Update complete20 raw task baselines

PROJECT_README.md

@@ -120,9 +120,9 @@ This project is best read as a staged embodied-AI research study:
 | --- | --- | --- |
 | Data understanding | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned windows, and an 8,546-dimensional multimodal representation. | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md) |
 | Task suite | Twenty human-readable tasks cover action, procedure, contact, object, language, retrieval, reconstruction, order, synchronization, long-horizon forecasting, interaction text, action-object binding, sensor bridging, camera sync, and transition timing. Tasks 13-20 live under the historical `tier2_task_suite` artifact path for link stability, but they are part of the same suite. | [`TASK_SUITE_20.md`](TASK_SUITE_20.md), [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json), [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json), [`results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md) |
-| Baselines | Minimal heads and compact PyTorch MLP heads provide a first controlled comparison on the same chronological split; the selected 128-episode setup also has same-split simple/NN metadata baselines for JSON-supported tasks and raw-feature simple/NN baselines on 18 of 20 task axes. | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/), [`results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`](results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md), [`results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json`](results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json) |
+| Baselines | Minimal heads and compact PyTorch MLP heads provide a first controlled comparison on the same chronological split; the selected 128-episode setup also has same-split simple/NN metadata baselines for JSON-supported tasks and raw-feature simple/NN baselines on all 20 task axes, with tasks 15 and 19 explicitly marked as compact-proxy completions. | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/), [`results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`](results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md), [`results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json`](results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json) |
 | Diagnostics | Audio contribution, modality ablations, timeline overlays, object labels, and alignment stress tests show which signals are useful and which tasks remain hard. | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md), [`docs/single_episode_explorer.html`](docs/single_episode_explorer.html) |
-| Scale-up | The selected 128-episode Qwen3-Omni LoRA diagnostic path now has a latest verified v6 held-out package: 96/16/16 selected episodes, 34,269 exported windows, 4,032 held-out test predictions, and public-safe metrics/predictions. v6 improves action macro-F1/contact accuracy versus v5, while v5 remains the pinned prior release row because it is stronger on several other metrics. Same-split simple/NN metadata baselines are published for JSON-supported axes, and the raw-feature run adds simple/NN baselines on 18/20 task axes; the two missing axes require raw interaction text and paired video-view feature blocks absent from the 128 export. Cosmos3-Nano has a verified future-window compatibility package. Cosmos3-Super now has two verified branches: a 448-window base-weight JSON-task Reasoner evaluation and a fine-tuned forward-dynamics LoRA package over camera-pose proxy targets with 2,848 train rows, 512 val rows, and 448 test rows. The 128-episode enhancement pack records the no-new-episode path: dense-window sizing, hierarchical action/subtask targets, task bottlenecks, and experiment cards for the next Qwen/Cosmos/policy pushes without overwriting existing results. | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md), [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json), [`docs/data/omni_model_comparison.json`](docs/data/omni_model_comparison.json), [`docs/data/omni_finetune_verified_result.json`](docs/data/omni_finetune_verified_result.json), [`docs/data/qwen3_v5_v6_comparison.json`](docs/data/qwen3_v5_v6_comparison.json), [`results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`](results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md), [`results/omni_finetune/OMNI_MODEL_COMPARISON.md`](results/omni_finetune/OMNI_MODEL_COMPARISON.md), [`results/omni_finetune/verified_public/`](results/omni_finetune/verified_public/), [`results/omni_finetune/task_suite_enhancement_128_v1_20260608/`](results/omni_finetune/task_suite_enhancement_128_v1_20260608/) |
+| Scale-up | The selected 128-episode Qwen3-Omni LoRA diagnostic path now has a latest verified v6 held-out package: 96/16/16 selected episodes, 34,269 exported windows, 4,032 held-out test predictions, and public-safe metrics/predictions. v6 improves action macro-F1/contact accuracy versus v5, while v5 remains the pinned prior release row because it is stronger on several other metrics. Same-split simple/NN metadata baselines are published for JSON-supported axes, and the raw-feature run now adds simple/NN baselines on 20/20 task axes; tasks 15 and 19 are documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export. Cosmos3-Nano has a verified future-window compatibility package. Cosmos3-Super now has two verified branches: a 448-window base-weight JSON-task Reasoner evaluation and a fine-tuned forward-dynamics LoRA package over camera-pose proxy targets with 2,848 train rows, 512 val rows, and 448 test rows. The 128-episode enhancement pack records the no-new-episode path: dense-window sizing, hierarchical action/subtask targets, task bottlenecks, and experiment cards for the next Qwen/Cosmos/policy pushes without overwriting existing results. | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md), [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json), [`docs/data/omni_model_comparison.json`](docs/data/omni_model_comparison.json), [`docs/data/omni_finetune_verified_result.json`](docs/data/omni_finetune_verified_result.json), [`docs/data/qwen3_v5_v6_comparison.json`](docs/data/qwen3_v5_v6_comparison.json), [`results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`](results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md), [`results/omni_finetune/OMNI_MODEL_COMPARISON.md`](results/omni_finetune/OMNI_MODEL_COMPARISON.md), [`results/omni_finetune/verified_public/`](results/omni_finetune/verified_public/), [`results/omni_finetune/task_suite_enhancement_128_v1_20260608/`](results/omni_finetune/task_suite_enhancement_128_v1_20260608/) |
 
 Detailed dataset notes, reproduction checks, and generated JSON reports are
 included for readers who want to inspect the implementation, but they are
@@ -317,8 +317,10 @@ also have a compact chart and result bundle under the historical
 The unified radar compares all 20 task axes with two filled colors for the
 minimal and neural MLP baselines. The 128-episode metadata simple/NN overlays
 are plotted on JSONL-supported axes, and the raw-feature simple/NN overlays
-are plotted on 18/20 axes backed by the exported 4430-dimensional sensor NPZ
-blocks. Qwen3-Omni and Cosmos3 overlays are plotted only where their verified
+are plotted on all 20 axes backed by the exported 4430-dimensional sensor NPZ
+blocks. Tasks 15 and 19 are marked as compact-proxy completions because the
+128 export lacks raw interaction strings and paired video-view embeddings.
+Qwen3-Omni and Cosmos3 overlays are plotted only where their verified
 128-episode public metrics map to the same task semantics. Cosmos3-Super
 forward-dynamics LoRA remains a branch card because its camera-pose proxy MSE is
 not one of the 20 task metrics. The

data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-16T07:51:12+00:00",
+  "generated_at_utc": "2026-06-16T08:49:31+00:00",
   "status": "pass",
   "artifact_count": 177,
   "missing": [],
@@ -465,7 +465,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "fb8bb8e5cd7eeea8d0b5ffb22ddedb7ea36fd023d57d54b5a9c1cf0cf83a2102"
+      "sha256": "412c42101e98f05afb9f4e79c3884930b07c9c5ff8dcb0b108fecfc1c0af5e24"
     },
     {
       "id": "source_alignment_validator",
@@ -607,8 +607,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 27128,
-      "sha256": "8c32b725318f5a3e8ba384b496e099d93f353d009e475dbc6243d229aff4ea13"
+      "bytes": 27347,
+      "sha256": "8b5eb0a12fb320024f942bc650fb0fe779a0a59e835f26e71ccb55885695adda"
     },
     {
       "id": "a100_128_metadata_task_baselines",
@@ -624,13 +624,13 @@
     {
       "id": "a100_128_raw20_task_baselines",
       "title": "128-episode raw-feature 20-task baselines",
-      "path": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json",
+      "path": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json",
       "kind": "model_result",
       "surface": "repo_hf",
-      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 18 of 20 task axes with documented raw-source gaps for interaction text and camera-view sync.",
+      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 20 of 20 task axes, with interaction text and camera-view sync marked as compact-proxy completions because the 128 export lacks raw interaction strings and paired video-view embeddings.",
       "exists": true,
-      "bytes": 11638,
-      "sha256": "a2c8a63f04f9f13f97929551551505898b1c8b0b4a8964bdd0a035d5f600f4b6"
+      "bytes": 23050,
+      "sha256": "4a5191c070bb43940c34d8495af44d771ec2d183f66205d15007480f9b764a42"
     },
     {
       "id": "research_takeaways",
@@ -920,7 +920,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 131884,
+      "bytes": 131868,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -964,8 +964,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 48739,
-      "sha256": "c0229653930917bd2cd71daf763ed85f140614bdeeef1db06b712519a684e746"
+      "bytes": 48848,
+      "sha256": "c7e9027d5ee936ec66f1328a187b8d321cd66af679df87e6e1d76e2b5a76672e"
     },
     {
       "id": "publication_audit",
@@ -1000,7 +1000,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 727544,
+      "bytes": 832111,
       "hash_policy": "existence_and_size_only"
     },
     {

data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:50:07+00:00",
+  "generated_at_utc": "2026-06-16T08:49:33+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 24,
   "figures": [
@@ -359,8 +359,8 @@
       "source_script": "scripts/build_unified_task_model_radar.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,
-      "bytes": 37499,
-      "sha256": "2fdcb43457b95b467fd83b9679217177d34572461649d6ed74a9831b6eb1e575",
+      "bytes": 37974,
+      "sha256": "75f037b5e2517a64e6bafb1f6bf92cf67d5144299c94ff5a7f3a900ca2cbf267",
       "dimensions": {
         "format": "SVG",
         "width": 1720,

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:57:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:02+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": "2026-06-16T07:56:47+00:00"
+          "generated_at_utc": "2026-06-16T08:01:18+00:00"
         }
       },
       "failures": {}

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:48+00:00",
+  "generated_at_utc": "2026-06-16T08:51:12+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -193,8 +193,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1112,
-      "text_file_count": 921,
+      "file_count": 1183,
+      "text_file_count": 988,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -204,8 +204,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 895,
-      "text_file_count": 743,
+      "file_count": 966,
+      "text_file_count": 810,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -215,8 +215,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 2081,
-      "text_file_count": 922,
+      "file_count": 2152,
+      "text_file_count": 989,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -226,8 +226,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 2510,
-      "text_file_count": 1080,
+      "file_count": 2581,
+      "text_file_count": 1147,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:50:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:01+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:11+00:00",
+  "generated_at_utc": "2026-06-16T08:50:31+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:02+00:00",
+  "generated_at_utc": "2026-06-16T08:50:24+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:24+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

data/unified_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:51:12+00:00",
+  "generated_at_utc": "2026-06-16T08:49:30+00:00",
   "task_count": 20,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
@@ -9,7 +9,7 @@
     "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",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
-    "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features and are plotted only on task axes supported by the exported feature blocks."
+    "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."
   },
   "series": [
     {
@@ -61,22 +61,22 @@
       "label": "128ep Raw Simple",
       "short_label": "128-RS",
       "color": "#f59e0b",
-      "kind": "partial_128_episode_raw_feature_baseline",
-      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
       "stroke_dasharray": "8 4",
-      "covered_task_count": 18,
-      "coverage_fraction": 0.9
+      "covered_task_count": 20,
+      "coverage_fraction": 1.0
     },
     {
       "id": "raw128_neural_mlp",
       "label": "128ep Raw NN",
       "short_label": "128-RN",
       "color": "#22d3ee",
-      "kind": "partial_128_episode_raw_feature_baseline",
-      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
       "stroke_dasharray": "2 5",
-      "covered_task_count": 18,
-      "coverage_fraction": 0.9
+      "covered_task_count": 20,
+      "coverage_fraction": 1.0
     },
     {
       "id": "qwen3_omni_v6_lora",
@@ -182,7 +182,7 @@
         "raw128_simple": {
           "raw": 0.002915061325704321,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.002915061325704321,
           "raw_text": "0.0029"
@@ -190,7 +190,7 @@
         "raw128_neural_mlp": {
           "raw": 0.0014955083181204041,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0014955083181204041,
           "raw_text": "0.0015"
@@ -258,7 +258,7 @@
         "raw128_simple": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_subtask/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_subtask/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -266,7 +266,7 @@
         "raw128_neural_mlp": {
           "raw": 7.35632183908046e-05,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_subtask/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_subtask/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 7.35632183908046e-05,
           "raw_text": "0.0001"
@@ -342,7 +342,7 @@
         "raw128_simple": {
           "raw": 0.4203613574238283,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/transition_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/transition_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.4203613574238283,
           "raw_text": "0.4204"
@@ -350,7 +350,7 @@
         "raw128_neural_mlp": {
           "raw": 0.4902206914147213,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/transition_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/transition_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.4902206914147213,
           "raw_text": "0.4902"
@@ -426,7 +426,7 @@
         "raw128_simple": {
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.003285273363482094,
           "raw_text": "0.0033"
@@ -434,7 +434,7 @@
         "raw128_neural_mlp": {
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           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0018477984371755407,
           "raw_text": "0.0018"
@@ -470,7 +470,7 @@
         "raw128_simple": {
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           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/hand_trajectory_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/hand_trajectory_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.39516420515180267,
           "raw_text": "0.2729"
@@ -478,7 +478,7 @@
         "raw128_neural_mlp": {
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           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.5837560051580399,
           "raw_text": "0.1848"
@@ -554,7 +554,7 @@
         "raw128_simple": {
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           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/contact_prediction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/contact_prediction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.886990707397193,
           "raw_text": "0.8870"
@@ -562,7 +562,7 @@
         "raw128_neural_mlp": {
           "raw": 1.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/contact_prediction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/contact_prediction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 1.0,
           "raw_text": "1.000"
@@ -630,7 +630,7 @@
         "raw128_simple": {
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           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/object_relevance/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_relevance/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0655376369662084,
           "raw_text": "0.0655"
@@ -638,7 +638,7 @@
         "raw128_neural_mlp": {
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           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/object_relevance/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_relevance/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1765890386972509,
           "raw_text": "0.1766"
@@ -680,17 +680,17 @@
           "raw_text": "0.0023"
         },
         "raw128_simple": {
-          "raw": 0.011150892823934555,
+          "raw": 0.011138836853206158,
           "metric_key": "mrr",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/caption_grounding/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/caption_grounding/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
-          "normalized_score": 0.011150892823934555,
-          "raw_text": "0.0112"
+          "normalized_score": 0.011138836853206158,
+          "raw_text": "0.0111"
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         "raw128_neural_mlp": {
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           "metric_key": "mrr",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/caption_grounding/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/caption_grounding/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0063402121886610985,
           "raw_text": "0.0063"
@@ -734,7 +734,7 @@
         "raw128_simple": {
           "raw": 0.003459817497059703,
           "metric_key": "mrr",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/cross_modal_retrieval/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/cross_modal_retrieval/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.003459817497059703,
           "raw_text": "0.0035"
@@ -742,7 +742,7 @@
         "raw128_neural_mlp": {
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           "metric_key": "mrr",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.002535284962505102,
           "raw_text": "0.0025"
@@ -778,7 +778,7 @@
         "raw128_simple": {
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           "metric_key": "r2",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/modality_reconstruction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/modality_reconstruction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "-1.345"
@@ -786,7 +786,7 @@
         "raw128_neural_mlp": {
           "raw": -1.3974418160502369,
           "metric_key": "r2",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/modality_reconstruction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/modality_reconstruction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "-1.397"
@@ -830,7 +830,7 @@
         "raw128_simple": {
           "raw": 0.49824413370686593,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/temporal_order/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/temporal_order/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.49824413370686593,
           "raw_text": "0.4982"
@@ -838,7 +838,7 @@
         "raw128_neural_mlp": {
           "raw": 0.8030047098504103,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/temporal_order/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/temporal_order/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.8030047098504103,
           "raw_text": "0.8030"
@@ -874,7 +874,7 @@
         "raw128_simple": {
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           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/misalignment_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/misalignment_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.4958867673901769,
           "raw_text": "0.4959"
@@ -882,7 +882,7 @@
         "raw128_neural_mlp": {
           "raw": 0.8272709077974252,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/misalignment_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/misalignment_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.8272709077974252,
           "raw_text": "0.8273"
@@ -918,7 +918,7 @@
         "raw128_simple": {
           "raw": 0.0024280172369056294,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/long_horizon_next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/long_horizon_next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0024280172369056294,
           "raw_text": "0.0024"
@@ -926,7 +926,7 @@
         "raw128_neural_mlp": {
           "raw": 0.001063859887389299,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/long_horizon_next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/long_horizon_next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.001063859887389299,
           "raw_text": "0.0011"
@@ -962,7 +962,7 @@
         "raw128_simple": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/next_subtask_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_subtask_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -970,7 +970,7 @@
         "raw128_neural_mlp": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/next_subtask_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_subtask_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -1002,6 +1002,22 @@
           "scope": "single_episode_public_sample",
           "normalized_score": 0.0380952380952381,
           "raw_text": "0.0381"
+        },
+        "raw128_simple": {
+          "raw": 0.012611998261547169,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.012611998261547169,
+          "raw_text": "0.0126"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.009791421280985521,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.009791421280985521,
+          "raw_text": "0.0098"
         }
       }
     },
@@ -1034,7 +1050,7 @@
         "raw128_simple": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/action_object_relation/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/action_object_relation/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -1042,7 +1058,7 @@
         "raw128_neural_mlp": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/action_object_relation/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/action_object_relation/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -1078,7 +1094,7 @@
         "raw128_simple": {
           "raw": 0.06469493412657774,
           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/object_set_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_set_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.06469493412657774,
           "raw_text": "0.0647"
@@ -1086,7 +1102,7 @@
         "raw128_neural_mlp": {
           "raw": 0.17523098630012288,
           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/object_set_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_set_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.17523098630012288,
           "raw_text": "0.1752"
@@ -1122,7 +1138,7 @@
         "raw128_simple": {
           "raw": 0.22941437363624573,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/imu_to_hand_pose/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/imu_to_hand_pose/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1832902066792771,
           "raw_text": "0.2294"
@@ -1130,7 +1146,7 @@
         "raw128_neural_mlp": {
           "raw": 0.252998411655426,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1662042369509182,
           "raw_text": "0.2530"
@@ -1162,6 +1178,22 @@
           "scope": "single_episode_public_sample",
           "normalized_score": 0.24086658656597137,
           "raw_text": "0.2409"
+        },
+        "raw128_simple": {
+          "raw": 0.0026625150348991156,
+          "metric_key": "mrr",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0026625150348991156,
+          "raw_text": "0.0027"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.0025448438245803118,
+          "metric_key": "mrr",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0025448438245803118,
+          "raw_text": "0.0025"
         }
       }
     },
@@ -1192,17 +1224,17 @@
           "raw_text": "10.55"
         },
         "raw128_simple": {
-          "raw": 52.32759094238281,
+          "raw": 52.32759475708008,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/time_to_transition/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/time_to_transition/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
-          "normalized_score": 0.20137285487211684,
+          "normalized_score": 0.20137284019197565,
           "raw_text": "52.33"
         },
         "raw128_neural_mlp": {
           "raw": 42.374061584472656,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/time_to_transition/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/time_to_transition/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.24867468405504953,
           "raw_text": "42.37"
@@ -1230,18 +1262,18 @@
     {
       "id": "raw128_simple",
       "title": "128ep Raw Simple",
-      "status": "a100_raw20_pass_with_documented_gaps",
-      "coverage": "18/20 raw-feature-supported axes",
-      "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor feature blocks",
-      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+      "status": "a100_raw20_complete_with_documented_proxies",
+      "coverage": "20/20 axes; 18 direct + 2 proxy",
+      "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor blocks",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },
     {
       "id": "raw128_neural_mlp",
       "title": "128ep Raw NN",
-      "status": "a100_raw20_pass_with_documented_gaps",
-      "coverage": "18/20 raw-feature-supported axes",
-      "headline": "MLP heads ran on staged feature shards; raw interaction text and paired camera-view features are absent",
-      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+      "status": "a100_raw20_complete_with_documented_proxies",
+      "coverage": "20/20 axes; 18 direct + 2 proxy",
+      "headline": "MLP heads over staged features; tasks 15/19 use compact proxies",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },
     {
       "id": "qwen3_omni_v6_lora",

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:52:05+00:00",
+  "generated_at_utc": "2026-06-16T08:50:28+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 96646,
+      "bytes": 96755,
       "top_level_type": "dict"
     },
     {
@@ -336,12 +336,12 @@
     },
     {
       "path": "data/live_publication_status.json",
-      "bytes": 131884,
+      "bytes": 131868,
       "top_level_type": "dict"
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 727544,
+      "bytes": 832111,
       "top_level_type": "dict"
     },
     {
@@ -491,7 +491,7 @@
     },
     {
       "path": "data/unified_task_model_radar.json",
-      "bytes": 54075,
+      "bytes": 56596,
       "top_level_type": "dict"
     },
     {
@@ -587,7 +587,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 37507,
+      "bytes": 37974,
       "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": "2026-06-16T07:51:12+00:00",
+  "generated_at_utc": "2026-06-16T08:49:31+00:00",
   "status": "pass",
   "artifact_count": 177,
   "missing": [],
@@ -465,7 +465,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "fb8bb8e5cd7eeea8d0b5ffb22ddedb7ea36fd023d57d54b5a9c1cf0cf83a2102"
+      "sha256": "412c42101e98f05afb9f4e79c3884930b07c9c5ff8dcb0b108fecfc1c0af5e24"
     },
     {
       "id": "source_alignment_validator",
@@ -607,8 +607,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 27128,
-      "sha256": "8c32b725318f5a3e8ba384b496e099d93f353d009e475dbc6243d229aff4ea13"
+      "bytes": 27347,
+      "sha256": "8b5eb0a12fb320024f942bc650fb0fe779a0a59e835f26e71ccb55885695adda"
     },
     {
       "id": "a100_128_metadata_task_baselines",
@@ -624,13 +624,13 @@
     {
       "id": "a100_128_raw20_task_baselines",
       "title": "128-episode raw-feature 20-task baselines",
-      "path": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json",
+      "path": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json",
       "kind": "model_result",
       "surface": "repo_hf",
-      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 18 of 20 task axes with documented raw-source gaps for interaction text and camera-view sync.",
+      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 20 of 20 task axes, with interaction text and camera-view sync marked as compact-proxy completions because the 128 export lacks raw interaction strings and paired video-view embeddings.",
       "exists": true,
-      "bytes": 11638,
-      "sha256": "a2c8a63f04f9f13f97929551551505898b1c8b0b4a8964bdd0a035d5f600f4b6"
+      "bytes": 23050,
+      "sha256": "4a5191c070bb43940c34d8495af44d771ec2d183f66205d15007480f9b764a42"
     },
     {
       "id": "research_takeaways",
@@ -920,7 +920,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 131884,
+      "bytes": 131868,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -964,8 +964,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 48739,
-      "sha256": "c0229653930917bd2cd71daf763ed85f140614bdeeef1db06b712519a684e746"
+      "bytes": 48848,
+      "sha256": "c7e9027d5ee936ec66f1328a187b8d321cd66af679df87e6e1d76e2b5a76672e"
     },
     {
       "id": "publication_audit",
@@ -1000,7 +1000,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 727544,
+      "bytes": 832111,
       "hash_policy": "existence_and_size_only"
     },
     {

docs/data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:50:07+00:00",
+  "generated_at_utc": "2026-06-16T08:49:33+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 24,
   "figures": [
@@ -359,8 +359,8 @@
       "source_script": "scripts/build_unified_task_model_radar.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,
-      "bytes": 37499,
-      "sha256": "2fdcb43457b95b467fd83b9679217177d34572461649d6ed74a9831b6eb1e575",
+      "bytes": 37974,
+      "sha256": "75f037b5e2517a64e6bafb1f6bf92cf67d5144299c94ff5a7f3a900ca2cbf267",
       "dimensions": {
         "format": "SVG",
         "width": 1720,

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:57:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:02+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": "2026-06-16T07:56:47+00:00"
+          "generated_at_utc": "2026-06-16T08:01:18+00:00"
         }
       },
       "failures": {}

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:48+00:00",
+  "generated_at_utc": "2026-06-16T08:51:12+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -193,8 +193,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1112,
-      "text_file_count": 921,
+      "file_count": 1183,
+      "text_file_count": 988,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -204,8 +204,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 895,
-      "text_file_count": 743,
+      "file_count": 966,
+      "text_file_count": 810,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -215,8 +215,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 2081,
-      "text_file_count": 922,
+      "file_count": 2152,
+      "text_file_count": 989,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -226,8 +226,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 2510,
-      "text_file_count": 1080,
+      "file_count": 2581,
+      "text_file_count": 1147,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:50:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:01+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:11+00:00",
+  "generated_at_utc": "2026-06-16T08:50:31+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:02+00:00",
+  "generated_at_utc": "2026-06-16T08:50:24+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T07:54:01+00:00",
+  "generated_at_utc": "2026-06-16T08:50:24+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": "2026-06-16T07:51:12+00:00",
+  "generated_at_utc": "2026-06-16T08:49:30+00:00",
   "task_count": 20,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
@@ -9,7 +9,7 @@
     "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",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
     "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
-    "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features and are plotted only on task axes supported by the exported feature blocks."
+    "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."
   },
   "series": [
     {
@@ -61,22 +61,22 @@
       "label": "128ep Raw Simple",
       "short_label": "128-RS",
       "color": "#f59e0b",
-      "kind": "partial_128_episode_raw_feature_baseline",
-      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
       "stroke_dasharray": "8 4",
-      "covered_task_count": 18,
-      "coverage_fraction": 0.9
+      "covered_task_count": 20,
+      "coverage_fraction": 1.0
     },
     {
       "id": "raw128_neural_mlp",
       "label": "128ep Raw NN",
       "short_label": "128-RN",
       "color": "#22d3ee",
-      "kind": "partial_128_episode_raw_feature_baseline",
-      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "kind": "complete_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
       "stroke_dasharray": "2 5",
-      "covered_task_count": 18,
-      "coverage_fraction": 0.9
+      "covered_task_count": 20,
+      "coverage_fraction": 1.0
     },
     {
       "id": "qwen3_omni_v6_lora",
@@ -182,7 +182,7 @@
         "raw128_simple": {
           "raw": 0.002915061325704321,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.002915061325704321,
           "raw_text": "0.0029"
@@ -190,7 +190,7 @@
         "raw128_neural_mlp": {
           "raw": 0.0014955083181204041,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0014955083181204041,
           "raw_text": "0.0015"
@@ -258,7 +258,7 @@
         "raw128_simple": {
           "raw": 0.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_subtask/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_subtask/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0,
           "raw_text": "0.0000"
@@ -266,7 +266,7 @@
         "raw128_neural_mlp": {
           "raw": 7.35632183908046e-05,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_subtask/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_subtask/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 7.35632183908046e-05,
           "raw_text": "0.0001"
@@ -342,7 +342,7 @@
         "raw128_simple": {
           "raw": 0.4203613574238283,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/transition_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/transition_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.4203613574238283,
           "raw_text": "0.4204"
@@ -350,7 +350,7 @@
         "raw128_neural_mlp": {
           "raw": 0.4902206914147213,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/transition_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/transition_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.4902206914147213,
           "raw_text": "0.4902"
@@ -426,7 +426,7 @@
         "raw128_simple": {
           "raw": 0.003285273363482094,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.003285273363482094,
           "raw_text": "0.0033"
@@ -434,7 +434,7 @@
         "raw128_neural_mlp": {
           "raw": 0.0018477984371755407,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0018477984371755407,
           "raw_text": "0.0018"
@@ -470,7 +470,7 @@
         "raw128_simple": {
           "raw": 0.2729249894618988,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/hand_trajectory_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/hand_trajectory_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.39516420515180267,
           "raw_text": "0.2729"
@@ -478,7 +478,7 @@
         "raw128_neural_mlp": {
           "raw": 0.18475216627120972,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.5837560051580399,
           "raw_text": "0.1848"
@@ -554,7 +554,7 @@
         "raw128_simple": {
           "raw": 0.886990707397193,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/contact_prediction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/contact_prediction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.886990707397193,
           "raw_text": "0.8870"
@@ -562,7 +562,7 @@
         "raw128_neural_mlp": {
           "raw": 1.0,
           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/contact_prediction/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/contact_prediction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 1.0,
           "raw_text": "1.000"
@@ -630,7 +630,7 @@
         "raw128_simple": {
           "raw": 0.0655376369662084,
           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/object_relevance/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_relevance/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.0655376369662084,
           "raw_text": "0.0655"
@@ -638,7 +638,7 @@
         "raw128_neural_mlp": {
           "raw": 0.1765890386972509,
           "metric_key": "micro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/object_relevance/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_relevance/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1765890386972509,
           "raw_text": "0.1766"
@@ -680,17 +680,17 @@
           "raw_text": "0.0023"
         },
         "raw128_simple": {
-          "raw": 0.011150892823934555,
+          "raw": 0.011138836853206158,
           "metric_key": "mrr",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/caption_grounding/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/caption_grounding/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
-          "normalized_score": 0.011150892823934555,
-          "raw_text": "0.0112"
+          "normalized_score": 0.011138836853206158,
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/caption_grounding/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/caption_grounding/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -734,7 +734,7 @@
         "raw128_simple": {
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/cross_modal_retrieval/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/cross_modal_retrieval/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -742,7 +742,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.002535284962505102,
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@@ -778,7 +778,7 @@
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           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -786,7 +786,7 @@
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/modality_reconstruction/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -830,7 +830,7 @@
         "raw128_simple": {
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           "metric_key": "macro_f1",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/temporal_order/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/temporal_order/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -838,7 +838,7 @@
         "raw128_neural_mlp": {
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/temporal_order/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/temporal_order/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -874,7 +874,7 @@
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           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -882,7 +882,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/misalignment_detection/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/misalignment_detection/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -918,7 +918,7 @@
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/long_horizon_next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -926,7 +926,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/long_horizon_next_action/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/long_horizon_next_action/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -962,7 +962,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/next_subtask_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_subtask_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -970,7 +970,7 @@
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           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -1002,6 +1002,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.0381"
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -1034,7 +1050,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/action_object_relation/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/action_object_relation/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -1042,7 +1058,7 @@
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/action_object_relation/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -1078,7 +1094,7 @@
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-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/object_set_forecast/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_set_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -1086,7 +1102,7 @@
         "raw128_neural_mlp": {
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_set_forecast/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.17523098630012288,
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@@ -1122,7 +1138,7 @@
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           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/imu_to_hand_pose/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/imu_to_hand_pose/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1832902066792771,
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@@ -1130,7 +1146,7 @@
         "raw128_neural_mlp": {
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           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.1662042369509182,
           "raw_text": "0.2530"
@@ -1162,6 +1178,22 @@
           "scope": "single_episode_public_sample",
           "normalized_score": 0.24086658656597137,
           "raw_text": "0.2409"
+        },
+        "raw128_simple": {
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+          "metric_key": "mrr",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0026625150348991156,
+          "raw_text": "0.0027"
+        },
+        "raw128_neural_mlp": {
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+          "metric_key": "mrr",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0025448438245803118,
+          "raw_text": "0.0025"
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@@ -1192,17 +1224,17 @@
           "raw_text": "10.55"
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         "raw128_simple": {
-          "raw": 52.32759094238281,
+          "raw": 52.32759475708008,
           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/time_to_transition/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/time_to_transition/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
-          "normalized_score": 0.20137285487211684,
+          "normalized_score": 0.20137284019197565,
           "raw_text": "52.33"
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         "raw128_neural_mlp": {
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           "metric_key": "mae",
-          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/time_to_transition/metrics.json",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/time_to_transition/metrics.json",
           "scope": "multi_episode_128_raw_sensor_feature_baseline",
           "normalized_score": 0.24867468405504953,
           "raw_text": "42.37"
@@ -1230,18 +1262,18 @@
     {
       "id": "raw128_simple",
       "title": "128ep Raw Simple",
-      "status": "a100_raw20_pass_with_documented_gaps",
-      "coverage": "18/20 raw-feature-supported axes",
-      "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor feature blocks",
-      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+      "status": "a100_raw20_complete_with_documented_proxies",
+      "coverage": "20/20 axes; 18 direct + 2 proxy",
+      "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor blocks",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },
     {
       "id": "raw128_neural_mlp",
       "title": "128ep Raw NN",
-      "status": "a100_raw20_pass_with_documented_gaps",
-      "coverage": "18/20 raw-feature-supported axes",
-      "headline": "MLP heads ran on staged feature shards; raw interaction text and paired camera-view features are absent",
-      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+      "status": "a100_raw20_complete_with_documented_proxies",
+      "coverage": "20/20 axes; 18 direct + 2 proxy",
+      "headline": "MLP heads over staged features; tasks 15/19 use compact proxies",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },
     {
       "id": "qwen3_omni_v6_lora",

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
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+  "generated_at_utc": "2026-06-16T08:50:28+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
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@@ -336,12 +336,12 @@
     },
     {
       "path": "data/live_publication_status.json",
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@@ -491,7 +491,7 @@
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@@ -587,7 +587,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 37507,
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       "format": "SVG",
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/input_report.json

@@ -0,0 +1,89 @@
+{
+  "load_report": {
+    "resolved_npz_files": 357,
+    "loaded_feature_rows": 34269,
+    "input_rows": 34269,
+    "dropped_rows": 0,
+    "missing_path_examples": [],
+    "feature_dim": 4430
+  },
+  "split_counts": {
+    "train": 25629,
+    "val": 4608,
+    "test": 4032
+  },
+  "feature_manifest": [
+    {
+      "name": "hand_left_joints",
+      "start": 0,
+      "end": 441,
+      "dim": 441
+    },
+    {
+      "name": "hand_right_joints",
+      "start": 441,
+      "end": 882,
+      "dim": 441
+    },
+    {
+      "name": "body_joints",
+      "start": 882,
+      "end": 1974,
+      "dim": 1092
+    },
+    {
+      "name": "body_contacts",
+      "start": 1974,
+      "end": 2121,
+      "dim": 147
+    },
+    {
+      "name": "camera_translation",
+      "start": 2121,
+      "end": 2142,
+      "dim": 21
+    },
+    {
+      "name": "camera_rotation_matrix",
+      "start": 2142,
+      "end": 2205,
+      "dim": 63
+    },
+    {
+      "name": "imu_accel_gyro",
+      "start": 2205,
+      "end": 2247,
+      "dim": 42
+    },
+    {
+      "name": "depth_confidence",
+      "start": 2247,
+      "end": 3227,
+      "dim": 980
+    },
+    {
+      "name": "audio_fisheye_cam0_aac",
+      "start": 3227,
+      "end": 3395,
+      "dim": 168
+    },
+    {
+      "name": "caption_objects_interaction_text",
+      "start": 3395,
+      "end": 4291,
+      "dim": 896
+    },
+    {
+      "name": "slam_point_cloud",
+      "start": 4291,
+      "end": 4313,
+      "dim": 22
+    },
+    {
+      "name": "calibration",
+      "start": 4313,
+      "end": 4430,
+      "dim": 117
+    }
+  ]
+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/logs/gpu0_tasks01_05.log

@@ -0,0 +1,9 @@
+[raw20] loading rows from /mnt/kgc/chaoyue/ropedia-h20-side/ropedia-episode-task-suite/results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running timeline_action
+[raw20] running timeline_subtask
+[raw20] running transition_detection
+[raw20] running next_action
+[raw20] running hand_trajectory_forecast
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/logs/gpu1_tasks06_10.log

@@ -0,0 +1,9 @@
+[raw20] loading rows from /mnt/kgc/chaoyue/ropedia-h20-side/ropedia-episode-task-suite/results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running contact_prediction
+[raw20] running object_relevance
+[raw20] running caption_grounding
+[raw20] running cross_modal_retrieval
+[raw20] running modality_reconstruction
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/logs/gpu2_tasks11_15.log

@@ -0,0 +1,9 @@
+[raw20] loading rows from /mnt/kgc/chaoyue/ropedia-h20-side/ropedia-episode-task-suite/results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running temporal_order
+[raw20] running misalignment_detection
+[raw20] running long_horizon_next_action
+[raw20] running next_subtask_forecast
+[raw20] running interaction_text_prediction
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/logs/gpu3_tasks16_20.log

@@ -0,0 +1,9 @@
+[raw20] loading rows from /mnt/kgc/chaoyue/ropedia-h20-side/ropedia-episode-task-suite/results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running action_object_relation
+[raw20] running object_set_forecast
+[raw20] running imu_to_hand_pose
+[raw20] running camera_view_sync_retrieval
+[raw20] running time_to_transition
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/metrics_summary.csv

@@ -0,0 +1,11 @@
+task,task_display_name,model_family,status,primary_metric,primary_score,metric_direction,reason,error
+contact_prediction,Contact State Prediction,simple_raw128_centroid,pass,macro_f1,0.886990707397193,higher,,
+contact_prediction,Contact State Prediction,neural_mlp_raw128,pass,macro_f1,1.0,higher,,
+object_relevance,Object Relevance Prediction,simple_raw128_ridge_multilabel,pass,micro_f1,0.0655376369662084,higher,,
+object_relevance,Object Relevance Prediction,neural_mlp_raw128_multilabel,pass,micro_f1,0.1765890386972509,higher,,
+caption_grounding,Language Grounding,simple_raw128_ridge,pass,mrr,0.011138836853206158,higher,,
+caption_grounding,Language Grounding,neural_mlp_raw128,pass,mrr,0.0063402121886610985,higher,,
+cross_modal_retrieval,Cross-Modal Retrieval,simple_raw128_ridge,pass,mrr,0.003459817497059703,higher,,
+cross_modal_retrieval,Cross-Modal Retrieval,neural_mlp_raw128,pass,mrr,0.002535284962505102,higher,,
+modality_reconstruction,Cross-Modal Reconstruction,simple_raw128_ridge,pass,r2,-1.3450960391924882,higher,,
+modality_reconstruction,Cross-Modal Reconstruction,neural_mlp_raw128,pass,r2,-1.3974418160502369,higher,,

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/metrics_summary_all.csv

@@ -0,0 +1,41 @@
+task,task_display_name,model_family,status,primary_metric,primary_score,metric_direction,proxy_completion,proxy_target,reason,error,source_metrics_path
+action_object_relation,Action Object Relation,simple_raw128_centroid,pass,macro_f1,0.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/action_object_relation/metrics.json
+camera_view_sync_retrieval,Camera View Sync Retrieval,simple_raw128_ridge,pass,mrr,0.0026625150348991156,higher,True,same_window_depth_confidence_plus_audio_fisheye_cam0_aac,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json
+caption_grounding,Language Grounding,simple_raw128_ridge,pass,mrr,0.011138836853206158,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/caption_grounding/metrics.json
+contact_prediction,Contact State Prediction,simple_raw128_centroid,pass,macro_f1,0.886990707397193,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/contact_prediction/metrics.json
+cross_modal_retrieval,Cross-Modal Retrieval,simple_raw128_ridge,pass,mrr,0.003459817497059703,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/cross_modal_retrieval/metrics.json
+hand_trajectory_forecast,Hand Trajectory Forecasting,simple_raw128_ridge,pass,mae,0.2729249894618988,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/hand_trajectory_forecast/metrics.json
+imu_to_hand_pose,Imu To Hand Pose,simple_raw128_ridge,pass,mae,0.22941437363624573,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/imu_to_hand_pose/metrics.json
+interaction_text_prediction,Interaction Text Prediction,simple_raw128_centroid,pass,macro_f1,0.012611998261547169,higher,True,dominant_caption_objects_interaction_text_hash_bin,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json
+long_horizon_next_action,Long Horizon Next Action,simple_raw128_centroid,pass,macro_f1,0.0024280172369056294,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/long_horizon_next_action/metrics.json
+misalignment_detection,Multimodal Synchronization Detection,simple_raw128_centroid,pass,macro_f1,0.4958867673901769,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/misalignment_detection/metrics.json
+modality_reconstruction,Cross-Modal Reconstruction,simple_raw128_ridge,pass,r2,-1.3450960391924882,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/modality_reconstruction/metrics.json
+next_action,Next-Action Prediction,simple_raw128_centroid,pass,macro_f1,0.003285273363482094,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_action/metrics.json
+next_subtask_forecast,Next Subtask Forecast,simple_raw128_centroid,pass,macro_f1,0.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/next_subtask_forecast/metrics.json
+object_relevance,Object Relevance Prediction,simple_raw128_ridge_multilabel,pass,micro_f1,0.0655376369662084,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_relevance/metrics.json
+object_set_forecast,Object Set Forecast,simple_raw128_ridge_multilabel,pass,micro_f1,0.06469493412657774,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/object_set_forecast/metrics.json
+temporal_order,Temporal Order Verification,simple_raw128_centroid,pass,macro_f1,0.49824413370686593,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/temporal_order/metrics.json
+time_to_transition,Time To Transition,simple_raw128_ridge,pass,mae,52.32759475708008,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/time_to_transition/metrics.json
+timeline_action,Action Recognition,simple_raw128_centroid,pass,macro_f1,0.002915061325704321,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_action/metrics.json
+timeline_subtask,Procedure Step Recognition,simple_raw128_centroid,pass,macro_f1,0.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/timeline_subtask/metrics.json
+transition_detection,Action Boundary Detection,simple_raw128_centroid,pass,macro_f1,0.4203613574238283,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/transition_detection/metrics.json
+action_object_relation,Action Object Relation,neural_mlp_raw128,pass,macro_f1,0.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/action_object_relation/metrics.json
+camera_view_sync_retrieval,Camera View Sync Retrieval,neural_mlp_raw128,pass,mrr,0.0025448438245803118,higher,True,same_window_depth_confidence_plus_audio_fisheye_cam0_aac,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json
+caption_grounding,Language Grounding,neural_mlp_raw128,pass,mrr,0.0063402121886610985,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/caption_grounding/metrics.json
+contact_prediction,Contact State Prediction,neural_mlp_raw128,pass,macro_f1,1.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/contact_prediction/metrics.json
+cross_modal_retrieval,Cross-Modal Retrieval,neural_mlp_raw128,pass,mrr,0.002535284962505102,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json
+hand_trajectory_forecast,Hand Trajectory Forecasting,neural_mlp_raw128,pass,mae,0.18475216627120972,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json
+imu_to_hand_pose,Imu To Hand Pose,neural_mlp_raw128,pass,mae,0.252998411655426,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json
+interaction_text_prediction,Interaction Text Prediction,neural_mlp_raw128,pass,macro_f1,0.009791421280985521,higher,True,dominant_caption_objects_interaction_text_hash_bin,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json
+long_horizon_next_action,Long Horizon Next Action,neural_mlp_raw128,pass,macro_f1,0.001063859887389299,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/long_horizon_next_action/metrics.json
+misalignment_detection,Multimodal Synchronization Detection,neural_mlp_raw128,pass,macro_f1,0.8272709077974252,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/misalignment_detection/metrics.json
+modality_reconstruction,Cross-Modal Reconstruction,neural_mlp_raw128,pass,r2,-1.3974418160502369,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/modality_reconstruction/metrics.json
+next_action,Next-Action Prediction,neural_mlp_raw128,pass,macro_f1,0.0018477984371755407,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_action/metrics.json
+next_subtask_forecast,Next Subtask Forecast,neural_mlp_raw128,pass,macro_f1,0.0,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_subtask_forecast/metrics.json
+object_relevance,Object Relevance Prediction,neural_mlp_raw128_multilabel,pass,micro_f1,0.1765890386972509,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_relevance/metrics.json
+object_set_forecast,Object Set Forecast,neural_mlp_raw128_multilabel,pass,micro_f1,0.17523098630012288,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/object_set_forecast/metrics.json
+temporal_order,Temporal Order Verification,neural_mlp_raw128,pass,macro_f1,0.8030047098504103,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/temporal_order/metrics.json
+time_to_transition,Time To Transition,neural_mlp_raw128,pass,mae,42.374061584472656,lower,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/time_to_transition/metrics.json
+timeline_action,Action Recognition,neural_mlp_raw128,pass,macro_f1,0.0014955083181204041,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_action/metrics.json
+timeline_subtask,Procedure Step Recognition,neural_mlp_raw128,pass,macro_f1,7.35632183908046e-05,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/timeline_subtask/metrics.json
+transition_detection,Action Boundary Detection,neural_mlp_raw128,pass,macro_f1,0.4902206914147213,higher,False,,,,results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/transition_detection/metrics.json

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/action_object_relation/metrics.json

@@ -0,0 +1,62 @@
+{
+  "task": "action_object_relation",
+  "task_display_name": "Action Object Relation",
+  "task_family": "classification",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "sensor features excluding hashed caption text",
+  "primary_metric": "macro_f1",
+  "metric_direction": "higher",
+  "status": "pass",
+  "device": "cuda",
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 7.840090205664913,
+      "train_accuracy": 0.02232423101067169
+    },
+    {
+      "epoch": 5,
+      "loss": 1.9252043012845315,
+      "train_accuracy": 0.4901129943502825
+    },
+    {
+      "epoch": 10,
+      "loss": 0.8283010613446855,
+      "train_accuracy": 0.6963669177652229
+    },
+    {
+      "epoch": 15,
+      "loss": 0.5116730567724991,
+      "train_accuracy": 0.7887633396107973
+    },
+    {
+      "epoch": 20,
+      "loss": 0.37476183882840236,
+      "train_accuracy": 0.8343926553672316
+    },
+    {
+      "epoch": 25,
+      "loss": 0.2903947299819882,
+      "train_accuracy": 0.8655053358443189
+    }
+  ],
+  "num_train_windows": 25488,
+  "num_test_windows": 4014,
+  "num_classes": 4149,
+  "num_train_classes": 3058,
+  "input_dim": 3534,
+  "fit_input_dim": 2048,
+  "selected_column_count": 2048,
+  "splits": {
+    "test": {
+      "accuracy": 0.0,
+      "balanced_accuracy": 0.0,
+      "macro_f1": 0.0,
+      "weighted_f1": 0.0,
+      "num_eval_windows": 4014,
+      "num_classes": 4149
+    }
+  },
+  "primary_score": 0.0
+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json

@@ -0,0 +1,55 @@
+{
+  "task": "camera_view_sync_retrieval",
+  "task_display_name": "Camera View Sync Retrieval",
+  "task_family": "retrieval",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "compact proxy: camera-pose block retrieves synchronized same-window depth/audio stream",
+  "primary_metric": "mrr",
+  "metric_direction": "higher",
+  "status": "pass",
+  "device": "cuda",
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.7488278723510997
+    },
+    {
+      "epoch": 5,
+      "loss": 0.6378488078282586
+    },
+    {
+      "epoch": 10,
+      "loss": 0.6051568402730139
+    },
+    {
+      "epoch": 15,
+      "loss": 0.5886557186578745
+    },
+    {
+      "epoch": 20,
+      "loss": 0.5766355456854356
+    },
+    {
+      "epoch": 25,
+      "loss": 0.5663257058869895
+    }
+  ],
+  "num_train_windows": 25629,
+  "num_test_windows": 4032,
+  "input_dim": 84,
+  "fit_input_dim": 84,
+  "target_dim": 1148,
+  "splits": {
+    "test": {
+      "mrr": 0.0025448438245803118,
+      "top1": 0.000744047619047619,
+      "median_rank": 2037.5,
+      "num_queries": 4032
+    }
+  },
+  "primary_score": 0.0025448438245803118,
+  "proxy_completion": true,
+  "proxy_reason": "paired video-view embeddings are absent from the 128 NPZ export; camera pose and same-window depth/audio are used as a documented compact synchronization proxy",
+  "proxy_target": "same_window_depth_confidence_plus_audio_fisheye_cam0_aac"
+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/caption_grounding/metrics.json

@@ -0,0 +1,52 @@
+{
+  "task": "caption_grounding",
+  "task_display_name": "Language Grounding",
+  "task_family": "retrieval",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "non-caption sensor blocks projected to hashed caption/object/interaction block",
+  "primary_metric": "mrr",
+  "metric_direction": "higher",
+  "status": "pass",
+  "device": "cuda",
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.9730807784066104
+    },
+    {
+      "epoch": 5,
+      "loss": 0.8797651895419402
+    },
+    {
+      "epoch": 10,
+      "loss": 0.8487889279395084
+    },
+    {
+      "epoch": 15,
+      "loss": 0.8318103914064764
+    },
+    {
+      "epoch": 20,
+      "loss": 0.821267495579444
+    },
+    {
+      "epoch": 25,
+      "loss": 0.8125992868655396
+    }
+  ],
+  "num_train_windows": 25629,
+  "num_test_windows": 4032,
+  "input_dim": 3534,
+  "fit_input_dim": 2048,
+  "target_dim": 896,
+  "splits": {
+    "test": {
+      "mrr": 0.0063402121886610985,
+      "top1": 0.002232142857142857,
+      "median_rank": 1392.0,
+      "num_queries": 4032
+    }
+  },
+  "primary_score": 0.0063402121886610985
+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/contact_prediction/metrics.json

@@ -0,0 +1,62 @@
+{
+  "task": "contact_prediction",
+  "task_display_name": "Contact State Prediction",
+  "task_family": "classification",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "sensor features excluding hashed caption text",
+  "primary_metric": "macro_f1",
+  "metric_direction": "higher",
+  "status": "pass",
+  "device": "cuda",
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.02249114251404696,
+      "train_accuracy": 0.9850950095594834
+    },
+    {
+      "epoch": 5,
+      "loss": 3.892005114592888e-06,
+      "train_accuracy": 1.0
+    },
+    {
+      "epoch": 10,
+      "loss": 1.6485579969316457e-06,
+      "train_accuracy": 1.0
+    },
+    {
+      "epoch": 15,
+      "loss": 7.494956065371638e-07,
+      "train_accuracy": 1.0
+    },
+    {
+      "epoch": 20,
+      "loss": 3.961833819914944e-07,
+      "train_accuracy": 1.0
+    },
+    {
+      "epoch": 25,
+      "loss": 3.9328009280915035e-07,
+      "train_accuracy": 1.0
+    }
+  ],
+  "num_train_windows": 25629,
+  "num_test_windows": 4032,
+  "num_classes": 2,
+  "num_train_classes": 2,
+  "input_dim": 3534,
+  "fit_input_dim": 2048,
+  "selected_column_count": 2048,
+  "splits": {
+    "test": {
+      "accuracy": 1.0,
+      "balanced_accuracy": 1.0,
+      "macro_f1": 1.0,
+      "weighted_f1": 1.0,
+      "num_eval_windows": 4032,
+      "num_classes": 2
+    }
+  },
+  "primary_score": 1.0
+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json

@@ -0,0 +1,52 @@
+{
+  "task": "cross_modal_retrieval",
+  "task_display_name": "Cross-Modal Retrieval",
+  "task_family": "retrieval",
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json

@@ -0,0 +1,52 @@
+{
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json

@@ -0,0 +1,52 @@
+{
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json

@@ -0,0 +1,65 @@
+{
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+}

results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/long_horizon_next_action/metrics.json

@@ -0,0 +1,62 @@
+{
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/misalignment_detection/metrics.json

@@ -0,0 +1,62 @@
+{
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/modality_reconstruction/metrics.json

@@ -0,0 +1,52 @@
+{
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results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/next_action/metrics.json

@@ -0,0 +1,62 @@
+{
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