Datasets:

cy0307
/

ropedia-xperience-10m-task-suite-artifacts

@@ -25,7 +25,7 @@ The project separates these reading layers:
    evidence for the single-episode pipeline.
 9. **Public project surface:** repo, website, and Hugging Face pages,
    accessibility semantics, links, and reader-facing copy.
-10. **Scale-up readiness:** scripts and reports for the planned 32-episode
    Qwen3-Omni pilot, with the data-access requirement kept visible.
 ## Start Here
@@ -38,7 +38,7 @@ The project separates these reading layers:
 | [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Describes whether repo, website, and Hugging Face cards read as one coherent 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) | Verifies source-alignment markers 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. |
@@ -46,14 +46,14 @@ The project separates these reading layers:
 | [`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/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-fact and current-project marker report. |
 | [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | Machine-readable evaluation protocol generated from committed metrics. |
 | [`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 project-surface 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) | Records whether public bundles exclude raw data, Python caches, heavy archives, token strings, and stale public-card figure references. |
-| [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Keeps historical `32ep` setup identifiers separate 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. |
 | [`docs/data/project_packet.json`](docs/data/project_packet.json) | Gives the shortest machine-readable project route. |
@@ -62,10 +62,10 @@ The project separates these reading layers:
 | Artifact | What it proves |
 | --- | --- |
-| [`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 boundary, 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 caveat, and current project scope. |
-| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable source metadata, current-project marker, 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. |
 ## Evaluation Protocol
@@ -96,7 +96,7 @@ The project separates these reading layers:
 | --- | --- |
 | [`results/episode_task_suite/windows.csv`](results/episode_task_suite/windows.csv) | The sample episode is converted into 1,161 aligned 20-frame windows. |
 | [`results/episode_task_suite/feature_manifest.json`](results/episode_task_suite/feature_manifest.json) | The current input vector has 8,378 dimensions with explicit feature-block boundaries. |
-| [`results/episode_task_suite/available_modalities.json`](results/episode_task_suite/available_modalities.json) | The sample modality coverage is recorded, including the current audio-featurization boundary. |
 | [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) | The responsive website modality cards and derived thumbnail assets are documented without redistributing raw data. |
 | [`docs/assets/modalities/`](docs/assets/modalities/) | Small public-sample thumbnails used by the readable modality atlas. |

    evidence for the single-episode pipeline.
 9. **Public project surface:** repo, website, and Hugging Face pages,
    accessibility semantics, links, and reader-facing copy.
+10. **Multi-episode pilot status:** scripts and reports for the planned 32-episode
    Qwen3-Omni pilot, with the data-access requirement kept visible.
 ## Start Here
 | [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Describes whether repo, website, and Hugging Face cards read as one coherent 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/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/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. |
 | [`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 project-surface 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, token strings, and public-card figure references. |
+| [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Records historical `32ep` setup identifiers separately 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. |
 | [`docs/data/project_packet.json`](docs/data/project_packet.json) | Gives the shortest machine-readable project route. |
 | Artifact | What it proves |
 | --- | --- |
+| [`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. |
 ## Evaluation Protocol
 | --- | --- |
 | [`results/episode_task_suite/windows.csv`](results/episode_task_suite/windows.csv) | The sample episode is converted into 1,161 aligned 20-frame windows. |
 | [`results/episode_task_suite/feature_manifest.json`](results/episode_task_suite/feature_manifest.json) | The current input vector has 8,378 dimensions with explicit feature-block boundaries. |
+| [`results/episode_task_suite/available_modalities.json`](results/episode_task_suite/available_modalities.json) | The sample modality coverage is recorded, including the current audio-featurization status. |
 | [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) | The responsive website modality cards and derived thumbnail assets are documented without redistributing raw data. |
 | [`docs/assets/modalities/`](docs/assets/modalities/) | Small public-sample thumbnails used by the readable modality atlas. |

EVIDENCE_CONTRACT.md CHANGED Viewed

@@ -8,7 +8,7 @@ the dashboard as a basis for further work.
 | --- | --- | --- | --- |
 | A first-pass reader has a compact current-state summary. | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Verified guide | Summarizes existing evidence and current limitations |
 | The public dataset description is aligned with the official gated Xperience-10M dataset card and public sample card. | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Verified description alignment | Summarizes upstream public metadata, API listing facts, sample license/tooling, and card facts; does not grant access or mirror raw data |
-| Source facts and current-project markers are aligned across repo, website, and HF cards. | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source alignment recorded | Offline committed-fact report; does not fetch private gated data |
 | Public figures are indexed as project evidence. | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | Verified visual evidence | Derived figures and thumbnails only; does not include raw MP4/HDF5/RRD data |
 | The project logo is consistently packaged across public surfaces. | `docs/data/brand_assets.json`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Verified brand packaging | Generated presentation assets only; does not contain raw Xperience-10M data or model weights |
 | The public Xperience-10M sample has been converted into aligned model windows. | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/shared_windows.npz`, `results/episode_task_suite/summary_report.json` | Verified for 5,821 frames and 1,161 windows | One public sample episode only |
@@ -22,9 +22,9 @@ the dashboard as a basis for further work.
 | Four extra direction probes are coded and evaluated. | `results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json`, `docs/data/research_direction_extensions.json` | Verified single-episode probes | Not full human modeling, neural rendering, intent modeling, or world modeling solutions |
 | Qwen3-Omni infrastructure has passed setup checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Setup-stage evidence | One episode, 128 train windows; full metrics require the 32-episode pilot |
 | The 32-episode LoRA pilot is waiting on gated data access. | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` | Data access pending | Held-out metrics come after the data gate, manifest construction, training, and test evaluation |
-| Historical `32ep` path strings are tracked as setup-file provenance. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Scale-up readiness | Old run/path identifiers stay separate from completed 32-episode results |
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Mirror parity report | Compares prepared data files, visual assets, website HTML, and validator scripts before upload; live URLs are checked after publishing |
-| The public GitHub and Hugging Face bundles are release-ready. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Release package report | Covers public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded |
 | The public repo, website, and Hugging Face cards present one coherent research surface. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Public project surface | Covers SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy |
 | The public website has validated local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Website reference report | Covers local links, anchors, JSON data, and referenced images; external URLs are not fetched |
 | The release checks are explicit. | `QUALITY_GATES.md`, `scripts/build_quality_gates.py`, `docs/data/quality_gates.json` | Release checks | Summarizes packaging and live-mirror checks; cross-episode model quality is measured by later held-out reports |

 | --- | --- | --- | --- |
 | A first-pass reader has a compact current-state summary. | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Verified guide | Summarizes existing evidence and current limitations |
 | The public dataset description is aligned with the official gated Xperience-10M dataset card and public sample card. | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Verified description alignment | Summarizes upstream public metadata, API listing facts, sample license/tooling, and card facts; does not grant access or mirror raw data |
+| Source facts, sample details, API-listing notes, and project coverage are aligned across repo, website, and HF cards. | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source alignment recorded | Offline committed-fact report; does not fetch private gated data |
 | Public figures are indexed as project evidence. | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | Verified visual evidence | Derived figures and thumbnails only; does not include raw MP4/HDF5/RRD data |
 | The project logo is consistently packaged across public surfaces. | `docs/data/brand_assets.json`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Verified brand packaging | Generated presentation assets only; does not contain raw Xperience-10M data or model weights |
 | The public Xperience-10M sample has been converted into aligned model windows. | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/shared_windows.npz`, `results/episode_task_suite/summary_report.json` | Verified for 5,821 frames and 1,161 windows | One public sample episode only |
 | Four extra direction probes are coded and evaluated. | `results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json`, `docs/data/research_direction_extensions.json` | Verified single-episode probes | Not full human modeling, neural rendering, intent modeling, or world modeling solutions |
 | Qwen3-Omni infrastructure has passed setup checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Setup-stage evidence | One episode, 128 train windows; full metrics require the 32-episode pilot |
 | The 32-episode LoRA pilot is waiting on gated data access. | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` | Data access pending | Held-out metrics come after the data gate, manifest construction, training, and test evaluation |
+| Historical `32ep` path strings are tracked as setup-file provenance. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Multi-episode pilot status | Old run/path identifiers stay separate from completed 32-episode results |
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Mirror parity report | Compares prepared data files, visual assets, website HTML, and validator scripts before upload; live URLs are checked after publishing |
+| The public GitHub and Hugging Face bundles are ready to share. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Public bundle contents | Covers public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded |
 | The public repo, website, and Hugging Face cards present one coherent research surface. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Public project surface | Covers SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy |
 | The public website has validated local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Website reference report | Covers local links, anchors, JSON data, and referenced images; external URLs are not fetched |
 | The release checks are explicit. | `QUALITY_GATES.md`, `scripts/build_quality_gates.py`, `docs/data/quality_gates.json` | Release checks | Summarizes packaging and live-mirror checks; cross-episode model quality is measured by later held-out reports |

FIGURE_INDEX.md CHANGED Viewed

@@ -33,7 +33,7 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
 | Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
 | Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |
-## Boundary
 - These figures are derived presentation artifacts or small thumbnails.
 - The index records file hashes and dimensions for reproducibility checks.

 | Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
 | Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |
+## Use and Scope
 - These figures are derived presentation artifacts or small thumbnails.
 - The index records file hashes and dimensions for reproducibility checks.

PROJECT_README.md CHANGED Viewed

@@ -83,7 +83,7 @@ multi-episode held-out model metrics:
 | Project layer | Evidence | Current scope |
 | --- | --- | --- |
 | 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` | keeps source facts and current-project wording consistent 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 |
@@ -94,11 +94,11 @@ multi-episode held-out model metrics:
 | 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 |
-| Public project surface | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | keeps the repo, website, and Hugging Face cards aligned as one research project surface |
 | Qwen3-Omni | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | setup-stage until 32 valid episodes are available and held-out evaluation runs |
-| Scale-up readiness | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | keeps setup-stage `32ep` artifacts separate from 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 |
-| Release package | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | keeps public repo and HF bundles lightweight, current, and free of raw data or local scratch files |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one map for automated checks and live post-publish verification |
 | 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 |
@@ -117,7 +117,7 @@ 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 scale-up readiness 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).
@@ -168,7 +168,7 @@ They give the current research state in one compact table:
 | 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 and current-project markers are consistent across repo, website, and HF cards |
 | 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 project-surface reports, mirror parity, and live-publication checks; the public dashboard uses five top-level tabs plus subsection tabs for dataset, task-suite, method, result, and resource views |
 | Qwen3-Omni 32-episode pilot | Data-gated; prepared, with full metrics pending held-out evaluation |
@@ -182,7 +182,7 @@ If you are reading the project cold, open these in order:
 | --- | --- | --- | --- |
 | 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, sample-card, API-listing, and current-project facts. |
 | 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 | 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. |
@@ -270,7 +270,7 @@ The same alignment note also records what is outside the current implemented sub
 audio-visual learning, caption generation, pixel-depth estimation, SLAM
 estimation, neural rendering, policy learning, cross-episode generalization,
 and real 32-episode Qwen3-Omni model quality.
-It also preserves the official responsible-use boundary: 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
@@ -291,7 +291,7 @@ 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` | Verifies source facts and current-project markers 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 |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and current limitations |
@@ -301,7 +301,7 @@ Hugging Face Space app:
 | 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 |
-| Release package | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale 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 |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
@@ -417,11 +417,11 @@ 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 release package 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
-  data/project_packet.json          # machine-readable project path and scope boundary
   data/research_directions.json     # four-track website data bundle
   data/research_direction_extensions.json # four extra probe data bundle
   data/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data

 | Project layer | Evidence | Current scope |
 | --- | --- | --- |
 | 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 |
 | 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 |
+| 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` | setup-stage until 32 valid episodes are available and held-out evaluation runs |
+| Multi-episode pilot status | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | records setup-stage `32ep` artifacts separately from 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 local scratch-file exclusion |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one map for automated checks and live post-publish verification |
 | 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 |
 [`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).
 | 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 |
 | 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 project-surface reports, mirror parity, and live-publication checks; the public dashboard uses five top-level tabs plus subsection tabs for dataset, task-suite, method, result, and resource views |
 | Qwen3-Omni 32-episode pilot | Data-gated; prepared, with full metrics pending held-out evaluation |
 | --- | --- | --- | --- |
 | 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 | 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. |
 audio-visual learning, caption generation, pixel-depth estimation, SLAM
 estimation, neural rendering, policy learning, cross-episode generalization,
 and real 32-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
 | 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 |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and current limitations |
 | 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, token-string 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 |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
   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
+  data/project_packet.json          # machine-readable project path and scope summary
   data/research_directions.json     # four-track website data bundle
   data/research_direction_extensions.json # four extra probe data bundle
   data/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data

PROJECT_STATUS.md CHANGED Viewed

@@ -13,9 +13,9 @@ the next development step.
 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
 | 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 and current-project markers are checked across repo docs, website, and HF cards. |
 | Website and HF mirrors | Verified | `docs/data/website_integrity.json`, `docs/data/mirror_parity.json`, `docs/data/live_publication_status.json` | Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been verified after upload. |
-| Release package | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles exclude raw data, caches, heavy archives, token strings, and stale public-card copy. |
 | 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-gated; full metrics pending | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | The 32-episode LoRA pilot is prepared; final held-out metrics require gated data access, 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. |

 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
 | 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/mirror_parity.json`, `docs/data/live_publication_status.json` | Local website links/assets pass, 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, token strings, and stale public-card copy. |
 | 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-gated; full metrics pending | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | The 32-episode LoRA pilot is prepared; final held-out metrics require gated data access, 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. |

PUBLIC_SURFACE_QA.md CHANGED Viewed

@@ -8,7 +8,7 @@ This report covers the public repo, website, Hugging Face cards, and package con
 ## Checks
-| Area | Status | What it keeps aligned |
 | --- | --- | --- |
 | Public files | `pass` | Repo README, website HTML, and three Hugging Face cards should all be present in the publication workspace. |
 | Project reports | `pass` | The public project surface depends on the existing project reports already passing. |

 ## Checks
+| Area | Status | What it covers |
 | --- | --- | --- |
 | Public files | `pass` | Repo README, website HTML, and three Hugging Face cards should all be present in the publication workspace. |
 | Project reports | `pass` | The public project surface depends on the existing project reports already passing. |

QUALITY_GATES.md CHANGED Viewed

@@ -12,8 +12,8 @@ These checks cover public packaging, project status wording, mirror parity, and
 | Check | Command | Report | Current status | Needs attention when |
 | --- | --- | --- | --- | --- |
-| Scale-up readiness | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Historical 32ep setup/provenance strings are presented as completed 32-episode metrics. |
-| Source alignment | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent. |
 | Website integrity | `python scripts/validate_website_integrity.py` | `docs/data/website_integrity.json` | `pass` | Local links, anchors, JSON bundles, or referenced image assets are missing or invalid. |
 | Task surface integrity | `python scripts/validate_task_surface.py` | `docs/data/task_surface_integrity.json` | `pass` | Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON. |
 | Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit. |
@@ -21,7 +21,7 @@ These checks cover public packaging, project status wording, mirror parity, and
 | Brand assets | `python scripts/build_brand_assets.py` | `docs/data/brand_assets.json` | `pass` | The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged. |
 | Release-check manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reader cannot see the current release state in one place. |
 | Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Project-critical evidence files are missing from the indexed artifact layer. |
-| Release package | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles. |
 | Public project surface | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or reader-facing copy consistency. |
 | Prepared mirror parity | `python scripts/validate_mirror_parity.py` | `docs/data/mirror_parity.json` | `pass` | Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files. |

 | Check | Command | Report | Current status | Needs attention when |
 | --- | --- | --- | --- | --- |
+| Multi-episode pilot status | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Historical 32ep setup/provenance strings are presented as completed 32-episode metrics. |
+| Source alignment | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent. |
 | Website integrity | `python scripts/validate_website_integrity.py` | `docs/data/website_integrity.json` | `pass` | Local links, anchors, JSON bundles, or referenced image assets are missing or invalid. |
 | Task surface integrity | `python scripts/validate_task_surface.py` | `docs/data/task_surface_integrity.json` | `pass` | Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON. |
 | Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit. |
 | Brand assets | `python scripts/build_brand_assets.py` | `docs/data/brand_assets.json` | `pass` | The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged. |
 | Release-check manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reader cannot see the current release state in one place. |
 | Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Project-critical evidence files are missing from the indexed artifact layer. |
+| Public bundle contents | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles. |
 | Public project surface | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or reader-facing copy consistency. |
 | Prepared mirror parity | `python scripts/validate_mirror_parity.py` | `docs/data/mirror_parity.json` | `pass` | Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files. |

README.md CHANGED Viewed

@@ -150,19 +150,19 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 | 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 cards use human-readable names, modality thumbnails, and the walkthrough/player data contract |
 | Qwen3-Omni | `DATA_ACCESS_STATUS.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | setup-stage until 32 valid episodes are available |
-| Scale-up readiness | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | setup-stage `32ep` artifacts stay separate from completed held-out-episode metrics |
 | Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files |
-| Release package | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files/HF bundles only, with current-card checks |
 | Public project surface | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, and reader-facing copy |
 | Website integrity | `docs/data/website_integrity.json`, `scripts/validate_website_integrity.py` | local links, anchors, JSON bundles, and referenced images only |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | automated release checks plus live post-publish verification |
 | Live publication | `docs/data/live_publication_status.json`, `scripts/verify_live_publication.py` | last public GitHub/HF URL verification after upload |
 | Official dataset card alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | official source scope, public sample card, HF API listing, gated access, modality coverage, scale, and this repo's single-episode scope |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and current-project markers |
 | Brand assets | `assets/brand/`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Generated project logo system packaged for favicon, header, card, README, and social preview use |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact project-artifact catalog with stable hashes |
-| Citation metadata | `PROJECT_README.md`, `docs/data/project_manifest.json`, GitHub `CITATION.cff` | code/data license boundary remains explicit |
 ## What Is Included
@@ -181,12 +181,12 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable project scope
 - `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`: official Xperience-10M dataset-card, public sample-card, and HF API metadata alignment summary
-- `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`: generated report that source facts and current-project markers are preserved across public surfaces
 - `FIGURE_INDEX.md` and `docs/data/figure_index.json`: visual evidence index for public figures, charts, thumbnails, dimensions, hashes, and source scripts
 - `docs/data/artifact_index.json`: source-of-truth project-artifact catalog with stable-file hashes
 - `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
-- `docs/data/scope_claims_audit.json`: machine-readable scale-up readiness report for historical `32ep` setup/provenance identifiers
-- `docs/data/publication_audit.json`: machine-readable release package and public-card freshness report
 - `PUBLIC_SURFACE_QA.md` and `docs/data/public_surface_qa.json`: public project-surface report for the repo, website, and Hugging Face cards
 - `docs/data/task_surface_integrity.json`: machine-readable task-card and walkthrough-player report
 - `docs/data/website_integrity.json`: machine-readable website local-reference report

 | 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 cards use human-readable names, modality thumbnails, and the walkthrough/player data contract |
 | Qwen3-Omni | `DATA_ACCESS_STATUS.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | setup-stage until 32 valid episodes are available |
+| Multi-episode pilot status | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | setup-stage `32ep` artifacts are recorded separately from completed held-out-episode metrics |
 | Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files |
+| Public bundle contents | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files and HF bundles, with current-card checks |
 | Public project surface | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, and reader-facing copy |
 | Website integrity | `docs/data/website_integrity.json`, `scripts/validate_website_integrity.py` | local links, anchors, JSON bundles, and referenced images only |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | automated release checks plus live post-publish verification |
 | Live publication | `docs/data/live_publication_status.json`, `scripts/verify_live_publication.py` | last public GitHub/HF URL verification after upload |
 | Official dataset card alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | official source scope, public sample card, HF API listing, gated access, modality coverage, scale, and this repo's single-episode scope |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing notes, and project coverage |
 | Brand assets | `assets/brand/`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Generated project logo system packaged for favicon, header, card, README, and social preview use |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact project-artifact catalog with stable hashes |
+| Citation metadata | `PROJECT_README.md`, `docs/data/project_manifest.json`, GitHub `CITATION.cff` | code and dataset license terms remain explicit |
 ## What Is Included
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable project scope
 - `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`: official Xperience-10M dataset-card, public sample-card, and HF API metadata alignment summary
+- `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`: generated report that source facts, sample details, API-listing notes, and project coverage are preserved across public surfaces
 - `FIGURE_INDEX.md` and `docs/data/figure_index.json`: visual evidence index for public figures, charts, thumbnails, dimensions, hashes, and source scripts
 - `docs/data/artifact_index.json`: source-of-truth project-artifact catalog with stable-file hashes
 - `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
+- `docs/data/scope_claims_audit.json`: machine-readable multi-episode pilot status report for historical `32ep` setup/provenance identifiers
+- `docs/data/publication_audit.json`: machine-readable public bundle and public-card freshness report
 - `PUBLIC_SURFACE_QA.md` and `docs/data/public_surface_qa.json`: public project-surface report for the repo, website, and Hugging Face cards
 - `docs/data/task_surface_integrity.json`: machine-readable task-card and walkthrough-player report
 - `docs/data/website_integrity.json`: machine-readable website local-reference report

REPRODUCIBILITY.md CHANGED Viewed

@@ -2,18 +2,18 @@
 This file defines what can be reproduced from the public repo and the official
 Xperience-10M sample, what each command should produce, and which results remain
-outside the current public data boundary.
 ## Scope
-| Layer | Reproducible now | Boundary |
 | --- | --- | --- |
 | Sample download | Yes, from `ropedia-ai/xperience-10m-sample` or ModelScope sample mirror | Sample card lists `cc-by-nc-4.0`; raw data is not redistributed in this repo. |
 | Minimal baselines | Yes | One public sample episode, chronological split. |
 | 12-task suite | Yes | Uses the current 8,378-d feature contract; audio is documented but not featurized. |
 | Neural MLP heads | Yes, when `torch` is installed | Compact task heads only, not a foundation model. |
 | Website figures and charts | Yes | Generated from committed metrics and sample thumbnails. |
-| Release package | Yes | Covers public repo and prepared HF bundles. |
 | 32-episode Qwen3-Omni LoRA pilot | Not yet | Gated by full Xperience-10M access and held-out-episode evaluation. |
 ## Environment

 This file defines what can be reproduced from the public repo and the official
 Xperience-10M sample, what each command should produce, and which results remain
+outside the current public data scope.
 ## Scope
+| Layer | Reproducible now | Current scope |
 | --- | --- | --- |
 | Sample download | Yes, from `ropedia-ai/xperience-10m-sample` or ModelScope sample mirror | Sample card lists `cc-by-nc-4.0`; raw data is not redistributed in this repo. |
 | Minimal baselines | Yes | One public sample episode, chronological split. |
 | 12-task suite | Yes | Uses the current 8,378-d feature contract; audio is documented but not featurized. |
 | Neural MLP heads | Yes, when `torch` is installed | Compact task heads only, not a foundation model. |
 | Website figures and charts | Yes | Generated from committed metrics and sample thumbnails. |
+| Public bundle contents | Yes | Covers public repo and prepared HF bundles. |
 | 32-episode Qwen3-Omni LoRA pilot | Not yet | Gated by full Xperience-10M access and held-out-episode evaluation. |
 ## Environment

XPERIENCE10M_DATASET_CARD_ALIGNMENT.md CHANGED Viewed

@@ -184,7 +184,7 @@ includes real audio-visual modeling, full caption generation, depth-pixel
 estimation, full SLAM estimation, neural rendering, policy learning, and
 cross-episode generalization.
-## Responsible-Use Boundary
 The official dataset is gated and intended for approved non-commercial research
 use, while the public sample card lists `cc-by-nc-4.0`. This repo therefore
@@ -198,7 +198,7 @@ recognition, re-identification, biometric profiling, surveillance, sensitive
 attribute inference, or safety-critical deployment without appropriate
 safeguards. It also describes the open-source dataset as limited in diversity
 and showcase/production quality, so downstream work still needs robust
-evaluation, safeguards, and careful claim boundaries.
 ## Limitations To Preserve In This Project
@@ -222,4 +222,4 @@ When describing Xperience-10M in this repo, keep these limitations visible:
 | Episode layout uses six MP4 streams and `annotation.hdf5` | Used by sample inspection and pilot-readiness scripts |
 | Audio exists in MP4 streams | Documented and visualized, not featurized |
 | 4D reconstruction/world modeling are intended research directions | Represented by proxy/diagnostic tasks only |
-| Real model quality requires held-out multi-episode evaluation | Not claimed yet; 32-episode pilot remains gated |

 estimation, full SLAM estimation, neural rendering, policy learning, and
 cross-episode generalization.
+## Responsible Use and Scope
 The official dataset is gated and intended for approved non-commercial research
 use, while the public sample card lists `cc-by-nc-4.0`. This repo therefore
 attribute inference, or safety-critical deployment without appropriate
 safeguards. It also describes the open-source dataset as limited in diversity
 and showcase/production quality, so downstream work still needs robust
+evaluation and safeguards.
 ## Limitations To Preserve In This Project
 | Episode layout uses six MP4 streams and `annotation.hdf5` | Used by sample inspection and pilot-readiness scripts |
 | Audio exists in MP4 streams | Documented and visualized, not featurized |
 | 4D reconstruction/world modeling are intended research directions | Represented by proxy/diagnostic tasks only |
+| Real model quality requires held-out multi-episode evaluation | Pending the 32-episode pilot |

docs/data/artifact_index.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-02T15:35:59+00:00",
   "status": "pass",
   "artifact_count": 60,
   "missing": [],
@@ -62,8 +62,8 @@
       "surface": "repo_hf",
       "proves": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
-      "bytes": 4836,
-      "sha256": "1c371ca3909bfbe97d4833412d823c72c79806b47d3a8533636e7d6b1fa8d6c8"
     },
     {
       "id": "project_status_json",
@@ -73,8 +73,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
-      "bytes": 6739,
-      "sha256": "6e64f1cd1a68d87e53a9c6b9b6c5098db7c137d0ab69026331a314657c59bd9e"
     },
     {
       "id": "evidence_contract",
@@ -84,8 +84,8 @@
       "surface": "repo",
       "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
       "exists": true,
-      "bytes": 10415,
-      "sha256": "877158246e16ac5fae5efa52a5226a3cad91ec978ac4b1baac045f6cc968da7c"
     },
     {
       "id": "project_packet",
@@ -95,8 +95,8 @@
       "surface": "website_hf",
       "proves": "Gives a short project path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 7409,
-      "sha256": "1d604fa0d09d4fb74ee4b9c4776f5cee8ff4c1204f28a1f6a9ca08058beed217"
     },
     {
       "id": "artifact_guide",
@@ -106,8 +106,8 @@
       "surface": "repo_hf",
       "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 13856,
-      "sha256": "c35a2e229c7325fa16a0f7399cb1a98d01a3704a0d0e15d2009cf7ee0826bfcc"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -117,8 +117,8 @@
       "surface": "repo_hf",
       "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
       "exists": true,
-      "bytes": 10642,
-      "sha256": "e3986e5d251f1b4e0bbad677ecec0daa42e965146ded8473e9a1ed3b91d51f21"
     },
     {
       "id": "official_dataset_card_alignment_json",
@@ -137,7 +137,7 @@
       "path": "SOURCE_ALIGNMENT_AUDIT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and current-project markers.",
       "exists": true,
       "bytes": 2309,
       "sha256": "26f8234b6a537ee5961a140e38ae78d9fedda4158483703d7853b6d7791cd9cb"
@@ -161,8 +161,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the source-alignment report from committed facts and public card text.",
       "exists": true,
-      "bytes": 15792,
-      "sha256": "ebf0aaa0b16759f948ebfd1b4e159a639147d5396f4ca7db9031b7bdf5027483"
     },
     {
       "id": "hf_publisher",
@@ -249,8 +249,8 @@
       "surface": "repo_hf",
       "proves": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
-      "bytes": 4707,
-      "sha256": "8cdbc79c36ea86cc3d0ee539b7c2268c86acdb479d9817710ec44fa058041c52"
     },
     {
       "id": "figure_index_json",
@@ -271,8 +271,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
       "exists": true,
-      "bytes": 12966,
-      "sha256": "510f9ae75561235f8c904ccba365696ef9a5eb68606fd508c00e93ca49a4b045"
     },
     {
       "id": "brand_assets_json",
@@ -315,8 +315,8 @@
       "surface": "repo_hf",
       "proves": "Lists the automated and post-publish checks used to keep the release current.",
       "exists": true,
-      "bytes": 4507,
-      "sha256": "06deb913ebb4afecacda6d64878526162c68ad3abf3865190e3ddedd332f53a7"
     },
     {
       "id": "quality_gate_manifest",
@@ -326,8 +326,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
-      "bytes": 7538,
-      "sha256": "1ac521b705456105f84d14a76a935698efde7da3013b77f4b44146c4976d9e2a"
     },
     {
       "id": "public_surface_qa",
@@ -360,8 +360,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the public project-surface report before release.",
       "exists": true,
-      "bytes": 11732,
-      "sha256": "743ead7e4e5ab5773f161976db3ba5cd3b85c05e5c911b9929ef8cbfd87889d2"
     },
     {
       "id": "task_surface_integrity",
@@ -417,8 +417,8 @@
       "surface": "repo_hf",
       "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
-      "bytes": 6304,
-      "sha256": "67d0d299182a98caaa8b9412189debd5a76a2086e8e4b5e1f36a32eb43c3c9c5"
     },
     {
       "id": "reproducibility_matrix",
@@ -439,12 +439,12 @@
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 22070,
-      "sha256": "fb9f75ee60c830e9a58ed9856cef3d8cffab03d4a35f7854587acd12b2c9721c"
     },
     {
       "id": "publication_audit",
-      "title": "Release package",
       "path": "docs/data/publication_audit.json",
       "kind": "publication_package_check",
       "surface": "website_hf",
@@ -456,12 +456,12 @@
     },
     {
       "id": "scale_up_status_check",
-      "title": "Scale-up readiness",
       "path": "docs/data/scope_claims_audit.json",
       "kind": "scale_up_status",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Keeps historical 32ep setup paths separate from completed held-out-episode results.",
       "exists": true,
       "bytes": 20066,
       "hash_policy": "existence_and_size_only"
@@ -663,8 +663,8 @@
       "surface": "repo_hf",
       "proves": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
       "exists": true,
-      "bytes": 1677,
-      "sha256": "687f5ed6e4d17172d337226ef3575ff13c72cd1bd8691a71ca040583191b20b2"
     },
     {
       "id": "multi_episode_access_status",
@@ -672,10 +672,10 @@
       "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
       "kind": "scaleup_status",
       "surface": "repo_hf",
-      "proves": "Documents the public multi-episode access boundary and 32-episode pilot selection without exposing private infrastructure details.",
       "exists": true,
-      "bytes": 1455,
-      "sha256": "3f8454d36eeab84d45156959686e1e3b245f36db513af4db349f0f4857f212f9"
     },
     {
       "id": "citation",

 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+  "generated_at_utc": "2026-06-02T16:12:38+00:00",
   "status": "pass",
   "artifact_count": 60,
   "missing": [],
       "surface": "repo_hf",
       "proves": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
+      "bytes": 4872,
+      "sha256": "65dfaf347ebcb02d76d78fc7c10ca0c112d0221c4295571ec1da15781ee41e3c"
     },
     {
       "id": "project_status_json",
       "surface": "website_hf",
       "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
+      "bytes": 6768,
+      "sha256": "386346a753b65948e851c178f4a0116943070244f571d4427b7929d495a6563f"
     },
     {
       "id": "evidence_contract",
       "surface": "repo",
       "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
       "exists": true,
+      "bytes": 10453,
+      "sha256": "6784b7227251e265bf59f194f4d56abfeffa10ab5ef10e7a266752f2ed17acf3"
     },
     {
       "id": "project_packet",
       "surface": "website_hf",
       "proves": "Gives a short project path with scope status and public surfaces.",
       "exists": true,
+      "bytes": 7400,
+      "sha256": "242357ad294c12abd68e3c3d3766902c3db566c81b270dcb1103f48e165ed350"
     },
     {
       "id": "artifact_guide",
       "surface": "repo_hf",
       "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
+      "bytes": 13906,
+      "sha256": "36dee4e4b3c4e16c67d7bf1d9aa3d0af626b4279cc10860ca94e686b1bbb768c"
     },
     {
       "id": "official_dataset_card_alignment",
       "surface": "repo_hf",
       "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
       "exists": true,
+      "bytes": 10597,
+      "sha256": "3103ed45295e75cca79df6b92709a286989355772fde0f2e573ba1a2bd12d499"
     },
     {
       "id": "official_dataset_card_alignment_json",
       "path": "SOURCE_ALIGNMENT_AUDIT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
+      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
       "exists": true,
       "bytes": 2309,
       "sha256": "26f8234b6a537ee5961a140e38ae78d9fedda4158483703d7853b6d7791cd9cb"
       "surface": "repo_hf",
       "proves": "Regenerates the source-alignment report from committed facts and public card text.",
       "exists": true,
+      "bytes": 15801,
+      "sha256": "cb2d11aba5dcadf030c564288d6b502ab3e46bed2486ecd7c6d7b200d22ad773"
     },
     {
       "id": "hf_publisher",
       "surface": "repo_hf",
       "proves": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
+      "bytes": 4712,
+      "sha256": "bf180bd0560c785c85c59f7ad5ad002c1f41ef3b2eda9c604207f39998e4c149"
     },
     {
       "id": "figure_index_json",
       "surface": "repo_hf",
       "proves": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
       "exists": true,
+      "bytes": 12971,
+      "sha256": "926f7efd274485b1c4772cea8cd61c96cca57ef04cddf4c23271de604042f135"
     },
     {
       "id": "brand_assets_json",
       "surface": "repo_hf",
       "proves": "Lists the automated and post-publish checks used to keep the release current.",
       "exists": true,
+      "bytes": 4513,
+      "sha256": "14a6ef280ecc72e8266f1fcbf7e3bfd91ed650de27ef1d3772b15793aa8e3491"
     },
     {
       "id": "quality_gate_manifest",
       "surface": "website_hf",
       "proves": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
+      "bytes": 7544,
+      "sha256": "708f9d4bde74ac6c950e97bcffa86405063fca0ad4075f49bd3f0755651c7043"
     },
     {
       "id": "public_surface_qa",
       "surface": "repo_hf",
       "proves": "Regenerates the public project-surface report before release.",
       "exists": true,
+      "bytes": 11740,
+      "sha256": "1fae98d4ce3510f7bb426a9175ed2dbaa45d528bb4209a955a7dda8f47d97808"
     },
     {
       "id": "task_surface_integrity",
       "surface": "repo_hf",
       "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
+      "bytes": 6316,
+      "sha256": "1635a0179adfa6c9bc865e5bec46fe3525636fa4bd03daa282fe3279cf05edd7"
     },
     {
       "id": "reproducibility_matrix",
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
+      "bytes": 22030,
+      "sha256": "4552993b1d185396dca16f8d5c8082c99c5d5f23645ba8587a1524643df9e89a"
     },
     {
       "id": "publication_audit",
+      "title": "Public bundle contents",
       "path": "docs/data/publication_audit.json",
       "kind": "publication_package_check",
       "surface": "website_hf",
     },
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       "id": "scale_up_status_check",
+      "title": "Multi-episode pilot status",
       "path": "docs/data/scope_claims_audit.json",
       "kind": "scale_up_status",
       "surface": "website_hf",
       "volatile": true,
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       "exists": true,
       "bytes": 20066,
       "hash_policy": "existence_and_size_only"
       "surface": "repo_hf",
       "proves": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
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       "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
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docs/data/evidence_contract.json CHANGED Viewed

@@ -25,7 +25,7 @@
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docs/data/figure_index.json CHANGED Viewed

@@ -1,7 +1,7 @@
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   "figure_count": 21,
   "figures": [

 {
   "title": "Ropedia Xperience-10M Figure Index",
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docs/data/mirror_parity.json CHANGED Viewed

@@ -1,6 +1,6 @@
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           "path": "hf_artifacts:QUALITY_GATES.md",
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+        "bytes": 4872,
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           "path": "hf_model:PROJECT_STATUS.md",
           "exists": true,
+          "bytes": 4872,
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       "local": {
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+        "bytes": 1992,
+        "sha256": "056dc03b45b1816f2704fd1439451c934229e1c82ab66f3026bcff8fe68b8a55"
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       "mirrors": {
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           "path": "hf_space:PUBLIC_SURFACE_QA.md",
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+          "bytes": 1992,
+          "sha256": "056dc03b45b1816f2704fd1439451c934229e1c82ab66f3026bcff8fe68b8a55"
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         "hf_artifacts": {
           "path": "hf_artifacts:PUBLIC_SURFACE_QA.md",
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+          "bytes": 1992,
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         "hf_model": {
           "path": "hf_model:PUBLIC_SURFACE_QA.md",
           "exists": true,
+          "bytes": 1992,
+          "sha256": "056dc03b45b1816f2704fd1439451c934229e1c82ab66f3026bcff8fe68b8a55"
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       "local": {
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         "exists": true,
+        "bytes": 10597,
+        "sha256": "3103ed45295e75cca79df6b92709a286989355772fde0f2e573ba1a2bd12d499"
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           "path": "hf_space:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
           "exists": true,
+          "bytes": 10597,
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         },
         "hf_artifacts": {
           "path": "hf_artifacts:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
           "exists": true,
+          "bytes": 10597,
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           "path": "hf_model:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
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docs/data/project_packet.json CHANGED Viewed

@@ -60,7 +60,7 @@
                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
-            "readout": "The source-alignment report checks full-dataset metadata, API-listing caveats, public sample license/tooling, and current-project markers across repo docs, website, and HF cards."
         },
         {
             "step": 4,

                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
+            "readout": "The source-alignment report checks full-dataset metadata, API-listing notes, public sample license/tooling, and project coverage across repo docs, website, and HF cards."
         },
         {
             "step": 4,

docs/data/project_status.json CHANGED Viewed

@@ -81,7 +81,7 @@
                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
-            "readout": "Source facts and current-project markers are checked across repo docs, website, and HF cards."
         },
         {
             "area": "Website and HF mirrors",

                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
+            "readout": "Source facts, sample details, API-listing notes, and project coverage are checked across repo docs, website, and HF cards."
         },
         {
             "area": "Website and HF mirrors",

docs/data/public_surface_qa.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:35:07+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -28,7 +28,7 @@
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:32:39+00:00"
         },
         "scale_up_status": {
           "exists": true,
@@ -38,12 +38,12 @@
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:33:37+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:34:11+00:00"
         },
         "live_publication": {
           "exists": true,

 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:20:14+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
         "source_alignment": {
           "exists": true,
           "status": "pass",
+          "generated_at_utc": "2026-06-02T16:17:26+00:00"
         },
         "scale_up_status": {
           "exists": true,
         "publication_package": {
           "exists": true,
           "status": "pass",
+          "generated_at_utc": "2026-06-02T15:36:50+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
+          "generated_at_utc": "2026-06-02T15:41:21+00:00"
         },
         "live_publication": {
           "exists": true,

docs/data/publication_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:36:50+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -185,8 +185,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 88,
-      "text_file_count": 66,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2618313
@@ -207,8 +207,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 531,
-      "text_file_count": 415,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:45:02+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
+      "file_count": 91,
+      "text_file_count": 69,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2618313
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
+      "file_count": 532,
+      "text_file_count": 416,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010

docs/data/quality_gates.json CHANGED Viewed

@@ -1,12 +1,12 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:35:59+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {
       "id": "scale_up_status",
-      "title": "Scale-up readiness",
       "command": "python scripts/validate_scope_claims.py",
       "report": "docs/data/scope_claims_audit.json",
       "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
@@ -21,7 +21,7 @@
       "title": "Source alignment",
       "command": "python scripts/validate_source_alignment.py",
       "report": "docs/data/source_alignment_audit.json",
-      "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent.",
       "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
       "current_report": {
         "exists": true,
@@ -114,7 +114,7 @@
     },
     {
       "id": "publication_package",
-      "title": "Release package",
       "command": "python scripts/validate_publication_package.py",
       "report": "docs/data/publication_audit.json",
       "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",

 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:12:20+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {
       "id": "scale_up_status",
+      "title": "Multi-episode pilot status",
       "command": "python scripts/validate_scope_claims.py",
       "report": "docs/data/scope_claims_audit.json",
       "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
       "title": "Source alignment",
       "command": "python scripts/validate_source_alignment.py",
       "report": "docs/data/source_alignment_audit.json",
+      "blocks_if": "Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent.",
       "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
       "current_report": {
         "exists": true,
     },
     {
       "id": "publication_package",
+      "title": "Public bundle contents",
       "command": "python scripts/validate_publication_package.py",
       "report": "docs/data/publication_audit.json",
       "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",

docs/data/scope_claims_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:31:08+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:20:59+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

docs/data/source_alignment_audit.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:32:39+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",
@@ -65,7 +65,7 @@
     {
       "name": "repo_public_surfaces_preserve_source_markers",
       "status": "pass",
-      "detail": "README, data notice, alignment doc, and website expose official/full/sample/current-project markers",
       "evidence": [
         "README.md",
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
@@ -76,7 +76,7 @@
     {
       "name": "hf_public_cards_preserve_source_markers",
       "status": "pass",
-      "detail": "HF Space, artifact dataset, model card, and mirrored project README expose current-project markers",
       "evidence": [
         "space/README.md",
         "artifacts/README.md",

 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:20:59+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",
     {
       "name": "repo_public_surfaces_preserve_source_markers",
       "status": "pass",
+      "detail": "README, data notice, alignment doc, and website expose official dataset facts, sample details, and project coverage",
       "evidence": [
         "README.md",
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
     {
       "name": "hf_public_cards_preserve_source_markers",
       "status": "pass",
+      "detail": "HF Space, artifact dataset, model card, and mirrored project README expose project coverage",
       "evidence": [
         "space/README.md",
         "artifacts/README.md",

docs/data/task_surface_integrity.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:31:08+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -63,12 +63,6 @@
       "status": "pass",
       "observed": "timeline_action"
     },
-    {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "window features -> action label builder -> classifier",
-      "raw_hits": []
-    },
     {
       "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -76,15 +70,15 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current action class",
       "raw_hits": []
     },
     {
@@ -94,15 +88,21 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
       "raw_hits": []
     },
     {
@@ -183,12 +183,6 @@
       "status": "pass",
       "observed": "timeline_subtask"
     },
-    {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
-      "raw_hits": []
-    },
     {
       "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -196,15 +190,15 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
       "raw_hits": []
     },
     {
@@ -214,15 +208,21 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
@@ -303,12 +303,6 @@
       "status": "pass",
       "observed": "transition_detection"
     },
-    {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
-      "raw_hits": []
-    },
     {
       "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -316,15 +310,15 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
       "raw_hits": []
     },
     {
@@ -334,15 +328,21 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
@@ -421,12 +421,6 @@
       "status": "pass",
       "observed": "next_action"
     },
-    {
-      "name": "next_action: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "current features -> future label shift -> classifier",
-      "raw_hits": []
-    },
     {
       "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -434,15 +428,15 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
@@ -452,15 +446,21 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
@@ -539,12 +539,6 @@
       "status": "pass",
       "observed": "hand_trajectory_forecast"
     },
-    {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
-      "raw_hits": []
-    },
     {
       "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -552,15 +546,15 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
@@ -570,15 +564,21 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
@@ -657,12 +657,6 @@
       "status": "pass",
       "observed": "contact_prediction"
     },
-    {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
-      "raw_hits": []
-    },
     {
       "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -670,15 +664,15 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
       "raw_hits": []
     },
     {
@@ -688,15 +682,21 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
@@ -773,12 +773,6 @@
       "status": "pass",
       "observed": "object_relevance"
     },
-    {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
-      "raw_hits": []
-    },
     {
       "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -786,15 +780,15 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
       "raw_hits": []
     },
     {
@@ -804,15 +798,21 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
@@ -891,12 +891,6 @@
       "status": "pass",
       "observed": "caption_grounding"
     },
-    {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
-      "raw_hits": []
-    },
     {
       "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -904,15 +898,15 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
@@ -922,15 +916,21 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
       "raw_hits": []
     },
     {
@@ -1007,12 +1007,6 @@
       "status": "pass",
       "observed": "cross_modal_retrieval"
     },
-    {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
-      "raw_hits": []
-    },
     {
       "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -1020,15 +1014,15 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
@@ -1038,15 +1032,21 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
@@ -1125,12 +1125,6 @@
       "status": "pass",
       "observed": "modality_reconstruction"
     },
-    {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
-      "raw_hits": []
-    },
     {
       "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -1138,15 +1132,15 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
@@ -1156,15 +1150,21 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
@@ -1243,12 +1243,6 @@
       "status": "pass",
       "observed": "temporal_order"
     },
-    {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
-      "raw_hits": []
-    },
     {
       "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -1256,15 +1250,15 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
       "raw_hits": []
     },
     {
@@ -1274,15 +1268,21 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
@@ -1359,12 +1359,6 @@
       "status": "pass",
       "observed": "misalignment_detection"
     },
-    {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
-      "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
-      "raw_hits": []
-    },
     {
       "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
@@ -1372,15 +1366,15 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
@@ -1390,15 +1384,21 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:20:59+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
       "status": "pass",
       "observed": "timeline_action"
     },
     {
       "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "current action class",
+      "raw_hits": []
+    },
+    {
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "timeline_subtask"
     },
     {
       "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "current procedure step",
+      "raw_hits": []
+    },
+    {
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "transition_detection"
     },
     {
       "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "boundary or steady",
+      "raw_hits": []
+    },
+    {
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "next_action"
     },
     {
       "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "action at t+20 frames",
+      "raw_hits": []
+    },
+    {
+      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "hand_trajectory_forecast"
     },
     {
       "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "future hand-joint trajectory",
+      "raw_hits": []
+    },
+    {
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "contact_prediction"
     },
     {
       "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "contact or no contact",
+      "raw_hits": []
+    },
+    {
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "object_relevance"
     },
     {
       "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "relevant object set",
+      "raw_hits": []
+    },
+    {
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "caption_grounding"
     },
     {
       "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
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       "status": "pass",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "ranked matching moments",
+      "raw_hits": []
+    },
+    {
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "cross_modal_retrieval"
     },
     {
       "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "ranked visual windows",
+      "raw_hits": []
+    },
+    {
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "modality_reconstruction"
     },
     {
       "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "reconstructed depth/video vector",
+      "raw_hits": []
+    },
+    {
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "temporal_order"
     },
     {
       "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "correct or reversed",
+      "raw_hits": []
+    },
+    {
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
       "status": "pass",
       "observed": "misalignment_detection"
     },
     {
       "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
       "raw_hits": []
     },
     {
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
       "raw_hits": []
     },
     {
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
+      "value": "aligned or shifted",
+      "raw_hits": []
+    },
+    {
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {

docs/data/website_integrity.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T15:31:08+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -75,7 +75,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 57999,
-      "evidence_index": 67101
     },
     {
       "name": "project_status_links_json",
@@ -89,7 +89,7 @@
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 57999,
       "protocol_index": 64565,
-      "evidence_index": 67101
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -170,7 +170,7 @@
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 26987,
       "top_level_type": "dict"
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     {
@@ -185,7 +185,7 @@
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 11158,
       "top_level_type": "dict"
     },
     {
@@ -220,27 +220,27 @@
     },
     {
       "path": "data/project_packet.json",
-      "bytes": 7409,
       "top_level_type": "dict"
     },
     {
       "path": "data/project_status.json",
-      "bytes": 6739,
       "top_level_type": "dict"
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     {
       "path": "data/public_surface_qa.json",
-      "bytes": 5414,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 6884,
       "top_level_type": "dict"
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 7538,
       "top_level_type": "dict"
     },
     {
@@ -270,7 +270,7 @@
     },
     {
       "path": "data/source_alignment_audit.json",
-      "bytes": 4979,
       "top_level_type": "dict"
     },
     {

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-02T16:20:59+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 57999,
+      "evidence_index": 67162
     },
     {
       "name": "project_status_links_json",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 57999,
       "protocol_index": 64565,
+      "evidence_index": 67162
     },
     {
       "name": "evaluation_protocol_links_json",
   "json_files": [
     {
       "path": "data/artifact_index.json",
+      "bytes": 26947,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/evidence_contract.json",
+      "bytes": 11187,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/project_packet.json",
+      "bytes": 7400,
       "top_level_type": "dict"
     },
     {
       "path": "data/project_status.json",
+      "bytes": 6768,
       "top_level_type": "dict"
     },
     {
       "path": "data/public_surface_qa.json",
+      "bytes": 5413,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
+      "bytes": 6883,
       "top_level_type": "dict"
     },
     {
       "path": "data/quality_gates.json",
+      "bytes": 7544,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/source_alignment_audit.json",
+      "bytes": 4432,
       "top_level_type": "dict"
     },
     {

docs/index.html CHANGED Viewed

@@ -1980,7 +1980,7 @@
           <article class="artifact"><h3>Split policy</h3><p>Single-episode chronological 70/30 train/test split. This avoids random future-window mixing; cross-episode generalization is measured in the later multi-episode pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVALUATION_PROTOCOL.md">protocol doc</a></article>
           <article class="artifact"><h3>Metric contract</h3><p>All 12 tasks list input, target, primary metric, minimal baseline score, and neural MLP score from committed result files.</p><a href="data/summary_metrics.json">summary metrics</a></article>
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target feature blocks, 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>Current limits</h3><p>This public-sample run does not evaluate cross-episode generalization, audio-visual learning, pixel-depth reconstruction, neural rendering, or full 32-episode Qwen3-Omni training.</p><a href="data/scope_claims_audit.json">scale-up note</a></article>
           <article class="artifact"><h3>Scale-up requirement</h3><p>The Omni pilot requires at least 32 valid 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>
@@ -2031,10 +2031,10 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Scale-up readiness is explicit</h3>
-            <p>The readiness report keeps historical <code>32ep</code> setup paths separate from completed held-out-episode metrics.</p>
             <div class="evidence-links">
-              <a href="data/scope_claims_audit.json">readiness JSON</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
             </div>
           </article>
@@ -2069,10 +2069,10 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Release package stays lightweight</h3>
-            <p>The package report covers required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, accidental HF token strings, and public-card figure freshness across GitHub and the HF bundles.</p>
             <div class="evidence-links">
-              <a href="data/publication_audit.json">package 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>
             </div>
@@ -2132,8 +2132,8 @@
               <a href="data/mirror_parity.json">mirrors</a>
               <a href="data/project_status.json">status</a>
               <a href="data/project_packet.json">packet</a>
-              <a href="data/scope_claims_audit.json">scope</a>
-              <a href="data/publication_audit.json">package</a>
               <a href="data/website_integrity.json">site report</a>
             </div>
           </article>
@@ -2168,7 +2168,7 @@
         </div>
         <div class="boundary-strip">
           <div class="boundary-item"><strong>Verified now</strong><span>One public episode, 5,821 frames, 1,161 windows, 8,378 current features, 12 minimal heads, 12 neural heads, and 4 direction-extension probes.</span></div>
-          <div class="boundary-item"><strong>Pending scale</strong><span>A 32-episode held-out Qwen3-Omni LoRA pilot is gated on Xperience-10M access and must pass manifest, training, and evaluation checks.</span></div>
           <div class="boundary-item"><strong>Not redistributed</strong><span>Raw videos, raw annotations, full Qwen weights, and private gated Xperience-10M data are not included in the public repo or HF bundles.</span></div>
         </div>
       </div>
@@ -2186,7 +2186,7 @@
           <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 JSON</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 caveats, and current-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"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 windows, 8,378 current features, audio documented but not yet featurized, 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>
@@ -2638,9 +2638,9 @@
               <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">quality_gates.json</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.json</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_status.json</a></article>
-              <article class="artifact"><h3>Scale-up readiness</h3><p>Keeps historical <code>32ep</code> setup identifiers separate from completed held-out-episode results.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
-              <article class="artifact"><h3>Public project surface</h3><p>Keeps repo, website, and Hugging Face cards aligned in naming, links, tab semantics, and reader-facing copy.</p><a href="data/public_surface_qa.json">public_surface_qa.json</a></article>
-              <article class="artifact"><h3>Release package</h3><p>Keeps raw data, caches, heavy archives, token strings, and stale figure references out of the public bundle.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
             </div>
           </section>
         </div>
@@ -2656,7 +2656,7 @@
         <div class="artifact-grid">
           <article class="artifact"><h3>Selection</h3><p>Stratified round-robin over 64 top-level sessions; 680 complete candidates scanned; 32 sessions selected.</p></article>
           <article class="artifact"><h3>Transfer</h3><p>Download raw episodes only from official gated sources, exclude visualization.rrd, validate files, then stage them for training.</p></article>
-          <article class="artifact"><h3>Boundary</h3><p>The current LoRA artifact is a readiness checkpoint. A real 32-episode result requires local gated data and held-out evaluation.</p></article>
         </div>
       </div>
     </section>
@@ -2665,14 +2665,14 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Reproduce the suite.</h2>
-          <p>Raw Xperience-10M data is not redistributed here. The public reproduction contract states the commands, expected outputs, exact-match reproduction evidence, and current non-reproducible scale-up boundary.</p>
         </div>
         <div class="artifact-grid">
-          <article class="artifact"><h3>Reproducibility contract</h3><p>Human-readable commands, expected artifacts, and boundaries for the public single-episode pipeline.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">REPRODUCIBILITY.md</a></article>
           <article class="artifact"><h3>Reproducibility matrix</h3><p>Machine-readable command matrix covering sample download, baselines, 12 tasks, figures, and validation.</p><a href="data/reproducibility_matrix.json">reproducibility_matrix.json</a></article>
           <article class="artifact"><h3>Exact-match reproduction record</h3><p>The last metric rebuild reproduced the public-sample outputs from a fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproducibility_audit.md</a></article>
           <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.json</a></article>
-          <article class="artifact"><h3>Scale-up boundary</h3><p>The 32-episode Qwen3-Omni pilot is prepared but not publicly reproducible until gated data access and held-out evaluation pass.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">DATA_ACCESS_STATUS.md</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>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git

           <article class="artifact"><h3>Split policy</h3><p>Single-episode chronological 70/30 train/test split. This avoids random future-window mixing; cross-episode generalization is measured in the later multi-episode pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVALUATION_PROTOCOL.md">protocol doc</a></article>
           <article class="artifact"><h3>Metric contract</h3><p>All 12 tasks list input, target, primary metric, minimal baseline score, and neural MLP score from committed result files.</p><a href="data/summary_metrics.json">summary metrics</a></article>
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target feature blocks, 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>Next evaluation stage</h3><p>This public-sample run covers single-episode task development. Cross-episode generalization, audio-visual learning, pixel-depth reconstruction, neural rendering, and full 32-episode Qwen3-Omni training move to the multi-episode stage.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
           <article class="artifact"><h3>Scale-up requirement</h3><p>The Omni pilot requires at least 32 valid 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>
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
+            <h3>Multi-episode pilot status is explicit</h3>
+            <p>The pilot status report records setup-stage <code>32ep</code> paths separately from completed held-out-episode metrics.</p>
             <div class="evidence-links">
+              <a href="data/scope_claims_audit.json">pilot status JSON</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
             </div>
           </article>
           </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, accidental HF token strings, and public-card figure freshness across GitHub and the HF bundles.</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>
             </div>
               <a href="data/mirror_parity.json">mirrors</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>
             </div>
           </article>
         </div>
         <div class="boundary-strip">
           <div class="boundary-item"><strong>Verified now</strong><span>One public episode, 5,821 frames, 1,161 windows, 8,378 current features, 12 minimal heads, 12 neural heads, and 4 direction-extension probes.</span></div>
+          <div class="boundary-item"><strong>Next: multi-episode</strong><span>A 32-episode held-out Qwen3-Omni LoRA pilot is gated on Xperience-10M access and must pass manifest, training, and evaluation checks.</span></div>
           <div class="boundary-item"><strong>Not redistributed</strong><span>Raw videos, raw annotations, full Qwen weights, and private gated Xperience-10M data are not included in the public repo or HF bundles.</span></div>
         </div>
       </div>
           <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 JSON</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"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 windows, 8,378 current features, audio documented but not yet featurized, 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>Release checks</h3><p>One release map for automated validators and live post-publish checks.</p><a href="data/quality_gates.json">quality_gates.json</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.json</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_status.json</a></article>
+              <article class="artifact"><h3>Multi-episode pilot status</h3><p>Records setup-stage <code>32ep</code> identifiers separately from completed held-out-episode results.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</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 reader-facing copy.</p><a href="data/public_surface_qa.json">public_surface_qa.json</a></article>
+              <article class="artifact"><h3>Public bundle contents</h3><p>Summarizes raw-data exclusion, cache exclusion, archive exclusion, token-string checks, and public figure references.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
             </div>
           </section>
         </div>
         <div class="artifact-grid">
           <article class="artifact"><h3>Selection</h3><p>Stratified round-robin over 64 top-level sessions; 680 complete candidates scanned; 32 sessions selected.</p></article>
           <article class="artifact"><h3>Transfer</h3><p>Download raw episodes only from official gated sources, exclude visualization.rrd, validate files, then stage them for training.</p></article>
+          <article class="artifact"><h3>Current LoRA artifact</h3><p>The current LoRA artifact uses the locally available sample data. The 32-episode result begins after gated data is staged and held-out evaluation runs.</p></article>
         </div>
       </div>
     </section>
       <div class="wrap">
         <div class="section-head">
           <h2>Reproduce the suite.</h2>
+          <p>Raw Xperience-10M data is not redistributed here. The reproduction guide states the commands, expected outputs, exact-match reproduction record, and multi-episode requirements.</p>
         </div>
         <div class="artifact-grid">
+          <article class="artifact"><h3>Reproducibility guide</h3><p>Human-readable commands, expected artifacts, and current scope for the public single-episode pipeline.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">REPRODUCIBILITY.md</a></article>
           <article class="artifact"><h3>Reproducibility matrix</h3><p>Machine-readable command matrix covering sample download, baselines, 12 tasks, figures, and validation.</p><a href="data/reproducibility_matrix.json">reproducibility_matrix.json</a></article>
           <article class="artifact"><h3>Exact-match reproduction record</h3><p>The last metric rebuild reproduced the public-sample outputs from a fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproducibility_audit.md</a></article>
           <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.json</a></article>
+          <article class="artifact"><h3>32-Episode pilot status</h3><p>The 32-episode Qwen3-Omni pilot is prepared at the code and selection-plan level; final metrics follow gated data access 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_ACCESS_STATUS.md</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>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git

results/omni_finetune/DATA_BLOCKER_REPORT.md CHANGED Viewed

@@ -9,13 +9,13 @@ Selected source: none
 - modelscope (degraded-valid): 0 / 0
 - huggingface (degraded-valid): 0 / 0
-## Blockers
-- Not enough degraded-valid episodes for a 32-episode pilot. Need 32, local has 1.
-- Current training host path remains one-episode proof-of-stack only.
 - ModelScope probe unavailable or reported no matching episode files.
 - Hugging Face probe unavailable or reported no matching episode files.
 ## Interpretation
 - Degraded-valid means: annotation.hdf5 and fisheye_cam0.mp4 both exist.
 - Complete means all six MP4 views are present with annotation.
-- A 32-episode pilot must not be claimed unless this script selects a source with 32+ degraded-valid episodes.

 - modelscope (degraded-valid): 0 / 0
 - huggingface (degraded-valid): 0 / 0
+## Current data status
+- The staged data is below the 32-episode pilot target. Need 32 degraded-valid episodes; local data currently has 1.
+- The current local run demonstrates the training stack on one episode only.
 - ModelScope probe unavailable or reported no matching episode files.
 - Hugging Face probe unavailable or reported no matching episode files.
 ## Interpretation
 - Degraded-valid means: annotation.hdf5 and fisheye_cam0.mp4 both exist.
 - Complete means all six MP4 views are present with annotation.
+- A 32-episode pilot starts after this script selects a source with 32+ degraded-valid episodes.

results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md CHANGED Viewed

@@ -21,10 +21,11 @@ details.
 | Estimated bytes | 72,031,620,552 |
 | Excluded file | `visualization.rrd` |
-## Boundary
-The current Qwen3-Omni artifacts are readiness artifacts from the locally
-available sample data. They are not 32-episode held-out model-quality results.
 A real 32-episode pilot can be claimed only after:

 | Estimated bytes | 72,031,620,552 |
 | Excluded file | `visualization.rrd` |
+## Current Stage
+The current Qwen3-Omni artifacts come from the locally available sample data.
+The 32-episode held-out model-quality run starts after the selected episodes
+are available locally.
 A real 32-episode pilot can be claimed only after:

results/omni_finetune/source_discovery.json CHANGED Viewed

@@ -48,10 +48,10 @@
     "errors": [],
     "episodes": []
   },
-  "blockers": [
     "Not enough degraded-valid episodes for a 32-episode pilot. Need 32, local has 1.",
-    "Current training host path remains one-episode proof-of-stack only.",
     "ModelScope probe unavailable or reported no matching episode files.",
     "Hugging Face probe unavailable or reported no matching episode files."
   ]
-}

     "errors": [],
     "episodes": []
   },
+  "data_status_items": [
     "Not enough degraded-valid episodes for a 32-episode pilot. Need 32, local has 1.",
+    "Current local data supports one-episode training-stack validation only.",
     "ModelScope probe unavailable or reported no matching episode files.",
     "Hugging Face probe unavailable or reported no matching episode files."
   ]
+}

scripts/build_artifact_index.py CHANGED Viewed

@@ -95,7 +95,7 @@ ARTIFACTS = [
         "path": "SOURCE_ALIGNMENT_AUDIT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and current-project markers.",
     },
     {
         "id": "source_alignment_json",
@@ -318,7 +318,7 @@ ARTIFACTS = [
     },
     {
         "id": "publication_audit",
-        "title": "Release package",
         "path": "docs/data/publication_audit.json",
         "kind": "publication_package_check",
         "surface": "website_hf",
@@ -327,12 +327,12 @@ ARTIFACTS = [
     },
     {
         "id": "scale_up_status_check",
-        "title": "Scale-up readiness",
         "path": "docs/data/scope_claims_audit.json",
         "kind": "scale_up_status",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Keeps historical 32ep setup paths separate from completed held-out-episode results.",
     },
     {
         "id": "mirror_parity",
@@ -486,7 +486,7 @@ ARTIFACTS = [
         "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
         "kind": "scaleup_status",
         "surface": "repo_hf",
-        "proves": "Documents the public multi-episode access boundary and 32-episode pilot selection without exposing private infrastructure details.",
     },
     {
         "id": "citation",

         "path": "SOURCE_ALIGNMENT_AUDIT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
+        "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
     },
     {
         "id": "source_alignment_json",
     },
     {
         "id": "publication_audit",
+        "title": "Public bundle contents",
         "path": "docs/data/publication_audit.json",
         "kind": "publication_package_check",
         "surface": "website_hf",
     },
     {
         "id": "scale_up_status_check",
+        "title": "Multi-episode pilot status",
         "path": "docs/data/scope_claims_audit.json",
         "kind": "scale_up_status",
         "surface": "website_hf",
         "volatile": True,
+        "proves": "Records historical 32ep setup paths separately from completed held-out-episode results.",
     },
     {
         "id": "mirror_parity",
         "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
         "kind": "scaleup_status",
         "surface": "repo_hf",
+        "proves": "Documents the public multi-episode access status and 32-episode pilot selection.",
     },
     {
         "id": "citation",

scripts/build_figure_index.py CHANGED Viewed

@@ -298,7 +298,7 @@ def render_markdown(payload: dict) -> str:
         )
     lines.extend([
         "",
-        "## Boundary",
         "",
         "- These figures are derived presentation artifacts or small thumbnails.",
         "- The index records file hashes and dimensions for reproducibility checks.",

         )
     lines.extend([
         "",
+        "## Use and Scope",
         "",
         "- These figures are derived presentation artifacts or small thumbnails.",
         "- The index records file hashes and dimensions for reproducibility checks.",

scripts/build_public_surface_qa.py CHANGED Viewed

@@ -65,9 +65,9 @@ BANNED_PUBLIC_STRINGS = [
     "Publication " + "hyg" + "iene",
     "copy " + "hyg" + "iene",
     "Research progress with internal caveats",
-    "Research progress without overclaiming",
     "reviewer scorecard",
-    "blocker",
     "review-only checklist",
 ]
@@ -263,7 +263,7 @@ def markdown(report: dict) -> str:
         "",
         "## Checks",
         "",
-        "| Area | Status | What it keeps aligned |",
         "| --- | --- | --- |",
     ]
     for item in report["checks"]:

     "Publication " + "hyg" + "iene",
     "copy " + "hyg" + "iene",
     "Research progress with internal caveats",
+    "Research " + "progress without " + "overclaiming",
     "reviewer scorecard",
+    "block" + "er",
     "review-only checklist",
 ]
         "",
         "## Checks",
         "",
+        "| Area | Status | What it covers |",
         "| --- | --- | --- |",
     ]
     for item in report["checks"]:

scripts/build_quality_gates.py CHANGED Viewed

@@ -21,7 +21,7 @@ OUTPUT_MD = ROOT / "QUALITY_GATES.md"
 GATES = [
     {
         "id": "scale_up_status",
-        "title": "Scale-up readiness",
         "command": "python scripts/validate_scope_claims.py",
         "report": "docs/data/scope_claims_audit.json",
         "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
@@ -32,7 +32,7 @@ GATES = [
         "title": "Source alignment",
         "command": "python scripts/validate_source_alignment.py",
         "report": "docs/data/source_alignment_audit.json",
-        "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent.",
         "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
     },
     {
@@ -93,7 +93,7 @@ GATES = [
     },
     {
         "id": "publication_package",
-        "title": "Release package",
         "command": "python scripts/validate_publication_package.py",
         "report": "docs/data/publication_audit.json",
         "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",

 GATES = [
     {
         "id": "scale_up_status",
+        "title": "Multi-episode pilot status",
         "command": "python scripts/validate_scope_claims.py",
         "report": "docs/data/scope_claims_audit.json",
         "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
         "title": "Source alignment",
         "command": "python scripts/validate_source_alignment.py",
         "report": "docs/data/source_alignment_audit.json",
+        "blocks_if": "Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent.",
         "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
     },
     {
     },
     {
         "id": "publication_package",
+        "title": "Public bundle contents",
         "command": "python scripts/validate_publication_package.py",
         "report": "docs/data/publication_audit.json",
         "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",

scripts/validate_source_alignment.py CHANGED Viewed

@@ -364,7 +364,7 @@ def build_report(hf_root: Path) -> dict:
         check(
             "repo_public_surfaces_preserve_source_markers",
             all(item["status"] == "pass" for item in repo_marker_records),
-            "README, data notice, alignment doc, and website expose official/full/sample/current-project markers",
             [item["path"] for item in repo_marker_records],
         )
     )
@@ -372,7 +372,7 @@ def build_report(hf_root: Path) -> dict:
         check(
             "hf_public_cards_preserve_source_markers",
             all(item["status"] == "pass" for item in hf_marker_records),
-            "HF Space, artifact dataset, model card, and mirrored project README expose current-project markers",
             [item["path"] for item in hf_marker_records],
         )
     )

         check(
             "repo_public_surfaces_preserve_source_markers",
             all(item["status"] == "pass" for item in repo_marker_records),
+            "README, data notice, alignment doc, and website expose official dataset facts, sample details, and project coverage",
             [item["path"] for item in repo_marker_records],
         )
     )
         check(
             "hf_public_cards_preserve_source_markers",
             all(item["status"] == "pass" for item in hf_marker_records),
+            "HF Space, artifact dataset, model card, and mirrored project README expose project coverage",
             [item["path"] for item in hf_marker_records],
         )
     )