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PROJECT_BRIEF.md

@@ -1,18 +1,18 @@
 # Project Brief
 
-This project turns the public Ropedia Xperience-10M sample into a concrete
-research task lab for embodied AI. It is designed to answer a practical
-question: what can be built, measured, and extended from a richly synchronized
-egocentric episode before scaling to held-out multi-episode training?
+This project presents Ropedia Xperience-10M through two public evidence lines.
+Line 1 turns one public sample episode into a concrete 20-task embodied-AI
+task lab. Line 2 compares selected 128-episode public-safe artifacts across
+aligned baselines, Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano.
 
 ## Research Intent
 
-The public sample is treated as a small but real research system. The project
-does not try to inflate one episode into a final benchmark. Instead, it shows
-the full path from data inspection to task design, baseline modeling,
-evaluation, artifact packaging, and a guarded scale-up plan. A reader should be
-able to trace one model input, understand each task, reproduce the public-sample
-results, and see what remains before multi-episode model-quality claims.
+The public sample is treated as a small but real research system, while the
+selected-128 line shows the first same-split scale-up comparison. The project
+does not blend those two evidence types. A reader should be able to trace one
+model input, understand each task, reproduce the public-sample results, compare
+the 128-episode method rows, and see what remains before stronger
+model-quality claims.
 
 ## Capability Map
 
@@ -21,23 +21,25 @@ results, and see what remains before multi-episode model-quality claims.
 | Data understanding | `feature_manifest.json`, `available_modalities.json`, modality atlas, episode-window HF viewer |
 | Task design | 20 unified task contracts, task cards, case-study walkthroughs, and four research-direction extension probes |
 | Evaluation rigor | chronological split, per-task metrics, predictions, confusion matrices, leakage notes, and generated takeaways |
-| Scale-up planning | Final verified 96/16/16 Qwen3-Omni diagnostic result, same-split 128-episode baseline alignment, Cosmos3-Nano compatibility branch, and policy-model candidates after action-space conversion |
+| Scale-up planning | Final verified 96/16/16 Qwen3-Omni v6 diagnostic row, same-split 128-episode baseline alignment, Cosmos3-Nano compatibility diagnostics, Cosmos3-Super diagnostics, and policy-model candidates after action-space conversion |
 
 ## What Exists Now
 
-| Layer | Current artifact |
+| Evidence view | Current artifact |
 | --- | --- |
-| Data unit | 1 public sample episode, 5,821 frames, 1,161 synchronized 20-frame windows |
+| Line 1 data unit | 1 public sample episode, 5,821 frames, 1,161 synchronized 20-frame windows |
+| Line 2 data unit | Selected 96/16/16 split over 128 source episodes, 34,269 Qwen3-Omni v6 multiscale windows, and public-safe processed features linked to official gated episode paths |
 | Modalities | Video-derived features, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived features |
 | Task suite | 20 embodied-AI task contracts with inputs, targets, metrics, predictions, and setup alignment |
-| Models | Minimal linear/ridge/logistic baselines plus compact PyTorch MLP heads for the unified 20-task public-sample suite |
+| Line 1 models | Minimal linear/ridge/logistic baselines plus compact PyTorch MLP heads for the unified 20-task public-sample suite |
+| Line 2 methods | Metadata simple/NN, raw-feature simple/NN, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window; 140/140 selected-128 scores, including 6 marked compact-proxy cells |
 | Research map | Four Ropedia research directions with direct, proxy, diagnostic, and extension-task coverage |
-| Scale-up path | A selected 96/16/16 Qwen3-Omni LoRA final diagnostic result is verified; strict-JSON validity meets target, while weak action/subtask metrics guide the next error-analysis pass |
+| Qwen3 lineage | Qwen3-Omni v1-v6 are run versions inside Line 2: v1-v4 are pipeline-hardening/ablation evidence, v5 is the pinned prior multiscale release, and v6 is the current 20-task Qwen3-Omni row |
 
 ## How To Read It
 
 1. Start with `PUBLIC_READER_MAP.md` if you need to choose between GitHub,
-   the website, Hugging Face artifacts, baseline weights, model branches, or
+   the website, Hugging Face artifacts, baseline weights, model-result repos, or
    release-health files.
 2. Start with the website or this brief to understand the project shape.
 3. Open `RESEARCH_ROADMAP.md` to see how the work scales from the public
@@ -46,17 +48,17 @@ results, and see what remains before multi-episode model-quality claims.
 5. Use `RESEARCH_TAKEAWAYS.md` for the current metric interpretation.
 6. Inspect `results/episode_task_suite/feature_manifest.json` to understand one model input.
 7. Use `TASK_SUITE_20.md` and `docs/data/task_suite_20.json` to read the unified 20-task suite; the historical `docs/data/tier2_task_suite.json` path stores the tasks 13-20 result bundle.
-8. Use `docs/data/omni_finetune_verified_result.json` for the current multi-episode Qwen3-Omni pilot result.
+8. Use `QWEN3_OMNI_RUN_LINEAGE.md` and `docs/data/qwen3_omni_run_lineage.json` to read v1-v6 correctly.
+9. Use `docs/data/omni_finetune_verified_result.json` for the current multi-episode Qwen3-Omni v6 result.
 
 ## What This Enables
 
-The public sample is enough to build and verify task definitions, feature
-contracts, metrics, visualization, and baseline code. It is not enough to
-measure final model quality for a general embodied-AI model. The first
-multi-episode Qwen3-Omni diagnostic pilot now verifies the held-out training
-loop with validation loss recorded; the next research stage is to improve
-JSON-format reliability and error analysis before larger robustness or
-alternative backbone claims.
+Line 1 is enough to build and verify task definitions, feature contracts,
+metrics, visualization, and baseline code. It is not enough to measure final
+general embodied-AI model quality. Line 2 verifies the selected-128 held-out
+comparison surface and the Qwen3-Omni v6 diagnostic row; the next research
+stage is action/subtask error analysis, stronger structured-output training,
+and policy-target conversion before larger backbone claims.
 
 ## Best Entry Points
 

PROJECT_README.md

@@ -35,11 +35,11 @@
 </p>
 
 
-**Ropedia Xperience-10M Task Suite** is organized as two public result lines, not one blended benchmark. The 1-sample line is a fully inspectable task lab. The selected-128 line is the comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Every score points back to a source artifact and keeps direct-vs-proxy status visible.
+**Ropedia Xperience-10M Task Suite** has two public evidence lines. **Line 1** is the 1-sample task lab for raw-file inspection, task construction, and reproducibility. **Line 2** is the selected-128 comparison surface for aligned metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. Every score points to a source artifact and keeps direct-vs-proxy status visible.
 
 **Updated:** 2026-06-21.
 
-**Scope:** one public sample episode for raw-file inspection and reproducible task construction; selected 128-episode public-safe artifacts for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. Raw Xperience-10M MP4/HDF5/RRD files, Qwen3 base weights, Cosmos3 base weights, and gated data are not redistributed here.
+**Scope:** Line 1 uses one public sample episode. Line 2 uses selected 128-episode public-safe artifacts linked back to official gated episode paths. Raw Xperience-10M MP4/HDF5/RRD files, Qwen3 base weights, Cosmos3 base weights, and gated data are not redistributed here.
 
 ## Contents
 
@@ -59,6 +59,8 @@
 
 Use the two evidence lines first, then choose the artifact that answers your question. The dashboard is the best visual overview; the GitHub repo is the source of truth for scripts and generated JSON; Hugging Face mirrors contain public-safe cards, metrics, figures, and model artifacts.
 
+Quick rule: use **Line 1** for “can I inspect and reproduce the task?” Use **Line 2** for “how do aligned baselines and model diagnostics compare on the selected 128 episodes?”
+
 The multilingual README files are reader guides. The canonical technical evidence is still the committed task contracts, result matrices, validation JSON, and public-safe result packages.
 
 ## At A Glance
@@ -72,8 +74,8 @@ The multilingual README files are reader guides. The canonical technical evidenc
   </thead>
   <tbody>
     <tr>
-      <td><strong>Two result lines</strong></td>
-      <td><strong>1 sample episode</strong> for task construction and reproducibility. <strong>128 selected episodes</strong> for same-split metadata/raw baselines plus Qwen3-Omni v6 and Cosmos3 diagnostics.</td>
+      <td><strong>Two-line contract</strong></td>
+      <td><strong>Line 1: 1 sample episode</strong> for task construction and reproducibility. <strong>Line 2: 128 selected episodes</strong> for same-split metadata/raw baselines, Qwen3-Omni v6, and Cosmos3 diagnostics.</td>
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
@@ -104,7 +106,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
 
 ## Two Evidence Lines
 
-The public suite is organized around two result lines. Keep them separate when reading metrics.
+The public suite is organized around two evidence lines. Keep them separate when reading metrics.
 
 <p align="center">
   <img src="docs/assets/charts/two_evidence_line_map.svg" alt="Two evidence-line map: 1 sample episode and 128 selected episodes combine into 180 scored method-task records" width="100%">
@@ -645,10 +647,12 @@ robotics, spatial intelligence, and world modeling. The public
 [`ropedia-ai/xperience-10m-sample`](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample)
 repo provides the sample episode used for the implemented task suite here.
 
-This project keeps those layers separate: the public sample supports the
-current 20-task study, while the gated full dataset is used only for the
-selected multi-episode Qwen3-Omni pilot. Raw Xperience-10M MP4/HDF5/RRD files
-are not redistributed in this repo or in the Hugging Face mirrors.
+This project keeps two evidence lines separate. Line 1 uses the public sample
+for raw-file inspection, task construction, and local reproducibility. Line 2
+uses selected 128-episode public-safe artifacts for same-split method
+comparison, Qwen3-Omni v6 diagnostics, and Cosmos3 diagnostics. Raw
+Xperience-10M MP4/HDF5/RRD files are not redistributed in this repo or in the
+Hugging Face mirrors.
 
 The current verified public-sample subset is:
 
@@ -663,9 +667,9 @@ Detailed dataset notes are available in
 [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md)
 and [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json)
 for readers who need the full upstream-card and access-term context. The
-practical boundary is simple: current task-suite results come from the public
-sample, and the first multi-episode Qwen3-Omni diagnostic pilot is verified but
-not yet strong model quality.
+practical boundary is simple: task-lab claims come from Line 1, selected-128
+comparison claims come from Line 2, and compact-proxy cells stay explicitly
+marked where direct raw targets are missing.
 
 Start with the visual dashboard:
 
@@ -675,12 +679,12 @@ Hugging Face Space app:
 
 **[cy0307-ropedia-xperience-10m-task-suite.hf.space](https://cy0307-ropedia-xperience-10m-task-suite.hf.space/)**
 
-## Read This Project In Three Layers
+## Read This Project By Evidence View
 
 <table>
   <thead>
     <tr>
-      <th width="24%">Layer</th>
+      <th width="24%">View</th>
       <th width="34%">What to inspect</th>
       <th>Why it matters</th>
     </tr>
@@ -697,7 +701,7 @@ Hugging Face Space app:
     <tr><td><strong>Minimal heads</strong></td><td>softmax<br>ridge projection/regression<br>multi-label logistic heads</td><td>Keeps every input/output contract visible and inspectable.</td></tr>
     <tr><td><strong>Neural heads</strong></td><td>PyTorch MLP classifiers/regressors under <a href="results/episode_task_suite/neural_mlp/">neural_mlp/</a></td><td>Checks whether nonlinear heads improve each task without changing features.</td></tr>
     <tr><td><strong>Evidence</strong></td><td>metrics<br>predictions<br>confusion matrices<br>diagrams<br>dashboard</td><td>Makes the single-episode task development inspectable without rerunning first.</td></tr>
-    <tr><td><strong>Artifact guide</strong></td><td><a href="ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></td><td>Groups the public evidence into research-project layers after the first-pass overview.</td></tr>
+    <tr><td><strong>Artifact guide</strong></td><td><a href="ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></td><td>Groups the public evidence into reader-facing views after the first-pass overview.</td></tr>
     <tr><td><strong>Reproducibility contract</strong></td><td><a href="REPRODUCIBILITY.md">REPRODUCIBILITY.md</a><br><a href="docs/data/reproducibility_matrix.json">reproducibility_matrix.json</a></td><td>States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries.</td></tr>
     <tr><td><strong>Citation metadata</strong></td><td><a href="CITATION.cff">CITATION.cff</a><br><a href="codemeta.json">codemeta.json</a><br><a href="LICENSE">LICENSE</a></td><td>Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms.</td></tr>
   </tbody>
@@ -820,9 +824,10 @@ overlays exact labels, dimensions, and metrics from the committed result files.
 
 ## Scope
 
-This is a learning, inspection, and pipeline-validation repo built from one
-public sample episode. The next model-quality stage is to run the same suite
-over many episodes and split train/test by held-out episode.
+This is a learning, inspection, and pipeline-validation repo with two public
+evidence lines. Line 1 is built from one public sample episode. Line 2 uses a
+selected 96/16/16 split over 128 episode paths, public-safe processed features,
+and verified Qwen3-Omni/Cosmos3 diagnostic artifacts.
 
 ## What Is Inside
 
@@ -1068,14 +1073,17 @@ baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future W
 files also include `model_groups`: a model-first view that pairs 1-episode and
 128-episode entries for the same family. Use that section when comparing task
 heads against task heads, Qwen3-Omni smoke/LoRA against Qwen3-Omni LoRA, or
-Cosmos3-Nano compatibility against future Cosmos weight releases.
+Cosmos3-Nano compatibility against future Cosmos weight releases. For
+Qwen3-Omni specifically, read `QWEN3_OMNI_RUN_LINEAGE.md`: v1-v4 are
+pipeline-hardening and ablation evidence, v5 is the pinned prior multiscale
+release, and v6 is the current public 20-task Qwen row.
 
-The no-new-episode enhancement layer is recorded in
+The no-new-episode enhancement plan is recorded in
 [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json)
 and [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md). It keeps
 the current Qwen3-Omni v6 and Cosmos3 packages as baselines, then defines dense-window
 scenarios, hierarchical action/subtask targets, task bottlenecks, and experiment
-cards for a stronger 128-episode v5 run without overwriting earlier results.
+cards for stronger selected-128 runs without overwriting earlier results.
 
 ### Sample Count Decision
 

PROJECT_STATUS.md

@@ -2,21 +2,31 @@
 
 This is the fastest way to understand the current research project state.
 It summarizes what has already been implemented from the public
-Xperience-10M sample, what the first multi-episode Qwen3-Omni and Cosmos3
-diagnostic branches show, and which artifacts support the next development
-step.
+Xperience-10M sample, what the selected-128 Qwen3-Omni and Cosmos3
+diagnostic rows show, and which artifacts support the next development step.
 
 ## Research Positioning
 
 The project is a research-engineering study of Xperience-10M rather than a
 single demo result. It makes the public sample episode inspectable, defines
 embodied-AI tasks over synchronized modalities, records baseline behavior, and
-keeps the next multi-episode modeling stage explicit. The current evidence is
+keeps the selected-128 modeling stage explicit. The current evidence is
 useful for judging data understanding, task design, evaluation discipline, and
 scale-up readiness; it is not presented as final full-dataset model quality.
-The current no-new-episode enhancement layer records how to push the selected
+The current no-new-episode enhancement plan records how to push the selected
 128-episode setup harder before asking for more raw storage.
 
+## Two Evidence Lines
+
+| Evidence line | Data unit | Public result status | Correct reading |
+| --- | --- | --- | --- |
+| Line 1: 1 sample episode | One public sample episode: 5,821 frames and 1,161 aligned 20-frame windows | 2 methods x 20 tasks = 40/40 direct scores | Task construction, raw-sample inspection, reproducibility, and controlled single-episode baselines |
+| Line 2: 128 selected episodes | Selected 96/16/16 split over 128 official episode paths, with public-safe processed features | 7 methods x 20 tasks = 140/140 scores: 134 direct + 6 compact-proxy | Same-split metadata/raw baselines, Qwen3-Omni v6 diagnostics, Cosmos3 diagnostics, and scale-up planning |
+
+Qwen3-Omni v1-v6 are run versions inside Line 2, not six project evidence
+lines. v1-v4 are pipeline-hardening and ablation evidence, v5 is the pinned
+prior multiscale release, and v6 is the current public 20-task Qwen3-Omni row.
+
 | Area | Current state | Evidence | Research readout |
 | --- | --- | --- | --- |
 | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
@@ -25,12 +35,12 @@ The current no-new-episode enhancement layer records how to push the selected
 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across the original task contracts; audio improves the primary metric on 6 of those contracts, and a 588-d audio-window representation improves over the baseline audio variant on 6 of those contracts. |
 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
-| Research roadmap | Current | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | The roadmap connects public-sample task development to the final verified Qwen3-Omni diagnostic result, same-split baseline alignment, action/subtask error analysis, robustness runs, world/policy branches, and the future Xperience-native pretraining goal. |
-| 128-episode task-suite enhancement pack | Current no-new-episode plan | `TASK_SUITE_ENHANCEMENT_128.md`, `docs/data/task_suite_enhancement_128.json`, `results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json`, `scripts/omni/build_task_suite_enhancement_128.py` | The current 3,808-window selected split can be stressed without more episodes by exporting denser and multiscale windows. The recommended next export is `multiscale_20s10_40s20_80s40`, estimated at 106,095 windows from the observed frame spans; the pack also defines hierarchical action/subtask targets, raw-feature shard priorities for unsupported tasks, and Qwen/Cosmos follow-up run cards. |
-| Foundation-model plan | Current | `FOUNDATION_MODEL_PLAN.md`, `docs/data/foundation_model_plan.json` | Qwen3-Omni remains the first structured JSON LoRA baseline; Cosmos3-Nano is verified as a future-window compatibility branch; Cosmos3-Super is represented by a base-weight Reasoner evaluation and a fine-tuned Forward-Dynamics LoRA branch. The Super LoRA target is camera-pose-conditioned future vision velocity, not supervised JSON action-token prediction. OpenVLA/openpi/GR00T remain policy candidates after robot-compatible action targets are explicit. |
-| Cosmos3-Super action-target contract | Superseded by verified forward-dynamics LoRA | `scripts/omni/export_cosmos3_camera_pose_targets.py`, `scripts/omni/pack_cosmos3_super_action_batch.py`, `results/omni_finetune/xperience10m_cosmos3_camera_pose_targets_20260608/target_manifest.json`, `results/omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/training_contract_audit.json`, `results/omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/packer_summary.json` | The selected 128-episode JSONL is augmented with 3,808/3,808 valid `camera_pose` proxy `cosmos_action_target` records from SLAM pose deltas. The schema packer and contract audit are now supporting evidence for the trained forward-dynamics branch; they still do not supervise `preds_action`, so action-token prediction needs a separate policy or inverse-dynamics target export. |
-| Cosmos3-Super Forward-Dynamics LoRA | Verified fine-tuned adapter branch | `configs/omni_backbones/cosmos3_super_forward_dynamics.json`, `scripts/omni/train_cosmos3_super_forward_dynamics_lora.py`, `scripts/omni/eval_cosmos3_super_forward_dynamics_lora.py`, `results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/verified_result_summary.json`, `results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/package_audit.json` | The first fine-tuned Cosmos3-Super adapter branch is locally verified as a public-safe package: 26.2M LoRA parameters, 2,848 train rows, 512 validation rows, 448 held-out test rows, validation MSE 4.0082, and test MSE 3.6853. The package excludes adapter safetensors; weights are published separately at `cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep`. |
-| Omni model extension contract | Current | `OMNI_MODEL_EXTENSION_CONTRACT.md`, `configs/omni_backbones/`, `scripts/omni/backbone_registry.py`, `scripts/omni/smoke_test_backbone_packaging.py` | Future model branches must keep the same episode split discipline, held-out metrics, validation gate, public-safe package contract, and explicit forbidden-artifact policy before reporting results. |
+| Research roadmap | Current | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | The roadmap connects public-sample task development to the final verified Qwen3-Omni diagnostic result, same-split baseline alignment, action/subtask error analysis, robustness runs, world/policy tracks, and the future Xperience-native pretraining goal. |
+| 128-episode task-suite enhancement pack | Current no-new-episode plan | `TASK_SUITE_ENHANCEMENT_128.md`, `docs/data/task_suite_enhancement_128.json`, `results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json`, `scripts/omni/build_task_suite_enhancement_128.py` | The current 3,808-window selected split can be stressed without more episodes by exporting denser and multiscale windows. The recommended next export is `multiscale_20s10_40s20_80s40`, estimated at 106,095 windows from the observed frame spans; the pack also defines hierarchical action/subtask targets, raw-feature shard priorities for unsupported tasks, and Qwen3-Omni/Cosmos3 follow-up run cards. |
+| Foundation-model plan | Current | `FOUNDATION_MODEL_PLAN.md`, `docs/data/foundation_model_plan.json` | Qwen3-Omni remains the first structured JSON LoRA baseline; Cosmos3-Nano is verified as a future-window compatibility diagnostic; Cosmos3-Super is represented by a base-weight Reasoner evaluation and a fine-tuned Forward-Dynamics LoRA adapter. The Super LoRA target is camera-pose-conditioned future vision velocity, not supervised JSON action-token prediction. OpenVLA/openpi/GR00T remain policy candidates after robot-compatible action targets are explicit. |
+| Cosmos3-Super action-target contract | Superseded by verified forward-dynamics LoRA | `scripts/omni/export_cosmos3_camera_pose_targets.py`, `scripts/omni/pack_cosmos3_super_action_batch.py`, `results/omni_finetune/xperience10m_cosmos3_camera_pose_targets_20260608/target_manifest.json`, `results/omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/training_contract_audit.json`, `results/omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/packer_summary.json` | The selected 128-episode JSONL is augmented with 3,808/3,808 valid `camera_pose` proxy `cosmos_action_target` records from SLAM pose deltas. The schema packer and contract audit are now supporting evidence for the trained forward-dynamics adapter; they still do not supervise `preds_action`, so action-token prediction needs a separate policy or inverse-dynamics target export. |
+| Cosmos3-Super Forward-Dynamics LoRA | Verified fine-tuned adapter | `configs/omni_backbones/cosmos3_super_forward_dynamics.json`, `scripts/omni/train_cosmos3_super_forward_dynamics_lora.py`, `scripts/omni/eval_cosmos3_super_forward_dynamics_lora.py`, `results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/verified_result_summary.json`, `results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/package_audit.json` | The first fine-tuned Cosmos3-Super adapter is locally verified as a public-safe package: 26.2M LoRA parameters, 2,848 train rows, 512 validation rows, 448 held-out test rows, validation MSE 4.0082, and test MSE 3.6853. The package excludes adapter safetensors; weights are published separately at `cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep`. |
+| Omni model extension contract | Current | `OMNI_MODEL_EXTENSION_CONTRACT.md`, `configs/omni_backbones/`, `scripts/omni/backbone_registry.py`, `scripts/omni/smoke_test_backbone_packaging.py` | Future model rows/adapters must keep the same episode split discipline, held-out metrics, validation gate, public-safe package contract, and explicit forbidden-artifact policy before reporting results. |
 | Xperience Embodied Foundation Model | Future goal | `XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md` | A future full-corpus pretraining plan describes target modules, objectives, staged scale-up, hardware ranges, and evaluation for a domain-specific embodied foundation model. |
 | Evaluation protocol | Verified | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts. |
 | Dataset context | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, official Xperience-10M and sample cards | The README and dashboard distinguish the public sample used here from the gated full dataset used for the selected multi-episode pilot. |
@@ -38,7 +48,7 @@ The current no-new-episode enhancement layer records how to push the selected
 | Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
 | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
 | 128-episode aligned baselines | Verified companion result | `results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`, `results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/`, `scripts/omni/run_128_task_baselines.py`, `scripts/omni/run_128_raw20_task_baselines.py` | The earlier simple and neural baseline framing is aligned to the same selected 96/16/16 episode split used by the Qwen3-Omni pilot. Metadata/text simple and neural heads now have 20/20 rows, raw-feature simple and neural heads have 20/20 rows, and compact proxies remain marked for missing direct raw targets. |
-| Qwen3-Omni fine-tuning | Latest v6 diagnostic branch verified; JSON target met | `docs/data/omni_finetune_verified_result.json`, `docs/data/qwen3_v5_v6_comparison.json`, `results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`, `results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/`, `scripts/omni/package_verified_omni_result.py`, `scripts/omni/audit_verified_omni_package.py`, `scripts/omni/analyze_qwen3_omni_errors.py` | The selected 96/16/16 episode split now has a current public-safe v6 rank64/lr5e-5 held-out package with 34,269 exported windows and 4,032 test predictions. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics. |
+| Qwen3-Omni fine-tuning | Latest v6 diagnostic row verified; JSON target met | `QWEN3_OMNI_RUN_LINEAGE.md`, `docs/data/qwen3_omni_run_lineage.json`, `docs/data/omni_finetune_verified_result.json`, `docs/data/qwen3_v5_v6_comparison.json`, `results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`, `results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/`, `scripts/omni/package_verified_omni_result.py`, `scripts/omni/audit_verified_omni_package.py`, `scripts/omni/analyze_qwen3_omni_errors.py` | Qwen3-Omni v1-v6 are one selected-128 run lineage: v1-v4 harden the pipeline and evaluate ablations, v5 is the pinned prior multiscale release, and v6 is the current public 20-task row. The v6 rank64/lr5e-5 package has 34,269 exported windows and 4,032 test predictions. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics. |
 | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
 
 ## Fast Research Route
@@ -53,10 +63,10 @@ The current no-new-episode enhancement layer records how to push the selected
 5. Inspect `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json` for
    the path from public-sample task work to multi-episode modeling.
 6. Inspect `FOUNDATION_MODEL_PLAN.md` and
-   `docs/data/foundation_model_plan.json` before choosing a backbone branch.
+   `docs/data/foundation_model_plan.json` before choosing a backbone track.
 7. Inspect `OMNI_MODEL_EXTENSION_CONTRACT.md` and run
    `python scripts/omni/backbone_registry.py --validate --json` before adding
-   a new Qwen, Cosmos-style, or VLA/policy branch.
+   a new Qwen, Cosmos-style, or VLA/policy row.
 8. Inspect `XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md` for the
    long-term full-corpus pretraining goal.
 9. Inspect `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`,
@@ -81,12 +91,13 @@ The current no-new-episode enhancement layer records how to push the selected
 
 ## Current Reading Notes
 
-- Cross-episode generalization is a later multi-episode evaluation target; the
-  current results use one public sample episode.
+- Line 1 uses one public sample episode. Line 2 uses selected-128 public-safe
+  processed artifacts linked to official gated episode paths. Do not merge
+  those claims when reading scores.
 - Public-facing fine-tuning results should come from the verified result
   package, not from live process logs or setup-only artifacts.
 - The latest Qwen3-Omni v6 held-out package verifies the current dense
-  multiscale branch and meets the strict-JSON target, but not strong
+  multiscale run and meets the strict-JSON target, but not strong
   action/subtask model quality: JSON validity is 99.90%, action macro-F1 is
   0.0029, and subtask accuracy is 0.0037. v5 remains the pinned prior release
   row because it is still stronger on several metrics.
@@ -104,11 +115,11 @@ The current no-new-episode enhancement layer records how to push the selected
 - Audio contribution is evaluated across the original task contracts in
   `results/audio_ablation/`.
 - Foundation-model selection is now explicit: Qwen3-Omni is the immediate
-  trainable pilot, Cosmos 3 is the first world-model branch, and Cosmos3-Super
+  trainable pilot, Cosmos 3 is the first world-model track, and Cosmos3-Super
   has a camera-pose proxy forward-dynamics contract ready for trainer
   implementation; policy models such as OpenVLA/openpi/GR00T still wait for
   robot-compatible action-target conversion.
-- Future model branches should be added through the backbone registry and
+- Future model rows/adapters should be added through the backbone registry and
   verified package contract, not by creating one-off result folders with
   incompatible metrics or publication rules.
 - The Xperience Embodied Foundation Model is a future native-pretraining goal,

PUBLIC_READER_MAP.md

@@ -10,12 +10,14 @@ trail.
 | Reader goal | Start here | Then inspect |
 | --- | --- | --- |
 | Understand the project in one pass | `PROJECT_BRIEF.md` | `PROJECT_STATUS.md`, `RESEARCH_TAKEAWAYS.md` |
+| Understand the two evidence lines | `TWO_EVIDENCE_LINES.md` | `docs/data/two_evidence_lines.json`, `docs/data/two_evidence_line_result_summary.json` |
 | See the visual public dashboard | GitHub Pages or the HF Space | `docs/index.html`, `docs/data/project_packet.json` |
 | Understand the data unit | `results/episode_task_suite/windows.csv` | `results/episode_task_suite/feature_manifest.json`, `docs/data/raw_sample_files.json` |
 | Trace the 128-episode split | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md` | `docs/data/xperience10m_128_episode_feature_index.json`, `results/omni_finetune/xperience10m_128_episode_selection.csv` |
 | Inspect the 20-task benchmark | `TASK_SUITE_20.md` | `docs/data/task_suite_20.json`, `EVALUATION_PROTOCOL.md` |
 | Compare current results | `RESEARCH_TAKEAWAYS.md` | `docs/data/task_method_20_result_matrix.json`, `docs/data/unified_task_model_radar.json` |
 | Compare 1-episode and 128-episode methods | Homepage radar section | `docs/data/single_episode_task_model_radar.json`, `docs/data/episode128_task_model_radar.json` |
+| Read Qwen3-Omni v1-v6 correctly | `QWEN3_OMNI_RUN_LINEAGE.md` | `docs/data/qwen3_omni_run_lineage.json`, `docs/data/qwen3_v5_v6_comparison.json` |
 | Find all derived artifacts | `ARTIFACT_GUIDE.md` | HF artifact dataset, `docs/data/artifact_index.json` |
 | Download model weights with their matching results | Hugging Face weights/results repo | `manifest.json`, `analysis/docs/data/task_method_20_result_matrix.json`, `results/` |
 | Reproduce or extend the work | `REPRODUCIBILITY.md` | `QUALITY_GATES.md`, `scripts/`, `results/` |
@@ -34,7 +36,7 @@ trail.
 | HF weights/results repo | Consolidated baseline weights, Qwen3-Omni v6 LoRA, Cosmos3-Super adapter/result artifacts, verified results, analysis files, and file-level manifest | Auditing all public-safe weight-bearing artifacts from one repo |
 | Qwen3-Omni and Cosmos3 model repos | Adapter-specific public weights or package cards when a run is verified and publishable | Inspecting Qwen3-Omni and Cosmos3 artifacts |
 
-## Evidence Layers
+## Evidence Views
 
 1. Dataset/source boundary: upstream Xperience-10M links, public sample scope,
    raw-data exclusion, and derived-file policy.
@@ -42,8 +44,9 @@ trail.
    split policy, and leakage controls.
 3. Task suite: 20 named tasks with inputs, outputs, metrics, baseline
    artifacts, and walkthroughs.
-4. Results: minimal heads, neural heads, 128-episode aligned baselines,
-   Qwen3-Omni diagnostics, Cosmos diagnostics, radar views, and explicit gaps.
+4. Results: Line 1 minimal/neural heads, Line 2 selected-128 aligned baselines,
+   Qwen3-Omni v6 diagnostics, Cosmos diagnostics, radar views, and explicit
+   direct-vs-proxy labels.
 5. Foundation directions: spatial intelligence, human-video world modeling, and
    vision-language-action training pipelines.
 6. Public-release checks: website integrity, source alignment, mirror parity,
@@ -54,6 +57,7 @@ trail.
 | Claim type | Public evidence | Boundary |
 | --- | --- | --- |
 | Single public-sample task behavior | `results/episode_task_suite/`, `docs/data/task_suite_20.json` | Describes one public sample episode, not the full dataset distribution |
-| 128-episode baseline comparison | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md`, `docs/data/xperience10m_128_episode_feature_index.json`, `results/omni_finetune/*128*`, `docs/data/omni_model_comparison.json` | Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream |
+| 128-episode method comparison | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md`, `docs/data/xperience10m_128_episode_feature_index.json`, `results/omni_finetune/*128*`, `docs/data/omni_model_comparison.json` | Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream |
+| Qwen3-Omni v1-v6 lineage | `QWEN3_OMNI_RUN_LINEAGE.md`, `docs/data/qwen3_omni_run_lineage.json` | v1-v4 are pipeline/ablation evidence, v5 is the pinned prior release, and v6 is the current public 20-task Qwen row |
 | Foundation-model track quality | Verified Qwen3-Omni and Cosmos3 result packages and model cards | Numeric task scores appear only when a task-specific eval/probe exists |
 | Reproducibility | `REPRODUCIBILITY.md`, `QUALITY_GATES.md`, release validators | Raw gated Xperience-10M files and full foundation weights are not redistributed |

QWEN3_OMNI_RUN_LINEAGE.md

@@ -1,6 +1,6 @@
 # Qwen3-Omni v1-v6 Run Lineage
 
-Generated: `2026-06-21T10:54:46+00:00`.
+Generated: `2026-06-21T11:47:45+00:00`.
 
 Scope: Verified public-safe Qwen3-Omni LoRA/eval packages over the selected Xperience-10M 128-episode surface.
 

README.md

@@ -57,11 +57,11 @@ metrics:
 </p>
 
 
-**Ropedia Xperience-10M Task Suite** is organized as two public result lines, not one blended benchmark. The 1-sample line is a fully inspectable task lab. The selected-128 line is the comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Every score points back to a source artifact and keeps direct-vs-proxy status visible.
+**Ropedia Xperience-10M Task Suite** has two public evidence lines. **Line 1** is the 1-sample task lab for raw-file inspection, task construction, and reproducibility. **Line 2** is the selected-128 comparison surface for aligned metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. Every score points to a source artifact and keeps direct-vs-proxy status visible.
 
 **Updated:** 2026-06-21.
 
-**Scope:** one public sample episode for raw-file inspection and reproducible task construction; selected 128-episode public-safe artifacts for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. Raw Xperience-10M MP4/HDF5/RRD files, Qwen3 base weights, Cosmos3 base weights, and gated data are not redistributed here.
+**Scope:** Line 1 uses one public sample episode. Line 2 uses selected 128-episode public-safe artifacts linked back to official gated episode paths. Raw Xperience-10M MP4/HDF5/RRD files, Qwen3 base weights, Cosmos3 base weights, and gated data are not redistributed here.
 
 ## Contents
 
@@ -81,6 +81,8 @@ metrics:
 
 Use the two evidence lines first, then choose the artifact that answers your question. The dashboard is the best visual overview; the GitHub repo is the source of truth for scripts and generated JSON; Hugging Face mirrors contain public-safe cards, metrics, figures, and model artifacts.
 
+Quick rule: use **Line 1** for “can I inspect and reproduce the task?” Use **Line 2** for “how do aligned baselines and model diagnostics compare on the selected 128 episodes?”
+
 The multilingual README files are reader guides. The canonical technical evidence is still the committed task contracts, result matrices, validation JSON, and public-safe result packages.
 
 ## At A Glance
@@ -94,8 +96,8 @@ The multilingual README files are reader guides. The canonical technical evidenc
   </thead>
   <tbody>
     <tr>
-      <td><strong>Two result lines</strong></td>
-      <td><strong>1 sample episode</strong> for task construction and reproducibility. <strong>128 selected episodes</strong> for same-split metadata/raw baselines plus Qwen3-Omni v6 and Cosmos3 diagnostics.</td>
+      <td><strong>Two-line contract</strong></td>
+      <td><strong>Line 1: 1 sample episode</strong> for task construction and reproducibility. <strong>Line 2: 128 selected episodes</strong> for same-split metadata/raw baselines, Qwen3-Omni v6, and Cosmos3 diagnostics.</td>
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
@@ -126,7 +128,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
 
 ## Two Evidence Lines
 
-The public suite is organized around two result lines. Keep them separate when reading metrics.
+The public suite is organized around two evidence lines. Keep them separate when reading metrics.
 
 <p align="center">
   <img src="docs/assets/charts/two_evidence_line_map.svg" alt="Two evidence-line map: 1 sample episode and 128 selected episodes combine into 180 scored method-task records" width="100%">
@@ -667,10 +669,12 @@ robotics, spatial intelligence, and world modeling. The public
 [`ropedia-ai/xperience-10m-sample`](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample)
 repo provides the sample episode used for the implemented task suite here.
 
-This project keeps those layers separate: the public sample supports the
-current 20-task study, while the gated full dataset is used only for the
-selected multi-episode Qwen3-Omni pilot. Raw Xperience-10M MP4/HDF5/RRD files
-are not redistributed in this repo or in the Hugging Face mirrors.
+This project keeps two evidence lines separate. Line 1 uses the public sample
+for raw-file inspection, task construction, and local reproducibility. Line 2
+uses selected 128-episode public-safe artifacts for same-split method
+comparison, Qwen3-Omni v6 diagnostics, and Cosmos3 diagnostics. Raw
+Xperience-10M MP4/HDF5/RRD files are not redistributed in this repo or in the
+Hugging Face mirrors.
 
 The current verified public-sample subset is:
 
@@ -685,9 +689,9 @@ Detailed dataset notes are available in
 [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md)
 and [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json)
 for readers who need the full upstream-card and access-term context. The
-practical boundary is simple: current task-suite results come from the public
-sample, and the first multi-episode Qwen3-Omni diagnostic pilot is verified but
-not yet strong model quality.
+practical boundary is simple: task-lab claims come from Line 1, selected-128
+comparison claims come from Line 2, and compact-proxy cells stay explicitly
+marked where direct raw targets are missing.
 
 Start with the visual dashboard:
 
@@ -697,12 +701,12 @@ Hugging Face Space app:
 
 **[cy0307-ropedia-xperience-10m-task-suite.hf.space](https://cy0307-ropedia-xperience-10m-task-suite.hf.space/)**
 
-## Read This Project In Three Layers
+## Read This Project By Evidence View
 
 <table>
   <thead>
     <tr>
-      <th width="24%">Layer</th>
+      <th width="24%">View</th>
       <th width="34%">What to inspect</th>
       <th>Why it matters</th>
     </tr>
@@ -719,7 +723,7 @@ Hugging Face Space app:
     <tr><td><strong>Minimal heads</strong></td><td>softmax<br>ridge projection/regression<br>multi-label logistic heads</td><td>Keeps every input/output contract visible and inspectable.</td></tr>
     <tr><td><strong>Neural heads</strong></td><td>PyTorch MLP classifiers/regressors under <a href="results/episode_task_suite/neural_mlp/">neural_mlp/</a></td><td>Checks whether nonlinear heads improve each task without changing features.</td></tr>
     <tr><td><strong>Evidence</strong></td><td>metrics<br>predictions<br>confusion matrices<br>diagrams<br>dashboard</td><td>Makes the single-episode task development inspectable without rerunning first.</td></tr>
-    <tr><td><strong>Artifact guide</strong></td><td><a href="ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></td><td>Groups the public evidence into research-project layers after the first-pass overview.</td></tr>
+    <tr><td><strong>Artifact guide</strong></td><td><a href="ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></td><td>Groups the public evidence into reader-facing views after the first-pass overview.</td></tr>
     <tr><td><strong>Reproducibility contract</strong></td><td><a href="REPRODUCIBILITY.md">REPRODUCIBILITY.md</a><br><a href="docs/data/reproducibility_matrix.json">reproducibility_matrix.json</a></td><td>States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries.</td></tr>
     <tr><td><strong>Citation metadata</strong></td><td><a href="CITATION.cff">CITATION.cff</a><br><a href="codemeta.json">codemeta.json</a><br><a href="LICENSE">LICENSE</a></td><td>Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms.</td></tr>
   </tbody>
@@ -842,9 +846,10 @@ overlays exact labels, dimensions, and metrics from the committed result files.
 
 ## Scope
 
-This is a learning, inspection, and pipeline-validation repo built from one
-public sample episode. The next model-quality stage is to run the same suite
-over many episodes and split train/test by held-out episode.
+This is a learning, inspection, and pipeline-validation repo with two public
+evidence lines. Line 1 is built from one public sample episode. Line 2 uses a
+selected 96/16/16 split over 128 episode paths, public-safe processed features,
+and verified Qwen3-Omni/Cosmos3 diagnostic artifacts.
 
 ## What Is Inside
 
@@ -1090,14 +1095,17 @@ baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future W
 files also include `model_groups`: a model-first view that pairs 1-episode and
 128-episode entries for the same family. Use that section when comparing task
 heads against task heads, Qwen3-Omni smoke/LoRA against Qwen3-Omni LoRA, or
-Cosmos3-Nano compatibility against future Cosmos weight releases.
+Cosmos3-Nano compatibility against future Cosmos weight releases. For
+Qwen3-Omni specifically, read `QWEN3_OMNI_RUN_LINEAGE.md`: v1-v4 are
+pipeline-hardening and ablation evidence, v5 is the pinned prior multiscale
+release, and v6 is the current public 20-task Qwen row.
 
-The no-new-episode enhancement layer is recorded in
+The no-new-episode enhancement plan is recorded in
 [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json)
 and [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md). It keeps
 the current Qwen3-Omni v6 and Cosmos3 packages as baselines, then defines dense-window
 scenarios, hierarchical action/subtask targets, task bottlenecks, and experiment
-cards for a stronger 128-episode v5 run without overwriting earlier results.
+cards for stronger selected-128 runs without overwriting earlier results.
 
 ### Sample Count Decision
 

TWO_EVIDENCE_LINES.md

@@ -1,6 +1,6 @@
 # Two Evidence Lines
 
-The public Xperience-10M suite has two result lines. Read them separately.
+The public Xperience-10M suite has two evidence lines. Read them separately.
 
 ![Two evidence-line map](docs/assets/charts/two_evidence_line_map.svg)
 
@@ -9,7 +9,7 @@ Score formula: 2 single-episode methods x 20 tasks = 40 records; 7 selected-128
 | Line | Data unit | Score statement | Valid claim | Do not claim |
 | --- | --- | --- | --- | --- |
 | 1 sample episode | One public sample episode; 5,821 frames; 1,161 aligned 20-frame windows; 8,546 feature dimensions. | 40/40 direct scores from Minimal and Neural MLP heads. | Task construction, raw-file inspection, local reproducibility, and controlled single-episode baselines. | Multi-episode generalization. |
-| 128 selected episodes | Selected held-out 96/16/16 split; 34,269 exported windows; public-safe processed features linked to official gated episode paths. | 140/140 selected-128 scores: 134 direct + 6 compact-proxy. | Same-split baseline/model comparison, Qwen3-Omni v6 LoRA diagnostics, Cosmos3-Super/Cosmos3-Nano diagnostics, and scale-up planning. | Reading compact-proxy cells as direct raw-target measurements. |
+| 128 selected episodes | Selected held-out 96/16/16 split; 34,269 exported windows; public-safe processed features linked to official gated episode paths. | 140/140 selected-128 scores: 134 direct + 6 compact-proxy. | Same-split method comparison, Qwen3-Omni v6 LoRA diagnostics, Cosmos3-Super/Cosmos3-Nano diagnostics, and scale-up planning. | Reading compact-proxy cells as direct raw-target measurements. |
 
 ## Result Ledger
 
@@ -28,7 +28,7 @@ Score formula: 2 single-episode methods x 20 tasks = 40 records; 7 selected-128
 | 128 selected episodes | Qwen3-Omni series | Qwen3-Omni v6 LoRA | 20/20 direct scores from verified selected-128 LoRA and task-specific probes. | Current trainable Qwen3-Omni diagnostic baseline on the selected-128 surface. |
 | 128 selected episodes | Cosmos3 series | Cosmos3-Super Reasoner; Cosmos3-Nano Future Window | 40/40 direct scores from verified public-safe reasoner and future-window artifacts. | Cosmos3 reasoner and future-window diagnostics on the selected-128 surface. |
 
-Qwen3 run v1-v6 is a LoRA/evaluation lineage, not the project-level result layer numbering. The 20-task matrix uses Qwen3-Omni v6 LoRA; v5 remains the pinned prior release. Cosmos3-Super Forward-Dynamics LoRA is a separate adapter artifact and is not counted as a 20-task matrix method row.
+Qwen3 run v1-v6 is a LoRA/evaluation lineage inside the 128-episode line, not the project evidence-line numbering. The 20-task matrix uses Qwen3-Omni v6 LoRA; v5 remains the pinned prior release. Cosmos3-Super Forward-Dynamics LoRA is a separate adapter artifact and is not counted as a 20-task matrix method row.
 
 ## Result Files
 
@@ -46,7 +46,7 @@ Qwen3 run v1-v6 is a LoRA/evaluation lineage, not the project-level result layer
 ## Interpretation Rule
 
 Use the 1-episode line for task construction and reproducibility claims.
-Use the 128-episode line for held-out comparison and model-branch claims.
+Use the 128-episode line for held-out same-split comparison and model-diagnostic claims.
 Do not mix those claims without naming the evidence line.
 
 ## Reading Order

TWO_EVIDENCE_LINE_RESULT_SUMMARY.md

@@ -1,6 +1,6 @@
 # Two Evidence-Line Result Summary
 
-Generated: `2026-06-21T10:47:04+00:00`.
+Generated: `2026-06-21T11:49:06+00:00`.
 
 Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
 
@@ -8,7 +8,7 @@ Interpretation rule: Use the 1-episode line for task construction and reproducib
 
 ## Read This First
 
-The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.
+The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.
 
 Score formula: 2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.
 

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:28:34+00:00",
+  "generated_at_utc": "2026-06-21T11:53:22+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1256,
@@ -824,45 +824,45 @@
       "local": {
         "path": "repo:docs/data/public_reader_map.json",
         "exists": true,
-        "bytes": 5990,
-        "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+        "bytes": 6757,
+        "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
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@@ -31165,26 +31165,26 @@
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@@ -31195,27 +31195,27 @@
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@@ -31226,27 +31226,27 @@
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@@ -31319,27 +31319,27 @@
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data/project_status.json

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Project Status",
   "version": "2026-06-20",
   "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
-  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
+  "research_positioning": "A research-engineering study with two public evidence lines: Line 1 makes one public Xperience-10M sample episode inspectable and reproducible as a 20-task lab; Line 2 aligns selected 128-episode baselines with verified Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano diagnostics, then records a no-new-episode enhancement pack for pushing the 128-episode suite harder.",
   "scope_boundary": {
     "validated_episode_count": 1,
     "aligned_frames": 5821,
@@ -259,6 +259,8 @@
       "area": "Qwen3-Omni fine-tuning",
       "status": "final_verified_diagnostic_result_json_target_met",
       "evidence": [
+        "QWEN3_OMNI_RUN_LINEAGE.md",
+        "docs/data/qwen3_omni_run_lineage.json",
         "docs/data/omni_finetune_verified_result.json",
         "docs/data/qwen3_v5_v6_comparison.json",
         "results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md",
@@ -268,7 +270,7 @@
         "scripts/omni/audit_verified_omni_package.py",
         "scripts/omni/analyze_qwen3_omni_errors.py"
       ],
-      "readout": "The selected 96/16/16 episode split now has a current v6 rank64/lr5e-5 public-safe held-out package with 34,269 exported windows, 4,032 test predictions, validation/audit summaries, and a public LoRA adapter repo. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics."
+      "readout": "Qwen3-Omni v1-v6 are one selected-128 run lineage, not six project evidence lines. v1-v4 harden the pipeline and record ablations, v5 is the pinned prior multiscale release, and v6 is the current public 20-task Qwen row. The v6 rank64/lr5e-5 public-safe held-out package has 34,269 exported windows, 4,032 test predictions, validation/audit summaries, and a public LoRA adapter repo. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics."
     },
     {
       "area": "Cosmos3-Nano future-window package",

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:07:41+00:00",
+  "generated_at_utc": "2026-06-21T11:49:39+00:00",
   "checks": [
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@@ -255,7 +255,7 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 3049,
+      "file_count": 4519,
       "text_file_count": 1283,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
@@ -266,7 +266,7 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 3533,
+      "file_count": 5281,
       "text_file_count": 1455,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:09+00:00",
+  "generated_at_utc": "2026-06-21T11:49:59+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/two_evidence_line_result_summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-21T10:47:04+00:00",
+  "generated_at_utc": "2026-06-21T11:49:06+00:00",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
   "lines": [
     {
@@ -337,7 +337,7 @@
     "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.",
     "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior."
   },
-  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
   "reading_order": [
     {
       "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",

docs/data/public_reader_map.json

@@ -8,6 +8,11 @@
       "start_here": "PROJECT_BRIEF.md",
       "then_inspect": ["PROJECT_STATUS.md", "RESEARCH_TAKEAWAYS.md"]
     },
+    {
+      "reader_goal": "Understand the two evidence lines",
+      "start_here": "TWO_EVIDENCE_LINES.md",
+      "then_inspect": ["docs/data/two_evidence_lines.json", "docs/data/two_evidence_line_result_summary.json"]
+    },
     {
       "reader_goal": "See the visual public dashboard",
       "start_here": "GitHub Pages dashboard or Hugging Face Space",
@@ -38,6 +43,11 @@
       "start_here": "Homepage radar section",
       "then_inspect": ["docs/data/single_episode_task_model_radar.json", "docs/data/episode128_task_model_radar.json"]
     },
+    {
+      "reader_goal": "Read Qwen3-Omni v1-v6 correctly",
+      "start_here": "QWEN3_OMNI_RUN_LINEAGE.md",
+      "then_inspect": ["docs/data/qwen3_omni_run_lineage.json", "docs/data/qwen3_v5_v6_comparison.json"]
+    },
     {
       "reader_goal": "Find all derived artifacts",
       "start_here": "ARTIFACT_GUIDE.md",
@@ -101,11 +111,11 @@
       "best_use": "Inspecting Qwen3-Omni and Cosmos3 artifacts."
     }
   ],
-  "evidence_layers": [
+  "evidence_views": [
     "Dataset/source boundary",
     "Data contract",
     "Task suite",
-    "Results",
+    "Results by Line 1 and Line 2",
     "Foundation directions",
     "Public-release checks"
   ],
@@ -116,10 +126,15 @@
       "boundary": "Describes one public sample episode, not the full dataset distribution."
     },
     {
-      "claim_type": "128-episode baseline comparison",
+      "claim_type": "128-episode method comparison",
       "public_evidence": ["XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md", "docs/data/xperience10m_128_episode_feature_index.json", "results/omni_finetune/*128*", "docs/data/omni_model_comparison.json"],
       "boundary": "Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream."
     },
+    {
+      "claim_type": "Qwen3-Omni v1-v6 lineage",
+      "public_evidence": ["QWEN3_OMNI_RUN_LINEAGE.md", "docs/data/qwen3_omni_run_lineage.json"],
+      "boundary": "v1-v4 are pipeline and ablation evidence, v5 is the pinned prior release, and v6 is the current public 20-task Qwen row."
+    },
     {
       "claim_type": "Foundation-model track quality",
       "public_evidence": ["Verified Qwen3-Omni and Cosmos3 result packages", "model cards"],

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:07+00:00",
+  "generated_at_utc": "2026-06-21T11:49:55+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:07:26+00:00"
+          "generated_at_utc": "2026-06-21T11:49:24+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:04:16+00:00"
+          "generated_at_utc": "2026-06-21T11:08:07+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:04:16+00:00"
+          "generated_at_utc": "2026-06-21T11:49:23+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:03:20+00:00"
+          "generated_at_utc": "2026-06-21T11:08:09+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:07:41+00:00"
+          "generated_at_utc": "2026-06-21T11:49:39+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:05:04+00:00"
+          "generated_at_utc": "2026-06-21T11:28:34+00:00"
         }
       },
       "failures": {}
@@ -98,7 +98,7 @@
         "Ropedia Xperience-10M Task Suite": 20,
         "Xperience-10M": 166,
         "20-task": 89,
-        "Qwen3-Omni": 241,
+        "Qwen3-Omni": 242,
         "128-episode pilot": 1
       }
     },

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:28:42+00:00",
+  "generated_at_utc": "2026-06-21T11:52:46+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/task_method_20_source_audit.json

@@ -2,7 +2,7 @@
   "checked_json_metric_count": 180,
   "failure_count": 0,
   "failures": [],
-  "generated_at_utc": "2026-06-21T11:07:42+00:00",
+  "generated_at_utc": "2026-06-21T11:49:23+00:00",
   "method_task_record_count": 180,
   "rule": "Every scored row that declares a JSON metric source must have the same numeric value under that row's metric_key.",
   "scored_method_task_count": 180,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:07+00:00",
+  "generated_at_utc": "2026-06-21T11:49:55+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

docs/data/two_evidence_line_result_summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-21T10:47:04+00:00",
+  "generated_at_utc": "2026-06-21T11:49:06+00:00",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
   "lines": [
     {
@@ -337,7 +337,7 @@
     "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.",
     "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior."
   },
-  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
   "reading_order": [
     {
       "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",

docs/data/two_evidence_lines.json

@@ -2,7 +2,7 @@
   "status": "current",
   "updated_utc": "2026-06-21T00:00:00Z",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
-  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
   "score_formula": "2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.",
   "lines": [
     {

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:07:26+00:00",
+  "generated_at_utc": "2026-06-21T11:49:24+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -80,8 +80,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 118524,
-      "evidence_index": 163802
+      "overview_index": 118530,
+      "evidence_index": 163804
     },
     {
       "name": "project_status_links_json",
@@ -159,9 +159,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 118524,
-      "protocol_index": 159990,
-      "evidence_index": 163802
+      "overview_index": 118530,
+      "protocol_index": 159992,
+      "evidence_index": 163804
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -386,12 +386,12 @@
     },
     {
       "path": "data/project_status.json",
-      "bytes": 23054,
+      "bytes": 23255,
       "top_level_type": "dict"
     },
     {
       "path": "data/public_reader_map.json",
-      "bytes": 5990,
+      "bytes": 6757,
       "top_level_type": "dict"
     },
     {
@@ -536,12 +536,12 @@
     },
     {
       "path": "data/two_evidence_line_result_summary.json",
-      "bytes": 17414,
+      "bytes": 17416,
       "top_level_type": "dict"
     },
     {
       "path": "data/two_evidence_lines.json",
-      "bytes": 7349,
+      "bytes": 7351,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -3892,7 +3892,7 @@
         <div class="eyebrow">two evidence lines / 180 scored records</div>
         <h1>Ropedia Xperience-10M Task Suite.</h1>
         <p class="hero-copy">
-          The public suite has two result lines. Line 1 uses one public sample
+          The public suite has two evidence lines. Line 1 uses one public sample
           episode to make the 20-task lab inspectable and reproducible. Line 2
           uses 128 selected episodes to compare aligned baselines, Qwen3-Omni
           v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. The public matrix is complete at 180/180 scored
@@ -3922,7 +3922,7 @@
           </article>
           <article class="suite-line-card">
             <small>line 2 / 128 selected episodes</small>
-            <h3>128 selected episodes: comparison layer</h3>
+            <h3>128 selected episodes: comparison surface</h3>
             <p>Seven methods share the selected-episode surface and the same 20 task axes.</p>
             <div class="line-claim">
               <div><span>valid claim</span><p>Same-split method comparison and scale-up planning.</p></div>
@@ -4045,7 +4045,7 @@
       <div class="wrap section-tabs" id="sectionTabs" role="tablist" aria-label="Sections inside the selected project tab"></div>
       <div class="wrap section-orientation" id="sectionOrientation" aria-live="polite">
         <strong>You are in: Start / Project Overview</strong>
-        <span>Use the section pills to move within this layer, or jump to the full reader map.</span>
+        <span>Use the section pills to move within this section, or jump to the full reader map.</span>
         <a href="#reader-map">Reader map</a>
       </div>
     </div>
@@ -4186,7 +4186,7 @@
             </tr>
           </tbody>
         </table>
-        <p class="table-note">Qwen v1-v6 are run-lineage labels inside the selected-128 evidence line, not project-level result lines. Use v6 for the public 20-task Qwen3-Omni row; keep v5 as the pinned prior multiscale comparator; read v1-v4 as pipeline-hardening and ablation evidence. Full details: <a href="data/qwen3_omni_run_lineage.json">qwen3_omni_run_lineage.json</a> and <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QWEN3_OMNI_RUN_LINEAGE.md">QWEN3_OMNI_RUN_LINEAGE.md</a>.</p>
+        <p class="table-note">Qwen v1-v6 are run-lineage labels inside the selected-128 evidence line, not project evidence lines. Use v6 for the public 20-task Qwen3-Omni row; keep v5 as the pinned prior multiscale comparator; read v1-v4 as pipeline-hardening and ablation evidence. Full details: <a href="data/qwen3_omni_run_lineage.json">qwen3_omni_run_lineage.json</a> and <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QWEN3_OMNI_RUN_LINEAGE.md">QWEN3_OMNI_RUN_LINEAGE.md</a>.</p>
         <div class="reader-journey" aria-label="Recommended reader journeys">
           <article class="reader-step">
             <small>01 understand</small>
@@ -5679,7 +5679,7 @@
               <p>Use these files to navigate the whole project, open the published mirrors, or reproduce the public-sample pipeline.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact primary-artifact"><div><h3>Public reader map</h3><p>Single navigation layer for GitHub, GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni/Cosmos3 repos, and public claim boundaries.</p></div><a href="data/public_reader_map.json">reader map</a></article>
+              <article class="artifact primary-artifact"><div><h3>Public reader map</h3><p>Single navigation view for GitHub, GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni/Cosmos3 repos, and public claim boundaries.</p></div><a href="data/public_reader_map.json">reader map</a></article>
               <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from project scope to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">artifact guide</a></article>
               <article class="artifact"><h3>Reproduction scripts</h3><p>Training, visualization, taxonomy, walkthrough, validator, and omni-readiness scripts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/scripts">scripts/</a></article>
               <article class="artifact"><h3>Hugging Face Space</h3><p>The dashboard packaged as a public static Space.</p><a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a></article>
@@ -5761,7 +5761,7 @@
           <article class="artifact"><h3>Reproducibility matrix</h3><p>Machine-readable command matrix covering sample download, baselines, the unified 20-task suite, figures, and validation.</p><a href="data/reproducibility_matrix.json">reproducibility matrix</a></article>
           <article class="artifact"><h3>Exact-match reproduction record</h3><p>The last metric rebuild reproduced the public-sample outputs from a fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproduction audit</a></article>
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
-          <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Qwen v5/v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_v5_v6_comparison.json">Qwen v5/v6</a></article>
+              <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
         <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate tasks 13-20, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
@@ -6132,7 +6132,7 @@ python scripts/validate_publication_package.py</code></pre>
       if (!sectionOrientation) return;
       const tabLabel = tabLabels[tabKey] || tabKey;
       const sectionLabel = sectionLabels[sectionId] || labelForSection(document.getElementById(sectionId));
-      const description = sectionDescriptions[sectionId] || "Use the section pills to move within this layer without losing the evidence trail.";
+      const description = sectionDescriptions[sectionId] || "Use the section pills to move within this section without losing the evidence trail.";
       sectionOrientation.innerHTML = `
         <strong>You are in: ${tabLabel} / ${sectionLabel}</strong>
         <span>${description}</span>

index.html

@@ -3892,7 +3892,7 @@
         <div class="eyebrow">two evidence lines / 180 scored records</div>
         <h1>Ropedia Xperience-10M Task Suite.</h1>
         <p class="hero-copy">
-          The public suite has two result lines. Line 1 uses one public sample
+          The public suite has two evidence lines. Line 1 uses one public sample
           episode to make the 20-task lab inspectable and reproducible. Line 2
           uses 128 selected episodes to compare aligned baselines, Qwen3-Omni
           v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window. The public matrix is complete at 180/180 scored
@@ -3922,7 +3922,7 @@
           </article>
           <article class="suite-line-card">
             <small>line 2 / 128 selected episodes</small>
-            <h3>128 selected episodes: comparison layer</h3>
+            <h3>128 selected episodes: comparison surface</h3>
             <p>Seven methods share the selected-episode surface and the same 20 task axes.</p>
             <div class="line-claim">
               <div><span>valid claim</span><p>Same-split method comparison and scale-up planning.</p></div>
@@ -4045,7 +4045,7 @@
       <div class="wrap section-tabs" id="sectionTabs" role="tablist" aria-label="Sections inside the selected project tab"></div>
       <div class="wrap section-orientation" id="sectionOrientation" aria-live="polite">
         <strong>You are in: Start / Project Overview</strong>
-        <span>Use the section pills to move within this layer, or jump to the full reader map.</span>
+        <span>Use the section pills to move within this section, or jump to the full reader map.</span>
         <a href="#reader-map">Reader map</a>
       </div>
     </div>
@@ -4186,7 +4186,7 @@
             </tr>
           </tbody>
         </table>
-        <p class="table-note">Qwen v1-v6 are run-lineage labels inside the selected-128 evidence line, not project-level result lines. Use v6 for the public 20-task Qwen3-Omni row; keep v5 as the pinned prior multiscale comparator; read v1-v4 as pipeline-hardening and ablation evidence. Full details: <a href="data/qwen3_omni_run_lineage.json">qwen3_omni_run_lineage.json</a> and <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QWEN3_OMNI_RUN_LINEAGE.md">QWEN3_OMNI_RUN_LINEAGE.md</a>.</p>
+        <p class="table-note">Qwen v1-v6 are run-lineage labels inside the selected-128 evidence line, not project evidence lines. Use v6 for the public 20-task Qwen3-Omni row; keep v5 as the pinned prior multiscale comparator; read v1-v4 as pipeline-hardening and ablation evidence. Full details: <a href="data/qwen3_omni_run_lineage.json">qwen3_omni_run_lineage.json</a> and <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QWEN3_OMNI_RUN_LINEAGE.md">QWEN3_OMNI_RUN_LINEAGE.md</a>.</p>
         <div class="reader-journey" aria-label="Recommended reader journeys">
           <article class="reader-step">
             <small>01 understand</small>
@@ -5679,7 +5679,7 @@
               <p>Use these files to navigate the whole project, open the published mirrors, or reproduce the public-sample pipeline.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact primary-artifact"><div><h3>Public reader map</h3><p>Single navigation layer for GitHub, GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni/Cosmos3 repos, and public claim boundaries.</p></div><a href="data/public_reader_map.json">reader map</a></article>
+              <article class="artifact primary-artifact"><div><h3>Public reader map</h3><p>Single navigation view for GitHub, GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni/Cosmos3 repos, and public claim boundaries.</p></div><a href="data/public_reader_map.json">reader map</a></article>
               <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from project scope to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">artifact guide</a></article>
               <article class="artifact"><h3>Reproduction scripts</h3><p>Training, visualization, taxonomy, walkthrough, validator, and omni-readiness scripts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/scripts">scripts/</a></article>
               <article class="artifact"><h3>Hugging Face Space</h3><p>The dashboard packaged as a public static Space.</p><a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a></article>
@@ -5761,7 +5761,7 @@
           <article class="artifact"><h3>Reproducibility matrix</h3><p>Machine-readable command matrix covering sample download, baselines, the unified 20-task suite, figures, and validation.</p><a href="data/reproducibility_matrix.json">reproducibility matrix</a></article>
           <article class="artifact"><h3>Exact-match reproduction record</h3><p>The last metric rebuild reproduced the public-sample outputs from a fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproduction audit</a></article>
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
-          <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Qwen v5/v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_v5_v6_comparison.json">Qwen v5/v6</a></article>
+              <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
         <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate tasks 13-20, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
@@ -6132,7 +6132,7 @@ python scripts/validate_publication_package.py</code></pre>
       if (!sectionOrientation) return;
       const tabLabel = tabLabels[tabKey] || tabKey;
       const sectionLabel = sectionLabels[sectionId] || labelForSection(document.getElementById(sectionId));
-      const description = sectionDescriptions[sectionId] || "Use the section pills to move within this layer without losing the evidence trail.";
+      const description = sectionDescriptions[sectionId] || "Use the section pills to move within this section without losing the evidence trail.";
       sectionOrientation.innerHTML = `
         <strong>You are in: ${tabLabel} / ${sectionLabel}</strong>
         <span>${description}</span>

metrics/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:28:34+00:00",
+  "generated_at_utc": "2026-06-21T11:53:22+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1256,
@@ -824,45 +824,45 @@
       "local": {
         "path": "repo:docs/data/public_reader_map.json",
         "exists": true,
-        "bytes": 5990,
-        "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+        "bytes": 6757,
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       },
       "mirrors": {
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           "path": "hf_space:data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
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           "path": "hf_artifacts:docs/data/public_reader_map.json",
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-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         },
         "hf_model_data": {
           "path": "hf_model:data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         },
         "hf_model": {
           "path": "hf_model:metrics/public_reader_map.json",
           "exists": true,
-          "bytes": 5990,
-          "sha256": "45b89ce3c3da32856ecaff0902bc6903edcd16032595dc8f850e3fbf16cb0dd6"
+          "bytes": 6757,
+          "sha256": "b08deaeaeeb19e8522966e85076250724541370a30d487b67272fd544f0398fc"
         }
       },
       "failures": []
@@ -873,45 +873,45 @@
       "local": {
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         "exists": true,
-        "bytes": 23054,
-        "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+        "bytes": 23255,
+        "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/project_status.json",
           "exists": true,
-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+          "bytes": 23255,
+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/project_status.json",
           "exists": true,
-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+          "bytes": 23255,
+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
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         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/project_status.json",
           "exists": true,
-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+          "bytes": 23255,
+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
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         "hf_model_data": {
           "path": "hf_model:data/project_status.json",
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-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+          "bytes": 23255,
+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/project_status.json",
           "exists": true,
-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
+          "bytes": 23255,
+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
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         "hf_model": {
           "path": "hf_model:metrics/project_status.json",
           "exists": true,
-          "bytes": 23054,
-          "sha256": "5ea0e111a04ad255f153567d603f06990240121351fd9cfce850a7935a8dd6f9"
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+          "sha256": "874f1133ee75f060735f0c9e763cf81463f304432f1dbca3ebc9837225c0259d"
         }
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       "failures": []
@@ -923,44 +923,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 10877,
-        "sha256": "43304fea0b61a3a63d595c9de2176e058e75bda3bebc8768918e1fb6b900bb30"
+        "sha256": "b856e7450eaa019f17364c2d99f70ac4a99f313a57984263fede4ed999f0d167"
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       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 10877,
-          "sha256": "43304fea0b61a3a63d595c9de2176e058e75bda3bebc8768918e1fb6b900bb30"
+          "sha256": "b856e7450eaa019f17364c2d99f70ac4a99f313a57984263fede4ed999f0d167"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
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+          "sha256": "332ddbeddd908794fdd2a7e18ee1c9d657e672844f8f65a305f147ffde065133"
         },
         "hf_model": {
           "path": "hf_model:PUBLIC_READER_MAP.md",
           "exists": true,
-          "bytes": 4948,
-          "sha256": "7a7128fdde08f770338c3fe2d473565918c5633f948dec6a78a6b2a67938e91a"
+          "bytes": 5497,
+          "sha256": "332ddbeddd908794fdd2a7e18ee1c9d657e672844f8f65a305f147ffde065133"
         }
       },
       "failures": []
@@ -31319,27 +31319,27 @@
       "local": {
         "path": "repo:PROJECT_STATUS.md",
         "exists": true,
-        "bytes": 14845,
-        "sha256": "128daeed89b672d89b4c422956bf4900ffe8efd54356ec657fb9cf6dcb880ba5"
+        "bytes": 15977,
+        "sha256": "6ce8ca736b0ad2f8fef463c62530294e414cfc0a0e4ed501907fbf1536de0aa9"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 14845,
-          "sha256": "128daeed89b672d89b4c422956bf4900ffe8efd54356ec657fb9cf6dcb880ba5"
+          "bytes": 15977,
+          "sha256": "6ce8ca736b0ad2f8fef463c62530294e414cfc0a0e4ed501907fbf1536de0aa9"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 14845,
-          "sha256": "128daeed89b672d89b4c422956bf4900ffe8efd54356ec657fb9cf6dcb880ba5"
+          "bytes": 15977,
+          "sha256": "6ce8ca736b0ad2f8fef463c62530294e414cfc0a0e4ed501907fbf1536de0aa9"
         },
         "hf_model": {
           "path": "hf_model:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 14845,
-          "sha256": "128daeed89b672d89b4c422956bf4900ffe8efd54356ec657fb9cf6dcb880ba5"
+          "bytes": 15977,
+          "sha256": "6ce8ca736b0ad2f8fef463c62530294e414cfc0a0e4ed501907fbf1536de0aa9"
         }
       },
       "failures": []

metrics/project_status.json

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Project Status",
   "version": "2026-06-20",
   "decision": "public_sample_pipeline_verified_128_enhancement_qwen3_v6_cosmos_comparison",
-  "research_positioning": "A research-engineering study that makes one public Xperience-10M sample episode inspectable, defines embodied-AI tasks over synchronized modalities, records baseline behavior, aligns simple/NN baselines to the selected 128-episode split, compares verified Qwen3-Omni and Cosmos3 packages as early cross-episode diagnostics, and now records a no-new-episode enhancement pack for pushing the current 128-episode suite harder.",
+  "research_positioning": "A research-engineering study with two public evidence lines: Line 1 makes one public Xperience-10M sample episode inspectable and reproducible as a 20-task lab; Line 2 aligns selected 128-episode baselines with verified Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano diagnostics, then records a no-new-episode enhancement pack for pushing the 128-episode suite harder.",
   "scope_boundary": {
     "validated_episode_count": 1,
     "aligned_frames": 5821,
@@ -259,6 +259,8 @@
       "area": "Qwen3-Omni fine-tuning",
       "status": "final_verified_diagnostic_result_json_target_met",
       "evidence": [
+        "QWEN3_OMNI_RUN_LINEAGE.md",
+        "docs/data/qwen3_omni_run_lineage.json",
         "docs/data/omni_finetune_verified_result.json",
         "docs/data/qwen3_v5_v6_comparison.json",
         "results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md",
@@ -268,7 +270,7 @@
         "scripts/omni/audit_verified_omni_package.py",
         "scripts/omni/analyze_qwen3_omni_errors.py"
       ],
-      "readout": "The selected 96/16/16 episode split now has a current v6 rank64/lr5e-5 public-safe held-out package with 34,269 exported windows, 4,032 test predictions, validation/audit summaries, and a public LoRA adapter repo. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics."
+      "readout": "Qwen3-Omni v1-v6 are one selected-128 run lineage, not six project evidence lines. v1-v4 harden the pipeline and record ablations, v5 is the pinned prior multiscale release, and v6 is the current public 20-task Qwen row. The v6 rank64/lr5e-5 public-safe held-out package has 34,269 exported windows, 4,032 test predictions, validation/audit summaries, and a public LoRA adapter repo. JSON validity is 99.90%, meeting the 98% target; transition accuracy is 98.98%, contact accuracy is 81.77%, object micro-F1 is 30.65%, next-action accuracy is 4.31%, and action/subtask metrics remain weak. v6 improves action macro-F1 and contact accuracy versus v5, but v5 remains stronger on JSON validity, subtask, next-action, transition, and object metrics."
     },
     {
       "area": "Cosmos3-Nano future-window package",

metrics/public_reader_map.json

@@ -8,6 +8,11 @@
       "start_here": "PROJECT_BRIEF.md",
       "then_inspect": ["PROJECT_STATUS.md", "RESEARCH_TAKEAWAYS.md"]
     },
+    {
+      "reader_goal": "Understand the two evidence lines",
+      "start_here": "TWO_EVIDENCE_LINES.md",
+      "then_inspect": ["docs/data/two_evidence_lines.json", "docs/data/two_evidence_line_result_summary.json"]
+    },
     {
       "reader_goal": "See the visual public dashboard",
       "start_here": "GitHub Pages dashboard or Hugging Face Space",
@@ -38,6 +43,11 @@
       "start_here": "Homepage radar section",
       "then_inspect": ["docs/data/single_episode_task_model_radar.json", "docs/data/episode128_task_model_radar.json"]
     },
+    {
+      "reader_goal": "Read Qwen3-Omni v1-v6 correctly",
+      "start_here": "QWEN3_OMNI_RUN_LINEAGE.md",
+      "then_inspect": ["docs/data/qwen3_omni_run_lineage.json", "docs/data/qwen3_v5_v6_comparison.json"]
+    },
     {
       "reader_goal": "Find all derived artifacts",
       "start_here": "ARTIFACT_GUIDE.md",
@@ -101,11 +111,11 @@
       "best_use": "Inspecting Qwen3-Omni and Cosmos3 artifacts."
     }
   ],
-  "evidence_layers": [
+  "evidence_views": [
     "Dataset/source boundary",
     "Data contract",
     "Task suite",
-    "Results",
+    "Results by Line 1 and Line 2",
     "Foundation directions",
     "Public-release checks"
   ],
@@ -116,10 +126,15 @@
       "boundary": "Describes one public sample episode, not the full dataset distribution."
     },
     {
-      "claim_type": "128-episode baseline comparison",
+      "claim_type": "128-episode method comparison",
       "public_evidence": ["XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md", "docs/data/xperience10m_128_episode_feature_index.json", "results/omni_finetune/*128*", "docs/data/omni_model_comparison.json"],
       "boundary": "Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream."
     },
+    {
+      "claim_type": "Qwen3-Omni v1-v6 lineage",
+      "public_evidence": ["QWEN3_OMNI_RUN_LINEAGE.md", "docs/data/qwen3_omni_run_lineage.json"],
+      "boundary": "v1-v4 are pipeline and ablation evidence, v5 is the pinned prior release, and v6 is the current public 20-task Qwen row."
+    },
     {
       "claim_type": "Foundation-model track quality",
       "public_evidence": ["Verified Qwen3-Omni and Cosmos3 result packages", "model cards"],

metrics/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:07+00:00",
+  "generated_at_utc": "2026-06-21T11:49:55+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:07:26+00:00"
+          "generated_at_utc": "2026-06-21T11:49:24+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:04:16+00:00"
+          "generated_at_utc": "2026-06-21T11:08:07+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:04:16+00:00"
+          "generated_at_utc": "2026-06-21T11:49:23+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:03:20+00:00"
+          "generated_at_utc": "2026-06-21T11:08:09+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:07:41+00:00"
+          "generated_at_utc": "2026-06-21T11:49:39+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T11:05:04+00:00"
+          "generated_at_utc": "2026-06-21T11:28:34+00:00"
         }
       },
       "failures": {}
@@ -98,7 +98,7 @@
         "Ropedia Xperience-10M Task Suite": 20,
         "Xperience-10M": 166,
         "20-task": 89,
-        "Qwen3-Omni": 241,
+        "Qwen3-Omni": 242,
         "128-episode pilot": 1
       }
     },

metrics/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:07:41+00:00",
+  "generated_at_utc": "2026-06-21T11:49:39+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -255,7 +255,7 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 3049,
+      "file_count": 4519,
       "text_file_count": 1283,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
@@ -266,7 +266,7 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 3533,
+      "file_count": 5281,
       "text_file_count": 1455,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

metrics/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:28:42+00:00",
+  "generated_at_utc": "2026-06-21T11:52:46+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": [
     {

metrics/qwen3_omni_run_lineage.json

@@ -1,6 +1,6 @@
 {
   "current_public_matrix_row": "qwen3_omni_v6_lora",
-  "generated_at_utc": "2026-06-21T10:54:46+00:00",
+  "generated_at_utc": "2026-06-21T11:47:45+00:00",
   "interpretation_rule": "Do not confuse the Qwen run versions with the project evidence lines. The project evidence lines are one public sample episode and selected 128-episode artifacts. Qwen v1-v6 are only the Qwen3-Omni run lineage inside the selected-128 line. The 20-task matrix uses Qwen3-Omni v6 LoRA; v5 remains the pinned prior release; v1-v4 are lineage and ablation evidence.",
   "pinned_prior_release": "v5",
   "related_engineering_artifacts": [

metrics/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:09+00:00",
+  "generated_at_utc": "2026-06-21T11:49:59+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

metrics/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:07+00:00",
+  "generated_at_utc": "2026-06-21T11:49:23+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

metrics/task_method_20_source_audit.json

@@ -2,7 +2,7 @@
   "checked_json_metric_count": 180,
   "failure_count": 0,
   "failures": [],
-  "generated_at_utc": "2026-06-21T11:07:42+00:00",
+  "generated_at_utc": "2026-06-21T11:49:23+00:00",
   "method_task_record_count": 180,
   "rule": "Every scored row that declares a JSON metric source must have the same numeric value under that row's metric_key.",
   "scored_method_task_count": 180,

metrics/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:08:07+00:00",
+  "generated_at_utc": "2026-06-21T11:49:55+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

metrics/two_evidence_line_result_summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-21T10:47:04+00:00",
+  "generated_at_utc": "2026-06-21T11:49:06+00:00",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
   "lines": [
     {
@@ -337,7 +337,7 @@
     "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.",
     "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior."
   },
-  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
   "reading_order": [
     {
       "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",

metrics/two_evidence_lines.json

@@ -2,7 +2,7 @@
   "status": "current",
   "updated_utc": "2026-06-21T00:00:00Z",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
-  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
   "score_formula": "2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.",
   "lines": [
     {

metrics/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T11:07:26+00:00",
+  "generated_at_utc": "2026-06-21T11:49:24+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -80,8 +80,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 118524,
-      "evidence_index": 163802
+      "overview_index": 118530,
+      "evidence_index": 163804
     },
     {
       "name": "project_status_links_json",
@@ -159,9 +159,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 118524,
-      "protocol_index": 159990,
-      "evidence_index": 163802
+      "overview_index": 118530,
+      "protocol_index": 159992,
+      "evidence_index": 163804
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -386,12 +386,12 @@
     },
     {
       "path": "data/project_status.json",
-      "bytes": 23054,
+      "bytes": 23255,
       "top_level_type": "dict"
     },
     {
       "path": "data/public_reader_map.json",
-      "bytes": 5990,
+      "bytes": 6757,
       "top_level_type": "dict"
     },
     {
@@ -536,12 +536,12 @@
     },
     {
       "path": "data/two_evidence_line_result_summary.json",
-      "bytes": 17414,
+      "bytes": 17416,
       "top_level_type": "dict"
     },
     {
       "path": "data/two_evidence_lines.json",
-      "bytes": 7349,
+      "bytes": 7351,
       "top_level_type": "dict"
     },
     {