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TASK_METHOD_20_GAP_AUDIT.md

@@ -1,6 +1,6 @@
 # Task Method 20-Result Gap Audit
 
-Generated: `2026-06-19T11:42:08+00:00`
+Generated: `2026-06-20T01:11:34+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
@@ -9,8 +9,8 @@ requires a real task target and source artifact.
 ## Score Summary
 
 - Method-task records: `180`
-- Numeric scored records: `156`
-- Scoreless records: `24`
+- Numeric scored records: `158`
+- Scoreless records: `22`
 - Proxy-scored records: `4`
 - Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
 
@@ -20,8 +20,8 @@ requires a real task target and source artifact.
 | --- | --- | --- | --- | --- | --- |
 | Minimal | minimal | 20/20 | 0 | 0 | scored: 20 |
 | Neural MLP | neural_mlp | 20/20 | 0 | 0 | scored: 20 |
-| 128ep Aligned Simple | metadata128_simple | 18/20 | 2 | 0 | scored: 18, unsupported_without_required_target: 2 |
-| 128ep Aligned NN | metadata128_neural_mlp | 18/20 | 2 | 0 | not_supported_by_metadata_only_package: 2, scored: 18 |
+| 128ep Aligned Simple | metadata128_simple | 19/20 | 1 | 0 | scored: 19, unsupported_without_required_target: 1 |
+| 128ep Aligned NN | metadata128_neural_mlp | 19/20 | 1 | 0 | not_supported_by_metadata_only_package: 1, scored: 19 |
 | 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 | 19/20 | 1 | 0 | not_evaluated_in_verified_package: 1, scored: 19 |
@@ -33,8 +33,8 @@ requires a real task target and source artifact.
 | Status | Count | Next step |
 | --- | --- | --- |
 | not_evaluated_in_verified_package | 20 | Generate verified model outputs for this task contract and score them against the held-out labels. |
-| not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
-| unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
+| not_supported_by_metadata_only_package | 1 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
+| unsupported_without_required_target | 1 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
 
 ## Scoreless Records
 
@@ -52,8 +52,6 @@ requires a real task target and source artifact.
 | 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. |
 | 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. |
-| 15 | Interaction Text Prediction | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
-| 15 | Interaction Text Prediction | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
 | 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. |

TASK_METHOD_20_RESULT_MATRIX.md

@@ -8,8 +8,8 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
 | --- | ---: | ---: | ---: | ---: | --- |
 | Minimal | 20 | 20 | 0 | 0 | scored 20 |
 | Neural MLP | 20 | 20 | 0 | 0 | scored 20 |
-| 128ep Aligned Simple | 20 | 18 | 0 | 2 | scored 18, unsupported 2 |
-| 128ep Aligned NN | 20 | 18 | 0 | 2 | not supported 2, scored 18 |
+| 128ep Aligned Simple | 20 | 19 | 0 | 1 | scored 19, unsupported 1 |
+| 128ep Aligned NN | 20 | 19 | 0 | 1 | not supported 1, scored 19 |
 | 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
 | 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
 | Qwen3-Omni v6 LoRA | 20 | 19 | 0 | 1 | not evaluated 1, scored 19 |
@@ -32,7 +32,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
 | 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
 | 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
 | 14 | Long-Horizon Next-Subtask Forecasting | score | score | score | score | score | score | score | not evaluated | score |
-| 15 | Interaction Text Prediction | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
+| 15 | Interaction Text Prediction | score | score | score | score | proxy | proxy | not evaluated | not evaluated | not evaluated |
 | 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | score |
 | 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
 | 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | score | not evaluated | not evaluated |

data/episode128_task_model_radar.json

@@ -1,12 +1,12 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
   "task_count": 20,
   "method_count": 7,
   "method_task_record_count": 140,
-  "scored_method_task_count": 116,
+  "scored_method_task_count": 118,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
@@ -30,17 +30,17 @@
       "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 18,
-      "covered_task_count": 18,
+      "scored_task_count": 19,
+      "covered_task_count": 19,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 2,
-      "unsupported_task_count": 2,
+      "scoreless_task_count": 1,
+      "unsupported_task_count": 1,
       "not_evaluated_task_count": 0,
       "status_counts": {
-        "scored": 18,
-        "unsupported_without_required_target": 2
+        "scored": 19,
+        "unsupported_without_required_target": 1
       },
-      "coverage_fraction": 0.9,
+      "coverage_fraction": 0.95,
       "result_record_fraction": 1.0
     },
     {
@@ -54,17 +54,17 @@
       "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 18,
-      "covered_task_count": 18,
+      "scored_task_count": 19,
+      "covered_task_count": 19,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 2,
-      "unsupported_task_count": 2,
+      "scoreless_task_count": 1,
+      "unsupported_task_count": 1,
       "not_evaluated_task_count": 0,
       "status_counts": {
-        "not_supported_by_metadata_only_package": 2,
-        "scored": 18
+        "not_supported_by_metadata_only_package": 1,
+        "scored": 19
       },
-      "coverage_fraction": 0.9,
+      "coverage_fraction": 0.95,
       "result_record_fraction": 1.0
     },
     {
@@ -1476,26 +1476,26 @@
       "raw128_proxy_axis": true,
       "values": {
         "metadata128_simple": {
-          "raw": null,
+          "raw": 0.0,
           "metric_key": "macro_f1",
           "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
           "scope": "multi_episode_128_aligned_baseline",
-          "status": "unsupported_without_required_target",
-          "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata",
-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "unsupported"
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.0,
+          "raw_text": "0.0000",
+          "status_label": "scored"
         },
         "metadata128_neural_mlp": {
-          "raw": null,
+          "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": null,
+          "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
           "scope": "multi_episode_128_aligned_baseline",
-          "status": "not_supported_by_metadata_only_package",
-          "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required",
-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "not supported"
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.0,
+          "raw_text": "0.0000",
+          "status_label": "scored"
         },
         "raw128_simple": {
           "raw": 0.012611998261547169,
@@ -3781,17 +3781,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_simple",
       "method": "128ep Aligned Simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
+      "raw": 0.0,
+      "raw_text": "0.0000",
+      "normalized_score": 0.0,
       "metric_key": "macro_f1",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata"
+      "reason": null
     },
     {
       "task_number": 15,
@@ -3799,17 +3799,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_neural_mlp",
       "method": "128ep Aligned NN",
-      "status": "not_supported_by_metadata_only_package",
-      "status_label": "not supported",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
+      "raw": 0.0,
+      "raw_text": "0.0000",
+      "normalized_score": 0.0,
       "metric_key": "macro_f1",
-      "source": null,
+      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required"
+      "reason": null
     },
     {
       "task_number": 15,

data/mirror_parity.json

@@ -1,9 +1,9 @@
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-  "generated_at_utc": "2026-06-19T11:31:35+00:00",
+  "generated_at_utc": "2026-06-20T01:16:41+00:00",
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@@ -922,45 +922,45 @@
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-        "bytes": 55702978
+        "path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/confusion_matrix.csv",
+        "bytes": 73057076
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data/single_episode_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Single-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
   "task_count": 20,
   "method_count": 2,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T12:02:10+00:00",
+  "generated_at_utc": "2026-06-20T01:08:37+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

@@ -1,10 +1,10 @@
 {
-  "generated_at_utc": "2026-06-19T11:42:08+00:00",
+  "generated_at_utc": "2026-06-20T01:11:34+00:00",
   "immediate_actions": [
     {
       "artifact": "docs/data/task_method_20_gap_audit.json",
       "id": "gap_audit",
-      "purpose": "Keep the 24 scoreless cells visible and reproducible."
+      "purpose": "Keep the 22 scoreless cells visible and reproducible."
     },
     {
       "artifact": "scripts/omni/score_model_output_probes.py",
@@ -50,11 +50,11 @@
       "proxy_scored_task_count": 0,
       "result_record_count": 20,
       "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available",
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+      "scored_task_count": 19,
+      "scoreless_task_count": 1,
       "status_counts": {
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-        "scored": 18
+        "not_supported_by_metadata_only_package": 1,
+        "scored": 19
       }
     },
     "metadata128_simple": {
@@ -63,11 +63,11 @@
       "proxy_scored_task_count": 0,
       "result_record_count": 20,
       "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available",
-      "scored_task_count": 18,
-      "scoreless_task_count": 2,
+      "scored_task_count": 19,
+      "scoreless_task_count": 1,
       "status_counts": {
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-        "unsupported_without_required_target": 2
+        "scored": 19,
+        "unsupported_without_required_target": 1
       }
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     "minimal": {
@@ -137,14 +137,14 @@
   "missing_by_method": {
     "cosmos3_nano_future_window": 9,
     "cosmos3_super_reasoner": 10,
-    "metadata128_neural_mlp": 2,
-    "metadata128_simple": 2,
+    "metadata128_neural_mlp": 1,
+    "metadata128_simple": 1,
     "qwen3_omni_v6_lora": 1
   },
   "missing_by_status": {
     "not_evaluated_in_verified_package": 20,
-    "not_supported_by_metadata_only_package": 2,
-    "unsupported_without_required_target": 2
+    "not_supported_by_metadata_only_package": 1,
+    "unsupported_without_required_target": 1
   },
   "missing_by_task": {
     "02 Procedure Step Recognition": [
@@ -180,8 +180,6 @@
     "15 Interaction Text Prediction": [
       "cosmos3_nano_future_window",
       "cosmos3_super_reasoner",
-      "metadata128_neural_mlp",
-      "metadata128_simple",
       "qwen3_omni_v6_lora"
     ],
     "17 Future Object-Set Forecasting": [
@@ -355,32 +353,6 @@
       "task_label": "Long-Horizon Next-Subtask Forecasting",
       "task_number": 14
     },
-    {
-      "method": "128ep Aligned Simple",
-      "metric_key": "macro_f1",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata",
-      "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_aligned_baseline",
-      "series_id": "metadata128_simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "task_id": "interaction_text_prediction",
-      "task_label": "Interaction Text Prediction",
-      "task_number": 15
-    },
-    {
-      "method": "128ep Aligned NN",
-      "metric_key": "macro_f1",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is 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_aligned_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",
@@ -558,8 +530,8 @@
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     "method_task_record_count": 180,
     "proxy_scored_method_task_count": 4,
-    "scored_method_task_count": 156,
-    "scoreless_method_task_count": 24,
+    "scored_method_task_count": 158,
+    "scoreless_method_task_count": 22,
     "task_count": 20
   },
   "source_matrix": "docs/data/task_method_20_result_matrix.json",

data/task_method_20_result_matrix.json

@@ -1,11 +1,11 @@
 {
   "title": "Task Method 20-Result Matrix",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 156,
+  "scored_method_task_count": 158,
   "series": [
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       "id": "minimal",
@@ -64,17 +64,17 @@
       "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
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-      "covered_task_count": 18,
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       "proxy_scored_task_count": 0,
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       "not_evaluated_task_count": 0,
       "status_counts": {
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@@ -88,17 +88,17 @@
       "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
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       "proxy_scored_task_count": 0,
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       "status_counts": {
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+      "coverage_fraction": 0.95,
       "result_record_fraction": 1.0
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     {
@@ -2533,17 +2533,17 @@
       "task_label": "Interaction Text Prediction",
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       "method": "128ep Aligned Simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
+      "raw": 0.0,
+      "raw_text": "0.0000",
+      "normalized_score": 0.0,
       "metric_key": "macro_f1",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata"
+      "reason": null
     },
     {
       "task_number": 15,
@@ -2551,17 +2551,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_neural_mlp",
       "method": "128ep Aligned NN",
-      "status": "not_supported_by_metadata_only_package",
-      "status_label": "not supported",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
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+      "raw_text": "0.0000",
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       "metric_key": "macro_f1",
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+      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required"
+      "reason": null
     },
     {
       "task_number": 15,

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:21+00:00",
+  "generated_at_utc": "2026-06-20T01:08:37+00:00",
   "summary": {
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     "expected_task_count": 12,

data/unified_task_model_radar.json

@@ -1,11 +1,11 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
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     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
@@ -73,17 +73,17 @@
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       "status_counts": {
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@@ -97,17 +97,17 @@
       "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
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@@ -1819,15 +1819,26 @@
           "status_label": "scored"
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           "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
           "scope": "multi_episode_128_aligned_baseline",
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-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "unsupported"
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.0,
+          "raw_text": "0.0000",
+          "status_label": "scored"
+        },
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+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
+          "scope": "multi_episode_128_aligned_baseline",
+          "status": "scored",
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+          "raw_text": "0.0000",
+          "status_label": "scored"
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         "raw128_simple": {
           "raw": 0.012611998261547169,
@@ -1851,17 +1862,6 @@
           "raw_text": "0.0098",
           "status_label": "proxy scored"
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-          "metric_key": "macro_f1",
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-          "scope": "multi_episode_128_aligned_baseline",
-          "status": "not_supported_by_metadata_only_package",
-          "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required",
-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "not supported"
-        },
         "qwen3_omni_v6_lora": {
           "raw": null,
           "metric_key": "macro_f1",
@@ -2458,7 +2458,7 @@
       "id": "metadata128_simple",
       "title": "128ep Aligned Simple",
       "status": "a100_rerun_pass",
-      "coverage": "20 records / 18 scored aligned axes",
+      "coverage": "20 records / 19 scored aligned axes",
       "headline": "34,269 rows; train/val/test 25,629/4,608/4,032",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
@@ -2466,7 +2466,7 @@
       "id": "metadata128_neural_mlp",
       "title": "128ep Aligned NN",
       "status": "a100_rerun_pass",
-      "coverage": "20 records / 18 scored aligned axes",
+      "coverage": "20 records / 19 scored aligned axes",
       "headline": "compact MLP heads over metadata/text and staged block features",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
@@ -4831,17 +4831,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_simple",
       "method": "128ep Aligned Simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
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+      "raw_text": "0.0000",
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       "metric_key": "macro_f1",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata"
+      "reason": null
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     {
       "task_number": 15,
@@ -4849,17 +4849,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_neural_mlp",
       "method": "128ep Aligned NN",
-      "status": "not_supported_by_metadata_only_package",
-      "status_label": "not supported",
-      "scored": false,
+      "status": "scored",
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-      "raw_text": "n/a",
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+      "raw_text": "0.0000",
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       "metric_key": "macro_f1",
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+      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required"
+      "reason": null
     },
     {
       "task_number": 15,

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-19T12:02:12+00:00",
+  "generated_at_utc": "2026-06-20T01:08:44+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -316,7 +316,7 @@
     },
     {
       "path": "data/episode128_task_model_radar.json",
-      "bytes": 185277,
+      "bytes": 184801,
       "top_level_type": "dict"
     },
     {
@@ -401,7 +401,7 @@
     },
     {
       "path": "data/publication_audit.json",
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+      "bytes": 9709,
       "top_level_type": "dict"
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     {
@@ -486,12 +486,12 @@
     },
     {
       "path": "data/task_method_20_gap_audit.json",
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       "top_level_type": "dict"
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     {
       "path": "data/task_method_20_result_matrix.json",
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@@ -526,7 +526,7 @@
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       "path": "data/unified_task_model_radar.json",
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+      "bytes": 228655,
       "top_level_type": "dict"
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     {
@@ -571,7 +571,7 @@
     {
       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 49270,
+      "bytes": 49492,
       "format": "SVG",
       "has_viewbox": true
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@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 55283,
+      "bytes": 55505,
       "format": "SVG",
       "has_viewbox": true
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docs/data/episode128_task_model_radar.json

@@ -1,12 +1,12 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
   "task_count": 20,
   "method_count": 7,
   "method_task_record_count": 140,
-  "scored_method_task_count": 116,
+  "scored_method_task_count": 118,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
@@ -30,17 +30,17 @@
       "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 18,
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       "proxy_scored_task_count": 0,
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       "not_evaluated_task_count": 0,
       "status_counts": {
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@@ -54,17 +54,17 @@
       "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
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       "proxy_scored_task_count": 0,
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       "not_evaluated_task_count": 0,
       "status_counts": {
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       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 18,
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       "status_counts": {
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@@ -2533,17 +2533,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_simple",
       "method": "128ep Aligned Simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "scored": false,
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       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
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+      "raw_text": "0.0000",
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       "metric_key": "macro_f1",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata"
+      "reason": null
     },
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       "task_number": 15,
@@ -2551,17 +2551,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_neural_mlp",
       "method": "128ep Aligned NN",
-      "status": "not_supported_by_metadata_only_package",
-      "status_label": "not supported",
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       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required"
+      "reason": null
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     {
       "task_number": 15,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:21+00:00",
+  "generated_at_utc": "2026-06-20T01:08:37+00:00",
   "summary": {
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     "expected_task_count": 12,

docs/data/unified_task_model_radar.json

@@ -1,11 +1,11 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-19T11:30:03+00:00",
+  "generated_at_utc": "2026-06-20T01:11:21+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 156,
+  "scored_method_task_count": 158,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
@@ -73,17 +73,17 @@
       "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
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@@ -97,17 +97,17 @@
       "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
       "plotted_as": "colored point overlay",
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@@ -1819,15 +1819,26 @@
           "status_label": "scored"
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           "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
           "scope": "multi_episode_128_aligned_baseline",
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-          "raw_text": "n/a",
-          "status_label": "unsupported"
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.0,
+          "raw_text": "0.0000",
+          "status_label": "scored"
+        },
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+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
+          "scope": "multi_episode_128_aligned_baseline",
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+          "raw_text": "0.0000",
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         "raw128_simple": {
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@@ -1851,17 +1862,6 @@
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-          "status": "not_supported_by_metadata_only_package",
-          "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required",
-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "not supported"
-        },
         "qwen3_omni_v6_lora": {
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           "metric_key": "macro_f1",
@@ -2458,7 +2458,7 @@
       "id": "metadata128_simple",
       "title": "128ep Aligned Simple",
       "status": "a100_rerun_pass",
-      "coverage": "20 records / 18 scored aligned axes",
+      "coverage": "20 records / 19 scored aligned axes",
       "headline": "34,269 rows; train/val/test 25,629/4,608/4,032",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
@@ -2466,7 +2466,7 @@
       "id": "metadata128_neural_mlp",
       "title": "128ep Aligned NN",
       "status": "a100_rerun_pass",
-      "coverage": "20 records / 18 scored aligned axes",
+      "coverage": "20 records / 19 scored aligned axes",
       "headline": "compact MLP heads over metadata/text and staged block features",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
@@ -4831,17 +4831,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_simple",
       "method": "128ep Aligned Simple",
-      "status": "unsupported_without_required_target",
-      "status_label": "unsupported",
-      "scored": false,
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       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata"
+      "reason": null
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       "task_number": 15,
@@ -4849,17 +4849,17 @@
       "task_label": "Interaction Text Prediction",
       "series_id": "metadata128_neural_mlp",
       "method": "128ep Aligned NN",
-      "status": "not_supported_by_metadata_only_package",
-      "status_label": "not supported",
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       "metric_key": "macro_f1",
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+      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/interaction_text_prediction/metrics.json",
       "scope": "multi_episode_128_aligned_baseline",
-      "reason": "the 128-episode aligned rerun did not produce this task target; raw interaction text, paired camera-view embeddings, or a task-specific target builder is required"
+      "reason": null
     },
     {
       "task_number": 15,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-19T12:02:12+00:00",
+  "generated_at_utc": "2026-06-20T01:08:44+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -316,7 +316,7 @@
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     {
       "path": "data/episode128_task_model_radar.json",
-      "bytes": 185277,
+      "bytes": 184801,
       "top_level_type": "dict"
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     {
@@ -401,7 +401,7 @@
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     {
       "path": "data/publication_audit.json",
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+      "bytes": 9709,
       "top_level_type": "dict"
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     {
@@ -486,12 +486,12 @@
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     {
       "path": "data/task_method_20_gap_audit.json",
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       "top_level_type": "dict"
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       "path": "data/task_method_20_result_matrix.json",
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@@ -526,7 +526,7 @@
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       "path": "data/unified_task_model_radar.json",
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+      "bytes": 228655,
       "top_level_type": "dict"
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     {
@@ -571,7 +571,7 @@
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       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 49270,
+      "bytes": 49492,
       "format": "SVG",
       "has_viewbox": true
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@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
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