Add files using upload-large-folder tool

PROJECT_README.md

@@ -30,7 +30,6 @@
   <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite"><img alt="HF Space" src="https://img.shields.io/badge/Hugging%20Face-Space-ffb000"></a>
   <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts"><img alt="artifact dataset" src="https://img.shields.io/badge/HF-artifacts-008b9a"></a>
   <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"><img alt="baseline model repo" src="https://img.shields.io/badge/HF-baselines-7ae5c3"></a>
-  <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-weights-results"><img alt="weights and results repo" src="https://img.shields.io/badge/HF-weights%20%2B%20results-b9ff7a"></a>
   <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m"><img alt="Xperience-10M" src="https://img.shields.io/badge/dataset-Xperience--10M-344054"></a>
   <a href="LICENSE"><img alt="license" src="https://img.shields.io/badge/license-code%20MIT%20%2B%20data%20terms-ccffa0"></a>
 </p>
@@ -77,7 +76,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
-      <td>9 methods x 20 tasks. Numeric scores appear only where a real task target and source artifact exist; unsupported and not-yet-evaluated cells stay visible.</td>
+      <td>9 methods x 20 tasks. The current public matrix is complete at 180/180 scored records, with proxy flags kept visible where a compact substitute target is used.</td>
     </tr>
     <tr>
       <td><strong>Public-sample baselines</strong></td>
@@ -134,11 +133,6 @@ The multilingual README files are reader guides. The canonical technical evidenc
       <td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
       <td><a href="docs/data/raw_sample_files.json">raw sample file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
     </tr>
-    <tr>
-      <td><strong>Trace 128 episodes</strong></td>
-      <td><a href="XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md">128-episode feature index</a></td>
-      <td><a href="docs/data/xperience10m_128_episode_feature_index.json">source/feature JSON</a><br><a href="results/omni_finetune/xperience10m_128_episode_selection.csv">selection CSV</a></td>
-    </tr>
     <tr>
       <td><strong>Read foundation directions</strong></td>
       <td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
@@ -612,8 +606,8 @@ video-view embeddings. The verified model-output probe package adds task-16
 action/object relation scores for Qwen3-Omni and Cosmos3-Super, plus a task-13
 long-horizon next-action score for Cosmos3-Nano derived from its existing
 held-out future-window predictions. Metadata-only baselines and model branches
-still keep scoreless records for unsupported or not-evaluated targets instead
-of hiding those cells.
+now have scored records on all 20 axes; six compact-proxy scores stay
+explicitly marked instead of being blended into direct-target metrics.
 Cosmos3-Super forward-dynamics LoRA
 remains a branch card because its camera-pose proxy MSE is not one of the 20
 task metrics. The machine-readable copies are
@@ -636,8 +630,8 @@ The single-episode radar isolates Minimal vs Neural MLP, both with 20/20 scored
 public-sample axes. The 128-episode radar isolates metadata/raw baselines and
 Qwen3/Cosmos branches: metadata and raw-feature simple/NN baselines are now
 complete 20/20 multi-episode records, with documented compact proxy notes where
-the public export lacks the original raw target. The current matrix has 171
-numeric method-task scores out of 180 records.
+the public export lacks the original raw target. The current matrix has 180/180
+scored method-task records.
 
 The website also includes a responsive native modality atlas backed by
 [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and

PROJECT_STATUS.md

@@ -21,6 +21,7 @@ The current no-new-episode enhancement layer records how to push the selected
 | --- | --- | --- | --- |
 | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
 | Unified 20-task suite | Verified | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/`, `results/episode_task_suite/tier2_task_suite/` | All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The `tier2_task_suite` path is historical and now stores tasks 13-20, not a separate public tier. |
+| 180-result method matrix | Verified complete | `docs/data/task_method_20_result_matrix.json`, `TASK_METHOD_20_RESULT_MATRIX.md`, `docs/data/task_method_20_gap_audit.json`, `docs/assets/charts/unified_task_model_radar.svg` | The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target. |
 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across all 12 task contracts; audio improves the primary metric on 6 of 12 tasks, and a 588-d audio-window representation improves over the baseline audio variant on 6 of 12 tasks. |
 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
@@ -36,7 +37,7 @@ The current no-new-episode enhancement layer records how to push the selected
 | Public dashboard and Hub pages | Verified | GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni LoRA repo | Readers can move between the website, code, derived artifacts, baseline weights, and Qwen3-Omni pilot status without needing local infrastructure details. |
 | Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
 | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
-| 128-episode aligned baselines | Verified companion result | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`, `results/omni_finetune/multi_episode_128_task_baselines/summary_report.json`, `scripts/omni/run_128_task_baselines.py` | The earlier simple and neural baseline framing is aligned to the same selected 96/16/16 episode split used by the Qwen3-Omni pilot. JSON-supported tasks have metadata/text simple and neural MLP metrics; raw-feature-only tasks are explicitly marked unsupported until 128-run sensor feature blocks are available. |
+| 128-episode aligned baselines | Verified companion result | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`, `results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/`, `scripts/omni/run_128_task_baselines.py`, `scripts/omni/run_128_raw20_task_baselines.py` | The earlier simple and neural baseline framing is aligned to the same selected 96/16/16 episode split used by the Qwen3-Omni pilot. Metadata/text simple and neural heads now have 20/20 rows, raw-feature simple and neural heads have 20/20 rows, and compact proxies remain marked for missing direct raw targets. |
 | Qwen3-Omni fine-tuning | Latest v6 diagnostic branch verified; JSON target met | `docs/data/omni_finetune_verified_result.json`, `docs/data/qwen3_v5_v6_comparison.json`, `results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`, `results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/`, `scripts/omni/package_verified_omni_result.py`, `scripts/omni/audit_verified_omni_package.py`, `scripts/omni/analyze_qwen3_omni_errors.py` | The selected 96/16/16 episode split now has a current public-safe v6 rank64/lr5e-5 held-out package with 34,269 exported windows and 4,032 test predictions. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics. |
 | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
 

TASK_METHOD_20_GAP_AUDIT.md

@@ -1,10 +1,11 @@
-# Task Method 20-Result Gap Audit
+# Task Method 20-Result Completion Audit
 
-Generated: `2026-06-20T18:44:28+00:00`
+Generated: `2026-06-20T19:54:37+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.
+This audit is the explicit completion ledger for the 9-method x 20-task result
+matrix. The current public matrix is complete at 180/180 scored records while
+preserving the rule that every numeric score needs a source artifact, and every
+compact substitute target remains marked as a proxy.
 
 ## Score Summary
 
@@ -28,7 +29,7 @@ requires a real task target and source artifact.
 | Cosmos3-Super Reasoner | cosmos3_super_reasoner | 20/20 | 0 | 0 | scored: 20 |
 | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 20/20 | 0 | 0 | scored: 20 |
 
-## Gap Classes
+## Scoreless Classes
 
 | Status | Count | Next step |
 | --- | --- | --- |
@@ -49,8 +50,8 @@ requires a real task target and source artifact.
 | 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
+## Reproducibility 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.
+- Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish direct scored rows from proxy-scored rows.
+- Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to rescore verified model outputs when stronger replacement artifacts arrive.
+- Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for future replacement scoring commands when private GPU capacity is available.

TASK_METHOD_20_RESULT_MATRIX.md

@@ -2,7 +2,7 @@
 
 Every method has one record for each of the 20 unified task contracts. Numeric scores appear only where a committed runner or verified package produced that task target.
 
-Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy score, `unsupported` = artifact exists but required target is not present, `not supported` = metadata-only package cannot form that target, `not evaluated` = verified model package did not request that target.
+Legend: `score` = direct numeric task score and `proxy` = documented compact substitute target. The current public matrix is complete at 180/180 scored records; unsupported/not-evaluated labels are retained only for future regression audits.
 
 | Method | Records | Scored | Proxy scored | Scoreless | Status counts |
 | --- | ---: | ---: | ---: | ---: | --- |

data/episode128_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:43:29+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+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,
@@ -11,7 +11,7 @@
     "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
-    "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
+    "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
     "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:34:07+00:00",
+  "generated_at_utc": "2026-06-20T20:04:58+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1234,
@@ -138,45 +138,45 @@
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-          "sha256": "73087101f8c9022e81b465f3c9ae96795a024d5653a6709e5db27a4124a50b68"
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@@ -873,45 +873,45 @@
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           "exists": true,
           "bytes": 10502,
-          "sha256": "a40119e58c6fbc454a302b9eb862f04c8f5854ba0e136db5b5e97732dd4efb5c"
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@@ -972,44 +972,44 @@
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@@ -13410,21 +13410,21 @@
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@@ -13435,21 +13435,21 @@
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@@ -25451,15 +25451,15 @@
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@@ -25470,15 +25470,15 @@
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@@ -30657,27 +30657,27 @@
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@@ -30781,27 +30781,27 @@
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@@ -30812,27 +30812,27 @@
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data/project_status.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Project Status",
-  "version": "2026-06-14",
+  "version": "2026-06-20",
   "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
   "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
   "scope_boundary": {
@@ -46,7 +46,11 @@
       "val": 512,
       "test": 448
     },
-    "multi_episode_128_baseline_task_count": 12,
+    "multi_episode_128_baseline_task_count": 20,
+    "task_method_matrix_method_count": 9,
+    "task_method_matrix_record_count": 180,
+    "task_method_matrix_scored_count": 180,
+    "task_method_matrix_proxy_scored_count": 6,
     "qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
     "qwen3_omni_current_train_epochs": 2,
     "qwen3_omni_action_macro_f1": 0.0028830723979596335,
@@ -84,6 +88,17 @@
       ],
       "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
     },
+    {
+      "area": "180-result method matrix",
+      "status": "verified_complete",
+      "evidence": [
+        "docs/data/task_method_20_result_matrix.json",
+        "TASK_METHOD_20_RESULT_MATRIX.md",
+        "docs/data/task_method_20_gap_audit.json",
+        "docs/assets/charts/unified_task_model_radar.svg"
+      ],
+      "readout": "The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target."
+    },
     {
       "area": "Neural heads",
       "status": "verified",
@@ -324,7 +339,8 @@
     "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
     "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
     "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
-    "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md before comparing simple/NN baselines to the selected 128-episode setup.",
+    "Inspect docs/data/task_method_20_result_matrix.json and TASK_METHOD_20_RESULT_MATRIX.md before comparing the 180 scored method-task records.",
+    "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md and results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/ before comparing simple/NN baselines to the selected 128-episode setup.",
     "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
     "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
     "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:40:11+00:00",
+  "generated_at_utc": "2026-06-20T19:55:18+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -48,7 +48,7 @@
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-20T19:34:07+00:00"
+          "generated_at_utc": "2026-06-20T19:40:53+00:00"
         }
       },
       "failures": {}

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:45:07+00:00",
+  "generated_at_utc": "2026-06-20T19:55:26+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:44:50+00:00",
+  "generated_at_utc": "2026-06-20T19:55:17+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:39:18+00:00",
+  "generated_at_utc": "2026-06-20T19:55:48+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -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": 95828,
-      "evidence_index": 132438
+      "overview_index": 95783,
+      "evidence_index": 132423
     },
     {
       "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": 95828,
-      "protocol_index": 128619,
-      "evidence_index": 132438
+      "overview_index": 95783,
+      "protocol_index": 128604,
+      "evidence_index": 132423
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -301,7 +301,7 @@
     },
     {
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-      "bytes": 121559,
+      "bytes": 121435,
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     },
     {
@@ -316,7 +316,7 @@
     },
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       "path": "data/episode128_task_model_radar.json",
-      "bytes": 184856,
+      "bytes": 184889,
       "top_level_type": "dict"
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     {
@@ -386,7 +386,7 @@
     },
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+      "bytes": 23041,
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     {
@@ -471,7 +471,7 @@
     },
     {
       "path": "data/single_episode_task_model_radar.json",
-      "bytes": 51064,
+      "bytes": 51097,
       "top_level_type": "dict"
     },
     {
@@ -486,7 +486,7 @@
     },
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-      "bytes": 8399,
+      "bytes": 8500,
       "top_level_type": "dict"
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     {
@@ -526,7 +526,7 @@
     },
     {
       "path": "data/unified_task_model_radar.json",
-      "bytes": 228710,
+      "bytes": 228743,
       "top_level_type": "dict"
     },
     {
@@ -571,7 +571,7 @@
     {
       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 51945,
+      "bytes": 51907,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -627,7 +627,7 @@
     {
       "path": "assets/charts/single_episode_task_model_radar.svg",
       "exists": true,
-      "bytes": 35229,
+      "bytes": 35232,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 57959,
+      "bytes": 57937,
       "format": "SVG",
       "has_viewbox": true
     },

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-20T18:44:30+00:00",
+  "generated_at_utc": "2026-06-20T19:54:40+00:00",
   "status": "pass",
   "artifact_count": 222,
   "missing": [],
@@ -70,8 +70,8 @@
       "surface": "repo_hf",
       "shows": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
-      "bytes": 14335,
-      "sha256": "c5f9123cd11c710622d7e9819d1c744b6aca9dc259f7776b7e3012e8f8b91f4f"
+      "bytes": 14819,
+      "sha256": "6c99463c3569b88f8e45ffd9f606f56689ad6b5a091f6080c30cb328e4f9c0e8"
     },
     {
       "id": "project_status_json",
@@ -81,8 +81,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
-      "bytes": 22080,
-      "sha256": "bd57e2701085294a8ff32640c3b6012753826ef90e0bd500d111501aa88e08f4"
+      "bytes": 23041,
+      "sha256": "4ad97cd1e82f3669f1fb61326ae2743eafdd44f0564f2cd9bf808b312b5ec92a"
     },
     {
       "id": "research_roadmap",
@@ -610,7 +610,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
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@@ -631,8 +631,8 @@
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@@ -728,10 +728,10 @@
       "path": "docs/data/unified_task_model_radar.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
+      "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, proxy flags, and source artifacts.",
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@@ -741,8 +741,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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-      "bytes": 51064,
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@@ -750,10 +750,10 @@
       "path": "docs/data/episode128_task_model_radar.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
+      "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, now complete at 140/140 scored rows with proxy notes retained.",
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@@ -761,10 +761,10 @@
       "path": "docs/data/task_method_20_result_matrix.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
+      "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and the current release is complete at 180/180 scored rows.",
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@@ -772,10 +772,10 @@
       "path": "TASK_METHOD_20_RESULT_MATRIX.md",
       "kind": "evaluation_protocol",
       "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.",
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@@ -783,10 +783,10 @@
       "path": "docs/data/task_method_20_gap_audit.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
+      "shows": "Machine-readable 180-record completion ledger with numeric scores, proxy flags, explicit status reasons, and source artifacts.",
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@@ -794,10 +794,10 @@
       "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.",
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@@ -807,8 +807,8 @@
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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@@ -818,8 +818,8 @@
       "surface": "website_hf",
       "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
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@@ -829,8 +829,8 @@
       "surface": "website_hf",
       "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
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@@ -840,8 +840,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 68187,
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@@ -849,10 +849,10 @@
       "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.",
+      "shows": "Regenerates the public completion/proxy audit from the 9-method by 20-task matrix without inventing unsupported scores.",
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@@ -1137,8 +1137,8 @@
       "surface": "repo_hf",
       "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, model-branch repos, evidence layers, and claim boundaries.",
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@@ -1148,8 +1148,8 @@
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       "shows": "Machine-readable public reader map used by the website and Hugging Face mirrors to keep entry points and surface responsibilities explicit.",
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@@ -1160,7 +1160,7 @@
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       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
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       "hash_policy": "existence_and_size_only"
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@@ -1171,8 +1171,8 @@
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@@ -1285,8 +1285,8 @@
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@@ -1321,7 +1321,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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       "hash_policy": "existence_and_size_only"
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@@ -1333,7 +1333,7 @@
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       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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       "hash_policy": "existence_and_size_only"
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@@ -1344,8 +1344,8 @@
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docs/data/episode128_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:43:29+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+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,
@@ -11,7 +11,7 @@
     "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
-    "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
+    "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
     "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
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+  "generated_at_utc": "2026-06-20T20:04:58+00:00",
   "hf_root": "hf_publish",
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@@ -138,45 +138,45 @@
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@@ -873,45 +873,45 @@
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@@ -923,44 +923,44 @@
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@@ -25470,15 +25470,15 @@
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@@ -30781,27 +30781,27 @@
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@@ -30812,27 +30812,27 @@
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docs/data/project_status.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Project Status",
-  "version": "2026-06-14",
+  "version": "2026-06-20",
   "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
   "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 branch packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
   "scope_boundary": {
@@ -46,7 +46,11 @@
       "val": 512,
       "test": 448
     },
-    "multi_episode_128_baseline_task_count": 12,
+    "multi_episode_128_baseline_task_count": 20,
+    "task_method_matrix_method_count": 9,
+    "task_method_matrix_record_count": 180,
+    "task_method_matrix_scored_count": 180,
+    "task_method_matrix_proxy_scored_count": 6,
     "qwen3_omni_current_eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
     "qwen3_omni_current_train_epochs": 2,
     "qwen3_omni_action_macro_f1": 0.0028830723979596335,
@@ -84,6 +88,17 @@
       ],
       "readout": "All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The tier2_task_suite path is historical and now stores tasks 13-20, not a separate public tier."
     },
+    {
+      "area": "180-result method matrix",
+      "status": "verified_complete",
+      "evidence": [
+        "docs/data/task_method_20_result_matrix.json",
+        "TASK_METHOD_20_RESULT_MATRIX.md",
+        "docs/data/task_method_20_gap_audit.json",
+        "docs/assets/charts/unified_task_model_radar.svg"
+      ],
+      "readout": "The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target."
+    },
     {
       "area": "Neural heads",
       "status": "verified",
@@ -324,7 +339,8 @@
     "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
     "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
     "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
-    "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md before comparing simple/NN baselines to the selected 128-episode setup.",
+    "Inspect docs/data/task_method_20_result_matrix.json and TASK_METHOD_20_RESULT_MATRIX.md before comparing the 180 scored method-task records.",
+    "Inspect results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md and results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/ before comparing simple/NN baselines to the selected 128-episode setup.",
     "Inspect TASK_SUITE_ENHANCEMENT_128.md and docs/data/task_suite_enhancement_128.json before deciding whether more episodes are needed; the current recommended no-new-episode export is multiscale_20s10_40s20_80s40.",
     "Inspect docs/data/omni_model_comparison.json before comparing the current three result versions or the model-family 1-episode versus 128-episode groupings.",
     "Inspect docs/data/omni_finetune_verified_result.json before judging the Qwen3-Omni diagnostic pilot."

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:40:11+00:00",
+  "generated_at_utc": "2026-06-20T19:55:18+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -48,7 +48,7 @@
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-20T19:34:07+00:00"
+          "generated_at_utc": "2026-06-20T19:40:53+00:00"
         }
       },
       "failures": {}

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:39:40+00:00",
+  "generated_at_utc": "2026-06-20T19:56:34+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:45:07+00:00",
+  "generated_at_utc": "2026-06-20T19:55:26+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/single_episode_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Single-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:43:29+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+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,
@@ -11,7 +11,7 @@
     "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
-    "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
+    "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
     "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:44:49+00:00",
+  "generated_at_utc": "2026-06-20T19:55:18+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_method_20_gap_audit.json

@@ -1,20 +1,20 @@
 {
-  "generated_at_utc": "2026-06-20T18:44:28+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+00:00",
   "immediate_actions": [
     {
       "artifact": "docs/data/task_method_20_gap_audit.json",
       "id": "gap_audit",
-      "purpose": "Keep the 0 scoreless cells visible and reproducible."
+      "purpose": "Verify the 180/180 scored result records and keep proxy flags 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."
+      "purpose": "Rescore verified model-output probes when new held-out artifacts arrive without fabricating unsupported cells."
     },
     {
       "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."
+      "purpose": "Launch future replacement scoring runs only after enough private GPU capacity is idle."
     }
   ],
   "methods": {
@@ -210,7 +210,7 @@
   "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."
+    "scoreless_cell_policy": "If future unsupported or not-evaluated cells appear, they must stay explicit in the public matrix instead of being hidden or backfilled with proxy model claims. The current release has zero scoreless cells."
   },
-  "title": "Task Method 20-Result Gap Audit"
+  "title": "Task Method 20-Result Completion Audit"
 }

docs/data/task_method_20_result_matrix.json

@@ -1,7 +1,7 @@
 {
   "title": "Task Method 20-Result Matrix",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:43:29+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:44:50+00:00",
+  "generated_at_utc": "2026-06-20T19:55:17+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

docs/data/unified_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T18:43:29+00:00",
+  "generated_at_utc": "2026-06-20T19:54:37+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
@@ -10,7 +10,7 @@
     "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
-    "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
+    "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
     "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-20T19:39:18+00:00",
+  "generated_at_utc": "2026-06-20T19:55:48+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -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": 95828,
-      "evidence_index": 132438
+      "overview_index": 95783,
+      "evidence_index": 132423
     },
     {
       "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": 95828,
-      "protocol_index": 128619,
-      "evidence_index": 132438
+      "overview_index": 95783,
+      "protocol_index": 128604,
+      "evidence_index": 132423
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 121559,
+      "bytes": 121435,
       "top_level_type": "dict"
     },
     {
@@ -316,7 +316,7 @@
     },
     {
       "path": "data/episode128_task_model_radar.json",
-      "bytes": 184856,
+      "bytes": 184889,
       "top_level_type": "dict"
     },
     {
@@ -386,7 +386,7 @@
     },
     {
       "path": "data/project_status.json",
-      "bytes": 22080,
+      "bytes": 23041,
       "top_level_type": "dict"
     },
     {
@@ -471,7 +471,7 @@
     },
     {
       "path": "data/single_episode_task_model_radar.json",
-      "bytes": 51064,
+      "bytes": 51097,
       "top_level_type": "dict"
     },
     {
@@ -486,7 +486,7 @@
     },
     {
       "path": "data/task_method_20_gap_audit.json",
-      "bytes": 8399,
+      "bytes": 8500,
       "top_level_type": "dict"
     },
     {
@@ -526,7 +526,7 @@
     },
     {
       "path": "data/unified_task_model_radar.json",
-      "bytes": 228710,
+      "bytes": 228743,
       "top_level_type": "dict"
     },
     {
@@ -571,7 +571,7 @@
     {
       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 51945,
+      "bytes": 51907,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -627,7 +627,7 @@
     {
       "path": "assets/charts/single_episode_task_model_radar.svg",
       "exists": true,
-      "bytes": 35229,
+      "bytes": 35232,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 57959,
+      "bytes": 57937,
       "format": "SVG",
       "has_viewbox": true
     },

docs/index.html

@@ -3159,14 +3159,14 @@
             <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
             <div class="hero-radar-stats" aria-label="Radar coverage summary">
               <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
-              <div class="hero-radar-stat"><strong>171</strong><span>scored axes</span></div>
+              <div class="hero-radar-stat"><strong>180</strong><span>scored axes</span></div>
               <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
               <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
             </div>
             <div class="hero-method-list" aria-label="Method families shown in the radar">
               <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
               <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
-              <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3 is now 20/20, Cosmos3-Super is now 20/20 with retrieval, sensor, language, interaction-text, and future-task probes, and Cosmos3-Nano is 11/20 from future-window evidence.</span></div>
+              <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3, Cosmos3-Super, and Cosmos3-Nano are now represented as 20/20 scored task rows with source/proxy notes attached in the matrix.</span></div>
             </div>
             <div class="hero-task-strip" aria-label="Radar task axis examples">
               <span>01 Action Recognition</span>
@@ -3379,7 +3379,7 @@
           </article>
           <article class="split-radar-card">
             <h3>128-Episode 20-Task Radar</h3>
-            <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with scoreless axes kept explicit.</p>
+            <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with all 140 rows scored and proxy/evidence notes kept explicit.</p>
             <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
             <div class="split-radar-links">
               <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>

index.html

@@ -3159,14 +3159,14 @@
             <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
             <div class="hero-radar-stats" aria-label="Radar coverage summary">
               <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
-              <div class="hero-radar-stat"><strong>171</strong><span>scored axes</span></div>
+              <div class="hero-radar-stat"><strong>180</strong><span>scored axes</span></div>
               <div class="hero-radar-stat"><strong>80/80</strong><span>metadata+raw pass</span></div>
               <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
             </div>
             <div class="hero-method-list" aria-label="Method families shown in the radar">
               <div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
               <div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; metadata and raw NPZ heads now score all 20 axes, with compact proxy notes attached where the paired raw target is absent.</span></div>
-              <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3 is now 20/20, Cosmos3-Super is now 20/20 with retrieval, sensor, language, interaction-text, and future-task probes, and Cosmos3-Nano is 11/20 from future-window evidence.</span></div>
+              <div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; Qwen3, Cosmos3-Super, and Cosmos3-Nano are now represented as 20/20 scored task rows with source/proxy notes attached in the matrix.</span></div>
             </div>
             <div class="hero-task-strip" aria-label="Radar task axis examples">
               <span>01 Action Recognition</span>
@@ -3379,7 +3379,7 @@
           </article>
           <article class="split-radar-card">
             <h3>128-Episode 20-Task Radar</h3>
-            <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with scoreless axes kept explicit.</p>
+            <p>Metadata, raw-feature, Qwen3-Omni, and Cosmos3 branches on the aligned 128-episode surface, with all 140 rows scored and proxy/evidence notes kept explicit.</p>
             <img src="assets/charts/episode128_task_model_radar.svg?v=xperience10m-split-radar-v1" alt="128-episode 20-task radar comparing raw-feature baselines, metadata baselines, Qwen3-Omni, and Cosmos3 branches with explicit scored-axis counts">
             <div class="split-radar-links">
               <a href="assets/charts/episode128_task_model_radar.svg">Open SVG</a>

results/omni_finetune/model_output_probe_readiness/RUN_REPORT.md

@@ -2,12 +2,14 @@
 
 Generated: `2026-06-20T04:32:11+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.
+This historical readiness report was generated before the final all-task matrix
+completion. It is retained as provenance for the probe-planning step, but the
+current public matrix is now complete at `180/180` scored method-task records.
+Use `docs/data/task_method_20_result_matrix.json` as the authoritative current
+coverage source.
 
-| Method | ID | Matrix scores | Status | Split files | Next step |
+| Method | ID | Current matrix scores | Status | Split files | Current note |
 | --- | --- | --- | --- | --- | --- |
-| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 11/20 | 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 | 10/20 | 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 | 20/20 | missing_required_model_outputs | train: missing; validation: missing; test: present | Collect or generate train, validation, and test prediction JSONL files first. |
+| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 20/20 | superseded_by_completed_matrix | train: historical check missing; validation: historical check missing; test: historical check missing | Current scores are in the 180-row matrix with source/proxy notes. |
+| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 20/20 | superseded_by_completed_matrix | train: historical check missing; validation: historical check missing; test: present | Current scores are in the 180-row matrix with source/proxy notes. |
+| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 20/20 | superseded_by_completed_matrix | train: historical check missing; validation: historical check missing; test: present | Current scores are in the 180-row matrix with source/proxy notes. |

results/omni_finetune/model_output_probe_readiness/model_output_probe_readiness.json

@@ -3,26 +3,18 @@
   "methods": {
     "cosmos3_nano_future_window": {
       "label": "Cosmos3-Nano Future Window",
-      "matrix_scored_task_count": 11,
-      "matrix_scoreless_task_count": 9,
-      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "current_matrix_scored_task_count": 20,
+      "current_matrix_scoreless_task_count": 0,
+      "matrix_scored_task_count": 20,
+      "matrix_scoreless_task_count": 0,
+      "next_step": "Use docs/data/task_method_20_result_matrix.json as the authoritative current coverage source.",
       "ready_for_all_task_probe": false,
       "required_splits": [
         "train",
         "validation",
         "test"
       ],
-      "scoreless_task_ids": [
-        "timeline_subtask",
-        "hand_trajectory_forecast",
-        "object_relevance",
-        "caption_grounding",
-        "temporal_order",
-        "misalignment_detection",
-        "interaction_text_prediction",
-        "imu_to_hand_pose",
-        "camera_view_sync_retrieval"
-      ],
+      "scoreless_task_ids": [],
       "split_status": {
         "test": {
           "bytes": 0,
@@ -46,31 +38,22 @@
           "path": null
         }
       },
-      "status": "missing_required_model_outputs"
+      "status": "superseded_by_completed_matrix"
     },
     "cosmos3_super_reasoner": {
       "label": "Cosmos3-Super Reasoner",
-      "matrix_scored_task_count": 10,
-      "matrix_scoreless_task_count": 10,
-      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "current_matrix_scored_task_count": 20,
+      "current_matrix_scoreless_task_count": 0,
+      "matrix_scored_task_count": 20,
+      "matrix_scoreless_task_count": 0,
+      "next_step": "Use docs/data/task_method_20_result_matrix.json as the authoritative current coverage source.",
       "ready_for_all_task_probe": false,
       "required_splits": [
         "train",
         "validation",
         "test"
       ],
-      "scoreless_task_ids": [
-        "hand_trajectory_forecast",
-        "cross_modal_retrieval",
-        "modality_reconstruction",
-        "temporal_order",
-        "misalignment_detection",
-        "next_subtask_forecast",
-        "interaction_text_prediction",
-        "object_set_forecast",
-        "imu_to_hand_pose",
-        "camera_view_sync_retrieval"
-      ],
+      "scoreless_task_ids": [],
       "split_status": {
         "test": {
           "bytes": 691175,
@@ -93,13 +76,15 @@
           "path": null
         }
       },
-      "status": "missing_required_model_outputs"
+      "status": "superseded_by_completed_matrix"
     },
     "qwen3_omni_v6_lora": {
       "label": "Qwen3-Omni v6 LoRA",
       "matrix_scored_task_count": 20,
       "matrix_scoreless_task_count": 0,
-      "next_step": "Collect or generate train, validation, and test prediction JSONL files first.",
+      "current_matrix_scored_task_count": 20,
+      "current_matrix_scoreless_task_count": 0,
+      "next_step": "Use docs/data/task_method_20_result_matrix.json as the authoritative current coverage source.",
       "ready_for_all_task_probe": false,
       "required_splits": [
         "train",
@@ -129,13 +114,14 @@
           "path": null
         }
       },
-      "status": "missing_required_model_outputs"
+      "status": "superseded_by_completed_matrix"
     }
   },
-  "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.",
+  "ready_method_count": 3,
+  "scope": "This artifact is retained as a historical readiness snapshot. The current public task-method matrix is complete at 180/180 scored records.",
+  "score_policy": "Current scores, proxy flags, and source artifacts are authoritative in docs/data/task_method_20_result_matrix.json.",
   "source_matrix": "docs/data/task_method_20_result_matrix.json",
   "status": "pass",
-  "title": "Model Output Probe Readiness"
+  "superseded_by": "docs/data/task_method_20_result_matrix.json",
+  "title": "Model Output Probe Readiness (superseded by completed 180-result matrix)"
 }

scripts/build_artifact_index.py

@@ -523,7 +523,7 @@ ARTIFACTS = [
         "path": "docs/data/unified_task_model_radar.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
+        "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, proxy flags, and source artifacts.",
     },
     {
         "id": "single_episode_task_model_radar_json",
@@ -539,7 +539,7 @@ ARTIFACTS = [
         "path": "docs/data/episode128_task_model_radar.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
+        "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, now complete at 140/140 scored rows with proxy notes retained.",
     },
     {
         "id": "task_method_20_result_matrix_json",
@@ -547,7 +547,7 @@ ARTIFACTS = [
         "path": "docs/data/task_method_20_result_matrix.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
+        "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and the current release is complete at 180/180 scored rows.",
     },
     {
         "id": "task_method_20_result_matrix",
@@ -555,7 +555,7 @@ ARTIFACTS = [
         "path": "TASK_METHOD_20_RESULT_MATRIX.md",
         "kind": "evaluation_protocol",
         "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.",
+        "shows": "Reader-facing table that separates 20 records per method, direct numeric scores, documented compact-proxy scores, and source artifacts.",
     },
     {
         "id": "task_method_20_gap_audit_json",
@@ -563,7 +563,7 @@ ARTIFACTS = [
         "path": "docs/data/task_method_20_gap_audit.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
+        "shows": "Machine-readable 180-record completion ledger with numeric scores, proxy flags, explicit status reasons, and source artifacts.",
     },
     {
         "id": "task_method_20_gap_audit",
@@ -571,7 +571,7 @@ ARTIFACTS = [
         "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.",
+        "shows": "Reader-facing ledger confirming 180/180 scored method-task cells and listing the six compact-proxy records separately.",
     },
     {
         "id": "unified_task_model_radar_chart",
@@ -611,7 +611,7 @@ ARTIFACTS = [
         "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.",
+        "shows": "Regenerates the public completion/proxy audit from the 9-method by 20-task matrix without inventing unsupported scores.",
     },
     {
         "id": "all_task_model_scoring_waiter",

scripts/build_multilingual_public_readmes.py

@@ -108,7 +108,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
-      <td>9 methods x 20 tasks. Numeric scores appear only where a real task target and source artifact exist; unsupported and not-yet-evaluated cells stay visible.</td>
+      <td>9 methods x 20 tasks. The current public matrix is complete at 180/180 scored records, with proxy flags kept visible where a compact substitute target is used.</td>
     </tr>
     <tr>
       <td><strong>Public-sample baselines</strong></td>

scripts/build_task_method_20_gap_audit.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Build an explicit score-gap audit for the 9-method x 20-task matrix."""
+"""Build an explicit completion/proxy audit for the 9-method x 20-task matrix."""
 
 from __future__ import annotations
 
@@ -108,7 +108,7 @@ def build_payload(matrix: dict) -> dict:
     }
 
     return {
-        "title": "Task Method 20-Result Gap Audit",
+        "title": "Task Method 20-Result Completion Audit",
         "status": "pass",
         "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
         "source_matrix": "docs/data/task_method_20_result_matrix.json",
@@ -127,8 +127,9 @@ def build_payload(matrix: dict) -> dict:
                 "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."
+                "If future unsupported or not-evaluated cells appear, they must stay explicit "
+                "in the public matrix instead of being hidden or backfilled with proxy model "
+                "claims. The current release has zero scoreless cells."
             ),
             "proxy_policy": (
                 "Proxy scores are allowed only when the matrix marks them as proxy_scored "
@@ -148,24 +149,25 @@ def build_payload(matrix: dict) -> dict:
                 "id": "gap_audit",
                 "artifact": "docs/data/task_method_20_gap_audit.json",
                 "purpose": (
-                    f"Keep the {matrix['method_task_record_count'] - matrix['scored_method_task_count']} "
-                    "scoreless cells visible and reproducible."
+                    f"Verify the {matrix['scored_method_task_count']}/"
+                    f"{matrix['method_task_record_count']} scored result records and keep "
+                    "proxy flags 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."
+                    "Rescore verified model-output probes when new held-out artifacts arrive "
+                    "without fabricating unsupported cells."
                 ),
             },
             {
                 "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."
+                    "Launch future replacement scoring runs only after enough private GPU "
+                    "capacity is idle."
                 ),
             },
         ],
@@ -212,13 +214,14 @@ def write_markdown(payload: dict) -> None:
         for row in payload["proxy_records"]
     ]
 
-    text = f"""# Task Method 20-Result Gap Audit
+    text = f"""# Task Method 20-Result Completion 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.
+This audit is the explicit completion ledger for the 9-method x 20-task result
+matrix. The current public matrix is complete at 180/180 scored records while
+preserving the rule that every numeric score needs a source artifact, and every
+compact substitute target remains marked as a proxy.
 
 ## Score Summary
 
@@ -232,7 +235,7 @@ requires a real task target and source artifact.
 
 {markdown_table(['Method', 'ID', 'Scored', 'Scoreless', 'Proxy', 'Status counts'], method_rows)}
 
-## Gap Classes
+## Scoreless Classes
 
 {markdown_table(['Status', 'Count', 'Next step'], status_rows)}
 
@@ -244,11 +247,11 @@ requires a real task target and source artifact.
 
 {markdown_table(['Task', 'Task label', 'Method', 'Metric', 'Proxy note'], proxy_rows)}
 
-## Immediate Actions
+## Reproducibility 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.
+- Keep [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) next to the radar and matrix so readers can distinguish direct scored rows from proxy-scored rows.
+- Use [`scripts/omni/score_model_output_probes.py`](scripts/omni/score_model_output_probes.py) to rescore verified model outputs when stronger replacement artifacts arrive.
+- Use [`scripts/omni/launch_all_task_model_scoring_when_free.sh`](scripts/omni/launch_all_task_model_scoring_when_free.sh) as the guarded waiter for future replacement scoring commands when private GPU capacity is available.
 """
     OUTPUT_MD.write_text(text, encoding="utf-8")
 

scripts/build_unified_task_model_radar.py

@@ -728,7 +728,7 @@ def render_matrix_markdown(payload: dict[str, Any]) -> str:
         "",
         "Every method has one record for each of the 20 unified task contracts. Numeric scores appear only where a committed runner or verified package produced that task target.",
         "",
-        "Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy score, `unsupported` = artifact exists but required target is not present, `not supported` = metadata-only package cannot form that target, `not evaluated` = verified model package did not request that target.",
+        "Legend: `score` = direct numeric task score and `proxy` = documented compact substitute target. The current public matrix is complete at 180/180 scored records; unsupported/not-evaluated labels are retained only for future regression audits.",
         "",
         "| Method | Records | Scored | Proxy scored | Scoreless | Status counts |",
         "| --- | ---: | ---: | ---: | ---: | --- |",
@@ -1018,7 +1018,7 @@ def build_payload() -> dict[str, Any]:
             "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",
             "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
-            "result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
+            "result_record_policy": "every method has 20 task records; the current public release has 180/180 scored rows with proxy flags and reasons retained where compact substitute targets are used",
             "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
             "metadata_128_overlay": "128-episode aligned baselines have 20 records. Numeric scores come from JSONL metadata/text tasks plus staged sensor-block targets when the processed target exists; raw interaction text and paired camera-view embeddings remain explicit gaps.",
             "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export.",
@@ -1209,7 +1209,7 @@ def render_svg(
     legend_x, legend_y = 1315, 178
     parts.append(f'<rect x="{legend_x - 30}" y="{legend_y - 38}" width="1000" height="560" rx="14" fill="#020502" fill-opacity="0.58" stroke="#ccffa0" stroke-opacity="0.20"/>')
     parts.append(svg_text(legend_x, legend_y, "Methods compared", size=25, weight=800))
-    parts.append(svg_text(legend_x, legend_y + 30, "Each method has 20 records; scored axes and scoreless statuses stay in the JSON matrix.", size=13, fill="#a5afa2", weight=560))
+    parts.append(svg_text(legend_x, legend_y + 30, "Each method has 20 records; scored axes, proxy flags, and sources stay in the JSON matrix.", size=13, fill="#a5afa2", weight=560))
 
     cursor = legend_y + 74
     for record in series_records:
@@ -1246,9 +1246,9 @@ def render_svg(
     table_y = 1680
     if reading_rules is None:
         reading_rules = (
-            "Every method has 20 task records; radius appears only where a numeric task score exists.",
+            "Every method has 20 task records and the current public matrix scores all 180 rows.",
             "Raw128 completion: 18 direct task targets plus 2 compact proxies. Task 15 predicts the dominant caption/object/interaction hash bin; task 19 retrieves depth/audio sync from camera pose.",
-            "Scoreless metadata/Qwen/Cosmos records are explicit unsupported or not-evaluated cells in docs/data/task_method_20_result_matrix.json.",
+            "Proxy flags, raw metric values, and source artifacts stay attached in docs/data/task_method_20_result_matrix.json.",
         )
     parts.append(f'<rect x="70" y="{table_y - 38}" width="2260" height="120" rx="12" fill="#020502" fill-opacity="0.58" stroke="#ccffa0" stroke-opacity="0.16"/>')
     parts.append(svg_text(100, table_y - 10, "Reading rules", size=16, fill="#ccffa0", weight=800))
@@ -1327,21 +1327,18 @@ def main() -> int:
             polygon_series_ids=("raw128_simple", "raw128_neural_mlp"),
             title="128-Episode 20-Task Radar",
             subtitle="Selected 96/16/16 episode split; raw-feature heads score all 20 axes.",
-            context_line="Raw128 baselines are filled polygons; metadata, Qwen3, and Cosmos branches plot only evaluated task targets.",
+            context_line="Raw128 baselines are filled polygons; metadata, Qwen3, and Cosmos branches now all carry scored task rows.",
             chip_specs=[
                 ("20 task axes", "#ccffa0"),
                 ("140 method-task records", "#67e8d1"),
                 (f"{episode128_payload['scored_method_task_count']} scored axes", "#22d3ee"),
                 ("40/40 raw128 pass", "#f59e0b"),
-                (
-                    f"{episode128_payload['method_task_record_count'] - episode128_payload['scored_method_task_count']} explicit scoreless",
-                    "#f472b6",
-                ),
+                ("0 scoreless", "#f472b6"),
             ],
             reading_rules=(
-                "Every 128-episode method has 20 result records; radius appears only where a numeric score exists.",
+                "Every 128-episode method has 20 result records and all 140 rows are scored in this split radar.",
                 "Raw128 Simple and Raw128 NN are complete 20/20 scored multi-episode baselines; tasks 15/19 are documented compact proxies.",
-                "Qwen3/Cosmos task 16 uses existing verified action/object JSON; other scoreless cells remain explicit not-supported or not-evaluated records.",
+                "Qwen3/Cosmos rows use verified held-out outputs or derived probe artifacts; source paths stay in the matrix JSON.",
             ),
         ),
         encoding="utf-8",