Refine reader-facing artifact presentation

ARTIFACT_GUIDE.md

@@ -1,37 +1,9 @@
 # Artifact Guide
 
 This guide is the human-readable map for the public Ropedia Xperience-10M task
-suite artifacts. It complements the machine-readable
-[`docs/data/artifact_index.json`](docs/data/artifact_index.json).
-
-The project separates these reading layers:
-
-1. **Project status:** one compact table for first-pass current-state
-   decisions.
-2. **Project scope and roadmap:** what is implemented now, what is setup-stage,
-   what remains gated by multi-episode data access, and how the research
-   path progresses.
-3. **Official source alignment:** what the upstream Xperience-10M dataset card,
-   public sample card, and HF API metadata say, and which parts this repo
-   currently covers.
-4. **Evaluation protocol:** windowing, split policy, per-task metrics, leakage
-   controls, and current limitations.
-5. **Visual evidence:** public figures, charts, modality thumbnails, dimensions,
-   hashes, roles, and source scripts.
-6. **Data contract:** how one public Xperience-10M sample episode becomes
-   aligned model windows and feature blocks.
-7. **Task evidence:** minimal and neural results for the 12 task contracts plus
-   audio contribution variants, and four research-direction
-   extension probes.
-8. **Reproducibility:** public commands, expected outputs, and exact-match
-   evidence for the single-episode pipeline.
-9. **Public project surface:** repo, website, and Hugging Face pages,
-   accessibility semantics, links, and clear project presentation.
-10. **Multi-episode pilot status:** scripts and reports for the selected-episode
-   Qwen3-Omni pilot, with the data-access requirement kept visible.
-11. **Foundation-model selection:** Qwen3-Omni, Cosmos 3, GR00T, OpenVLA,
-   openpi, Gemini Robotics, and lightweight policy candidates separated by
-   task fit and current evidence level.
+suite artifacts. It is organized around what a reader usually wants to do:
+understand the project, inspect the sample episode, compare baselines, read the
+task results, and follow the Qwen3-Omni scale-up path.
 
 ## Start Here
 
@@ -40,45 +12,21 @@ The project separates these reading layers:
 | [`PROJECT_STATUS.md`](PROJECT_STATUS.md) | Gives the fastest current-state table: implemented, in staging, and outside current scope. |
 | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md) | Shows the roadmap from public-sample task development to multi-episode data preparation, Qwen3-Omni LoRA, robustness runs, and larger omni-model extensions. |
 | [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md) | Explains which foundation backbones fit which Xperience-10M objective: Qwen3-Omni first, Cosmos 3 for world modeling, and VLA/policy models after action-target conversion. |
-| [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines the implemented scope, setup-stage artifacts, and multi-episode prerequisites. |
-| [`QUALITY_GATES.md`](QUALITY_GATES.md) | Lists the automated release checks and post-publish verification used to keep the release current. |
-| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Describes whether repo, website, and Hugging Face cards read as one cohesive research project surface. |
 | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and current limitations. |
-| [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Aligns this repo's public dataset wording with the official gated Xperience-10M card, sample card, and HF API metadata. |
-| [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Summarizes official dataset facts, sample-card facts, API-listing notes, and project coverage across repo, website, and HF cards. |
-| [`FIGURE_INDEX.md`](FIGURE_INDEX.md) | Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts. |
-| [`docs/data/brand_assets.json`](docs/data/brand_assets.json) | Catalogs the generated logo system, favicon, app icon, social card, dimensions, hashes, and usage roles. |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
-| [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists project-critical files with existence, size, and stable hashes. |
-| [`docs/data/figure_index.json`](docs/data/figure_index.json) | Machine-readable visual asset index for website and HF mirrors. |
-| [`docs/data/project_status.json`](docs/data/project_status.json) | Machine-readable copy of the project status table. |
-| [`docs/data/research_roadmap.json`](docs/data/research_roadmap.json) | Machine-readable roadmap for website and Hugging Face mirrors. |
-| [`docs/data/foundation_model_plan.json`](docs/data/foundation_model_plan.json) | Machine-readable foundation-model selection matrix for website and Hugging Face mirrors. |
-| [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable source-alignment summary, including gated metadata, sample license/tooling, and current project coverage. |
-| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable source metadata and HF card parity report. |
-| [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | Machine-readable evaluation protocol generated from committed metrics. |
 | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md) | Shows measured current-audio and raw log-mel replacement deltas across the 12 task contracts. |
-| [`docs/data/audio_ablation_summary.json`](docs/data/audio_ablation_summary.json) | Machine-readable audio ablation summary for website and HF mirrors. |
-| [`docs/data/quality_gates.json`](docs/data/quality_gates.json) | Machine-readable release-check summary for website and HF mirrors. |
-| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable public presentation report for website, repo, and Hugging Face pages. |
-| [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json) | Last live GitHub/HF verification after upload. |
-| [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json) | Confirms prepared HF Space, artifact, and model mirrors match the repo for critical data, figures, website HTML, and validator scripts. |
-| [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Summarizes public bundle contents and exclusions for raw data, Python caches, heavy archives, credential text, and public-card figure references. |
-| [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Separates setup identifiers from completed held-out-episode results. |
-| [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json) | Confirms the public 12-task cards use readable task names, modality thumbnails, and the interactive walkthrough/player data contract. |
-| [`docs/data/website_integrity.json`](docs/data/website_integrity.json) | Confirms local site links, anchors, JSON bundles, and referenced images resolve. |
-| [`RENDERED_SITE_CHECK.md`](RENDERED_SITE_CHECK.md) and [`docs/data/rendered_site_check.json`](docs/data/rendered_site_check.json) | Records the latest browser-level page load, tab navigation, walkthrough deep link, player interaction, and console-health check. |
-| [`docs/data/project_packet.json`](docs/data/project_packet.json) | Gives the shortest machine-readable project route. |
-
-## Official Source Alignment
+| [`docs/single_episode_explorer.html`](docs/single_episode_explorer.html) | Gives a static window-level explorer for the public sample episode. |
+| [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Optional detail for readers who need official dataset and access-term context. |
+
+## Dataset Context
 
 | Artifact | What it shows |
 | --- | --- |
-| [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Human-readable summary of the official gated Xperience-10M dataset card, public sample card, API listing snapshot, scale, modalities, access terms, intended uses, and limitations. |
-| [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable copy of the same alignment facts for website and HF mirrors. |
-| [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Generated source-alignment report showing source facts, sample license/tooling, API-listing notes, and current project scope. |
-| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable source metadata and HF card parity report. |
-| [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Regenerates the source-alignment report from committed alignment facts and public card text. |
+| [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Human-readable summary of the official gated Xperience-10M dataset, public sample, modalities, access terms, intended uses, and limitations. |
+| [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable dataset-context bundle for the website and Hub pages. |
+| [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Supporting provenance note for maintainers who want to inspect how public dataset descriptions were checked. |
+| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable provenance record for generated project pages. |
+| [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Maintenance script for refreshing the dataset-context note. |
 
 ## Evaluation Protocol
 
@@ -132,10 +80,10 @@ The project separates these reading layers:
 | Artifact | What it shows |
 | --- | --- |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Public commands, expected outputs, and non-reproducible boundaries are explicit. |
-| [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json) | Machine-readable command matrix for website and HF mirrors. |
+| [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json) | Machine-readable command matrix for the website and Hub pages. |
 | [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | The last exact metric rebuild reproduced the public-sample metrics and matched committed artifacts. |
 
-## Platform Mirrors
+## Public Pages
 
 | Surface | Purpose |
 | --- | --- |
@@ -145,11 +93,9 @@ The project separates these reading layers:
 | [HF baseline model repo](https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines) | Lightweight minimal and neural task-head model files. |
 | [HF collection](https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite) | One grouped landing page for the Space, artifact dataset, and baseline model repo. |
 
-| Public surface artifact | What it keeps aligned |
-| --- | --- |
-| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Human-readable public presentation report for repo, website, and Hugging Face cards. |
-| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable report for SEO/social metadata, accessible tabs, public links, project links, and clear project presentation. |
-| [`scripts/build_public_surface_qa.py`](scripts/build_public_surface_qa.py) | Regenerates the public presentation report before release. |
+The public pages are meant to be the normal reader path. Supporting maintenance
+checks remain in the repo, but they are not required for understanding the
+research project.
 
 ## Scale-Up Readiness
 

PROJECT_README.md

@@ -99,94 +99,20 @@ Current contributions:
 
 ## Current Research Scope
 
-This repo separates implemented single-episode research artifacts from future
-multi-episode held-out model metrics:
+This project is best read as a staged embodied-AI research study:
 
-| Project layer | Evidence | Current scope |
+| Layer | Current scope | Where to start |
 | --- | --- | --- |
-| Official Xperience-10M description | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | aligns public wording with the official gated dataset card, public sample card, and HF API metadata; does not mirror raw data |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | records the same official dataset facts, public sample details, API-listing notes, and project coverage across repo, website, and HF cards |
-| Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts |
-| Brand assets | `docs/assets/brand/`, `docs/favicon.png`, `docs/apple-touch-icon.png`, `scripts/build_brand_assets.py` | applies the generated project logo system across the website, README, HF cards, favicon, and social previews |
-| Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
-| Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | documents the 8,546-dimensional multimodal representation and source coverage |
-| Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and current limitations |
-| Research Takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | summarizes result interpretation from committed metrics and identifies which experiments need held-out episodes |
-| Audio ablation | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | measures whether audio helps each of the 12 task contracts |
-| Research roadmap | `RESEARCH_ROADMAP.md`, `docs/research_roadmap.html`, `docs/data/research_roadmap.json`, `docs/data/research_roadmap_interactive.json` | stages and visualizes the path from public-sample task development to multi-episode held-out evaluation, foundation-model selection, and larger omni/world-model extensions |
-| Foundation-model plan | `FOUNDATION_MODEL_PLAN.md`, `docs/data/foundation_model_plan.json` | keeps Qwen3-Omni as the first trainable pilot, adds Cosmos 3 as the first world-model branch, and tracks OpenVLA/openpi/GR00T policy candidates |
-| 12-task suite | `scripts/episode_task_suite.py`, per-task `metrics.json`, predictions | chronological single-episode split |
-| Single-episode diagnostics | `scripts/single_episode_diagnostics.py`, `results/single_episode_diagnostics/`, `docs/single_episode_explorer.html` | modality ablations, timeline overlay, object-label export, alignment stress tests, and interactive window inspection from one sample episode |
-| Neural heads | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | compact MLP heads, not a foundation model |
-| Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
-| Task surface integrity | `docs/data/task_surface_integrity.json`, `scripts/validate_task_surface.py` | public task cards stay human-readable, thumbnail-backed, and wired to the scrub/play walkthrough storyboard |
-| Rendered website check | `RENDERED_SITE_CHECK.md`, `docs/data/rendered_site_check.json`, `scripts/build_rendered_site_check.py` | records a browser-level load, tab, walkthrough deep-link, control-click, and console-health check |
-| Public project surface | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | presents the repo, website, and Hugging Face cards as one research project surface |
-| Qwen3-Omni | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | the gated full dataset is available for a selected 128-episode pilot before held-out evaluation |
-| Multi-episode pilot status | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | separates setup artifacts, selected-episode preparation, and completed held-out-episode metrics |
-| Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, website HTML, and validator files |
-| Public bundle contents | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | summarizes the public repo and HF bundles, including raw-data exclusion and temporary local-file exclusion |
-| Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `metrics/quality_gates.json`, `scripts/build_quality_gates.py` | one map for automated checks and live post-publish verification; the `metrics/` path is the Hugging Face model-repo mirror |
-| Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
-| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact current-state table for first-pass readers |
-| Citation and metadata | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | code is MIT-scoped; raw-data use follows Xperience-10M terms |
-| Project path | `docs/data/project_packet.json`, website project path section | navigation guide across data, tasks, results, and scale-up status |
-
-Read the full scope note in [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), or
-consume the machine-readable copy at
-[`docs/data/evidence_contract.json`](docs/data/evidence_contract.json).
-The current release package report is at
-[`docs/data/publication_audit.json`](docs/data/publication_audit.json).
-The release-check summary is at
-[`QUALITY_GATES.md`](QUALITY_GATES.md) and
-[`docs/data/quality_gates.json`](docs/data/quality_gates.json).
-The last live-publication verification report is at
-[`docs/data/live_publication_status.json`](docs/data/live_publication_status.json).
-The current prepared-mirror parity report is at
-[`docs/data/mirror_parity.json`](docs/data/mirror_parity.json).
-The current multi-episode pilot status note is at
-[`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json).
-The task-card and walkthrough-storyboard integrity report is at
-[`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json).
-The public presentation report is at
-[`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) and
-[`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json).
-The generated evaluation protocol is at
-[`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) and
-[`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json).
-The generated research takeaways are at
-[`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md) and
-[`docs/data/research_takeaways.json`](docs/data/research_takeaways.json).
-The research roadmap is at
-[`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md) and
-[`docs/data/research_roadmap.json`](docs/data/research_roadmap.json).
-The foundation-model selection plan is at
-[`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md) and
-[`docs/data/foundation_model_plan.json`](docs/data/foundation_model_plan.json).
-The source-of-truth artifact index is at
-[`docs/data/artifact_index.json`](docs/data/artifact_index.json).
-For a human-readable artifact map, use
-[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md).
-For reproduction commands and expected outputs, use
-[`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) and
-[`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json).
-Project citation and machine-readable metadata live in
-[`CITATION.cff`](CITATION.cff), [`codemeta.json`](codemeta.json), and
-[`docs/data/project_manifest.json`](docs/data/project_manifest.json).
-The upstream dataset-card alignment note is
-[`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md),
-with a machine-readable copy at
-[`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json).
-The generated source-alignment note is at
-[`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) and
-[`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json).
-The generated figure index is at
-[`FIGURE_INDEX.md`](FIGURE_INDEX.md) and
-[`docs/data/figure_index.json`](docs/data/figure_index.json).
-The project logo system is packaged by
-[`scripts/build_brand_assets.py`](scripts/build_brand_assets.py), stored under
-[`docs/assets/brand/`](docs/assets/brand/), and indexed in
-[`docs/data/brand_assets.json`](docs/data/brand_assets.json).
+| Data understanding | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned windows, and an 8,546-dimensional multimodal representation. | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md) |
+| Task suite | Twelve human-readable tasks cover action, procedure, contact, object, language, retrieval, reconstruction, order, and synchronization questions. | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json) |
+| Baselines | Minimal heads and compact PyTorch MLP heads provide a first controlled comparison on the same chronological split. | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/) |
+| Diagnostics | Audio contribution, modality ablations, timeline overlays, object labels, and alignment stress tests show which signals are useful and which tasks remain hard. | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md), [`docs/single_episode_explorer.html`](docs/single_episode_explorer.html) |
+| Scale-up | A selected 128-episode Qwen3-Omni LoRA pilot is being prepared from the gated dataset; held-out model metrics will be added only after training and evaluation finish. | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`results/omni_finetune/DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md) |
+
+Detailed dataset notes, reproduction checks, and generated JSON reports are
+included for readers who want to inspect the implementation, but they are
+supporting materials rather than the main reading path. Use
+[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) when you want the full file map.
 
 ## Project Status
 
@@ -200,10 +126,9 @@ They give the current research state in one compact table:
 | Public-sample pipeline | Verified on one public sample episode: 5,821 frames, 1,161 windows, 8,546 dimensions |
 | 12-task suite | Verified minimal baselines with committed metrics, predictions, and manifests |
 | Neural heads | Verified compact PyTorch MLP heads over the same task contracts and chronological splits |
-| Official dataset wording | Verified against the public `ropedia-ai/xperience-10m` dataset card/API metadata |
-| Source alignment | Source facts, sample details, API-listing notes, and project coverage are consistent across repo, website, and HF cards |
+| Dataset context | Official Xperience-10M links, sample-vs-gated-data boundary, modality coverage, and redistribution policy are documented |
 | Evaluation protocol | Verified generated protocol for windowing, split policy, leakage controls, and per-task metrics |
-| Website and HF mirrors | Verified by website reference reports, public presentation reports, mirror parity, and live-publication checks; the public dashboard uses six top-level tabs, including an explicit Directions tab, plus subsection tabs for dataset, task-suite, method, result, direction, and resource views |
+| Website and Hub pages | Public dashboard, Hugging Face Space, artifact dataset, baseline model repo, and collection use the same project framing and links |
 | Qwen3-Omni multi-episode pilot | The gated Xperience-10M dataset is available for selected 128-episode preparation, with full metrics pending completed preprocessing, training, and held-out evaluation |
 | Raw Xperience-10M data / full Qwen weights | Not redistributed |
 
@@ -213,33 +138,31 @@ If you are reading the project cold, open these in order:
 
 | Step | Question | Primary artifacts | What should be true |
 | --- | --- | --- | --- |
-| 1 | What has been implemented? | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md), [`docs/data/project_status.json`](docs/data/project_status.json), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/figure_index.json`](docs/data/figure_index.json) | Single-episode task engineering, visual assets, mirrors, and scale-up status are summarized for first-pass reading. |
-| 2 | What is the official upstream dataset? | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md), [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json), [official HF dataset](https://huggingface.co/datasets/ropedia-ai/xperience-10m) | The full dataset is described as a gated large-scale 4D multimodal egocentric source; this repo validates only one public sample episode. |
-| 3 | Are source facts consistently presented? | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md), [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json), [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Repo, website, and HF cards use the same full-dataset facts, sample-card facts, API-listing notes, and project coverage. |
-| 4 | How exactly are tasks evaluated? | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md), [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json), [`scripts/build_evaluation_protocol.py`](scripts/build_evaluation_protocol.py) | The window unit, chronological split, leakage controls, task metrics, and current limitations are explicit. |
-| 5 | What do the current results mean? | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | The takeaways are generated from committed metrics and identify which signals are ready for larger held-out experiments. |
-| 6 | What is the research roadmap? | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`docs/data/research_roadmap.json`](docs/data/research_roadmap.json), [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md) | The roadmap connects public-sample task development to multi-episode data preparation, Qwen3-Omni LoRA, foundation-model selection, robustness runs, and larger omni/world-model extensions. |
-| 7 | Which foundation model comes next? | [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`docs/data/foundation_model_plan.json`](docs/data/foundation_model_plan.json) | Qwen3-Omni remains the first held-out LoRA baseline; Cosmos 3 is the first world-model branch; OpenVLA/openpi/GR00T wait for explicit action targets. |
-| 8 | How do I reproduce it? | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md), [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json), [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | Public commands, expected outputs, and the latest exact-match reproduction record are explicit. |
-| 9 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,546-dimensional multimodal window with synchronized video, audio, sensor, and language signals. |
-| 10 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
-| 11 | Is the website self-consistent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, tab routing, JSON data, and referenced images are checked before publishing. |
-| 12 | What is still pending? | [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The multi-episode Qwen3-Omni run is prepared at the episode-selection level; final model metrics require completed preprocessing, training, and held-out evaluation. |
+| 1 | What is this project? | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md), [dashboard](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/) | A public-sample Xperience-10M research project with 12 tasks, baselines, and a scale-up plan. |
+| 2 | What data is used? | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md), [official HF dataset](https://huggingface.co/datasets/ropedia-ai/xperience-10m), [sample HF dataset](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample) | The implemented suite uses one public sample episode; the gated dataset is reserved for selected multi-episode training. |
+| 3 | What does one model input contain? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | Each window is an aligned multimodal unit with video, audio, depth, pose/SLAM, mocap, IMU, calibration, and language-derived signals. |
+| 4 | What are the 12 tasks? | [`results/episode_task_suite/task_walkthroughs/`](results/episode_task_suite/task_walkthroughs/), [`docs/data/task_walkthroughs.json`](docs/data/task_walkthroughs.json) | Every task has a human-readable name, case study, input, process modules, output, metric, and limitation. |
+| 5 | How are tasks evaluated? | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md), [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | The window unit, chronological split, leakage controls, task metrics, and current limitations are explicit. |
+| 6 | What do the current results mean? | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Current metrics describe sample-level task behavior and identify which signals need larger held-out experiments. |
+| 7 | Which models are implemented? | [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json), [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/), [HF baseline repo](https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines) | Each task has minimal and neural-head evidence over the same feature windows. |
+| 8 | What research directions does this support? | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`docs/data/research_directions.json`](docs/data/research_directions.json), [`docs/data/research_direction_extensions.json`](docs/data/research_direction_extensions.json) | The tasks are mapped to human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling. |
+| 9 | Which foundation model comes next? | [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`docs/data/foundation_model_plan.json`](docs/data/foundation_model_plan.json) | Qwen3-Omni is the first held-out LoRA baseline; Cosmos 3 is the first world-model branch; policy models wait for explicit action targets. |
+| 10 | How do I reproduce it? | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md), [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | Public commands and expected outputs are documented for the sample-episode task suite. |
+| 11 | What is still pending? | [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md) | Multi-episode Qwen3-Omni model quality will be reported after preprocessing, training, and held-out evaluation complete. |
 
 The machine-readable project packet is
 [`docs/data/project_packet.json`](docs/data/project_packet.json).
 
-## Artifact Index
+## Supporting Files
 
-[`docs/data/artifact_index.json`](docs/data/artifact_index.json) is the compact
-project artifact map for the repo. It lists the core supporting artifacts, whether each exists,
-its size, and a SHA-256 hash for stable files. Volatile generated files, such as
-the publication package report with a run timestamp, are marked so readers know they
-are checked for presence and size rather than treated as fixed hashes.
+[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) is the human-readable map for readers
+who want to inspect the project files after the first pass. It groups the main
+briefs, task outputs, baseline results, visual assets, data notes, and
+scale-up documents.
 
-[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) is the human-readable companion. It
-groups the same project evidence into start-here files, data-contract files,
-task-evidence files, platform mirrors, and scale-up status artifacts.
+[`docs/data/artifact_index.json`](docs/data/artifact_index.json) is the compact
+machine-readable companion used by the website and Hugging Face artifact
+dataset.
 
 ## Evaluation Protocol
 
@@ -256,41 +179,20 @@ generated from committed metric artifacts. They define:
   audio-visual learning, pixel-depth reconstruction, and real held-out
   multi-episode Qwen3-Omni quality.
 
-## Official Dataset Alignment
+## Dataset Context
 
 The official [`ropedia-ai/xperience-10m`](https://huggingface.co/datasets/ropedia-ai/xperience-10m)
-card describes Xperience-10M as a large-scale gated egocentric multimodal
-dataset for embodied AI, robotics, world models, and spatial intelligence. Its
-public metadata lists video classification, image-to-text, depth estimation,
-and robotics task categories; 3D, audio, and video modalities; English
-language; `other` license; and manually reviewed non-commercial access.
-
-At full scale, the official card describes about 10 million experience units,
-about 10,000 hours, six RGB streams per episode, audio, stereo depth, camera
-pose/SLAM, hand and full-body mocap, IMU, captions, metadata, and calibration.
-The card also reports headline counts such as billions of RGB/depth/IMU records
-and large caption/object annotations. The live HF page/API separately shows a
-31.9 TB currently hosted file-size display; this is kept separate from the
-card's about-1PB full-scale storage statement. This repo records those upstream facts 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).
+dataset is a gated large-scale egocentric multimodal dataset for embodied AI,
+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.
 
-The current HF API snapshot for the gated dataset reports commit
-`ce943cf271a758b60240084892d05cf6dc12dd90`, last modified
-`2026-04-21T05:03:45.000Z`, manual gating, and a metadata file listing with
-803 session folders and 12,103 episode folders carrying `annotation.hdf5`.
-Those counts are upstream listing metadata only; they are not local downloads,
-not redistributed files, and not evidence of model quality in this repo.
+This project keeps those layers separate: the public sample supports the
+current 12-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.
 
-The public sample repo,
-[`ropedia-ai/xperience-10m-sample`](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample),
-is separately documented as `Xperience-10M-Sample` with sample metadata,
-`cc-by-nc-4.0` license, HOMIE Toolkit usage, and Rerun 0.29.0 `.rrd`
-visualization. This project preserves that distinction: the sample powers the
-current 5,821-frame task suite, while the full gated dataset is the source for
-the selected 128-episode held-out multi-episode pilot now in preparation.
-
-This repo's current verified subset is much smaller and intentionally explicit:
+The current verified public-sample subset is:
 
 - one public sample episode, 5,821 frames, and 1,161 aligned windows,
 - raw sample files with six MP4 video streams and audio streams,
@@ -299,15 +201,11 @@ This repo's current verified subset is much smaller and intentionally explicit:
 - an 8,546-dimensional baseline representation using video, audio, depth,
   pose/SLAM, mocap, IMU, calibration, and language-derived signals.
 
-The same alignment note also records what is outside the current implemented subset: real
-audio-visual learning, caption generation, pixel-depth estimation, SLAM
-estimation, neural rendering, policy learning, cross-episode generalization,
-and real held-out multi-episode Qwen3-Omni model quality.
-It also preserves the official responsible-use scope: the open-source
-dataset is limited in diversity and showcase/production quality, and it should
-not be used for identity recognition, re-identification, biometric profiling,
-surveillance, sensitive attribute inference, or safety-critical deployment
-without appropriate safeguards.
+Detailed dataset notes are available in
+[`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md)
+for readers who need the full upstream-card and access-term context. The
+practical boundary is simple: current results come from the public sample, and
+multi-episode model quality is pending the selected held-out pilot.
 
 Start with the visual dashboard:
 
@@ -323,22 +221,14 @@ Hugging Face Space app:
 | --- | --- | --- |
 | Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Gives a one-table current project summary before reading the full artifact trail |
 | Data contract | `windows.csv`, `feature_manifest.json`, modality manifests | Confirms what each sample window contains before modeling |
-| Official dataset alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Keeps public descriptions aligned with the official gated dataset card |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Summarizes official dataset facts, sample-card facts, API-listing notes, and project coverage across repo, website, and HF cards |
-| Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json` | Indexes public figures, charts, modality thumbnails, dimensions, hashes, and source scripts |
-| Brand assets | `docs/data/brand_assets.json`, `docs/assets/brand/` | Indexes the generated logo, favicon, README/HF card image, app icon, and social preview |
+| Dataset context | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, official dataset links | Explains the official dataset, public sample, modalities, access boundary, and what this repo uses |
+| Visual assets | `FIGURE_INDEX.md`, `docs/assets/` | Shows the task-suite graphic, modality thumbnails, pipeline diagrams, charts, and logo assets |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and current limitations |
-| Task surface integrity | `docs/data/task_surface_integrity.json` | Checks the public task cards, readable task names, representative modality thumbnails, and interactive walkthrough storyboard |
-| Rendered website check | `RENDERED_SITE_CHECK.md`, `docs/data/rendered_site_check.json` | Records the browser-level page load, tab navigation, walkthrough deep link, player interaction, and console-health result |
 | Research roadmap | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | Shows the path from sample-level task development to multi-episode and larger omni-model work |
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and inspectable |
 | Neural heads | PyTorch MLP classifiers/regressors under `neural_mlp/` | Checks whether nonlinear heads improve each task without changing features |
 | Evidence | metrics, predictions, confusion matrices, diagrams, dashboard | Makes the single-episode task development inspectable without rerunning first |
-| Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Shows the automated and post-publish checks used to keep the public release current |
-| Live publication status | `docs/data/live_publication_status.json` | Records the last live GitHub Pages, GitHub raw, and Hugging Face mirror verification |
-| Public bundle contents | `docs/data/publication_audit.json` | Summarizes public bundle contents, raw Xperience-10M data exclusion, cache exclusion, archive exclusion, credential-text checks, and public-card figure references |
-| Artifact index | `docs/data/artifact_index.json` | Gives readers a compact source-of-truth catalog with stable hashes |
-| Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into research-project layers |
+| Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into research-project layers after the first-pass overview |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
 | Citation metadata | `CITATION.cff`, `codemeta.json`, `LICENSE` | Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms |
 
@@ -421,7 +311,7 @@ scripts/
   export_modality_atlas_assets.py   # exports responsive modality-card assets
   render_overview_figures.py        # renders polished pipeline/architecture PNGs
   build_brand_assets.py             # derives logo sizes, favicon, social card
-  build_artifact_index.py           # builds the source-of-truth artifact index
+  build_artifact_index.py           # builds the compact artifact guide data
   build_quality_gates.py            # builds release checks
   validate_mirror_parity.py         # checks prepared GitHub/HF mirror file parity
   validate_scope_claims.py          # keeps Qwen3-Omni setup and result states separate
@@ -454,7 +344,6 @@ docs/
   data/artifact_index.json          # compact project-artifact catalog
   data/live_publication_status.json # live GitHub/HF publication verification
   data/quality_gates.json           # machine-readable release checks
-  data/publication_audit.json       # machine-readable public bundle report
   data/task_surface_integrity.json  # machine-readable task-card/storyboard integrity check
   data/website_integrity.json       # machine-readable website integrity check
   data/project_manifest.json        # machine-readable public-surface metadata

PROJECT_STATUS.md

@@ -24,19 +24,18 @@ scale-up readiness; it is not presented as final full-dataset model quality.
 | Research roadmap | Current | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | The roadmap connects public-sample task development to 128-episode data preparation, Qwen3-Omni LoRA, foundation-model selection, robustness runs, and larger omni/world-model extensions. |
 | Foundation-model plan | Current | `FOUNDATION_MODEL_PLAN.md`, `docs/data/foundation_model_plan.json` | Qwen3-Omni remains the first trainable held-out LoRA baseline; Cosmos 3 is added as the first world-model/action-generation branch; OpenVLA/openpi/GR00T are policy candidates after action targets are explicit. |
 | 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. |
-| Official dataset wording | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage. |
-| Source alignment | Verified | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source facts, sample details, API-listing notes, and project coverage are checked across repo docs, website, and HF cards. |
-| Website and HF mirrors | Verified | `docs/data/website_integrity.json`, `docs/data/rendered_site_check.json`, `docs/data/mirror_parity.json`, `docs/data/live_publication_status.json` | Local website links/assets pass, the rendered walkthrough flow has a browser-level check, prepared mirrors match, and public GitHub/HF URLs have been verified after upload. |
-| Public bundle contents | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles exclude raw data, caches, heavy archives, credential text, and outdated public-card copy. |
+| 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. |
+| Public dashboard and Hub pages | Verified | GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni LoRA repo | Readers can move between the website, code, derived artifacts, baseline weights, and Qwen3-Omni pilot status without needing internal setup details. |
+| Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
 | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
 | Qwen3-Omni fine-tuning | Data preparation; full metrics pending | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | The gated full dataset is available for a selected 128-episode pilot; final held-out metrics require completed preprocessing, manifest construction, training, and evaluation. |
 | 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
 
-1. Read this status file and `EVIDENCE_CONTRACT.md` to establish the current
-   project scope.
-2. Open `docs/data/project_packet.json` for the machine-readable project path.
+1. Read this status file to establish the current project scope.
+2. Open the visual dashboard for the fastest overview of data, tasks,
+   directions, and scale-up status.
 3. Inspect `RESEARCH_TAKEAWAYS.md` and
    `docs/data/research_takeaways.json` for the generated result interpretation.
 4. Inspect `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json` for
@@ -49,9 +48,8 @@ scale-up readiness; it is not presented as final full-dataset model quality.
    whether audio helps the current task suite.
 8. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage
    controls.
-9. Inspect `SOURCE_ALIGNMENT_AUDIT.md` and
-   `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` before judging dataset
-   wording.
+9. Inspect `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` only if you need the
+   detailed upstream dataset-card context.
 10. Inspect `results/omni_finetune/DATA_ACCESS_STATUS.md` before judging
    Qwen3-Omni scale-up status.
 

README.md

@@ -60,9 +60,18 @@ run reports, and upload-ready LoRA artifacts. It documents the training path;
 final held-out model-quality metrics remain pending completed multi-episode
 training and evaluation.
 
-Useful entry points:
+## What To Open First
 
-Related Hub repositories:
+| Reader goal | Start here |
+| --- | --- |
+| Understand the whole project | `PROJECT_BRIEF.md`, `PROJECT_STATUS.md`, `PROJECT_README.md` |
+| Inspect the 12 task results | `results/episode_task_suite/summary_report.json`, `RESEARCH_TAKEAWAYS.md` |
+| Compare baseline model outputs | `results/episode_task_suite/`, `results/episode_task_suite/neural_mlp/` |
+| Explore one episode visually | `docs/single_episode_explorer.html`, `docs/research_roadmap.html` |
+| Understand audio's contribution | `results/audio_ablation/AUDIO_ABLATION_SUMMARY.md` |
+| Follow the Qwen3-Omni scale-up path | `FOUNDATION_MODEL_PLAN.md`, `results/omni_finetune/DATA_ACCESS_STATUS.md` |
+
+## Related Hub Repositories
 
 | Repository | Role |
 | --- | --- |
@@ -72,45 +81,17 @@ Related Hub repositories:
 | [`ropedia-ai/xperience-10m`](https://huggingface.co/datasets/ropedia-ai/xperience-10m) | Official gated upstream Xperience-10M dataset |
 | [`ropedia-ai/xperience-10m-sample`](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample) | Public sample episode source |
 
-| File | Purpose |
-| --- | --- |
-| `PROJECT_README.md` | Full GitHub-style project README mirrored into this artifact repo |
-| `PROJECT_BRIEF.md` / `docs/data/project_brief.json` | Fast project overview |
-| `PROJECT_STATUS.md` / `docs/data/project_status.json` | Current state and scope |
-| `QUALITY_GATES.md` / `docs/data/quality_gates.json` | Release checks and live-publication verification map |
-| `EVALUATION_PROTOCOL.md` / `docs/data/evaluation_protocol.json` | Window unit, split, leakage controls, and metrics |
-| `RESEARCH_TAKEAWAYS.md` / `docs/data/research_takeaways.json` | Research Takeaways generated from committed metrics |
-| `PUBLIC_SURFACE_QA.md` / `docs/data/public_surface_qa.json` | Public project surface across GitHub, website, and Hugging Face |
-| `FOUNDATION_MODEL_PLAN.md` / `docs/data/foundation_model_plan.json` | Backbone selection plan: Qwen3-Omni first, Cosmos 3 world-model branch, OpenVLA/openpi/GR00T policy candidates |
-| `results/episode_task_suite/summary_report.json` | 12-task minimal and neural metric rollup |
-| `results/episode_task_suite/feature_manifest.json` | Technical source map for the current modality inputs |
-| `results/audio_ablation/AUDIO_ABLATION_SUMMARY.md` | Human-readable audio contribution and alternate-representation report |
-| `results/audio_ablation/audio_ablation_summary.json` | Per-task audio/no-audio ablation deltas |
-| `results/audio_ablation/raw_logmel_fisheye_cam0_sr16000_mels64_fft512_hop160.npz` | Derived audio-window features; raw audio itself is not redistributed |
-| `docs/single_episode_explorer.html` | Static window-level explorer |
-| `docs/research_roadmap.html` | Interactive roadmap for four research tracks and scale-up |
-
-The mirrored public package also includes `docs/data/figure_index.json`,
-`docs/data/brand_assets.json`, `scripts/build_brand_assets.py`,
-`scripts/build_research_takeaways.py`, `scripts/audio_ablation_and_raw_upgrade.py`,
-the task-first 12-task map, the interactive scrub/play walkthrough storyboard,
-website HTML, `docs/data/task_surface_integrity.json`,
-`docs/data/rendered_site_check.json`, `docs/data/audio_ablation_summary.json`,
-`docs/data/foundation_model_plan.json`, and `docs/data/public_surface_qa.json`.
+## Dataset Boundary
 
-The official upstream full dataset is
+The official full dataset is
 [`ropedia-ai/xperience-10m`](https://huggingface.co/datasets/ropedia-ai/xperience-10m),
-and the public sample is
+and the public sample source is
 [`ropedia-ai/xperience-10m-sample`](https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample).
-Dataset access and use remain governed by the official Ropedia/Xperience-10M
-terms.
+This artifact repo contains derived research outputs from the sample episode and
+selected-pilot preparation files. Raw Xperience-10M videos, annotations, RRD
+visualizations, gated data, and full Qwen weights are not redistributed.
 
-Source-alignment files are included as
-`docs/data/xperience10m_dataset_card_alignment.json`,
-`docs/data/source_alignment_audit.json`,
-`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, and `SOURCE_ALIGNMENT_AUDIT.md`.
-They record the public HF source facts used by this project: live HF file-size
-display `31.9 TB`, official about-1PB full-scale storage statement, public
-sample license `cc-by-nc-4.0`, HOMIE Toolkit usage, Rerun 0.29.0 `.rrd`
-visualization, 12,103 episode folders observed as upstream metadata only, and
-the official limited in diversity / showcase-quality note.
+For readers who need source provenance, the detailed dataset-card alignment
+notes are included in `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
+`SOURCE_ALIGNMENT_AUDIT.md`. Most readers can start with the dashboard,
+task results, and related model repositories above.

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T16:49:59+00:00",
+  "generated_at_utc": "2026-06-04T18:19:53+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 101,
@@ -443,27 +443,27 @@
       "local": {
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
-        "bytes": 7289,
-        "sha256": "cd84a10ddbfb13943820c8e6113ca377a9ab1215f45df2b3384e752cbcac190b"
+        "bytes": 7237,
+        "sha256": "3cfdb28005125cb509a279b5a978e9ed3054481564dc026f62d99bfc9af2e206"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
-          "bytes": 7289,
-          "sha256": "cd84a10ddbfb13943820c8e6113ca377a9ab1215f45df2b3384e752cbcac190b"
+          "bytes": 7237,
+          "sha256": "3cfdb28005125cb509a279b5a978e9ed3054481564dc026f62d99bfc9af2e206"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
-          "bytes": 7289,
-          "sha256": "cd84a10ddbfb13943820c8e6113ca377a9ab1215f45df2b3384e752cbcac190b"
+          "bytes": 7237,
+          "sha256": "3cfdb28005125cb509a279b5a978e9ed3054481564dc026f62d99bfc9af2e206"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
-          "bytes": 7289,
-          "sha256": "cd84a10ddbfb13943820c8e6113ca377a9ab1215f45df2b3384e752cbcac190b"
+          "bytes": 7237,
+          "sha256": "3cfdb28005125cb509a279b5a978e9ed3054481564dc026f62d99bfc9af2e206"
         }
       },
       "failures": []
@@ -939,27 +939,27 @@
       "local": {
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
-        "bytes": 14923,
-        "sha256": "23a03838502e8d43ee2b41e313634ec46a4b329792883aa12fc03b044c4e9b0e"
+        "bytes": 14891,
+        "sha256": "6f0a27fd872e66422a9007a5f51e6f0db3855441cf8718ad25b40470c885bd1a"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
-          "bytes": 14923,
-          "sha256": "23a03838502e8d43ee2b41e313634ec46a4b329792883aa12fc03b044c4e9b0e"
+          "bytes": 14891,
+          "sha256": "6f0a27fd872e66422a9007a5f51e6f0db3855441cf8718ad25b40470c885bd1a"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
-          "bytes": 14923,
-          "sha256": "23a03838502e8d43ee2b41e313634ec46a4b329792883aa12fc03b044c4e9b0e"
+          "bytes": 14891,
+          "sha256": "6f0a27fd872e66422a9007a5f51e6f0db3855441cf8718ad25b40470c885bd1a"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
-          "bytes": 14923,
-          "sha256": "23a03838502e8d43ee2b41e313634ec46a4b329792883aa12fc03b044c4e9b0e"
+          "bytes": 14891,
+          "sha256": "6f0a27fd872e66422a9007a5f51e6f0db3855441cf8718ad25b40470c885bd1a"
         }
       },
       "failures": []
@@ -2017,21 +2017,21 @@
       "local": {
         "path": "repo:scripts/validate_publication_package.py",
         "exists": true,
-        "bytes": 19267,
-        "sha256": "0db7f9a376ac4dfb1bb083a5f35051e2cb18a0d9db5788e7d707d8dc084ad231"
+        "bytes": 17125,
+        "sha256": "51febee7a4caa4e3cbb3833c0c13ac502bd7106fdb3df06e868ed00bc8f9fd9e"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 19267,
-          "sha256": "0db7f9a376ac4dfb1bb083a5f35051e2cb18a0d9db5788e7d707d8dc084ad231"
+          "bytes": 17125,
+          "sha256": "51febee7a4caa4e3cbb3833c0c13ac502bd7106fdb3df06e868ed00bc8f9fd9e"
         },
         "hf_model": {
           "path": "hf_model:scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 19267,
-          "sha256": "0db7f9a376ac4dfb1bb083a5f35051e2cb18a0d9db5788e7d707d8dc084ad231"
+          "bytes": 17125,
+          "sha256": "51febee7a4caa4e3cbb3833c0c13ac502bd7106fdb3df06e868ed00bc8f9fd9e"
         }
       },
       "failures": []
@@ -2117,21 +2117,21 @@
       "local": {
         "path": "repo:scripts/validate_website_integrity.py",
         "exists": true,
-        "bytes": 24396,
-        "sha256": "3b4af15250f79827e3010e93636836c3a0c768ba0188a9a7e55e439233988c72"
+        "bytes": 24481,
+        "sha256": "31d85a4674e8005a916e759d820178287e297e0ec08774fe3a70aa3b61b07cf7"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/validate_website_integrity.py",
           "exists": true,
-          "bytes": 24396,
-          "sha256": "3b4af15250f79827e3010e93636836c3a0c768ba0188a9a7e55e439233988c72"
+          "bytes": 24481,
+          "sha256": "31d85a4674e8005a916e759d820178287e297e0ec08774fe3a70aa3b61b07cf7"
         },
         "hf_model": {
           "path": "hf_model:scripts/validate_website_integrity.py",
           "exists": true,
-          "bytes": 24396,
-          "sha256": "3b4af15250f79827e3010e93636836c3a0c768ba0188a9a7e55e439233988c72"
+          "bytes": 24481,
+          "sha256": "31d85a4674e8005a916e759d820178287e297e0ec08774fe3a70aa3b61b07cf7"
         }
       },
       "failures": []
@@ -2217,21 +2217,21 @@
       "local": {
         "path": "repo:docs/index.html",
         "exists": true,
-        "bytes": 173425,
-        "sha256": "26ac1e7976c11f21f4fd2f3623ac8d339a57b511f6cc8f5e68300062e9def2b0"
+        "bytes": 172271,
+        "sha256": "a7858a5c881ef2d4dbc8ac2a7d2aaff700ff9e76afe4b3b27a9523590f33089b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:index.html",
           "exists": true,
-          "bytes": 173425,
-          "sha256": "26ac1e7976c11f21f4fd2f3623ac8d339a57b511f6cc8f5e68300062e9def2b0"
+          "bytes": 172271,
+          "sha256": "a7858a5c881ef2d4dbc8ac2a7d2aaff700ff9e76afe4b3b27a9523590f33089b"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/index.html",
           "exists": true,
-          "bytes": 173425,
-          "sha256": "26ac1e7976c11f21f4fd2f3623ac8d339a57b511f6cc8f5e68300062e9def2b0"
+          "bytes": 172271,
+          "sha256": "a7858a5c881ef2d4dbc8ac2a7d2aaff700ff9e76afe4b3b27a9523590f33089b"
         }
       },
       "failures": []
@@ -2968,27 +2968,27 @@
       "local": {
         "path": "repo:PROJECT_STATUS.md",
         "exists": true,
-        "bytes": 7138,
-        "sha256": "67d85a198ee90082e47d790bd0f4d9dafbc97625cd39b17cc94b9785ec25104a"
+        "bytes": 6648,
+        "sha256": "b052c725472f1d59232918a4d5b0f3668534c1e25e24189307159f5a0157d58f"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 7138,
-          "sha256": "67d85a198ee90082e47d790bd0f4d9dafbc97625cd39b17cc94b9785ec25104a"
+          "bytes": 6648,
+          "sha256": "b052c725472f1d59232918a4d5b0f3668534c1e25e24189307159f5a0157d58f"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 7138,
-          "sha256": "67d85a198ee90082e47d790bd0f4d9dafbc97625cd39b17cc94b9785ec25104a"
+          "bytes": 6648,
+          "sha256": "b052c725472f1d59232918a4d5b0f3668534c1e25e24189307159f5a0157d58f"
         },
         "hf_model": {
           "path": "hf_model:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 7138,
-          "sha256": "67d85a198ee90082e47d790bd0f4d9dafbc97625cd39b17cc94b9785ec25104a"
+          "bytes": 6648,
+          "sha256": "b052c725472f1d59232918a4d5b0f3668534c1e25e24189307159f5a0157d58f"
         }
       },
       "failures": []

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T16:49:00+00:00",
+  "generated_at_utc": "2026-06-04T18:19:53+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -141,7 +141,7 @@
       "surface": "github_repo",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 20,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     },
@@ -149,7 +149,7 @@
       "surface": "hf_space_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 20,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     },
@@ -157,7 +157,7 @@
       "surface": "hf_artifact_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 19,
+      "required_marker_count": 7,
       "missing_markers": [],
       "status": "pass"
     },
@@ -165,7 +165,7 @@
       "surface": "hf_artifact_bundle",
       "path": "PROJECT_README.md",
       "exists": true,
-      "required_marker_count": 20,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     },
@@ -173,7 +173,7 @@
       "surface": "hf_model_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 20,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     }
@@ -215,11 +215,11 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 640,
-      "text_file_count": 516,
+      "file_count": 643,
+      "text_file_count": 518,
       "largest_file": {
-        "path": "artifacts/episode_task_suite/modality_reconstruction/predictions.npz",
-        "bytes": 55702978
+        "path": "pytorch_model.bin",
+        "bytes": 93495480
       },
       "violations": []
     }

docs/data/website_integrity.json

@@ -1,12 +1,12 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T16:48:59+00:00",
+  "generated_at_utc": "2026-06-04T18:19:53+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
-    "local_references": 144,
-    "external_reference_count": 91,
+    "local_references": 121,
+    "external_reference_count": 104,
     "json_files": 32,
     "image_assets_referenced": 22,
     "failure_count": 0
@@ -75,7 +75,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 67296,
-      "evidence_index": 84411
+      "evidence_index": 84507
     },
     {
       "name": "project_status_links_json",
@@ -87,7 +87,7 @@
       "name": "roadmap_links_json",
       "status": "pass",
       "reason": "The website should expose the machine-readable research roadmap.",
-      "marker_count": 2
+      "marker_count": 3
     },
     {
       "name": "interactive_roadmap_page_linked",
@@ -116,10 +116,10 @@
       "page_exists": true
     },
     {
-      "name": "rendered_site_check_links_json",
+      "name": "reader_resources_link_qwen_status",
       "status": "pass",
-      "reason": "The website should expose the browser-level rendered website check.",
-      "marker_count": 1
+      "reason": "The website should expose the Qwen3-Omni scale-up status.",
+      "marker_count": 10
     },
     {
       "name": "roadmap_html_matches_json_phases",
@@ -150,8 +150,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 67296,
-      "protocol_index": 81266,
-      "evidence_index": 84411
+      "protocol_index": 81270,
+      "evidence_index": 84507
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -160,10 +160,10 @@
       "marker_count": 1
     },
     {
-      "name": "figure_index_links_json",
+      "name": "visual_figures_link_task_suite_image",
       "status": "pass",
-      "reason": "The website should expose the machine-readable figure index.",
-      "marker_count": 2
+      "reason": "The website should expose the main task-suite figure.",
+      "marker_count": 3
     },
     {
       "name": "suite_task_map_precedes_modality_atlas",
@@ -179,21 +179,21 @@
       "card_count": 7
     },
     {
-      "name": "dataset_card_section_mentions_sample_license",
+      "name": "dataset_card_section_links_official_dataset",
       "status": "pass",
-      "reason": "The dataset-card section should preserve the public sample card license.",
-      "marker_count": 1
+      "reason": "The dataset-card section should link the official gated dataset.",
+      "marker_count": 2
     },
     {
-      "name": "dataset_card_section_mentions_api_episode_listing",
+      "name": "dataset_card_section_links_public_sample",
       "status": "pass",
-      "reason": "The dataset-card section should distinguish HF API listing metadata from local data possession.",
+      "reason": "The dataset-card section should link the public sample dataset used here.",
       "marker_count": 1
     },
     {
-      "name": "dataset_card_section_links_source_alignment_audit",
+      "name": "dataset_card_section_states_raw_data_boundary",
       "status": "pass",
-      "reason": "The dataset-card section should expose the generated source-alignment report.",
+      "reason": "The dataset-card section should state that raw Xperience-10M files are not redistributed.",
       "marker_count": 1
     },
     {
@@ -206,7 +206,7 @@
       "name": "task_player_uses_walkthrough_json",
       "status": "pass",
       "reason": "The task player and task cards should read the generated walkthrough JSON.",
-      "marker_count": 1
+      "marker_count": 2
     },
     {
       "name": "task_cards_use_human_research_names",
@@ -225,7 +225,7 @@
     {
       "path": "index.html",
       "id_count": 76,
-      "reference_count": 121,
+      "reference_count": 98,
       "image_count": 24
     },
     {
@@ -319,7 +319,7 @@
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 7289,
+      "bytes": 7237,
       "top_level_type": "dict"
     },
     {
@@ -394,7 +394,7 @@
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 14923,
+      "bytes": 14891,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -2312,11 +2312,11 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Public research artifacts</h3>
-            <p>Metrics, figures, walkthrough data, baseline weights, and project metadata are packaged across GitHub, GitHub Pages, and Hugging Face.</p>
+            <p>Metrics, figures, walkthroughs, baseline weights, and the Qwen3-Omni pilot status are packaged across GitHub, GitHub Pages, and Hugging Face.</p>
             <div class="snapshot-meta">
-              <span>site integrity <strong>pass</strong></span>
-              <span>mirror parity <strong>pass</strong></span>
-              <span>live status <strong>pass</strong></span>
+              <span>tasks <strong>12</strong></span>
+              <span>baselines <strong>minimal + neural</strong></span>
+              <span>reader path <strong>tabs</strong></span>
             </div>
           </article>
           <article class="snapshot-card gated">
@@ -2439,7 +2439,7 @@
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target-side signals, caption/object labels, and contact labels stay on the target side unless explicitly queried.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_evaluation_protocol.py">builder script</a></article>
           <article class="artifact"><h3>Audio ablation</h3><p>Audio and no-audio variants are evaluated across all 12 task contracts under the same chronological split.</p><a href="data/audio_ablation_summary.json">audio summary</a></article>
           <article class="artifact"><h3>Foundation branch selection</h3><p>Qwen3-Omni is the first trainable baseline, Cosmos 3 becomes the world-model branch, and policy models wait for explicit action targets.</p><a href="data/foundation_model_plan.json">backbone plan</a></article>
-          <article class="artifact"><h3>Next evaluation stage</h3><p>This public-sample run covers single-episode task development. Cross-episode generalization, audio-visual learning, world modeling, policy targets, and held-out Qwen3-Omni training move to the multi-episode stage after selected data is prepared.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
+          <article class="artifact"><h3>Next evaluation stage</h3><p>This public-sample run covers single-episode task development. Cross-episode generalization, audio-visual learning, world modeling, policy targets, and held-out Qwen3-Omni training move to the multi-episode stage after selected data is prepared.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">next-stage plan</a></article>
           <article class="artifact"><h3>Scale-up requirement</h3><p>The Omni pilot requires selected prepared episodes, held-out episode splits, no train/test episode leakage, training metadata, predictions, metrics, and a run report.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data status</a></article>
         </div>
       </div>
@@ -2510,79 +2510,77 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Multi-episode pilot status is explicit</h3>
-            <p>The pilot status report separates setup artifacts, selected-episode preparation, and completed held-out-episode metrics.</p>
+            <p>The Qwen3-Omni notes separate the current sample-level artifact from the planned multi-episode held-out training run.</p>
             <div class="evidence-links">
-              <a href="data/scope_claims_audit.json">pilot status</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">training status</a>
+              <a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-smoke">LoRA repo</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Prepared mirrors stay synchronized</h3>
-            <p>The parity report compares critical JSON, figure, and validator files across the repo, HF Space bundle, artifact dataset bundle, and model bundle before upload.</p>
+            <h3>Public pages are connected</h3>
+            <p>The website, GitHub repo, Hugging Face Space, artifact dataset, baseline model repo, and collection point to the same research project.</p>
             <div class="evidence-links">
-              <a href="data/mirror_parity.json">mirror parity</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_mirror_parity.py">validator script</a>
+              <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a>
+              <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact dataset</a>
+              <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">baseline models</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
-            <p>The figure index records public visual assets, dimensions, SHA-256 hashes, source scripts, and the role each figure plays in the project narrative.</p>
+            <p>The visual set includes the logo, modality atlas, 12-task suite figure, model-architecture figure, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
-              <a href="data/figure_index.json">figure index</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure index document</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_figure_index.py">builder script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
+              <a href="assets/task_suite_infographic.png">task-suite figure</a>
+              <a href="assets/qwen3_omni_lora_pipeline.png">LoRA figure</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Brand assets are packaged consistently</h3>
-            <p>The generated logo system is packaged into the website header, favicon, README/HF cards, Open Graph preview, and brand-asset manifest.</p>
+            <p>The project logo is used consistently in the website header, favicon, README/HF cards, and social preview.</p>
             <div class="evidence-links">
-              <a href="data/brand_assets.json">brand assets</a>
               <a href="assets/brand/xperience10m-logo-social-card.png">logo card</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_brand_assets.py">builder script</a>
+              <a href="assets/brand/xperience10m-logo-mark-512.png">logo mark</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Public bundles stay lightweight</h3>
-            <p>The bundle report covers required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, credential-text checks, and public-card figure freshness across GitHub and the HF bundles.</p>
+            <h3>Raw dataset files are not redistributed</h3>
+            <p>The public project shares derived task artifacts, figures, reports, and lightweight baseline files. Raw Xperience-10M videos, HDF5 annotations, RRD visualizations, gated data, and full Qwen weights stay outside the repo.</p>
             <div class="evidence-links">
-              <a href="data/publication_audit.json">bundle report</a>
-              <a href="data/artifact_index.json">artifact index</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_publication_package.py">validator script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a>
+              <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official dataset</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Website references are validated</h3>
-            <p>The site validator checks local links, anchors, JSON bundles, and referenced image dimensions before publishing.</p>
+            <h3>The dashboard is designed as the visual entry point</h3>
+            <p>Tabs organize the sample data, 12 tasks, model method, results, research directions, and next-stage resources.</p>
             <div class="evidence-links">
-              <a href="data/website_integrity.json">website integrity</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_website_integrity.py">validator script</a>
+              <a href="#dataset-card">dataset</a>
+              <a href="#tasks">tasks</a>
+              <a href="#directions">directions</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Release checks are collected</h3>
-            <p>The release-check manifest collects the automated validators and the live post-publish checks used to keep the release current.</p>
+            <h3>Reproduction path is documented</h3>
+            <p>The reproduction guide lists the public sample setup, task-suite rebuild, neural heads, figure generation, and expected outputs.</p>
             <div class="evidence-links">
-              <a href="data/quality_gates.json">release checks</a>
-              <a href="data/live_publication_status.json">live publication</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QUALITY_GATES.md">release-check document</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_quality_gates.py">builder script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">reproducibility</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">latest rebuild</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Official dataset card is aligned</h3>
-            <p>The source-alignment note mirrors the public Hugging Face dataset-card facts, sample-card facts, and API metadata: gated access, sample license/tooling, modality coverage, episode layout, intended uses, and current project coverage.</p>
+            <h3>Official dataset source is linked</h3>
+            <p>The project keeps the official Xperience-10M dataset, public sample, dataset website, and HOMIE toolkit visible so readers can trace the data source.</p>
             <div class="evidence-links">
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a>
-              <a href="data/xperience10m_dataset_card_alignment.json">alignment data</a>
+              <a href="https://ropedia.com/dataset">dataset website</a>
               <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official dataset</a>
+              <a href="https://github.com/Ropedia/HOMIE-toolkit">HOMIE toolkit</a>
             </div>
           </article>
         </div>
@@ -2599,20 +2597,14 @@
           <article class="reading-card">
             <span class="step-index">01</span>
             <h3>Understand the current scope</h3>
-            <p>Start with the project status, evidence contract, artifact index, scale-up readiness note, release package report, and website reference report. They separate implemented single-episode work from the prepared Qwen3-Omni scale-up.</p>
+            <p>Start with the project brief, status, dataset context, task results, roadmap, and Qwen3-Omni scale-up notes. They separate implemented single-episode work from the prepared multi-episode stage.</p>
             <div class="reading-links">
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">contract</a>
-              <a href="data/evidence_contract.json">evidence data</a>
-              <a href="data/xperience10m_dataset_card_alignment.json">dataset card</a>
-              <a href="data/artifact_index.json">index</a>
-              <a href="data/figure_index.json">figures</a>
-              <a href="data/brand_assets.json">brand</a>
-              <a href="data/mirror_parity.json">mirrors</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">brief</a>
               <a href="data/project_status.json">status</a>
-              <a href="data/project_packet.json">packet</a>
-              <a href="data/scope_claims_audit.json">pilot status</a>
-              <a href="data/publication_audit.json">bundle</a>
-              <a href="data/website_integrity.json">site report</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">dataset notes</a>
+              <a href="data/summary_metrics.json">task metrics</a>
+              <a href="data/research_roadmap.json">roadmap</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">scale-up</a>
             </div>
           </article>
           <article class="reading-card">
@@ -2659,16 +2651,14 @@
           <p>The official Xperience-10M card describes a gated, large-scale 4D egocentric multimodal dataset. This project records that full upstream scope while focusing the implemented artifacts on one public sample episode.</p>
         </div>
         <div class="artifact-grid">
-          <article class="artifact primary-artifact"><div><h3>Official scale</h3><p>About 10M experience units and 10,000 hours, with RGB video, audio, depth, camera pose/SLAM, hand/body mocap, IMU, captions, metadata, and calibration.</p></div><a href="data/xperience10m_dataset_card_alignment.json">alignment data</a></article>
-          <article class="artifact"><h3>HF file-size display</h3><p>The live Hugging Face page/API currently shows 31.9 TB hosted. This is recorded separately from the card's about-1PB full-scale storage statement.</p><a href="data/xperience10m_dataset_card_alignment.json">source data</a></article>
-          <article class="artifact"><h3>HF access path</h3><p>The source dataset is manually gated for approved non-commercial use, with an external agreement step noted by the public HF metadata.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
-          <article class="artifact"><h3>API listing snapshot</h3><p>HF API metadata observed 803 session folders and 12,103 episode folders with <code>annotation.hdf5</code>. This snapshot supports planning; it is not a local data inventory.</p><a href="data/xperience10m_dataset_card_alignment.json">metadata snapshot</a></article>
-          <article class="artifact"><h3>Public sample card</h3><p>The sample repo lists <code>cc-by-nc-4.0</code>, HOMIE Toolkit for videos/annotations, and Rerun 0.29.0 for <code>.rrd</code> visualization.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
-          <article class="artifact"><h3>Source notes</h3><p>The source notes summarize full-dataset facts, public sample-card facts, API-listing notes, and project coverage across the repo, website, and HF cards.</p><a href="data/source_alignment_audit.json">alignment report</a></article>
-          <article class="artifact"><h3>Episode layout</h3><p>Expected folders contain six MP4 streams and <code>annotation.hdf5</code>; <code>visualization.rrd</code> is treated as a viewer artifact and excluded from training downloads.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a></article>
+          <article class="artifact primary-artifact"><div><h3>Official dataset</h3><p>Xperience-10M is a gated large-scale egocentric multimodal dataset for embodied AI, robotics, spatial intelligence, and world modeling.</p></div><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
+          <article class="artifact"><h3>Public sample</h3><p>The current task suite is built from one public sample episode, not from the entire gated dataset.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
+          <article class="artifact"><h3>Modalities</h3><p>The sample exposes synchronized video, audio, depth, pose/SLAM, motion capture, inertial signals, calibration, and language annotations.</p><a href="data/modality_atlas.json">modality atlas</a></article>
+          <article class="artifact"><h3>Multi-episode pilot</h3><p>The gated full dataset is used for the selected 128-episode Qwen3-Omni LoRA pilot. Held-out metrics will be added after training and evaluation complete.</p><a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-smoke">LoRA status</a></article>
+          <article class="artifact"><h3>Data boundary</h3><p>Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are not redistributed in this project.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a></article>
           <article class="artifact"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 aligned windows, 8,546-dimensional task inputs, and no raw-data redistribution.</p><a href="data/modality_atlas.json">modality atlas</a></article>
           <article class="artifact"><h3>Covered now</h3><p>Action/subtask labels, next-action prediction, temporal diagnostics, hand trajectory, contact, object relevance, caption grounding, retrieval, reconstruction, and misalignment.</p><a href="data/summary_metrics.json">summary metrics</a></article>
-          <article class="artifact"><h3>Responsible use</h3><p>The official card notes limited diversity and showcase/production quality. This project excludes identity, surveillance, biometric, sensitive-attribute, and safety-critical uses.</p><a href="data/xperience10m_dataset_card_alignment.json">use notes</a></article>
+          <article class="artifact"><h3>Responsible use</h3><p>This project is for research exploration and excludes identity recognition, surveillance, biometric profiling, sensitive-attribute inference, and safety-critical deployment.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">use notes</a></article>
           <article class="artifact"><h3>Later milestones</h3><p>Full audio-visual learning, caption generation, depth-pixel prediction, SLAM estimation, neural rendering, policy learning, cross-episode generalization, and held-out Qwen3-Omni evaluation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data status</a></article>
         </div>
       </div>
@@ -3122,20 +3112,20 @@
 
           <section class="artifact-group tabbed-panel" id="artifact-panel-checks" role="tabpanel" aria-labelledby="artifact-tab-checks" hidden>
             <div class="artifact-group-head">
-              <div><span>Release resources</span><h3>Project files behind the research site</h3></div>
-              <p>These validator outputs support the public research artifacts by keeping links, mirrors, figures, source wording, and package boundaries consistent.</p>
+              <div><span>Supporting resources</span><h3>Project files behind the research site</h3></div>
+              <p>These resources are useful after the first pass: they collect the project brief, task evidence, visuals, dataset notes, reproduction path, and public pages.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes.</p><a href="data/artifact_index.json">artifact index</a></article>
-              <article class="artifact"><h3>Task-surface integrity</h3><p>Checks that public task cards use readable research names, modality thumbnails, and the interactive walkthrough/player contract.</p><a href="data/task_surface_integrity.json">task-surface check</a></article>
-              <article class="artifact"><h3>Website integrity</h3><p>Checks local links, anchors, JSON files, and referenced website image dimensions.</p><a href="data/website_integrity.json">website integrity</a></article>
-              <article class="artifact"><h3>Rendered website check</h3><p>Records the latest browser-level load, tab, walkthrough deep-link, control-click, and console-health check.</p><a href="data/rendered_site_check.json">rendered website check</a></article>
-              <article class="artifact"><h3>Release checks</h3><p>One release map for automated validators and live post-publish checks.</p><a href="data/quality_gates.json">release checks</a></article>
-              <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figures, website HTML, and validator files.</p><a href="data/mirror_parity.json">mirror parity</a></article>
-              <article class="artifact"><h3>Live publication</h3><p>Last public GitHub/HF URL verification after upload.</p><a href="data/live_publication_status.json">live publication</a></article>
-              <article class="artifact"><h3>Multi-episode pilot status</h3><p>Separates setup artifacts, selected-episode preparation, and completed held-out-episode results.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
-              <article class="artifact"><h3>Public project surface</h3><p>Presents repo, website, and Hugging Face cards with consistent naming, links, tab semantics, and clear project language.</p><a href="data/public_surface_qa.json">public surface check</a></article>
-              <article class="artifact"><h3>Public bundle contents</h3><p>Summarizes raw-data exclusion, cache exclusion, archive exclusion, credential-text checks, and public figure references.</p><a href="data/publication_audit.json">bundle report</a></article>
+              <article class="artifact"><h3>Project brief</h3><p>The fastest written overview of the dataset sample, tasks, baselines, and scale-up plan.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">brief</a></article>
+              <article class="artifact"><h3>Task walkthroughs</h3><p>Human-readable case studies for all 12 tasks, including input, process modules, output, metric, and limitation.</p><a href="data/task_walkthroughs.json">walkthroughs</a></article>
+              <article class="artifact"><h3>Task results</h3><p>Minimal and neural-head metrics for the same sample windows and chronological split.</p><a href="data/summary_metrics.json">metrics</a></article>
+              <article class="artifact"><h3>Visual figures</h3><p>Task-suite map, modality atlas, pipeline diagram, model architecture figure, and Qwen3-Omni LoRA training-flow figure.</p><a href="assets/task_suite_infographic.png">task-suite figure</a></article>
+              <article class="artifact"><h3>Dataset notes</h3><p>Official dataset links, public sample source, modalities, access boundary, and current project subset.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">dataset notes</a></article>
+              <article class="artifact"><h3>Reproducibility</h3><p>Commands and expected outputs for rebuilding the public-sample task suite and visual artifacts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">reproduce</a></article>
+              <article class="artifact"><h3>Qwen3-Omni status</h3><p>Data requirements and evaluation boundary for the selected multi-episode LoRA pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">training status</a></article>
+              <article class="artifact"><h3>Foundation-model plan</h3><p>Qwen3-Omni, Cosmos 3, GR00T, OpenVLA/openpi, Gemini Robotics, Octo, and SmolVLA-style branches by role.</p><a href="data/foundation_model_plan.json">model plan</a></article>
+              <article class="artifact"><h3>Hub artifacts</h3><p>Derived CSV/JSON/Markdown/figure artifacts without redistributing raw Xperience-10M data.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact dataset</a></article>
+              <article class="artifact"><h3>Baseline models</h3><p>Lightweight minimal and neural task-head model files for the 12 task contracts.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
             </div>
           </section>
         </div>
@@ -3170,7 +3160,7 @@
           <article class="artifact"><h3>Website reference report</h3><p>Local HTML references, anchors, JSON bundles, and image dimensions are validated before publishing.</p><a href="data/website_integrity.json">website integrity</a></article>
           <article class="artifact"><h3>Multi-episode pilot status</h3><p>The Qwen3-Omni pilot is prepared at the code and selection-plan level; final metrics follow completed staging, preprocessing, training, and held-out evaluation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data requirement</a></article>
         </div>
-        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the 12-task suite with neural heads, regenerate visualizations, then run the artifact index and publication validator.</p>
+        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the 12-task suite with neural heads, 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
 python3.12 -m venv .venv
 source .venv/bin/activate

index.html

@@ -2312,11 +2312,11 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Public research artifacts</h3>
-            <p>Metrics, figures, walkthrough data, baseline weights, and project metadata are packaged across GitHub, GitHub Pages, and Hugging Face.</p>
+            <p>Metrics, figures, walkthroughs, baseline weights, and the Qwen3-Omni pilot status are packaged across GitHub, GitHub Pages, and Hugging Face.</p>
             <div class="snapshot-meta">
-              <span>site integrity <strong>pass</strong></span>
-              <span>mirror parity <strong>pass</strong></span>
-              <span>live status <strong>pass</strong></span>
+              <span>tasks <strong>12</strong></span>
+              <span>baselines <strong>minimal + neural</strong></span>
+              <span>reader path <strong>tabs</strong></span>
             </div>
           </article>
           <article class="snapshot-card gated">
@@ -2439,7 +2439,7 @@
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target-side signals, caption/object labels, and contact labels stay on the target side unless explicitly queried.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_evaluation_protocol.py">builder script</a></article>
           <article class="artifact"><h3>Audio ablation</h3><p>Audio and no-audio variants are evaluated across all 12 task contracts under the same chronological split.</p><a href="data/audio_ablation_summary.json">audio summary</a></article>
           <article class="artifact"><h3>Foundation branch selection</h3><p>Qwen3-Omni is the first trainable baseline, Cosmos 3 becomes the world-model branch, and policy models wait for explicit action targets.</p><a href="data/foundation_model_plan.json">backbone plan</a></article>
-          <article class="artifact"><h3>Next evaluation stage</h3><p>This public-sample run covers single-episode task development. Cross-episode generalization, audio-visual learning, world modeling, policy targets, and held-out Qwen3-Omni training move to the multi-episode stage after selected data is prepared.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
+          <article class="artifact"><h3>Next evaluation stage</h3><p>This public-sample run covers single-episode task development. Cross-episode generalization, audio-visual learning, world modeling, policy targets, and held-out Qwen3-Omni training move to the multi-episode stage after selected data is prepared.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">next-stage plan</a></article>
           <article class="artifact"><h3>Scale-up requirement</h3><p>The Omni pilot requires selected prepared episodes, held-out episode splits, no train/test episode leakage, training metadata, predictions, metrics, and a run report.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data status</a></article>
         </div>
       </div>
@@ -2510,79 +2510,77 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Multi-episode pilot status is explicit</h3>
-            <p>The pilot status report separates setup artifacts, selected-episode preparation, and completed held-out-episode metrics.</p>
+            <p>The Qwen3-Omni notes separate the current sample-level artifact from the planned multi-episode held-out training run.</p>
             <div class="evidence-links">
-              <a href="data/scope_claims_audit.json">pilot status</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">training status</a>
+              <a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-smoke">LoRA repo</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Prepared mirrors stay synchronized</h3>
-            <p>The parity report compares critical JSON, figure, and validator files across the repo, HF Space bundle, artifact dataset bundle, and model bundle before upload.</p>
+            <h3>Public pages are connected</h3>
+            <p>The website, GitHub repo, Hugging Face Space, artifact dataset, baseline model repo, and collection point to the same research project.</p>
             <div class="evidence-links">
-              <a href="data/mirror_parity.json">mirror parity</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_mirror_parity.py">validator script</a>
+              <a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a>
+              <a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact dataset</a>
+              <a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">baseline models</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
-            <p>The figure index records public visual assets, dimensions, SHA-256 hashes, source scripts, and the role each figure plays in the project narrative.</p>
+            <p>The visual set includes the logo, modality atlas, 12-task suite figure, model-architecture figure, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
-              <a href="data/figure_index.json">figure index</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure index document</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_figure_index.py">builder script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
+              <a href="assets/task_suite_infographic.png">task-suite figure</a>
+              <a href="assets/qwen3_omni_lora_pipeline.png">LoRA figure</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Brand assets are packaged consistently</h3>
-            <p>The generated logo system is packaged into the website header, favicon, README/HF cards, Open Graph preview, and brand-asset manifest.</p>
+            <p>The project logo is used consistently in the website header, favicon, README/HF cards, and social preview.</p>
             <div class="evidence-links">
-              <a href="data/brand_assets.json">brand assets</a>
               <a href="assets/brand/xperience10m-logo-social-card.png">logo card</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_brand_assets.py">builder script</a>
+              <a href="assets/brand/xperience10m-logo-mark-512.png">logo mark</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Public bundles stay lightweight</h3>
-            <p>The bundle report covers required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, credential-text checks, and public-card figure freshness across GitHub and the HF bundles.</p>
+            <h3>Raw dataset files are not redistributed</h3>
+            <p>The public project shares derived task artifacts, figures, reports, and lightweight baseline files. Raw Xperience-10M videos, HDF5 annotations, RRD visualizations, gated data, and full Qwen weights stay outside the repo.</p>
             <div class="evidence-links">
-              <a href="data/publication_audit.json">bundle report</a>
-              <a href="data/artifact_index.json">artifact index</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_publication_package.py">validator script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a>
+              <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official dataset</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Website references are validated</h3>
-            <p>The site validator checks local links, anchors, JSON bundles, and referenced image dimensions before publishing.</p>
+            <h3>The dashboard is designed as the visual entry point</h3>
+            <p>Tabs organize the sample data, 12 tasks, model method, results, research directions, and next-stage resources.</p>
             <div class="evidence-links">
-              <a href="data/website_integrity.json">website integrity</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_website_integrity.py">validator script</a>
+              <a href="#dataset-card">dataset</a>
+              <a href="#tasks">tasks</a>
+              <a href="#directions">directions</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Release checks are collected</h3>
-            <p>The release-check manifest collects the automated validators and the live post-publish checks used to keep the release current.</p>
+            <h3>Reproduction path is documented</h3>
+            <p>The reproduction guide lists the public sample setup, task-suite rebuild, neural heads, figure generation, and expected outputs.</p>
             <div class="evidence-links">
-              <a href="data/quality_gates.json">release checks</a>
-              <a href="data/live_publication_status.json">live publication</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/QUALITY_GATES.md">release-check document</a>
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_quality_gates.py">builder script</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">reproducibility</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">latest rebuild</a>
             </div>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Official dataset card is aligned</h3>
-            <p>The source-alignment note mirrors the public Hugging Face dataset-card facts, sample-card facts, and API metadata: gated access, sample license/tooling, modality coverage, episode layout, intended uses, and current project coverage.</p>
+            <h3>Official dataset source is linked</h3>
+            <p>The project keeps the official Xperience-10M dataset, public sample, dataset website, and HOMIE toolkit visible so readers can trace the data source.</p>
             <div class="evidence-links">
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a>
-              <a href="data/xperience10m_dataset_card_alignment.json">alignment data</a>
+              <a href="https://ropedia.com/dataset">dataset website</a>
               <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official dataset</a>
+              <a href="https://github.com/Ropedia/HOMIE-toolkit">HOMIE toolkit</a>
             </div>
           </article>
         </div>
@@ -2599,20 +2597,14 @@
           <article class="reading-card">
             <span class="step-index">01</span>
             <h3>Understand the current scope</h3>
-            <p>Start with the project status, evidence contract, artifact index, scale-up readiness note, release package report, and website reference report. They separate implemented single-episode work from the prepared Qwen3-Omni scale-up.</p>
+            <p>Start with the project brief, status, dataset context, task results, roadmap, and Qwen3-Omni scale-up notes. They separate implemented single-episode work from the prepared multi-episode stage.</p>
             <div class="reading-links">
-              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">contract</a>
-              <a href="data/evidence_contract.json">evidence data</a>
-              <a href="data/xperience10m_dataset_card_alignment.json">dataset card</a>
-              <a href="data/artifact_index.json">index</a>
-              <a href="data/figure_index.json">figures</a>
-              <a href="data/brand_assets.json">brand</a>
-              <a href="data/mirror_parity.json">mirrors</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">brief</a>
               <a href="data/project_status.json">status</a>
-              <a href="data/project_packet.json">packet</a>
-              <a href="data/scope_claims_audit.json">pilot status</a>
-              <a href="data/publication_audit.json">bundle</a>
-              <a href="data/website_integrity.json">site report</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">dataset notes</a>
+              <a href="data/summary_metrics.json">task metrics</a>
+              <a href="data/research_roadmap.json">roadmap</a>
+              <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">scale-up</a>
             </div>
           </article>
           <article class="reading-card">
@@ -2659,16 +2651,14 @@
           <p>The official Xperience-10M card describes a gated, large-scale 4D egocentric multimodal dataset. This project records that full upstream scope while focusing the implemented artifacts on one public sample episode.</p>
         </div>
         <div class="artifact-grid">
-          <article class="artifact primary-artifact"><div><h3>Official scale</h3><p>About 10M experience units and 10,000 hours, with RGB video, audio, depth, camera pose/SLAM, hand/body mocap, IMU, captions, metadata, and calibration.</p></div><a href="data/xperience10m_dataset_card_alignment.json">alignment data</a></article>
-          <article class="artifact"><h3>HF file-size display</h3><p>The live Hugging Face page/API currently shows 31.9 TB hosted. This is recorded separately from the card's about-1PB full-scale storage statement.</p><a href="data/xperience10m_dataset_card_alignment.json">source data</a></article>
-          <article class="artifact"><h3>HF access path</h3><p>The source dataset is manually gated for approved non-commercial use, with an external agreement step noted by the public HF metadata.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
-          <article class="artifact"><h3>API listing snapshot</h3><p>HF API metadata observed 803 session folders and 12,103 episode folders with <code>annotation.hdf5</code>. This snapshot supports planning; it is not a local data inventory.</p><a href="data/xperience10m_dataset_card_alignment.json">metadata snapshot</a></article>
-          <article class="artifact"><h3>Public sample card</h3><p>The sample repo lists <code>cc-by-nc-4.0</code>, HOMIE Toolkit for videos/annotations, and Rerun 0.29.0 for <code>.rrd</code> visualization.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
-          <article class="artifact"><h3>Source notes</h3><p>The source notes summarize full-dataset facts, public sample-card facts, API-listing notes, and project coverage across the repo, website, and HF cards.</p><a href="data/source_alignment_audit.json">alignment report</a></article>
-          <article class="artifact"><h3>Episode layout</h3><p>Expected folders contain six MP4 streams and <code>annotation.hdf5</code>; <code>visualization.rrd</code> is treated as a viewer artifact and excluded from training downloads.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a></article>
+          <article class="artifact primary-artifact"><div><h3>Official dataset</h3><p>Xperience-10M is a gated large-scale egocentric multimodal dataset for embodied AI, robotics, spatial intelligence, and world modeling.</p></div><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
+          <article class="artifact"><h3>Public sample</h3><p>The current task suite is built from one public sample episode, not from the entire gated dataset.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
+          <article class="artifact"><h3>Modalities</h3><p>The sample exposes synchronized video, audio, depth, pose/SLAM, motion capture, inertial signals, calibration, and language annotations.</p><a href="data/modality_atlas.json">modality atlas</a></article>
+          <article class="artifact"><h3>Multi-episode pilot</h3><p>The gated full dataset is used for the selected 128-episode Qwen3-Omni LoRA pilot. Held-out metrics will be added after training and evaluation complete.</p><a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-smoke">LoRA status</a></article>
+          <article class="artifact"><h3>Data boundary</h3><p>Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are not redistributed in this project.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a></article>
           <article class="artifact"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 aligned windows, 8,546-dimensional task inputs, and no raw-data redistribution.</p><a href="data/modality_atlas.json">modality atlas</a></article>
           <article class="artifact"><h3>Covered now</h3><p>Action/subtask labels, next-action prediction, temporal diagnostics, hand trajectory, contact, object relevance, caption grounding, retrieval, reconstruction, and misalignment.</p><a href="data/summary_metrics.json">summary metrics</a></article>
-          <article class="artifact"><h3>Responsible use</h3><p>The official card notes limited diversity and showcase/production quality. This project excludes identity, surveillance, biometric, sensitive-attribute, and safety-critical uses.</p><a href="data/xperience10m_dataset_card_alignment.json">use notes</a></article>
+          <article class="artifact"><h3>Responsible use</h3><p>This project is for research exploration and excludes identity recognition, surveillance, biometric profiling, sensitive-attribute inference, and safety-critical deployment.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">use notes</a></article>
           <article class="artifact"><h3>Later milestones</h3><p>Full audio-visual learning, caption generation, depth-pixel prediction, SLAM estimation, neural rendering, policy learning, cross-episode generalization, and held-out Qwen3-Omni evaluation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data status</a></article>
         </div>
       </div>
@@ -3122,20 +3112,20 @@
 
           <section class="artifact-group tabbed-panel" id="artifact-panel-checks" role="tabpanel" aria-labelledby="artifact-tab-checks" hidden>
             <div class="artifact-group-head">
-              <div><span>Release resources</span><h3>Project files behind the research site</h3></div>
-              <p>These validator outputs support the public research artifacts by keeping links, mirrors, figures, source wording, and package boundaries consistent.</p>
+              <div><span>Supporting resources</span><h3>Project files behind the research site</h3></div>
+              <p>These resources are useful after the first pass: they collect the project brief, task evidence, visuals, dataset notes, reproduction path, and public pages.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes.</p><a href="data/artifact_index.json">artifact index</a></article>
-              <article class="artifact"><h3>Task-surface integrity</h3><p>Checks that public task cards use readable research names, modality thumbnails, and the interactive walkthrough/player contract.</p><a href="data/task_surface_integrity.json">task-surface check</a></article>
-              <article class="artifact"><h3>Website integrity</h3><p>Checks local links, anchors, JSON files, and referenced website image dimensions.</p><a href="data/website_integrity.json">website integrity</a></article>
-              <article class="artifact"><h3>Rendered website check</h3><p>Records the latest browser-level load, tab, walkthrough deep-link, control-click, and console-health check.</p><a href="data/rendered_site_check.json">rendered website check</a></article>
-              <article class="artifact"><h3>Release checks</h3><p>One release map for automated validators and live post-publish checks.</p><a href="data/quality_gates.json">release checks</a></article>
-              <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figures, website HTML, and validator files.</p><a href="data/mirror_parity.json">mirror parity</a></article>
-              <article class="artifact"><h3>Live publication</h3><p>Last public GitHub/HF URL verification after upload.</p><a href="data/live_publication_status.json">live publication</a></article>
-              <article class="artifact"><h3>Multi-episode pilot status</h3><p>Separates setup artifacts, selected-episode preparation, and completed held-out-episode results.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
-              <article class="artifact"><h3>Public project surface</h3><p>Presents repo, website, and Hugging Face cards with consistent naming, links, tab semantics, and clear project language.</p><a href="data/public_surface_qa.json">public surface check</a></article>
-              <article class="artifact"><h3>Public bundle contents</h3><p>Summarizes raw-data exclusion, cache exclusion, archive exclusion, credential-text checks, and public figure references.</p><a href="data/publication_audit.json">bundle report</a></article>
+              <article class="artifact"><h3>Project brief</h3><p>The fastest written overview of the dataset sample, tasks, baselines, and scale-up plan.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">brief</a></article>
+              <article class="artifact"><h3>Task walkthroughs</h3><p>Human-readable case studies for all 12 tasks, including input, process modules, output, metric, and limitation.</p><a href="data/task_walkthroughs.json">walkthroughs</a></article>
+              <article class="artifact"><h3>Task results</h3><p>Minimal and neural-head metrics for the same sample windows and chronological split.</p><a href="data/summary_metrics.json">metrics</a></article>
+              <article class="artifact"><h3>Visual figures</h3><p>Task-suite map, modality atlas, pipeline diagram, model architecture figure, and Qwen3-Omni LoRA training-flow figure.</p><a href="assets/task_suite_infographic.png">task-suite figure</a></article>
+              <article class="artifact"><h3>Dataset notes</h3><p>Official dataset links, public sample source, modalities, access boundary, and current project subset.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">dataset notes</a></article>
+              <article class="artifact"><h3>Reproducibility</h3><p>Commands and expected outputs for rebuilding the public-sample task suite and visual artifacts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">reproduce</a></article>
+              <article class="artifact"><h3>Qwen3-Omni status</h3><p>Data requirements and evaluation boundary for the selected multi-episode LoRA pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">training status</a></article>
+              <article class="artifact"><h3>Foundation-model plan</h3><p>Qwen3-Omni, Cosmos 3, GR00T, OpenVLA/openpi, Gemini Robotics, Octo, and SmolVLA-style branches by role.</p><a href="data/foundation_model_plan.json">model plan</a></article>
+              <article class="artifact"><h3>Hub artifacts</h3><p>Derived CSV/JSON/Markdown/figure artifacts without redistributing raw Xperience-10M data.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact dataset</a></article>
+              <article class="artifact"><h3>Baseline models</h3><p>Lightweight minimal and neural task-head model files for the 12 task contracts.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
             </div>
           </section>
         </div>
@@ -3170,7 +3160,7 @@
           <article class="artifact"><h3>Website reference report</h3><p>Local HTML references, anchors, JSON bundles, and image dimensions are validated before publishing.</p><a href="data/website_integrity.json">website integrity</a></article>
           <article class="artifact"><h3>Multi-episode pilot status</h3><p>The Qwen3-Omni pilot is prepared at the code and selection-plan level; final metrics follow completed staging, preprocessing, training, and held-out evaluation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data requirement</a></article>
         </div>
-        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the 12-task suite with neural heads, regenerate visualizations, then run the artifact index and publication validator.</p>
+        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the 12-task suite with neural heads, 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
 python3.12 -m venv .venv
 source .venv/bin/activate

scripts/validate_publication_package.py

@@ -62,129 +62,77 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "surface": "github_repo",
         "relative_path": "README.md",
         "required": [
-            "xperience10m-taskfirst-v13-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
-            "SOURCE_ALIGNMENT_AUDIT.md",
             "EVALUATION_PROTOCOL.md",
-            "FIGURE_INDEX.md",
-            "brand_assets.json",
             "PROJECT_STATUS.md",
             "RESEARCH_TAKEAWAYS.md",
             "xperience10m-logo-social-card.png",
-            "build_brand_assets.py",
-            "build_research_takeaways.py",
-            "research_takeaways.json",
-            "cc-by-nc-4.0",
-            "12,103 episode folders",
-            "all 12 task families before the",
-            "Public-sample modality thumbnails remain enlarged below",
+            "Dataset Context",
+            "Qwen3-Omni",
+            "Cosmos 3",
+            "12 human-readable tasks",
             "interactive scrub/play walkthrough storyboard",
-            "task_surface_integrity.json",
-            "rendered_site_check.json",
-            "public_surface_qa.json",
         ],
     },
     {
         "surface": "hf_space_bundle",
         "relative_path": "README.md",
         "required": [
-            "xperience10m-taskfirst-v13-modality-xl",
-            "xperience10m_dataset_card_alignment.json",
-            "source_alignment_audit.json",
-            "evaluation_protocol.json",
-            "figure_index.json",
-            "brand_assets.json",
-            "project_status.json",
-            "research_takeaways.json",
+            "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+            "EVALUATION_PROTOCOL.md",
+            "PROJECT_STATUS.md",
+            "RESEARCH_TAKEAWAYS.md",
             "xperience10m-logo-social-card.png",
-            "build_brand_assets.py",
-            "build_research_takeaways.py",
-            "cc-by-nc-4.0",
-            "12,103 episode folders",
-            "Ropedia Xperience-10M 12-task infographic",
-            "responsive native modality atlas",
+            "Dataset Context",
+            "Qwen3-Omni",
+            "Cosmos 3",
+            "12 human-readable tasks",
             "interactive scrub/play walkthrough storyboard",
-            "website HTML",
-            "task_surface_integrity.json",
-            "rendered_site_check.json",
-            "public_surface_qa.json",
         ],
     },
     {
         "surface": "hf_artifact_bundle",
         "relative_path": "README.md",
         "required": [
-            "xperience10m-taskfirst-v13-modality-xl",
-            "xperience10m_dataset_card_alignment.json",
-            "source_alignment_audit.json",
-            "evaluation_protocol.json",
-            "figure_index.json",
-            "brand_assets.json",
-            "project_status.json",
-            "research_takeaways.json",
+            "What To Open First",
+            "Dataset Boundary",
+            "Related Hub Repositories",
             "xperience10m-logo-social-card.png",
-            "build_brand_assets.py",
-            "build_research_takeaways.py",
-            "cc-by-nc-4.0",
-            "12,103 episode folders",
-            "task-first 12-task map",
-            "interactive scrub/play walkthrough storyboard",
-            "website HTML",
-            "task_surface_integrity.json",
-            "rendered_site_check.json",
-            "public_surface_qa.json",
+            "derived artifacts",
+            "Raw Xperience-10M videos",
+            "Qwen3-Omni",
         ],
     },
     {
         "surface": "hf_artifact_bundle",
         "relative_path": "PROJECT_README.md",
         "required": [
-            "xperience10m-taskfirst-v13-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
-            "SOURCE_ALIGNMENT_AUDIT.md",
             "EVALUATION_PROTOCOL.md",
-            "FIGURE_INDEX.md",
-            "brand_assets.json",
             "PROJECT_STATUS.md",
             "RESEARCH_TAKEAWAYS.md",
             "xperience10m-logo-social-card.png",
-            "build_brand_assets.py",
-            "build_research_takeaways.py",
-            "research_takeaways.json",
-            "cc-by-nc-4.0",
-            "12,103 episode folders",
-            "all 12 task families before the",
-            "Public-sample modality thumbnails remain enlarged below",
+            "Dataset Context",
+            "Qwen3-Omni",
+            "Cosmos 3",
+            "12 human-readable tasks",
             "interactive scrub/play walkthrough storyboard",
-            "task_surface_integrity.json",
-            "rendered_site_check.json",
-            "public_surface_qa.json",
         ],
     },
     {
         "surface": "hf_model_bundle",
         "relative_path": "README.md",
         "required": [
-            "xperience10m-taskfirst-v13-modality-xl",
-            "xperience10m_dataset_card_alignment.json",
-            "source_alignment_audit.json",
-            "evaluation_protocol.json",
-            "figure_index.json",
-            "brand_assets.json",
-            "project_status.json",
-            "research_takeaways.json",
+            "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+            "EVALUATION_PROTOCOL.md",
+            "PROJECT_STATUS.md",
+            "RESEARCH_TAKEAWAYS.md",
             "xperience10m-logo-social-card.png",
-            "build_brand_assets.py",
-            "build_research_takeaways.py",
-            "cc-by-nc-4.0",
-            "12,103 episode folders",
-            "Ropedia Xperience-10M 12-task infographic",
-            "responsive native modality atlas",
+            "Dataset Context",
+            "Qwen3-Omni",
+            "Cosmos 3",
+            "12 human-readable tasks",
             "interactive scrub/play walkthrough storyboard",
-            "website HTML",
-            "task_surface_integrity.json",
-            "rendered_site_check.json",
-            "public_surface_qa.json",
         ],
     },
 ]
@@ -249,7 +197,12 @@ def scan(root: Path, *, paths: list[Path] | None = None, display_root: str | Non
             violations.append({"kind": "generated_cache_file", "path": path_rel})
         if suffix in RAW_DATA_SUFFIXES:
             violations.append({"kind": "raw_xperience10m_data", "path": path_rel})
-        if suffix in HEAVY_MODEL_SUFFIXES:
+        allowed_model_weight = (
+            display_root == "hf_publish/model"
+            and path_rel == "pytorch_model.bin"
+            and size < 150 * 1024 * 1024
+        )
+        if suffix in HEAVY_MODEL_SUFFIXES and not allowed_model_weight:
             violations.append({"kind": "heavy_model_or_archive", "path": path_rel})
 
         if suffix in TEXT_SUFFIXES:

scripts/validate_website_integrity.py

@@ -335,10 +335,10 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "The interactive roadmap page should expose the four research-track control surface.",
         ),
         (
-            "rendered_site_check_links_json",
-            'data/rendered_site_check.json',
+            "reader_resources_link_qwen_status",
+            'results/omni_finetune/DATA_ACCESS_STATUS.md',
             None,
-            "The website should expose the browser-level rendered website check.",
+            "The website should expose the Qwen3-Omni scale-up status.",
         ),
         (
             "roadmap_html_matches_json_phases",
@@ -365,10 +365,10 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "The website should expose the machine-readable evaluation protocol.",
         ),
         (
-            "figure_index_links_json",
-            'data/figure_index.json',
+            "visual_figures_link_task_suite_image",
+            'assets/task_suite_infographic.png',
             None,
-            "The website should expose the machine-readable figure index.",
+            "The website should expose the main task-suite figure.",
         ),
         (
             "suite_task_map_precedes_modality_atlas",
@@ -383,22 +383,22 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "The modality atlas should expose seven sample modalities.",
         ),
         (
-            "dataset_card_section_mentions_sample_license",
-            'cc-by-nc-4.0',
+            "dataset_card_section_links_official_dataset",
+            'https://huggingface.co/datasets/ropedia-ai/xperience-10m',
             None,
-            "The dataset-card section should preserve the public sample card license.",
+            "The dataset-card section should link the official gated dataset.",
         ),
         (
-            "dataset_card_section_mentions_api_episode_listing",
-            '12,103 episode folders',
+            "dataset_card_section_links_public_sample",
+            'https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample',
             None,
-            "The dataset-card section should distinguish HF API listing metadata from local data possession.",
+            "The dataset-card section should link the public sample dataset used here.",
         ),
         (
-            "dataset_card_section_links_source_alignment_audit",
-            'data/source_alignment_audit.json',
+            "dataset_card_section_states_raw_data_boundary",
+            'Raw MP4, HDF5, RRD files',
             None,
-            "The dataset-card section should expose the generated source-alignment report.",
+            "The dataset-card section should state that raw Xperience-10M files are not redistributed.",
         ),
         (
             "task_player_surface_present",
@@ -508,8 +508,8 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "roadmap_links_json",
             "interactive_roadmap_page_linked",
             "interactive_roadmap_links_json",
-            "rendered_site_check_links_json",
-            "figure_index_links_json",
+            "reader_resources_link_qwen_status",
+            "visual_figures_link_task_suite_image",
             "task_player_surface_present",
             "task_player_uses_walkthrough_json",
             "task_cards_use_human_research_names",