 14,
     "scaleup_contract": 7,
-    "scaleup_status": 38,
-    "publication_workflow": 5,
+    "scaleup_status": 41,
+    "publication_workflow": 6,
     "reproducibility": 4,
     "project_scope": 1,
     "source_alignment": 5,
-    "evaluation_protocol": 7,
-    "website_data": 9,
+    "evaluation_protocol": 8,
+    "website_data": 10,
     "generated_figure": 7,
     "visualization_builder": 1,
     "model_result": 2,
@@ -465,7 +465,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "20df8bf51a9e380bb67cc4f8c802088030f42e421d4e7232ecd2f2f62e0e6cc7"
+      "sha256": "fce9e1525d5bfb4ddbdd0d36febfcf7df9f7115e29457f85ff322db1e7418a1d"
     },
     {
       "id": "source_alignment_validator",
@@ -632,6 +632,28 @@
       "bytes": 4224,
       "sha256": "fe14a0e1709a8bb5b9fb1fd720ffde0aecfed578329d8e1e71b352a83b23b1f8"
     },
+    {
+      "id": "task_method_20_gap_audit_json",
+      "title": "Task-method 20-result gap audit JSON",
+      "path": "docs/data/task_method_20_gap_audit.json",
+      "kind": "website_data",
+      "surface": "website_hf",
+      "shows": "Machine-readable 180-record gap ledger with 111 numeric scores, 69 scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
+      "exists": true,
+      "bytes": 59421,
+      "sha256": "872954cbf001c2286b186e17c8d590d9d637852cade0ecc2357c63247e4803fb"
+    },
+    {
+      "id": "task_method_20_gap_audit",
+      "title": "Task-method 20-result gap audit",
+      "path": "TASK_METHOD_20_GAP_AUDIT.md",
+      "kind": "evaluation_protocol",
+      "surface": "repo_hf",
+      "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.",
+      "exists": true,
+      "bytes": 16600,
+      "sha256": "e6bd5b49d01eb095fe6f0d38436e08f2c2ff1a4449f98a08928d51e965e563bb"
+    },
     {
       "id": "unified_task_model_radar_chart",
       "title": "Unified 20-task model radar",
@@ -676,6 +698,50 @@
       "bytes": 47539,
       "sha256": "23a655bc2ba72e5326a0db8a5cad06d297d5fb76d7985135192f1d34368b966b"
     },
+    {
+      "id": "task_method_20_gap_audit_builder",
+      "title": "Task-method gap-audit builder",
+      "path": "scripts/build_task_method_20_gap_audit.py",
+      "kind": "publication_workflow",
+      "surface": "repo_hf",
+      "shows": "Regenerates the public gap audit from the 9-method by 20-task matrix without inventing scores for unsupported or unevaluated cells.",
+      "exists": true,
+      "bytes": 9959,
+      "sha256": "6a0086ccbc567529b2b24061ca36228e8eac213331621bc66b96db2aea62e1f4"
+    },
+    {
+      "id": "all_task_model_scoring_waiter",
+      "title": "All-task model scoring guarded waiter",
+      "path": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "shows": "Launches a user-provided all-task model scoring command only after enough private GPU capacity is idle, writing status logs under results/omni_finetune/deferred_launchers.",
+      "exists": true,
+      "bytes": 3537,
+      "sha256": "e7cf8e6dcffcee6840f45047835c8f68bee83d1a80d1da5e35bb8274b6cb89a0"
+    },
+    {
+      "id": "model_output_probe_readiness",
+      "title": "Model-output probe readiness",
+      "path": "results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "shows": "Checks whether Qwen3/Cosmos branches have train, validation, and test prediction files before extending model overlays to all 20 task contracts.",
+      "exists": true,
+      "bytes": 5565,
+      "sha256": "62bde6c548c5c2dd70b41cd2c3967a92dc3bd1c93a12d2092643e220c7e4bdbd"
+    },
+    {
+      "id": "model_output_probe_script",
+      "title": "Model-output probe readiness script",
+      "path": "scripts/omni/score_model_output_probes.py",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "shows": "Audits model-output split availability and writes a readiness report without assigning new numeric task scores.",
+      "exists": true,
+      "bytes": 9133,
+      "sha256": "3a867d0333fe591999715158e311011db25da018ca39c9b4638930841f35efb8"
+    },
     {
       "id": "a100_128_metadata_task_baselines",
       "title": "128-episode metadata task baselines",
@@ -795,7 +861,7 @@
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
       "bytes": 6217,
-      "sha256": "d16e8f64afc588d6a69498244a9db6304350b14feee571b8c5e9c41f08541a00"
+      "sha256": "5ec54cfb09114042ada7aad54b3c8143b9b305bcd1f8ffd65d9f5116f3f19481"
     },
     {
       "id": "figure_index_json",
@@ -806,7 +872,7 @@
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 17287,
-      "sha256": "3a29f7fb5ea8f03231583df87e678384978911b52486e43f0d805d6d9f13f3d5"
+      "sha256": "66a495e656967f51f984f637c98aa4f3e5d16fdfdb05ae60660edebd84b0447d"
     },
     {
       "id": "figure_index_builder",
@@ -883,7 +949,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8100,
-      "sha256": "3f42f631cdd5bfbd7e51a911ae7c76b293818b0937428821a2a86c2a4dd5c98b"
+      "sha256": "9d6069e48f2ee57b910193ff3c5f52233c3864a85e3c4e753ecf6f2b411c54ac"
     },
     {
       "id": "public_surface_qa",
@@ -916,8 +982,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the public presentation report before release.",
       "exists": true,
-      "bytes": 12605,
-      "sha256": "3ad531eaea623a977b7f6831b9e1e49a60d61604f7639d5e7e47a1741cc05bab"
+      "bytes": 12651,
+      "sha256": "c95df2c4f875d9d6752619d81e139aa44d0192f5efc0cbf9948723a370905b3f"
     },
     {
       "id": "task_surface_integrity",
@@ -997,8 +1063,8 @@
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@@ -1030,8 +1096,8 @@
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data/mirror_parity.json

@@ -1,9 +1,9 @@
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@@ -138,45 +138,45 @@
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@@ -824,45 +824,45 @@
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@@ -873,45 +873,45 @@
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@@ -1560,44 +1560,44 @@
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+      "name": "results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
+      "status": "pass",
+      "local": {
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+          "sha256": "62bde6c548c5c2dd70b41cd2c3967a92dc3bd1c93a12d2092643e220c7e4bdbd"
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+        "hf_artifacts": {
+          "path": "hf_artifacts:results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
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+          "sha256": "62bde6c548c5c2dd70b41cd2c3967a92dc3bd1c93a12d2092643e220c7e4bdbd"
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+        "hf_model": {
+          "path": "hf_model:results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
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+          "sha256": "62bde6c548c5c2dd70b41cd2c3967a92dc3bd1c93a12d2092643e220c7e4bdbd"
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     {
       "name": "results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md",
       "status": "pass",
@@ -18341,6 +18527,37 @@
       },
       "failures": []
     },
+    {
+      "name": "docs/TASK_METHOD_20_GAP_AUDIT.md",
+      "status": "pass",
+      "local": {
+        "path": "repo:TASK_METHOD_20_GAP_AUDIT.md",
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+        "bytes": 16600,
+        "sha256": "e6bd5b49d01eb095fe6f0d38436e08f2c2ff1a4449f98a08928d51e965e563bb"
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+        },
+        "hf_artifacts": {
+          "path": "hf_artifacts:TASK_METHOD_20_GAP_AUDIT.md",
+          "exists": true,
+          "bytes": 16600,
+          "sha256": "e6bd5b49d01eb095fe6f0d38436e08f2c2ff1a4449f98a08928d51e965e563bb"
+        },
+        "hf_model": {
+          "path": "hf_model:TASK_METHOD_20_GAP_AUDIT.md",
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+          "bytes": 16600,
+          "sha256": "e6bd5b49d01eb095fe6f0d38436e08f2c2ff1a4449f98a08928d51e965e563bb"
+        }
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+      "failures": []
+    },
     {
       "name": "docs/TASK_METHOD_20_RESULT_MATRIX.md",
       "status": "pass",

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:38+00:00",
+  "generated_at_utc": "2026-06-16T12:04:40+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:08:31+00:00"
+          "generated_at_utc": "2026-06-16T12:01:39+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:08:48+00:00"
+          "generated_at_utc": "2026-06-16T12:01:37+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:08:48+00:00"
+          "generated_at_utc": "2026-06-16T12:01:37+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:08:50+00:00"
+          "generated_at_utc": "2026-06-16T12:01:40+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:08:38+00:00"
+          "generated_at_utc": "2026-06-16T12:04:24+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T11:09:07+00:00"
+          "generated_at_utc": "2026-06-16T12:03:33+00:00"
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       "failures": {}
@@ -134,6 +134,7 @@
         "data/single_episode_task_model_radar.json": 11,
         "data/episode128_task_model_radar.json": 11,
         "data/task_method_20_result_matrix.json": 17,
+        "data/task_method_20_gap_audit.json": 18,
         "assets/charts/unified_task_model_radar.svg": 17,
         "assets/charts/single_episode_task_model_radar.svg": 18,
         "assets/charts/episode128_task_model_radar.svg": 18,

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:34:16+00:00",
+  "generated_at_utc": "2026-06-16T12:04:24+00:00",
   "checks": [
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@@ -102,6 +102,7 @@
     "docs/data/single_episode_task_model_radar.json": true,
     "docs/data/episode128_task_model_radar.json": true,
     "docs/data/task_method_20_result_matrix.json": true,
+    "docs/data/task_method_20_gap_audit.json": true,
     "docs/data/task_suite_enhancement_128.json": true,
     "docs/assets/modalities/video.jpg": true,
     "docs/assets/modalities/audio.png": true,
@@ -135,6 +136,7 @@
     "scripts/build_evaluation_protocol.py": true,
     "scripts/build_unified_task_suite.py": true,
     "scripts/build_unified_task_model_radar.py": true,
+    "scripts/build_task_method_20_gap_audit.py": true,
     "scripts/build_figure_index.py": true,
     "scripts/build_quality_gates.py": true,
     "scripts/build_public_surface_qa.py": true,
@@ -198,8 +200,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1189,
-      "text_file_count": 994,
+      "file_count": 1196,
+      "text_file_count": 1001,
       "largest_file": {
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@@ -209,8 +211,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 972,
-      "text_file_count": 816,
+      "file_count": 976,
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       "largest_file": {
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@@ -220,8 +222,8 @@
     "hf_artifact_bundle": {
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-      "file_count": 2306,
-      "text_file_count": 1000,
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@@ -231,8 +233,8 @@
     "hf_model_bundle": {
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data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:37+00:00",
+  "generated_at_utc": "2026-06-16T12:04:40+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
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data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:54+00:00",
+  "generated_at_utc": "2026-06-16T12:01:40+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:38+00:00",
+  "generated_at_utc": "2026-06-16T12:01:37+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

data/task_method_20_gap_audit.json

@@ -0,0 +1,1210 @@
+{
+  "generated_at_utc": "2026-06-16T12:00:01+00:00",
+  "immediate_actions": [
+    {
+      "artifact": "docs/data/task_method_20_gap_audit.json",
+      "id": "gap_audit",
+      "purpose": "Keep the 69 scoreless cells visible and reproducible."
+    },
+    {
+      "artifact": "scripts/omni/score_model_output_probes.py",
+      "id": "model_output_probe",
+      "purpose": "Check whether train/validation/test model outputs exist before attempting all-task Qwen3/Cosmos scoring."
+    },
+    {
+      "artifact": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
+      "id": "guarded_gpu_launcher",
+      "purpose": "Start a user-provided all-task scoring command only after enough private GPU capacity is idle."
+    }
+  ],
+  "methods": {
+    "cosmos3_nano_future_window": {
+      "kind": "partial_128_episode_world_model_overlay",
+      "label": "Cosmos3-Nano Future Window",
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+      "result_record_count": 20,
+      "scope": "128 selected episodes, held-out test",
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+      "status_counts": {
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+        "scored": 5
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+    },
+    "cosmos3_super_reasoner": {
+      "kind": "partial_128_episode_foundation_model_overlay",
+      "label": "Cosmos3-Super Reasoner",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, held-out test",
+      "scored_task_count": 6,
+      "scoreless_task_count": 14,
+      "status_counts": {
+        "not_evaluated_in_verified_package": 14,
+        "scored": 6
+      }
+    },
+    "metadata128_neural_mlp": {
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+      "label": "128ep Metadata NN",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, JSONL metadata/text only",
+      "scored_task_count": 6,
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+      "status_counts": {
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+        "scored": 6
+      }
+    },
+    "metadata128_simple": {
+      "kind": "partial_128_episode_metadata_baseline",
+      "label": "128ep Metadata Simple",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, JSONL metadata/text only",
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+      "status_counts": {
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+        "scored": 8,
+        "unsupported_without_required_target": 4
+      }
+    },
+    "minimal": {
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+      "label": "Minimal",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "1 public sample episode",
+      "scored_task_count": 20,
+      "scoreless_task_count": 0,
+      "status_counts": {
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+      }
+    },
+    "neural_mlp": {
+      "kind": "full_20_task_baseline",
+      "label": "Neural MLP",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "1 public sample episode",
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+    },
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+      "label": "Qwen3-Omni v6 LoRA",
+      "proxy_scored_task_count": 0,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, held-out test",
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+      "status_counts": {
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+    },
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+      "label": "128ep Raw NN",
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+      "result_record_count": 20,
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
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+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
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+    "qwen3_omni_v6_lora": 14
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+    "not_supported_by_metadata_only_package": 22,
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+    "05 Hand Trajectory Forecasting": [
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+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
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+    "07 Object Relevance Prediction": [
+      "cosmos3_nano_future_window"
+    ],
+    "08 Language Grounding": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "qwen3_omni_v6_lora"
+    ],
+    "09 Cross-Modal Retrieval": [
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "10 Cross-Modal Reconstruction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
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+    "11 Temporal Order Verification": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "qwen3_omni_v6_lora"
+    ],
+    "12 Multimodal Synchronization Detection": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "13 Long-Horizon Next-Action Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "14 Long-Horizon Next-Subtask Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "15 Interaction Text Prediction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "16 Action-Object Relation Prediction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "17 Future Object-Set Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "18 IMU-to-Hand Pose Reconstruction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "19 Camera-View Synchronization Retrieval": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "20 Time-to-Next-Transition Regression": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ]
+  },
+  "missing_records": [
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+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "timeline_subtask",
+      "task_label": "Procedure Step Recognition",
+      "task_number": 2
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mpjpe",
+      "reason": "requires future hand-joint trajectories from raw sensor feature NPZ blocks, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mpjpe",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
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+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_relevance",
+      "task_label": "Object Relevance Prediction",
+      "task_number": 7
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mrr",
+      "reason": "requires paired motion/IMU/camera/audio/depth feature blocks, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "r2",
+      "reason": "requires source and target modality feature blocks such as depth/video vectors, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "r2",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "f1",
+      "reason": "requires deliberately shifted cross-modal feature pairs, which cannot be reconstructed from the public JSONL labels alone",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "micro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "micro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    }
+  ],
+  "proxy_records": [
+    {
+      "method": "128ep Raw Simple",
+      "metric_key": "macro_f1",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_simple",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Raw NN",
+      "metric_key": "macro_f1",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_neural_mlp",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Raw Simple",
+      "metric_key": "mrr",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_simple",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Raw NN",
+      "metric_key": "mrr",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_neural_mlp",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    }
+  ],
+  "score_summary": {
+    "method_count": 9,
+    "method_task_record_count": 180,
+    "proxy_scored_method_task_count": 4,
+    "scored_method_task_count": 111,
+    "scoreless_method_task_count": 69,
+    "task_count": 20
+  },
+  "source_matrix": "docs/data/task_method_20_result_matrix.json",
+  "status": "pass",
+  "target_policy": {
+    "numeric_score_gate": "A method-task cell is numeric only when a runner or verified package emits that exact task target and metric.",
+    "proxy_policy": "Proxy scores are allowed only when the matrix marks them as proxy_scored and keeps the reason/source attached.",
+    "scoreless_cell_policy": "Unsupported and not-evaluated cells stay explicit in the public matrix instead of being hidden or backfilled with proxy model claims."
+  },
+  "title": "Task Method 20-Result Gap Audit"
+}

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:38+00:00",
+  "generated_at_utc": "2026-06-16T12:01:37+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

data/website_integrity.json

@@ -1,13 +1,13 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:51+00:00",
+  "generated_at_utc": "2026-06-16T12:01:39+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
-    "local_references": 176,
+    "local_references": 178,
     "external_reference_count": 121,
-    "json_files": 45,
+    "json_files": 46,
     "image_assets_referenced": 25,
     "failure_count": 0
   },
@@ -80,8 +80,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 87077,
-      "evidence_index": 114423
+      "overview_index": 87155,
+      "evidence_index": 114501
     },
     {
       "name": "project_status_links_json",
@@ -159,9 +159,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 87077,
-      "protocol_index": 110604,
-      "evidence_index": 114423
+      "overview_index": 87155,
+      "protocol_index": 110682,
+      "evidence_index": 114501
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -180,7 +180,7 @@
       "status": "pass",
       "reason": "The Suite anchor should show the task-suite map before the modality atlas.",
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@@ -277,7 +277,7 @@
     {
       "path": "index.html",
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-      "reference_count": 152,
+      "reference_count": 154,
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@@ -301,7 +301,7 @@
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@@ -474,6 +474,11 @@
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+      "top_level_type": "dict"
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docs/data/artifact_index.json

@@ -1,19 +1,19 @@
 {
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@@ -465,7 +465,7 @@
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@@ -632,6 +632,28 @@
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+      "title": "Task-method 20-result gap audit JSON",
+      "path": "docs/data/task_method_20_gap_audit.json",
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+      "surface": "website_hf",
+      "shows": "Machine-readable 180-record gap ledger with 111 numeric scores, 69 scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
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+      "path": "TASK_METHOD_20_GAP_AUDIT.md",
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+      "surface": "repo_hf",
+      "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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@@ -676,6 +698,50 @@
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       "sha256": "23a655bc2ba72e5326a0db8a5cad06d297d5fb76d7985135192f1d34368b966b"
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+      "title": "Task-method gap-audit builder",
+      "path": "scripts/build_task_method_20_gap_audit.py",
+      "kind": "publication_workflow",
+      "surface": "repo_hf",
+      "shows": "Regenerates the public gap audit from the 9-method by 20-task matrix without inventing scores for unsupported or unevaluated cells.",
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+      "sha256": "6a0086ccbc567529b2b24061ca36228e8eac213331621bc66b96db2aea62e1f4"
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+      "title": "All-task model scoring guarded waiter",
+      "path": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "shows": "Launches a user-provided all-task model scoring command only after enough private GPU capacity is idle, writing status logs under results/omni_finetune/deferred_launchers.",
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+      "title": "Model-output probe readiness",
+      "path": "results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "shows": "Checks whether Qwen3/Cosmos branches have train, validation, and test prediction files before extending model overlays to all 20 task contracts.",
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+      "path": "scripts/omni/score_model_output_probes.py",
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+      "surface": "repo_hf",
+      "shows": "Audits model-output split availability and writes a readiness report without assigning new numeric task scores.",
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@@ -795,7 +861,7 @@
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@@ -806,7 +872,7 @@
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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@@ -883,7 +949,7 @@
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@@ -916,8 +982,8 @@
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@@ -997,8 +1063,8 @@
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@@ -1030,8 +1096,8 @@
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docs/data/mirror_parity.json

@@ -1,9 +1,9 @@
 {
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@@ -138,45 +138,45 @@
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@@ -824,45 +824,45 @@
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@@ -873,45 +873,45 @@
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@@ -1021,44 +1021,44 @@
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@@ -1462,44 +1462,44 @@
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@@ -10405,6 +10529,68 @@
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@@ -18341,6 +18527,37 @@
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docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
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+  "generated_at_utc": "2026-06-16T12:04:40+00:00",
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@@ -28,27 +28,27 @@
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@@ -198,8 +200,8 @@
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docs/data/quality_gates.json

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 {
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@@ -1,6 +1,6 @@
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docs/data/task_method_20_gap_audit.json

@@ -0,0 +1,1210 @@
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+    "raw128_neural_mlp": {
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "label": "128ep Raw NN",
+      "proxy_scored_task_count": 2,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
+      "scored_task_count": 20,
+      "scoreless_task_count": 0,
+      "status_counts": {
+        "proxy_scored": 2,
+        "scored": 18
+      }
+    },
+    "raw128_simple": {
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "label": "128ep Raw Simple",
+      "proxy_scored_task_count": 2,
+      "result_record_count": 20,
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
+      "scored_task_count": 20,
+      "scoreless_task_count": 0,
+      "status_counts": {
+        "proxy_scored": 2,
+        "scored": 18
+      }
+    }
+  },
+  "missing_by_method": {
+    "cosmos3_nano_future_window": 15,
+    "cosmos3_super_reasoner": 14,
+    "metadata128_neural_mlp": 14,
+    "metadata128_simple": 12,
+    "qwen3_omni_v6_lora": 14
+  },
+  "missing_by_status": {
+    "not_evaluated_in_verified_package": 43,
+    "not_supported_by_metadata_only_package": 22,
+    "unsupported_without_required_target": 4
+  },
+  "missing_by_task": {
+    "02 Procedure Step Recognition": [
+      "cosmos3_nano_future_window"
+    ],
+    "05 Hand Trajectory Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "07 Object Relevance Prediction": [
+      "cosmos3_nano_future_window"
+    ],
+    "08 Language Grounding": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "qwen3_omni_v6_lora"
+    ],
+    "09 Cross-Modal Retrieval": [
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "10 Cross-Modal Reconstruction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "11 Temporal Order Verification": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "qwen3_omni_v6_lora"
+    ],
+    "12 Multimodal Synchronization Detection": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "13 Long-Horizon Next-Action Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "14 Long-Horizon Next-Subtask Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "15 Interaction Text Prediction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "16 Action-Object Relation Prediction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "17 Future Object-Set Forecasting": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "18 IMU-to-Hand Pose Reconstruction": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "19 Camera-View Synchronization Retrieval": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ],
+    "20 Time-to-Next-Transition Regression": [
+      "cosmos3_nano_future_window",
+      "cosmos3_super_reasoner",
+      "metadata128_neural_mlp",
+      "metadata128_simple",
+      "qwen3_omni_v6_lora"
+    ]
+  },
+  "missing_records": [
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "timeline_subtask",
+      "task_label": "Procedure Step Recognition",
+      "task_number": 2
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mpjpe",
+      "reason": "requires future hand-joint trajectories from raw sensor feature NPZ blocks, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mpjpe",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mpjpe",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "hand_trajectory_forecast",
+      "task_label": "Hand Trajectory Forecasting",
+      "task_number": 5
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_relevance",
+      "task_label": "Object Relevance Prediction",
+      "task_number": 7
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "caption_grounding",
+      "task_label": "Language Grounding",
+      "task_number": 8
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mrr",
+      "reason": "requires paired motion/IMU/camera/audio/depth feature blocks, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "cross_modal_retrieval",
+      "task_label": "Cross-Modal Retrieval",
+      "task_number": 9
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "r2",
+      "reason": "requires source and target modality feature blocks such as depth/video vectors, which are not in the public 128 package",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "r2",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "r2",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "modality_reconstruction",
+      "task_label": "Cross-Modal Reconstruction",
+      "task_number": 10
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "temporal_order",
+      "task_label": "Temporal Order Verification",
+      "task_number": 11
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "f1",
+      "reason": "requires deliberately shifted cross-modal feature pairs, which cannot be reconstructed from the public JSONL labels alone",
+      "recommended_next_step": "Export the missing target field for this 128-episode method, then rerun the same train/validation/test split.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "unsupported_without_required_target",
+      "status_label": "unsupported",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "misalignment_detection",
+      "task_label": "Multimodal Synchronization Detection",
+      "task_number": 12
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "long_horizon_next_action",
+      "task_label": "Long-Horizon Next-Action Forecasting",
+      "task_number": 13
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "next_subtask_forecast",
+      "task_label": "Long-Horizon Next-Subtask Forecasting",
+      "task_number": 14
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "macro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "macro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "action_object_relation",
+      "task_label": "Action-Object Relation Prediction",
+      "task_number": 16
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "micro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "micro_f1",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "micro_f1",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "object_set_forecast",
+      "task_label": "Future Object-Set Forecasting",
+      "task_number": 17
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "imu_to_hand_pose",
+      "task_label": "IMU-to-Hand Pose Reconstruction",
+      "task_number": 18
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mrr",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mrr",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Metadata Simple",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_simple",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "128ep Metadata NN",
+      "metric_key": "mae",
+      "reason": "the 128-episode metadata/text rerun did not produce this task target; raw sensor blocks or a task-specific metadata target builder are required",
+      "recommended_next_step": "Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score.",
+      "scope": "multi_episode_128_metadata_baseline",
+      "series_id": "metadata128_neural_mlp",
+      "status": "not_supported_by_metadata_only_package",
+      "status_label": "not supported",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Qwen3-Omni v6 LoRA",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "qwen3_omni_v6_lora",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Cosmos3-Super Reasoner",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_super_reasoner",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    },
+    {
+      "method": "Cosmos3-Nano Future Window",
+      "metric_key": "mae",
+      "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",
+      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
+      "scope": "multi_episode_128_partial_model_overlay",
+      "series_id": "cosmos3_nano_future_window",
+      "status": "not_evaluated_in_verified_package",
+      "status_label": "not evaluated",
+      "task_id": "time_to_transition",
+      "task_label": "Time-to-Next-Transition Regression",
+      "task_number": 20
+    }
+  ],
+  "proxy_records": [
+    {
+      "method": "128ep Raw Simple",
+      "metric_key": "macro_f1",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_simple",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Raw NN",
+      "metric_key": "macro_f1",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_neural_mlp",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json",
+      "task_id": "interaction_text_prediction",
+      "task_label": "Interaction Text Prediction",
+      "task_number": 15
+    },
+    {
+      "method": "128ep Raw Simple",
+      "metric_key": "mrr",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_simple",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    },
+    {
+      "method": "128ep Raw NN",
+      "metric_key": "mrr",
+      "reason": "documented compact proxy completion for this raw128 task axis",
+      "series_id": "raw128_neural_mlp",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json",
+      "task_id": "camera_view_sync_retrieval",
+      "task_label": "Camera-View Synchronization Retrieval",
+      "task_number": 19
+    }
+  ],
+  "score_summary": {
+    "method_count": 9,
+    "method_task_record_count": 180,
+    "proxy_scored_method_task_count": 4,
+    "scored_method_task_count": 111,
+    "scoreless_method_task_count": 69,
+    "task_count": 20
+  },
+  "source_matrix": "docs/data/task_method_20_result_matrix.json",
+  "status": "pass",
+  "target_policy": {
+    "numeric_score_gate": "A method-task cell is numeric only when a runner or verified package emits that exact task target and metric.",
+    "proxy_policy": "Proxy scores are allowed only when the matrix marks them as proxy_scored and keeps the reason/source attached.",
+    "scoreless_cell_policy": "Unsupported and not-evaluated cells stay explicit in the public matrix instead of being hidden or backfilled with proxy model claims."
+  },
+  "title": "Task Method 20-Result Gap Audit"
+}

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:38+00:00",
+  "generated_at_utc": "2026-06-16T12:01:37+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

docs/data/website_integrity.json

@@ -1,13 +1,13 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T11:33:51+00:00",
+  "generated_at_utc": "2026-06-16T12:01:39+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
-    "local_references": 176,
+    "local_references": 178,
     "external_reference_count": 121,
-    "json_files": 45,
+    "json_files": 46,
     "image_assets_referenced": 25,
     "failure_count": 0
   },
@@ -80,8 +80,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 87077,
-      "evidence_index": 114423
+      "overview_index": 87155,
+      "evidence_index": 114501
     },
     {
       "name": "project_status_links_json",
@@ -159,9 +159,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 87077,
-      "protocol_index": 110604,
-      "evidence_index": 114423
+      "overview_index": 87155,
+      "protocol_index": 110682,
+      "evidence_index": 114501
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -180,7 +180,7 @@
       "status": "pass",
       "reason": "The Suite anchor should show the task-suite map before the modality atlas.",
       "first_marker_index": 471,
-      "second_marker_index": 3362
+      "second_marker_index": 3776
     },
     {
       "name": "suite_modality_atlas_contains_seven_cards",
@@ -277,7 +277,7 @@
     {
       "path": "index.html",
       "id_count": 90,
-      "reference_count": 152,
+      "reference_count": 154,
       "image_count": 31
     },
     {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 99966,
+      "bytes": 103135,
       "top_level_type": "dict"
     },
     {
@@ -474,6 +474,11 @@
       "bytes": 27807,
       "top_level_type": "dict"
     },
+    {
+      "path": "data/task_method_20_gap_audit.json",
+      "bytes": 59421,
+      "top_level_type": "dict"
+    },
     {
       "path": "data/task_method_20_result_matrix.json",
       "bytes": 129711,

docs/index.html

@@ -2859,6 +2859,7 @@
               <a href="assets/charts/episode128_task_model_radar.svg">128ep radar</a>
               <a href="data/unified_task_model_radar.json">Open radar JSON</a>
               <a href="data/task_method_20_result_matrix.json">Open 20-result matrix</a>
+              <a href="data/task_method_20_gap_audit.json">Open gap audit</a>
             </div>
           </div>
         </div>
@@ -3570,6 +3571,10 @@
             <h3>Metric normalization</h3>
             <p>Higher-is-better metrics are plotted directly on 0-1 axes. Lower-is-better metrics are converted to best/value within the task, while raw values, status reasons, sources, and the two raw128 compact proxy notes remain in the JSON mirrors.</p>
           </article>
+          <article class="figure-brief-card">
+            <h3>Score gap audit</h3>
+            <p>The matrix has 180 method-task records and 111 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
+          </article>
         </div>
         <img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v5" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
         <div class="split-radar-grid" aria-label="Split 20-task radar comparisons">
@@ -3589,6 +3594,7 @@
             <div class="split-radar-links">
               <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
               <a href="data/episode128_task_model_radar.json">Open JSON</a>
+              <a href="data/task_method_20_gap_audit.json">Gap audit</a>
             </div>
           </article>
         </div>

index.html

@@ -2859,6 +2859,7 @@
               <a href="assets/charts/episode128_task_model_radar.svg">128ep radar</a>
               <a href="data/unified_task_model_radar.json">Open radar JSON</a>
               <a href="data/task_method_20_result_matrix.json">Open 20-result matrix</a>
+              <a href="data/task_method_20_gap_audit.json">Open gap audit</a>
             </div>
           </div>
         </div>
@@ -3570,6 +3571,10 @@
             <h3>Metric normalization</h3>
             <p>Higher-is-better metrics are plotted directly on 0-1 axes. Lower-is-better metrics are converted to best/value within the task, while raw values, status reasons, sources, and the two raw128 compact proxy notes remain in the JSON mirrors.</p>
           </article>
+          <article class="figure-brief-card">
+            <h3>Score gap audit</h3>
+            <p>The matrix has 180 method-task records and 111 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
+          </article>
         </div>
         <img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v5" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
         <div class="split-radar-grid" aria-label="Split 20-task radar comparisons">
@@ -3589,6 +3594,7 @@
             <div class="split-radar-links">
               <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>
               <a href="data/episode128_task_model_radar.json">Open JSON</a>
+              <a href="data/task_method_20_gap_audit.json">Gap audit</a>
             </div>
           </article>
         </div>

results/omni_finetune/model_output_probe_readiness/RUN_REPORT.md

@@ -0,0 +1,13 @@
+# Model Output Probe Readiness
+
+Generated: `2026-06-16T12:00:01+00:00`
+
+This report checks whether verified model branches have the prediction files
+needed to extend them to every 20-task contract. It is readiness evidence only;
+it does not assign new task scores.
+
+| Method | ID | Matrix scores | Status | Split files | Next step |
+| --- | --- | --- | --- | --- | --- |
+| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 5/20 | missing_required_model_outputs | train: missing; validation: missing; test: missing | Collect or generate train, validation, and test prediction JSONL files first. |
+| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 6/20 | missing_required_model_outputs | train: missing; validation: missing; test: present | Collect or generate train, validation, and test prediction JSONL files first. |
+| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 6/20 | missing_required_model_outputs | train: missing; validation: missing; test: present | Collect or generate train, validation, and test prediction JSONL files first. |

results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json

@@ -0,0 +1,166 @@
+{
+  "generated_at_utc": "2026-06-16T12:00:01+00:00",
+  "methods": {
+    "cosmos3_nano_future_window": {
+      "label": "Cosmos3-Nano Future Window",
+      "matrix_scored_task_count": 5,
+      "matrix_scoreless_task_count": 15,
+      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "ready_for_all_task_probe": false,
+      "required_splits": [
+        "train",
+        "validation",
+        "test"
+      ],
+      "scoreless_task_ids": [
+        "timeline_subtask",
+        "hand_trajectory_forecast",
+        "object_relevance",
+        "caption_grounding",
+        "modality_reconstruction",
+        "temporal_order",
+        "misalignment_detection",
+        "long_horizon_next_action",
+        "next_subtask_forecast",
+        "interaction_text_prediction",
+        "action_object_relation",
+        "object_set_forecast",
+        "imu_to_hand_pose",
+        "camera_view_sync_retrieval",
+        "time_to_transition"
+      ],
+      "split_status": {
+        "test": {
+          "bytes": 0,
+          "checked": [
+            "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/predictions.jsonl",
+            "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/model_predictions.jsonl"
+          ],
+          "exists": false,
+          "path": null
+        },
+        "train": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        },
+        "validation": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        }
+      },
+      "status": "missing_required_model_outputs"
+    },
+    "cosmos3_super_reasoner": {
+      "label": "Cosmos3-Super Reasoner",
+      "matrix_scored_task_count": 6,
+      "matrix_scoreless_task_count": 14,
+      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "ready_for_all_task_probe": false,
+      "required_splits": [
+        "train",
+        "validation",
+        "test"
+      ],
+      "scoreless_task_ids": [
+        "hand_trajectory_forecast",
+        "caption_grounding",
+        "cross_modal_retrieval",
+        "modality_reconstruction",
+        "temporal_order",
+        "misalignment_detection",
+        "long_horizon_next_action",
+        "next_subtask_forecast",
+        "interaction_text_prediction",
+        "action_object_relation",
+        "object_set_forecast",
+        "imu_to_hand_pose",
+        "camera_view_sync_retrieval",
+        "time_to_transition"
+      ],
+      "split_status": {
+        "test": {
+          "bytes": 691175,
+          "checked": [
+            "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl"
+          ],
+          "exists": true,
+          "path": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl"
+        },
+        "train": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        },
+        "validation": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        }
+      },
+      "status": "missing_required_model_outputs"
+    },
+    "qwen3_omni_v6_lora": {
+      "label": "Qwen3-Omni v6 LoRA",
+      "matrix_scored_task_count": 6,
+      "matrix_scoreless_task_count": 14,
+      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "ready_for_all_task_probe": false,
+      "required_splits": [
+        "train",
+        "validation",
+        "test"
+      ],
+      "scoreless_task_ids": [
+        "hand_trajectory_forecast",
+        "caption_grounding",
+        "cross_modal_retrieval",
+        "modality_reconstruction",
+        "temporal_order",
+        "misalignment_detection",
+        "long_horizon_next_action",
+        "next_subtask_forecast",
+        "interaction_text_prediction",
+        "action_object_relation",
+        "object_set_forecast",
+        "imu_to_hand_pose",
+        "camera_view_sync_retrieval",
+        "time_to_transition"
+      ],
+      "split_status": {
+        "test": {
+          "bytes": 5111728,
+          "checked": [
+            "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl"
+          ],
+          "exists": true,
+          "path": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl"
+        },
+        "train": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        },
+        "validation": {
+          "bytes": 0,
+          "checked": [],
+          "exists": false,
+          "path": null
+        }
+      },
+      "status": "missing_required_model_outputs"
+    }
+  },
+  "ready_method_count": 0,
+  "scope": "This artifact checks readiness for extending verified model branches to all 20 task contracts. It does not create or infer numeric scores.",
+  "score_policy": "A scoreless Qwen3/Cosmos cell can become numeric only after the branch emits the task target and the metric is computed against held-out labels.",
+  "source_matrix": "docs/data/task_method_20_result_matrix.json",
+  "status": "pass",
+  "title": "Model Output Probe Readiness"
+}

scripts/build_artifact_index.py

@@ -449,6 +449,22 @@ ARTIFACTS = [
         "surface": "repo_hf",
         "shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
     },
+    {
+        "id": "task_method_20_gap_audit_json",
+        "title": "Task-method 20-result gap audit JSON",
+        "path": "docs/data/task_method_20_gap_audit.json",
+        "kind": "website_data",
+        "surface": "website_hf",
+        "shows": "Machine-readable 180-record gap ledger with 111 numeric scores, 69 scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
+    },
+    {
+        "id": "task_method_20_gap_audit",
+        "title": "Task-method 20-result gap audit",
+        "path": "TASK_METHOD_20_GAP_AUDIT.md",
+        "kind": "evaluation_protocol",
+        "surface": "repo_hf",
+        "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.",
+    },
     {
         "id": "unified_task_model_radar_chart",
         "title": "Unified 20-task model radar",
@@ -481,6 +497,38 @@ ARTIFACTS = [
         "surface": "repo_hf",
         "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
     },
+    {
+        "id": "task_method_20_gap_audit_builder",
+        "title": "Task-method gap-audit builder",
+        "path": "scripts/build_task_method_20_gap_audit.py",
+        "kind": "publication_workflow",
+        "surface": "repo_hf",
+        "shows": "Regenerates the public gap audit from the 9-method by 20-task matrix without inventing scores for unsupported or unevaluated cells.",
+    },
+    {
+        "id": "all_task_model_scoring_waiter",
+        "title": "All-task model scoring guarded waiter",
+        "path": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
+        "kind": "scaleup_status",
+        "surface": "repo_hf",
+        "shows": "Launches a user-provided all-task model scoring command only after enough private GPU capacity is idle, writing status logs under results/omni_finetune/deferred_launchers.",
+    },
+    {
+        "id": "model_output_probe_readiness",
+        "title": "Model-output probe readiness",
+        "path": "results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
+        "kind": "scaleup_status",
+        "surface": "repo_hf",
+        "shows": "Checks whether Qwen3/Cosmos branches have train, validation, and test prediction files before extending model overlays to all 20 task contracts.",
+    },
+    {
+        "id": "model_output_probe_script",
+        "title": "Model-output probe readiness script",
+        "path": "scripts/omni/score_model_output_probes.py",
+        "kind": "scaleup_status",
+        "surface": "repo_hf",
+        "shows": "Audits model-output split availability and writes a readiness report without assigning new numeric task scores.",
+    },
     {
         "id": "a100_128_metadata_task_baselines",
         "title": "128-episode metadata task baselines",

scripts/build_public_surface_qa.py

@@ -179,6 +179,7 @@ def build_report() -> dict:
         "data/single_episode_task_model_radar.json",
         "data/episode128_task_model_radar.json",
         "data/task_method_20_result_matrix.json",
+        "data/task_method_20_gap_audit.json",
         "assets/charts/unified_task_model_radar.svg",
         "assets/charts/single_episode_task_model_radar.svg",
         "assets/charts/episode128_task_model_radar.svg",

scripts/build_task_method_20_gap_audit.py

@@ -0,0 +1,263 @@
+#!/usr/bin/env python3
+"""Build an explicit score-gap audit for the 9-method x 20-task matrix."""
+
+from __future__ import annotations
+
+import json
+from collections import Counter, defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+MATRIX_JSON = ROOT / "docs/data/task_method_20_result_matrix.json"
+OUTPUT_JSON = ROOT / "docs/data/task_method_20_gap_audit.json"
+OUTPUT_MD = ROOT / "TASK_METHOD_20_GAP_AUDIT.md"
+
+
+STATUS_NEXT_STEPS = {
+    "not_supported_by_metadata_only_package": (
+        "Run the task with raw sensor-feature blocks or add a task-specific "
+        "metadata target builder before assigning a numeric score."
+    ),
+    "unsupported_without_required_target": (
+        "Export the missing target field for this 128-episode method, then "
+        "rerun the same train/validation/test split."
+    ),
+    "not_evaluated_in_verified_package": (
+        "Generate verified model outputs for this task contract and score them "
+        "against the held-out labels."
+    ),
+}
+
+
+def read_json(path: Path) -> dict:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def write_json(path: Path, payload: dict) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n", encoding="utf-8")
+
+
+def markdown_table(headers: list[str], rows: list[list[str]]) -> str:
+    lines = [
+        "| " + " | ".join(headers) + " |",
+        "| " + " | ".join("---" for _ in headers) + " |",
+    ]
+    for row in rows:
+        clean = [str(cell).replace("\n", " ").replace("|", "\\|") for cell in row]
+        lines.append("| " + " | ".join(clean) + " |")
+    return "\n".join(lines)
+
+
+def compact_record(record: dict) -> dict:
+    return {
+        "task_number": record["task_number"],
+        "task_id": record["task_id"],
+        "task_label": record["task_label"],
+        "series_id": record["series_id"],
+        "method": record["method"],
+        "status": record["status"],
+        "status_label": record.get("status_label"),
+        "metric_key": record.get("metric_key"),
+        "scope": record.get("scope"),
+        "reason": record.get("reason"),
+        "recommended_next_step": STATUS_NEXT_STEPS.get(
+            record["status"], "Review the matrix status and source artifact before scoring."
+        ),
+    }
+
+
+def build_payload(matrix: dict) -> dict:
+    records = matrix["records"]
+    missing_records = [compact_record(row) for row in records if not row.get("scored")]
+    proxy_records = [
+        {
+            "task_number": row["task_number"],
+            "task_id": row["task_id"],
+            "task_label": row["task_label"],
+            "series_id": row["series_id"],
+            "method": row["method"],
+            "metric_key": row.get("metric_key"),
+            "source": row.get("source"),
+            "reason": row.get("reason"),
+        }
+        for row in records
+        if row.get("proxy_scored")
+    ]
+
+    missing_by_status = Counter(row["status"] for row in missing_records)
+    missing_by_method = Counter(row["series_id"] for row in missing_records)
+    missing_by_task = defaultdict(list)
+    for row in missing_records:
+        missing_by_task[f"{row['task_number']:02d} {row['task_label']}"].append(row["series_id"])
+
+    methods = {
+        series["id"]: {
+            "label": series["label"],
+            "scope": series["scope"],
+            "kind": series["kind"],
+            "result_record_count": series["result_record_count"],
+            "scored_task_count": series["scored_task_count"],
+            "scoreless_task_count": series["scoreless_task_count"],
+            "proxy_scored_task_count": series["proxy_scored_task_count"],
+            "status_counts": series["status_counts"],
+        }
+        for series in matrix["series"]
+    }
+
+    return {
+        "title": "Task Method 20-Result Gap Audit",
+        "status": "pass",
+        "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+        "source_matrix": "docs/data/task_method_20_result_matrix.json",
+        "score_summary": {
+            "task_count": matrix["task_count"],
+            "method_count": matrix["method_count"],
+            "method_task_record_count": matrix["method_task_record_count"],
+            "scored_method_task_count": matrix["scored_method_task_count"],
+            "scoreless_method_task_count": matrix["method_task_record_count"]
+            - matrix["scored_method_task_count"],
+            "proxy_scored_method_task_count": len(proxy_records),
+        },
+        "target_policy": {
+            "numeric_score_gate": (
+                "A method-task cell is numeric only when a runner or verified package "
+                "emits that exact task target and metric."
+            ),
+            "scoreless_cell_policy": (
+                "Unsupported and not-evaluated cells stay explicit in the public matrix "
+                "instead of being hidden or backfilled with proxy model claims."
+            ),
+            "proxy_policy": (
+                "Proxy scores are allowed only when the matrix marks them as proxy_scored "
+                "and keeps the reason/source attached."
+            ),
+        },
+        "methods": methods,
+        "missing_by_status": dict(sorted(missing_by_status.items())),
+        "missing_by_method": dict(sorted(missing_by_method.items())),
+        "missing_by_task": {
+            task: sorted(series_ids) for task, series_ids in sorted(missing_by_task.items())
+        },
+        "missing_records": missing_records,
+        "proxy_records": proxy_records,
+        "immediate_actions": [
+            {
+                "id": "gap_audit",
+                "artifact": "docs/data/task_method_20_gap_audit.json",
+                "purpose": "Keep the 69 scoreless cells visible and reproducible.",
+            },
+            {
+                "id": "model_output_probe",
+                "artifact": "scripts/omni/score_model_output_probes.py",
+                "purpose": (
+                    "Check whether train/validation/test model outputs exist before "
+                    "attempting all-task Qwen3/Cosmos scoring."
+                ),
+            },
+            {
+                "id": "guarded_gpu_launcher",
+                "artifact": "scripts/omni/launch_all_task_model_scoring_when_free.sh",
+                "purpose": (
+                    "Start a user-provided all-task scoring command only after enough "
+                    "private GPU capacity is idle."
+                ),
+            },
+        ],
+    }
+
+
+def write_markdown(payload: dict) -> None:
+    summary = payload["score_summary"]
+    method_rows = []
+    for method_id, method in payload["methods"].items():
+        method_rows.append(
+            [
+                method["label"],
+                method_id,
+                f"{method['scored_task_count']}/20",
+                str(method["scoreless_task_count"]),
+                str(method["proxy_scored_task_count"]),
+                ", ".join(f"{key}: {value}" for key, value in method["status_counts"].items()),
+            ]
+        )
+
+    status_rows = [
+        [status, str(count), STATUS_NEXT_STEPS.get(status, "Review matrix status.")]
+        for status, count in payload["missing_by_status"].items()
+    ]
+    missing_rows = [
+        [
+            f"{row['task_number']:02d}",
+            row["task_label"],
+            row["method"],
+            row["status_label"] or row["status"],
+            row["recommended_next_step"],
+        ]
+        for row in payload["missing_records"]
+    ]
+    proxy_rows = [
+        [
+            f"{row['task_number']:02d}",
+            row["task_label"],
+            row["method"],
+            row["metric_key"],
+            row["reason"],
+        ]
+        for row in payload["proxy_records"]
+    ]
+
+    text = f"""# Task Method 20-Result Gap Audit
+
+Generated: `{payload['generated_at_utc']}`
+
+This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
+It keeps missing cells visible while preserving the rule that a numeric score
+requires a real task target and source artifact.
+
+## Score Summary
+
+- Method-task records: `{summary['method_task_record_count']}`
+- Numeric scored records: `{summary['scored_method_task_count']}`
+- Scoreless records: `{summary['scoreless_method_task_count']}`
+- Proxy-scored records: `{summary['proxy_scored_method_task_count']}`
+- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
+
+## Method Coverage
+
+{markdown_table(['Method', 'ID', 'Scored', 'Scoreless', 'Proxy', 'Status counts'], method_rows)}
+
+## Gap Classes
+
+{markdown_table(['Status', 'Count', 'Next step'], status_rows)}
+
+## Scoreless Records
+
+{markdown_table(['Task', 'Task label', 'Method', 'Status', 'Required evidence'], missing_rows)}
+
+## Proxy Records
+
+{markdown_table(['Task', 'Task label', 'Method', 'Metric', 'Proxy note'], proxy_rows)}
+
+## Immediate Actions
+
+- Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish scored, proxy-scored, and scoreless cells.
+- Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to check whether train/validation/test model outputs are present before trying to extend Qwen3/Cosmos to all 20 task contracts.
+- Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for a real all-task scoring command when private GPU capacity is available.
+"""
+    OUTPUT_MD.write_text(text, encoding="utf-8")
+
+
+def main() -> None:
+    matrix = read_json(MATRIX_JSON)
+    payload = build_payload(matrix)
+    write_json(OUTPUT_JSON, payload)
+    write_markdown(payload)
+    print(f"wrote {OUTPUT_JSON.relative_to(ROOT)}")
+    print(f"wrote {OUTPUT_MD.relative_to(ROOT)}")
+
+
+if __name__ == "__main__":
+    main()

scripts/omni/launch_all_task_model_scoring_when_free.sh

@@ -0,0 +1,112 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Guarded waiter for private GPU scoring jobs.
+# Provide SCORING_COMMAND with the exact command to run once enough GPUs are idle.
+
+WORKSPACE="${WORKSPACE:-$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)}"
+RUN_ID="${RUN_ID:-xperience10m_all_task_model_scoring_$(date -u +%Y%m%dT%H%M%SZ)}"
+RESULTS_DIR="${RESULTS_DIR:-${WORKSPACE}/results/omni_finetune/deferred_launchers}"
+MIN_FREE_GPU_COUNT="${MIN_FREE_GPU_COUNT:-4}"
+MIN_FREE_MB_PER_GPU="${MIN_FREE_MB_PER_GPU:-60000}"
+MAX_BUSY_UTIL="${MAX_BUSY_UTIL:-10}"
+CHECK_INTERVAL_SECONDS="${CHECK_INTERVAL_SECONDS:-60}"
+MAX_WAIT_SECONDS="${MAX_WAIT_SECONDS:-21600}"
+SCORING_COMMAND="${SCORING_COMMAND:-}"
+
+mkdir -p "${RESULTS_DIR}"
+WAITER_LOG="${RESULTS_DIR}/${RUN_ID}.waiter.log"
+STATUS_JSONL="${RESULTS_DIR}/${RUN_ID}.status.jsonl"
+RUN_LOG="${RESULTS_DIR}/${RUN_ID}.run.log"
+
+log() {
+  printf '%s %s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "$*" | tee -a "${WAITER_LOG}"
+}
+
+write_status() {
+  local status="$1"
+  local detail="$2"
+  python3 - "$STATUS_JSONL" "$RUN_ID" "$status" "$detail" <<'PY'
+import json
+import sys
+from datetime import datetime, timezone
+
+path, run_id, status, detail = sys.argv[1:5]
+record = {
+    "time_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+    "run_id": run_id,
+    "status": status,
+    "detail": detail,
+}
+with open(path, "a", encoding="utf-8") as handle:
+    handle.write(json.dumps(record, sort_keys=True) + "\n")
+PY
+}
+
+gpu_snapshot() {
+  if ! command -v nvidia-smi >/dev/null 2>&1; then
+    return 1
+  fi
+  nvidia-smi --query-gpu=index,memory.used,memory.total,utilization.gpu --format=csv,noheader,nounits
+}
+
+free_gpu_count() {
+  gpu_snapshot | awk -F',' -v min_free="${MIN_FREE_MB_PER_GPU}" -v max_util="${MAX_BUSY_UTIL}" '
+    {
+      used=$2+0; total=$3+0; util=$4+0;
+      free=total-used;
+      if (free >= min_free && util <= max_util) count += 1;
+    }
+    END { print count+0 }
+  '
+}
+
+if [[ -z "${SCORING_COMMAND}" ]]; then
+  log "SCORING_COMMAND is required; exiting without launching."
+  write_status "not_launched" "SCORING_COMMAND is required"
+  exit 2
+fi
+
+if ! command -v nvidia-smi >/dev/null 2>&1; then
+  log "nvidia-smi is unavailable; exiting without launching."
+  write_status "not_launched" "nvidia-smi unavailable"
+  exit 3
+fi
+
+start_epoch="$(date +%s)"
+log "waiting for ${MIN_FREE_GPU_COUNT} GPUs with at least ${MIN_FREE_MB_PER_GPU} MB free and util <= ${MAX_BUSY_UTIL}%"
+write_status "waiting" "guard started"
+
+while true; do
+  now_epoch="$(date +%s)"
+  elapsed=$((now_epoch - start_epoch))
+  snapshot="$(gpu_snapshot || true)"
+  count="$(printf '%s\n' "${snapshot}" | awk -F',' -v min_free="${MIN_FREE_MB_PER_GPU}" -v max_util="${MAX_BUSY_UTIL}" '
+    {
+      used=$2+0; total=$3+0; util=$4+0;
+      free=total-used;
+      if (free >= min_free && util <= max_util) count += 1;
+    }
+    END { print count+0 }
+  ')"
+  log "free_gpu_count=${count}; elapsed_seconds=${elapsed}"
+  printf '%s\n' "${snapshot}" >> "${WAITER_LOG}"
+
+  if (( count >= MIN_FREE_GPU_COUNT )); then
+    log "capacity available; launching scoring command"
+    write_status "launching" "capacity available"
+    nohup bash -lc "cd '${WORKSPACE}' && ${SCORING_COMMAND}" > "${RUN_LOG}" 2>&1 &
+    pid="$!"
+    log "launched pid=${pid}; run_log=${RUN_LOG}"
+    write_status "launched" "pid=${pid}"
+    exit 0
+  fi
+
+  if (( elapsed >= MAX_WAIT_SECONDS )); then
+    log "timed out without launching"
+    write_status "timed_out" "capacity not available"
+    exit 4
+  fi
+
+  sleep "${CHECK_INTERVAL_SECONDS}"
+done

scripts/omni/score_model_output_probes.py

@@ -0,0 +1,240 @@
+#!/usr/bin/env python3
+"""Audit model-output readiness for extending model branches to all 20 tasks."""
+
+from __future__ import annotations
+
+import argparse
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+DEFAULT_PREDICTION_HINTS = {
+    "qwen3_omni_v6_lora": {
+        "train": [],
+        "validation": [],
+        "test": [
+            "results/omni_finetune/verified_public/"
+            "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/"
+            "eval/predictions.jsonl",
+            "results/omni_finetune/verified_public/"
+            "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/"
+            "eval/model_predictions.jsonl",
+        ],
+    },
+    "cosmos3_super_reasoner": {
+        "train": [],
+        "validation": [],
+        "test": [
+            "results/omni_finetune/verified_public/"
+            "xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/"
+            "eval/predictions.jsonl",
+            "results/omni_finetune/verified_public/"
+            "xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/"
+            "eval/model_predictions.jsonl",
+        ],
+    },
+    "cosmos3_nano_future_window": {
+        "train": [],
+        "validation": [],
+        "test": [
+            "results/omni_finetune/verified_public/"
+            "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/"
+            "eval/predictions.jsonl",
+            "results/omni_finetune/verified_public/"
+            "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/"
+            "eval/model_predictions.jsonl",
+        ],
+    },
+}
+
+REQUIRED_SPLITS = ("train", "validation", "test")
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--workspace",
+        type=Path,
+        default=Path(__file__).resolve().parents[2],
+        help="Repository root containing docs/data and results.",
+    )
+    parser.add_argument(
+        "--matrix-json",
+        type=Path,
+        default=None,
+        help="Task-method result matrix. Defaults to docs/data/task_method_20_result_matrix.json.",
+    )
+    parser.add_argument(
+        "--output-dir",
+        type=Path,
+        default=None,
+        help="Directory for readiness artifacts. Defaults to results/omni_finetune/model_output_probe_readiness.",
+    )
+    parser.add_argument(
+        "--prediction",
+        action="append",
+        default=[],
+        metavar="METHOD:SPLIT:PATH",
+        help="Add a model-output file candidate, for example qwen3_omni_v6_lora:test:predictions.jsonl.",
+    )
+    return parser.parse_args()
+
+
+def resolve_default(path: Path | None, workspace: Path, default: str) -> Path:
+    return path if path is not None else workspace / default
+
+
+def load_matrix(path: Path) -> dict:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def parse_prediction_overrides(values: list[str]) -> dict[str, dict[str, list[str]]]:
+    overrides: dict[str, dict[str, list[str]]] = {}
+    for value in values:
+        parts = value.split(":", 2)
+        if len(parts) != 3:
+            raise SystemExit(f"invalid --prediction value: {value}")
+        method, split, path = parts
+        if split not in REQUIRED_SPLITS:
+            raise SystemExit(f"invalid split in --prediction value: {value}")
+        overrides.setdefault(method, {name: [] for name in REQUIRED_SPLITS})[split].append(path)
+    return overrides
+
+
+def first_existing(workspace: Path, candidates: list[str]) -> dict:
+    checked = []
+    for candidate in candidates:
+        path = Path(candidate)
+        resolved = path if path.is_absolute() else workspace / path
+        display_path = (
+            resolved.relative_to(workspace).as_posix()
+            if resolved.is_relative_to(workspace)
+            else resolved.as_posix()
+        )
+        checked.append(display_path)
+        if resolved.exists():
+            return {
+                "exists": True,
+                "path": display_path,
+                "bytes": resolved.stat().st_size,
+                "checked": checked,
+            }
+    return {"exists": False, "path": None, "bytes": 0, "checked": checked}
+
+
+def records_for_method(matrix: dict, method_id: str) -> list[dict]:
+    return [row for row in matrix["records"] if row["series_id"] == method_id]
+
+
+def build_readiness(workspace: Path, matrix: dict, overrides: dict[str, dict[str, list[str]]]) -> dict:
+    methods = {}
+    source_hints = DEFAULT_PREDICTION_HINTS.copy()
+    for method, split_map in overrides.items():
+        target = source_hints.setdefault(method, {name: [] for name in REQUIRED_SPLITS})
+        for split, paths in split_map.items():
+            target.setdefault(split, []).extend(paths)
+
+    for method_id, split_hints in sorted(source_hints.items()):
+        split_status = {
+            split: first_existing(workspace, split_hints.get(split, []))
+            for split in REQUIRED_SPLITS
+        }
+        method_records = records_for_method(matrix, method_id)
+        scored = [row for row in method_records if row.get("scored")]
+        missing = [row for row in method_records if not row.get("scored")]
+        ready_for_all_task_probe = all(split_status[split]["exists"] for split in REQUIRED_SPLITS)
+        methods[method_id] = {
+            "label": next((series["label"] for series in matrix["series"] if series["id"] == method_id), method_id),
+            "matrix_scored_task_count": len(scored),
+            "matrix_scoreless_task_count": len(missing),
+            "required_splits": list(REQUIRED_SPLITS),
+            "split_status": split_status,
+            "ready_for_all_task_probe": ready_for_all_task_probe,
+            "status": "ready" if ready_for_all_task_probe else "missing_required_model_outputs",
+            "scoreless_task_ids": [row["task_id"] for row in missing],
+            "next_step": (
+                "Run the all-task probe scorer against train/validation/test outputs."
+                if ready_for_all_task_probe
+                else "Collect or generate train, validation, and test prediction JSONL files first."
+            ),
+        }
+
+    ready_methods = [method for method, item in methods.items() if item["ready_for_all_task_probe"]]
+    return {
+        "title": "Model Output Probe Readiness",
+        "status": "pass",
+        "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+        "source_matrix": "docs/data/task_method_20_result_matrix.json",
+        "scope": (
+            "This artifact checks readiness for extending verified model branches "
+            "to all 20 task contracts. It does not create or infer numeric scores."
+        ),
+        "score_policy": (
+            "A scoreless Qwen3/Cosmos cell can become numeric only after the branch "
+            "emits the task target and the metric is computed against held-out labels."
+        ),
+        "ready_method_count": len(ready_methods),
+        "methods": methods,
+    }
+
+
+def write_report(output_dir: Path, payload: dict) -> None:
+    output_dir.mkdir(parents=True, exist_ok=True)
+    json_path = output_dir / "model_output_probe_readiness.json"
+    md_path = output_dir / "RUN_REPORT.md"
+    json_path.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n", encoding="utf-8")
+
+    rows = []
+    for method_id, method in payload["methods"].items():
+        split_bits = []
+        for split, status in method["split_status"].items():
+            split_bits.append(f"{split}: {'present' if status['exists'] else 'missing'}")
+        rows.append(
+            "| "
+            + " | ".join(
+                [
+                    method["label"],
+                    method_id,
+                    f"{method['matrix_scored_task_count']}/20",
+                    method["status"],
+                    "; ".join(split_bits),
+                    method["next_step"],
+                ]
+            )
+            + " |"
+        )
+
+    report = f"""# Model Output Probe Readiness
+
+Generated: `{payload['generated_at_utc']}`
+
+This report checks whether verified model branches have the prediction files
+needed to extend them to every 20-task contract. It is readiness evidence only;
+it does not assign new task scores.
+
+| Method | ID | Matrix scores | Status | Split files | Next step |
+| --- | --- | --- | --- | --- | --- |
+{chr(10).join(rows)}
+"""
+    md_path.write_text(report, encoding="utf-8")
+    print(f"wrote {json_path}")
+    print(f"wrote {md_path}")
+
+
+def main() -> None:
+    args = parse_args()
+    workspace = args.workspace.resolve()
+    matrix_path = resolve_default(
+        args.matrix_json, workspace, "docs/data/task_method_20_result_matrix.json"
+    )
+    output_dir = resolve_default(
+        args.output_dir, workspace, "results/omni_finetune/model_output_probe_readiness"
+    )
+    overrides = parse_prediction_overrides(args.prediction)
+    payload = build_readiness(workspace, load_matrix(matrix_path), overrides)
+    write_report(output_dir, payload)
+
+
+if __name__ == "__main__":
+    main()

scripts/sync_hf_publish_mirrors.py

@@ -49,7 +49,8 @@ The historical `tier2_task_suite` path is retained only for stable artifact
 links to tasks 13-20. The unified radar chart is published as
 `docs/assets/charts/unified_task_model_radar.svg` with values in
 `docs/data/unified_task_model_radar.json`; the 9-method by 20-task completion
-matrix is in `docs/data/task_method_20_result_matrix.json`. Split radars for
+matrix is in `docs/data/task_method_20_result_matrix.json`, with the explicit
+gap audit in `docs/data/task_method_20_gap_audit.json`. Split radars for
 the one-episode baselines and selected 128-episode methods are published as
 `docs/assets/charts/single_episode_task_model_radar.svg` and
 `docs/assets/charts/episode128_task_model_radar.svg`.
@@ -157,7 +158,8 @@ def ensure_tier2_card_links(hf_root: Path, *, dry_run: bool) -> list[str]:
                 "`docs/assets/charts/unified_task_model_radar.svg` with values in\n"
                 "`docs/data/unified_task_model_radar.json`; the 9-method by\n"
                 "20-task completion matrix is in\n"
-                "`docs/data/task_method_20_result_matrix.json`. Split radars are in\n"
+                "`docs/data/task_method_20_result_matrix.json`, with the explicit\n"
+                "gap audit in `docs/data/task_method_20_gap_audit.json`. Split radars are in\n"
                 "`docs/assets/charts/single_episode_task_model_radar.svg` and\n"
                 "`docs/assets/charts/episode128_task_model_radar.svg`.\n",
             )
@@ -168,7 +170,17 @@ def ensure_tier2_card_links(hf_root: Path, *, dry_run: bool) -> list[str]:
             text = text.replace(
                 "`docs/data/unified_task_model_radar.json`.",
                 "`docs/data/unified_task_model_radar.json`; the 9-method by 20-task\n"
-                "completion matrix is in `docs/data/task_method_20_result_matrix.json`.",
+                "completion matrix is in `docs/data/task_method_20_result_matrix.json`,\n"
+                "with the explicit gap audit in `docs/data/task_method_20_gap_audit.json`.",
+            )
+        if (
+            "docs/data/task_method_20_result_matrix.json" in text
+            and "docs/data/task_method_20_gap_audit.json" not in text
+        ):
+            text = text.replace(
+                "`docs/data/task_method_20_result_matrix.json`.",
+                "`docs/data/task_method_20_result_matrix.json`, with the explicit\n"
+                "gap audit in `docs/data/task_method_20_gap_audit.json`.",
             )
         if (
             "docs/data/task_method_20_result_matrix.json" in text

scripts/validate_mirror_parity.py

@@ -60,6 +60,7 @@ DATA_FILES = [
     "task_surface_integrity.json",
     "task_walkthroughs.json",
     "task_method_20_result_matrix.json",
+    "task_method_20_gap_audit.json",
     "tier2_task_suite.json",
     "unified_task_model_radar.json",
     "website_integrity.json",
@@ -106,12 +107,14 @@ SCRIPT_FILES = [
     "omni/defer_cosmos3_super_after_qwen_v4.sh",
     "omni/defer_qwen3_fullparam_after_verified_qwen.sh",
     "omni/export_cosmos3_camera_pose_targets.py",
+    "omni/launch_all_task_model_scoring_when_free.sh",
     "omni/pack_cosmos3_super_action_batch.py",
     "omni/prepare_cosmos3_super_lora_hf_package.py",
     "omni/prepare_qwen3_lora_hf_package.py",
     "omni/patch_qwen3_omni_video_features.py",
     "omni/probe_cosmos3_super_training_readiness.py",
     "omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+    "omni/score_model_output_probes.py",
     "omni/run_128_task_baselines.py",
     "omni/build_task_suite_enhancement_128.py",
     "omni/run_cosmos3_super_forward_dynamics_lora.sh",
@@ -126,6 +129,7 @@ SCRIPT_FILES = [
     "build_rendered_site_check.py",
     "build_interactive_research_roadmap.py",
     "build_single_episode_explorer.py",
+    "build_task_method_20_gap_audit.py",
     "build_research_takeaways.py",
     "build_unified_task_suite.py",
     "build_unified_task_model_radar.py",
@@ -212,6 +216,8 @@ RESULT_FILES = [
     "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/RUN_REPORT.md",
     "omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/launch_status.jsonl",
     "omni_finetune/HF_UPLOAD.md",
+    "omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json",
+    "omni_finetune/model_output_probe_readiness/RUN_REPORT.md",
     "omni_finetune/xperience10m_cosmos3_super_training_readiness_20260607/training_readiness.json",
     "omni_finetune/xperience10m_cosmos3_super_training_readiness_20260607/RUN_REPORT.md",
     "omni_finetune/xperience10m_cosmos3_super_training_readiness_metadata_a100_20260609/training_readiness.json",
@@ -240,6 +246,7 @@ DOC_FILES = [
     "PROJECT_STATUS.md",
     "REPRODUCIBILITY.md",
     "TASK_SUITE_ENHANCEMENT_128.md",
+    "TASK_METHOD_20_GAP_AUDIT.md",
     "TASK_METHOD_20_RESULT_MATRIX.md",
     "TASK_SUITE_20.md",
     "PUBLIC_SURFACE_QA.md",

scripts/validate_publication_package.py

@@ -313,6 +313,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "docs/data/single_episode_task_model_radar.json",
         "docs/data/episode128_task_model_radar.json",
         "docs/data/task_method_20_result_matrix.json",
+        "docs/data/task_method_20_gap_audit.json",
         "docs/data/task_suite_enhancement_128.json",
         "docs/assets/modalities/video.jpg",
         "docs/assets/modalities/audio.png",
@@ -346,6 +347,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "scripts/build_evaluation_protocol.py",
         "scripts/build_unified_task_suite.py",
         "scripts/build_unified_task_model_radar.py",
+        "scripts/build_task_method_20_gap_audit.py",
         "scripts/build_figure_index.py",
         "scripts/build_quality_gates.py",
         "scripts/build_public_surface_qa.py",

scripts/verify_live_publication.py

@@ -97,6 +97,17 @@ HASH_GROUPS = [
             "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/task_method_20_result_matrix.json",
         },
     },
+    {
+        "id": "task_method_20_gap_audit_json",
+        "title": "Task-method 20-result gap audit JSON",
+        "local_path": "docs/data/task_method_20_gap_audit.json",
+        "urls": {
+            "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/task_method_20_gap_audit.json",
+            "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/task_method_20_gap_audit.json",
+            "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/task_method_20_gap_audit.json",
+            "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/task_method_20_gap_audit.json",
+        },
+    },
     {
         "id": "single_episode_task_model_radar_json",
         "title": "Single-episode 20-task model radar JSON",