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Browse files- TASK_METHOD_20_GAP_AUDIT.md +1 -1
- TASK_METHOD_20_RESULT_MATRIX.md +2 -2
- assets/charts/episode128_task_model_radar.svg +4 -3
- assets/charts/unified_task_model_radar.svg +3 -2
- data/episode128_task_model_radar.json +26 -26
- data/mirror_parity.json +110 -110
- data/publication_audit.json +1 -1
- data/single_episode_task_model_radar.json +1 -1
- data/task_method_20_gap_audit.json +1 -1
- data/task_method_20_result_matrix.json +18 -18
- data/task_surface_integrity.json +1 -1
- data/unified_task_model_radar.json +30 -30
- data/website_integrity.json +6 -6
- docs/assets/charts/episode128_task_model_radar.svg +4 -3
- docs/assets/charts/unified_task_model_radar.svg +3 -2
- docs/data/episode128_task_model_radar.json +26 -26
- docs/data/mirror_parity.json +110 -110
- docs/data/publication_audit.json +1 -1
- docs/data/single_episode_task_model_radar.json +1 -1
- docs/data/task_method_20_gap_audit.json +1 -1
- docs/data/task_method_20_result_matrix.json +18 -18
- docs/data/task_surface_integrity.json +1 -1
- docs/data/unified_task_model_radar.json +30 -30
- docs/data/website_integrity.json +6 -6
TASK_METHOD_20_GAP_AUDIT.md
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-18T06:01:21+00:00`
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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TASK_METHOD_20_RESULT_MATRIX.md
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@@ -12,7 +12,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
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| 128ep Metadata NN | 20 | 6 | 0 | 14 | not supported 14, scored 6 |
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| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| Qwen3-Omni v6 LoRA | 20 |
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| Cosmos3-Super Reasoner | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
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| Cosmos3-Nano Future Window | 20 | 5 | 0 | 15 | not evaluated 15, scored 5 |
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@@ -25,7 +25,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
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| 05 | Hand Trajectory Forecasting | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 08 | Language Grounding | score | score | score | not supported | score | score |
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| 09 | Cross-Modal Retrieval | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | score |
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| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 11 | Temporal Order Verification | score | score | score | not supported | score | score | score | not evaluated | not evaluated |
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| 128ep Metadata NN | 20 | 6 | 0 | 14 | not supported 14, scored 6 |
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| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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+
| Qwen3-Omni v6 LoRA | 20 | 14 | 0 | 6 | not evaluated 6, scored 14 |
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| Cosmos3-Super Reasoner | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
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| Cosmos3-Nano Future Window | 20 | 5 | 0 | 15 | not evaluated 15, scored 5 |
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| 05 | Hand Trajectory Forecasting | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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+
| 08 | Language Grounding | score | score | score | not supported | score | score | score | not evaluated | not evaluated |
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| 09 | Cross-Modal Retrieval | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | score |
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| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 11 | Temporal Order Verification | score | score | score | not supported | score | score | score | not evaluated | not evaluated |
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assets/charts/episode128_task_model_radar.svg
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assets/charts/unified_task_model_radar.svg
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data/episode128_task_model_radar.json
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{
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"title": "128-Episode 20-Task Radar",
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"status": "pass",
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"generated_at_utc": "2026-06-
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"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.",
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"task_count": 20,
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"method_count": 7,
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"method_task_record_count": 140,
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"scored_method_task_count":
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"normalization_policy": {
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"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
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"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
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"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
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"plotted_as": "colored point overlay",
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"result_record_count": 20,
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-
"scored_task_count":
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"covered_task_count":
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"proxy_scored_task_count": 0,
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"scoreless_task_count":
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"unsupported_task_count": 0,
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"not_evaluated_task_count":
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"status_counts": {
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"not_evaluated_in_verified_package":
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"scored":
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"coverage_fraction": 0.
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"result_record_fraction": 1.0
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{
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"status_label": "scored"
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},
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"qwen3_omni_v6_lora": {
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"raw":
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"metric_key": "
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"scope": "multi_episode_128_partial_model_overlay",
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"normalized_score":
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"cosmos3_super_reasoner": {
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"raw": null,
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"task_label": "Language Grounding",
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"series_id": "qwen3_omni_v6_lora",
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"method": "Qwen3-Omni v6 LoRA",
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"status": "
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"scored":
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"proxy_scored": false,
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"source":
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"scope": "multi_episode_128_partial_model_overlay",
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"reason":
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{
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"task_number": 8,
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{
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"title": "128-Episode 20-Task Radar",
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"status": "pass",
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+
"generated_at_utc": "2026-06-18T06:01:21+00:00",
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"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.",
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"task_count": 20,
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"method_count": 7,
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"method_task_record_count": 140,
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+
"scored_method_task_count": 80,
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"normalization_policy": {
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"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
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"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
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|
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"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
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"plotted_as": "colored point overlay",
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"result_record_count": 20,
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+
"scored_task_count": 14,
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"covered_task_count": 14,
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"proxy_scored_task_count": 0,
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"scoreless_task_count": 6,
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"unsupported_task_count": 0,
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"not_evaluated_task_count": 6,
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"status_counts": {
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"not_evaluated_in_verified_package": 6,
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"scored": 14
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"coverage_fraction": 0.7,
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"result_record_fraction": 1.0
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},
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{
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"status_label": "scored"
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},
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"qwen3_omni_v6_lora": {
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"raw": 0.8764467592592605,
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"metric_key": "caption_grounding_mrr",
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_retrieval_task_probes_a100_20260617T175919Z/caption_grounding/metrics.json",
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"scope": "multi_episode_128_partial_model_overlay",
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"status": "scored",
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"reason": null,
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"normalized_score": 0.8764467592592605,
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"raw_text": "0.8764",
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"status_label": "scored"
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},
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"cosmos3_super_reasoner": {
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"raw": null,
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"task_label": "Language Grounding",
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"series_id": "qwen3_omni_v6_lora",
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"method": "Qwen3-Omni v6 LoRA",
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"status": "scored",
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"status_label": "scored",
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"scored": true,
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"proxy_scored": false,
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"raw": 0.8764467592592605,
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"raw_text": "0.8764",
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"normalized_score": 0.8764467592592605,
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"metric_key": "caption_grounding_mrr",
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_retrieval_task_probes_a100_20260617T175919Z/caption_grounding/metrics.json",
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"scope": "multi_episode_128_partial_model_overlay",
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| 2498 |
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| 3770 |
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data/website_integrity.json
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@@ -316,7 +316,7 @@
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| 1049 |
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| 1050 |
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| 1051 |
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|
| 1052 |
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|
| 1053 |
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| 1054 |
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"status_label": "scored"
|
| 1055 |
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},
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| 1056 |
"metadata128_simple": {
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| 1057 |
"raw": 0.002332374220713973,
|
| 1058 |
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|
|
|
|
| 1097 |
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| 1098 |
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|
| 1099 |
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1100 |
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| 1101 |
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| 1102 |
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| 2492 |
"title": "Qwen3-Omni v6 LoRA",
|
| 2493 |
"status": "verified",
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| 2494 |
"task_aligned_axes": "Qwen3",
|
| 2495 |
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"coverage": "20 records / 14 scored task-aligned axes",
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| 2496 |
"headline": "JSON validity 0.9990; action macro-F1 0.0029",
|
| 2497 |
"source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json"
|
| 2498 |
},
|
|
|
|
| 3770 |
"task_label": "Language Grounding",
|
| 3771 |
"series_id": "qwen3_omni_v6_lora",
|
| 3772 |
"method": "Qwen3-Omni v6 LoRA",
|
| 3773 |
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| 3774 |
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|
| 3775 |
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| 3776 |
"proxy_scored": false,
|
| 3777 |
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|
| 3778 |
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| 3779 |
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"normalized_score": 0.8764467592592605,
|
| 3780 |
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"metric_key": "caption_grounding_mrr",
|
| 3781 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_retrieval_task_probes_a100_20260617T175919Z/caption_grounding/metrics.json",
|
| 3782 |
"scope": "multi_episode_128_partial_model_overlay",
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| 3783 |
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|
| 3784 |
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|
| 3785 |
{
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| 3786 |
"task_number": 8,
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docs/data/website_integrity.json
CHANGED
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| 1 |
{
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| 2 |
"status": "pass",
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"generated_at_utc": "2026-06-
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| 4 |
"docs_root": "docs",
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"site_base": "/ropedia-xperience-10m-task-suite/",
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| 6 |
"summary": {
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|
@@ -316,7 +316,7 @@
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|
| 316 |
},
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| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
-
"bytes":
|
| 320 |
"top_level_type": "dict"
|
| 321 |
},
|
| 322 |
{
|
|
@@ -491,7 +491,7 @@
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|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
-
"bytes":
|
| 495 |
"top_level_type": "dict"
|
| 496 |
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|
| 497 |
{
|
|
@@ -526,7 +526,7 @@
|
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
-
"bytes":
|
| 530 |
"top_level_type": "dict"
|
| 531 |
},
|
| 532 |
{
|
|
@@ -566,7 +566,7 @@
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|
| 566 |
{
|
| 567 |
"path": "assets/charts/episode128_task_model_radar.svg",
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| 568 |
"exists": true,
|
| 569 |
-
"bytes":
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| 570 |
"format": "SVG",
|
| 571 |
"has_viewbox": true
|
| 572 |
},
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|
@@ -636,7 +636,7 @@
|
|
| 636 |
{
|
| 637 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 638 |
"exists": true,
|
| 639 |
-
"bytes":
|
| 640 |
"format": "SVG",
|
| 641 |
"has_viewbox": true
|
| 642 |
},
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|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-18T06:01:40+00:00",
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| 4 |
"docs_root": "docs",
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| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
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| 6 |
"summary": {
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|
|
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
+
"bytes": 187275,
|
| 320 |
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|
| 321 |
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|
| 322 |
{
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| 491 |
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| 492 |
{
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| 493 |
"path": "data/task_method_20_result_matrix.json",
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| 494 |
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| 495 |
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|
| 496 |
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| 497 |
{
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|
|
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
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"bytes": 231127,
|
| 530 |
"top_level_type": "dict"
|
| 531 |
},
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| 532 |
{
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|
| 566 |
{
|
| 567 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 568 |
"exists": true,
|
| 569 |
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"bytes": 44490,
|
| 570 |
"format": "SVG",
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| 571 |
"has_viewbox": true
|
| 572 |
},
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|
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|
| 636 |
{
|
| 637 |
"path": "assets/charts/unified_task_model_radar.svg",
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| 638 |
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| 639 |
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| 640 |
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