Datasets:

cy0307
/

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

@@ -33,10 +33,12 @@ The project intentionally separates eight layers:
 | [`QUALITY_GATES.md`](QUALITY_GATES.md) | Lists the automated release gates and post-publish checks required before presenting a release as current. |
 | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and unsupported interpretations. |
 | [`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. |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
 | [`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json) | Machine-readable copy of the reviewer decision 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 unsupported claims. |
 | [`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 quality-gate summary for website and HF mirrors. |
 | [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json) | Last live GitHub/HF verification after upload. |
@@ -52,6 +54,9 @@ The project intentionally separates eight layers:
 | --- | --- |
 | [`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. |
 ## Evaluation Protocol

 | [`QUALITY_GATES.md`](QUALITY_GATES.md) | Lists the automated release gates and post-publish checks required before presenting a release as current. |
 | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and unsupported interpretations. |
 | [`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. |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
 | [`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json) | Machine-readable copy of the reviewer decision 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 unsupported claims. |
+| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable pass/fail audit for source facts and public-card boundary markers. |
 | [`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 quality-gate summary for website and HF mirrors. |
 | [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json) | Last live GitHub/HF verification after upload. |
 | --- | --- |
 | [`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 audit showing source facts, sample license/tooling, API-listing caveat, and current project boundary. |
+| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable audit of source metadata, source-boundary markers, and HF card parity. |
+| [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Regenerates the source-alignment audit from committed alignment facts and public card text. |
 ## Evaluation Protocol

EVIDENCE_CONTRACT.md CHANGED Viewed

@@ -7,6 +7,7 @@ local artifact that a reader can inspect before trusting the dashboard.
 | --- | --- | --- | --- |
 | A first-pass reviewer has a compact current-state scorecard. | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | Verified guide | Summarizes existing evidence and boundaries; it does not add new experimental claims |
 | 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 |
 | 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 |
 | The current feature contract is explicit and reviewable. | `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` | Verified for an 8,378-d feature vector | Audio is present in MP4 streams but not yet a feature block |
 | The task evaluation protocol is explicit and generated from committed metrics. | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Verified protocol | Defines windows, split, per-task metrics, leakage controls, and unsupported interpretations; does not prove cross-episode quality |
@@ -37,31 +38,34 @@ local artifact that a reader can inspect before trusting the dashboard.
 3. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
    `docs/data/xperience10m_dataset_card_alignment.json` to check the official
    dataset-card wording and how the current repo is scoped against it.
-4. Read `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` to
    check windowing, split policy, per-task metrics, leakage controls, and
    unsupported interpretations.
-5. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
    reviewer artifacts, indexed proof artifacts,
    sizes, and stable-file hashes.
-6. Read `docs/assets/task_suite_infographic.png` and
    `docs/data/modality_atlas.json` for the high-level map and modality atlas.
-7. Read `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json` before
    rerunning the public pipeline.
-8. Inspect `results/episode_task_suite/summary_report.json` for the task and
    metric source of truth.
-9. Inspect `results/episode_task_suite/feature_manifest.json` to see which
    modalities enter the current feature vector.
-10. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
    neural heads under the same splits.
-11. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
    `32ep` strings in Qwen3-Omni smoke artifacts.
-12. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
    Hugging Face mirrors contain the same critical data, visual, HTML, and
    validator files.
-13. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
    any Qwen3-Omni artifact.
-14. Inspect `QUALITY_GATES.md`, `docs/data/quality_gates.json`,
    `docs/data/publication_audit.json`, and `docs/data/website_integrity.json`
    before publishing or sharing the project externally.
-15. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
    citing the project.

 | --- | --- | --- | --- |
 | A first-pass reviewer has a compact current-state scorecard. | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | Verified guide | Summarizes existing evidence and boundaries; it does not add new experimental claims |
 | 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 boundary markers are validated across repo, website, and HF cards. | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Verified source audit | Offline committed-fact audit; does not fetch private gated data |
 | 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 |
 | The current feature contract is explicit and reviewable. | `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` | Verified for an 8,378-d feature vector | Audio is present in MP4 streams but not yet a feature block |
 | The task evaluation protocol is explicit and generated from committed metrics. | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Verified protocol | Defines windows, split, per-task metrics, leakage controls, and unsupported interpretations; does not prove cross-episode quality |
 3. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
    `docs/data/xperience10m_dataset_card_alignment.json` to check the official
    dataset-card wording and how the current repo is scoped against it.
+4. Read `SOURCE_ALIGNMENT_AUDIT.md` and
+   `docs/data/source_alignment_audit.json` to verify the same source facts are
+   present across repo, website, and HF cards.
+5. Read `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` to
    check windowing, split policy, per-task metrics, leakage controls, and
    unsupported interpretations.
+6. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
    reviewer artifacts, indexed proof artifacts,
    sizes, and stable-file hashes.
+7. Read `docs/assets/task_suite_infographic.png` and
    `docs/data/modality_atlas.json` for the high-level map and modality atlas.
+8. Read `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json` before
    rerunning the public pipeline.
+9. Inspect `results/episode_task_suite/summary_report.json` for the task and
    metric source of truth.
+10. Inspect `results/episode_task_suite/feature_manifest.json` to see which
    modalities enter the current feature vector.
+11. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
    neural heads under the same splits.
+12. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
    `32ep` strings in Qwen3-Omni smoke artifacts.
+13. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
    Hugging Face mirrors contain the same critical data, visual, HTML, and
    validator files.
+14. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
    any Qwen3-Omni artifact.
+15. Inspect `QUALITY_GATES.md`, `docs/data/quality_gates.json`,
    `docs/data/publication_audit.json`, and `docs/data/website_integrity.json`
    before publishing or sharing the project externally.
+16. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
    citing the project.

PROJECT_README.md CHANGED Viewed

@@ -37,6 +37,7 @@ This repo is organized around an explicit proof boundary:
 | Claim layer | Evidence | Boundary |
 | --- | --- | --- |
 | 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 |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and unsupported interpretations |
@@ -84,6 +85,9 @@ The upstream dataset-card alignment note is
 [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md),
 with a machine-readable copy at
 [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json).
 ## Reviewer Scorecard
@@ -98,6 +102,7 @@ They give the current decision boundary 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 |
 | Evaluation protocol | Verified generated protocol for windowing, split policy, leakage controls, and per-task metrics |
 | Website and HF mirrors | Verified by local integrity, mirror parity, and live-publication checks |
 | Qwen3-Omni 32-episode pilot | Data-gated; prepared, but not a model-quality claim |
@@ -111,12 +116,13 @@ If you are reviewing the project cold, open these in order:
 | --- | --- | --- | --- |
 | 1 | What is actually claimed? | [`REVIEWER_SCORECARD.md`](REVIEWER_SCORECARD.md), [`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json), [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`QUALITY_GATES.md`](QUALITY_GATES.md), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json), [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json), [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Single-episode task engineering and hygiene are claimed; historical `32ep` identifiers are not treated as real 32-episode results, and quality gates plus prepared and live mirrors are checked. |
 | 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 | 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 unsupported interpretations are explicit. |
-| 4 | 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 exact-match audit evidence are explicit. |
-| 5 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,378-d window vector with explicit feature-block boundaries. |
-| 6 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
-| 7 | Is the website internally coherent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, JSON data, and referenced images are checked before publishing. |
-| 8 | What is still pending? | [`DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md), [`A100_HF_RELAY_STATUS.md`](results/omni_finetune/A100_HF_RELAY_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared but not yet a real model-quality claim. |
 The machine-readable reviewer packet is
 [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json).
@@ -211,6 +217,7 @@ Hugging Face Space app:
 | Reviewer scorecard | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | Gives a one-table current decision boundary before reading the full audit 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 |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and unsupported interpretations |
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
 | Neural heads | PyTorch MLP classifiers/regressors under `neural_mlp/` | Checks whether nonlinear heads improve each task without changing features |

 | Claim layer | Evidence | Boundary |
 | --- | --- | --- |
 | 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 audit | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates source facts and boundary wording across repo, website, and HF cards |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and unsupported interpretations |
 [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md),
 with a machine-readable copy at
 [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json).
+The generated source-alignment audit is at
+[`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) and
+[`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json).
 ## Reviewer Scorecard
 | 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 audit | Verified source facts and source-boundary markers 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 local integrity, mirror parity, and live-publication checks |
 | Qwen3-Omni 32-episode pilot | Data-gated; prepared, but not a model-quality claim |
 | --- | --- | --- | --- |
 | 1 | What is actually claimed? | [`REVIEWER_SCORECARD.md`](REVIEWER_SCORECARD.md), [`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json), [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`QUALITY_GATES.md`](QUALITY_GATES.md), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json), [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json), [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Single-episode task engineering and hygiene are claimed; historical `32ep` identifiers are not treated as real 32-episode results, and quality gates plus prepared and live mirrors are checked. |
 | 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 preserve full-dataset, sample-card, API-listing, and project-boundary markers. |
+| 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 unsupported interpretations are explicit. |
+| 5 | 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 exact-match audit evidence are explicit. |
+| 6 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,378-d window vector with explicit feature-block boundaries. |
+| 7 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
+| 8 | Is the website internally coherent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, JSON data, and referenced images are checked before publishing. |
+| 9 | What is still pending? | [`DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md), [`A100_HF_RELAY_STATUS.md`](results/omni_finetune/A100_HF_RELAY_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared but not yet a real model-quality claim. |
 The machine-readable reviewer packet is
 [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json).
 | Reviewer scorecard | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | Gives a one-table current decision boundary before reading the full audit 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 audit | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Verifies source facts and boundary markers across repo, website, and HF cards |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and unsupported interpretations |
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
 | Neural heads | PyTorch MLP classifiers/regressors under `neural_mlp/` | Checks whether nonlinear heads improve each task without changing features |

QUALITY_GATES.md CHANGED Viewed

@@ -13,6 +13,7 @@ These gates validate public packaging, claim boundaries, mirror parity, and webs
 | Gate | Command | Report | Current report status | Blocks publication if |
 | --- | --- | --- | --- | --- |
 | Scope claims guard | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Historical 32ep smoke/provenance strings are presented as real 32-episode metrics. |
 | 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. |
 | Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit. |
 | Quality-gate manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reviewer cannot see the current packaging gates in one place. |
@@ -32,6 +33,7 @@ These gates validate public packaging, claim boundaries, mirror parity, and webs
 ```bash
 python scripts/validate_scope_claims.py
 python scripts/build_evaluation_protocol.py
 python scripts/validate_website_integrity.py
 python scripts/build_quality_gates.py

 | Gate | Command | Report | Current report status | Blocks publication if |
 | --- | --- | --- | --- | --- |
 | Scope claims guard | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Historical 32ep smoke/provenance strings are presented as real 32-episode metrics. |
+| Source alignment audit | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing caveats, or public-card boundary 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. |
 | Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit. |
 | Quality-gate manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reviewer cannot see the current packaging gates in one place. |
 ```bash
 python scripts/validate_scope_claims.py
+python scripts/validate_source_alignment.py
 python scripts/build_evaluation_protocol.py
 python scripts/validate_website_integrity.py
 python scripts/build_quality_gates.py

README.md CHANGED Viewed

@@ -49,6 +49,10 @@ public sample card (`cc-by-nc-4.0`, HOMIE Toolkit, Rerun 0.29.0 `.rrd`
 visualization) and the observed HF API listing snapshot: 803 session folders
 and 12,103 episode folders with `annotation.hdf5`. Those counts are upstream
 metadata only, not files redistributed in this artifact dataset.
 For first-pass review, `REVIEWER_SCORECARD.md` and
 `docs/data/reviewer_scorecard.json` provide the compact current decision table:
@@ -76,14 +80,16 @@ This is the reviewable half of the project. You can inspect the task outputs, co
 | Step | Question | Primary artifacts |
 | --- | --- | --- |
 | 1 | What is actually claimed? | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/live_publication_status.json`, `docs/data/quality_gates.json`, `docs/data/mirror_parity.json`, `docs/data/scope_claims_audit.json`, `docs/data/publication_audit.json`, `docs/data/website_integrity.json` |
-| 2 | How do I reproduce it? | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` |
-| 3 | What is one model input? | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` |
-| 4 | Are the task results backed by files? | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/neural_mlp/`, `docs/data/summary_metrics.json` |
-| 5 | What is still pending? | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/A100_HF_RELAY_STATUS.md`, `scripts/omni/discover_xperience10m_sources.py` |
 Human-readable artifact guide: `ARTIFACT_GUIDE.md`.
 Reviewer scorecard: `REVIEWER_SCORECARD.md` and `docs/data/reviewer_scorecard.json`.
 Official dataset-card alignment: `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`.
 Publication quality gates: `QUALITY_GATES.md` and `docs/data/quality_gates.json`.
 Live publication status: `docs/data/live_publication_status.json`.
 Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
@@ -108,6 +114,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | automated release gates plus live post-publish checks |
 | 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 boundary |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-artifact catalog with stable hashes |
 | Citation metadata | `PROJECT_README.md`, `docs/data/project_manifest.json`, GitHub `CITATION.cff` | code/data license boundary remains explicit |
@@ -126,6 +133,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable proof boundary
 - `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
 - `docs/data/artifact_index.json`: source-of-truth proof-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 guard against overclaiming historical `32ep` smoke-run identifiers

 visualization) and the observed HF API listing snapshot: 803 session folders
 and 12,103 episode folders with `annotation.hdf5`. Those counts are upstream
 metadata only, not files redistributed in this artifact dataset.
+The generated source-alignment audit, `SOURCE_ALIGNMENT_AUDIT.md` plus
+`docs/data/source_alignment_audit.json`, checks those full-dataset facts,
+public sample-card facts, API-listing caveats, and current-project boundary
+markers across the repo, website, and Hugging Face cards.
 For first-pass review, `REVIEWER_SCORECARD.md` and
 `docs/data/reviewer_scorecard.json` provide the compact current decision table:
 | Step | Question | Primary artifacts |
 | --- | --- | --- |
 | 1 | What is actually claimed? | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/live_publication_status.json`, `docs/data/quality_gates.json`, `docs/data/mirror_parity.json`, `docs/data/scope_claims_audit.json`, `docs/data/publication_audit.json`, `docs/data/website_integrity.json` |
+| 2 | Are source facts consistently presented? | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` |
+| 3 | How do I reproduce it? | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` |
+| 4 | What is one model input? | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` |
+| 5 | Are the task results backed by files? | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/neural_mlp/`, `docs/data/summary_metrics.json` |
+| 6 | What is still pending? | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/A100_HF_RELAY_STATUS.md`, `scripts/omni/discover_xperience10m_sources.py` |
 Human-readable artifact guide: `ARTIFACT_GUIDE.md`.
 Reviewer scorecard: `REVIEWER_SCORECARD.md` and `docs/data/reviewer_scorecard.json`.
 Official dataset-card alignment: `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`.
+Source-alignment audit: `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`.
 Publication quality gates: `QUALITY_GATES.md` and `docs/data/quality_gates.json`.
 Live publication status: `docs/data/live_publication_status.json`.
 Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | automated release gates plus live post-publish checks |
 | 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 boundary |
+| Source alignment audit | `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 public-card boundary markers |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-artifact catalog with stable hashes |
 | Citation metadata | `PROJECT_README.md`, `docs/data/project_manifest.json`, GitHub `CITATION.cff` | code/data license boundary remains explicit |
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable proof boundary
 - `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 audit that source facts and project-boundary markers are preserved across public surfaces
 - `docs/data/artifact_index.json`: source-of-truth proof-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 guard against overclaiming historical `32ep` smoke-run identifiers

REPRODUCIBILITY.md CHANGED Viewed

@@ -74,6 +74,7 @@ python scripts/episode_task_suite.py \
 python scripts/research_direction_taxonomy.py
 python scripts/research_direction_extension_tasks.py
 python scripts/task_walkthroughs.py
 python scripts/build_evaluation_protocol.py
 python scripts/generate_visualizations.py
 python scripts/render_overview_figures.py
@@ -96,6 +97,7 @@ python scripts/validate_publication_package.py
 | Research directions | `results/episode_task_suite/research_directions/`, `docs/data/research_directions.json` |
 | Direction probes | `results/episode_task_suite/research_direction_extensions/`, `docs/data/research_direction_extensions.json` |
 | Walkthroughs | `results/episode_task_suite/task_walkthroughs/`, `docs/data/task_walkthroughs.json` |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` |
 | Figures | `docs/assets/*.png`, `docs/assets/charts/*.svg` |
 | Modality atlas | `docs/data/modality_atlas.json`, `docs/assets/modalities/*` |

 python scripts/research_direction_taxonomy.py
 python scripts/research_direction_extension_tasks.py
 python scripts/task_walkthroughs.py
+python scripts/validate_source_alignment.py
 python scripts/build_evaluation_protocol.py
 python scripts/generate_visualizations.py
 python scripts/render_overview_figures.py
 | Research directions | `results/episode_task_suite/research_directions/`, `docs/data/research_directions.json` |
 | Direction probes | `results/episode_task_suite/research_direction_extensions/`, `docs/data/research_direction_extensions.json` |
 | Walkthroughs | `results/episode_task_suite/task_walkthroughs/`, `docs/data/task_walkthroughs.json` |
+| Source alignment audit | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` |
 | Figures | `docs/assets/*.png`, `docs/assets/charts/*.svg` |
 | Modality atlas | `docs/data/modality_atlas.json`, `docs/assets/modalities/*` |

REVIEWER_SCORECARD.md CHANGED Viewed

@@ -11,6 +11,7 @@ verified only when committed artifacts and validation reports support it.
 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | 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 unsupported interpretations 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 boundary, sample license/tooling, and unsupported claims. |
 | 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 checked after upload. |
 | Publication hygiene | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and stale presentation 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 audit evidence. |
@@ -26,7 +27,8 @@ verified only when committed artifacts and validation reports support it.
    `results/episode_task_suite/neural_mlp/` to check the 12-task outputs.
 4. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage
    controls.
-5. Inspect `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` before judging dataset
    wording.
 6. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before judging
    Qwen3-Omni scale-up status.

 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | 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 unsupported interpretations 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 boundary, sample license/tooling, and unsupported claims. |
+| Source alignment audit | Verified | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source facts and boundary 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 checked after upload. |
 | Publication hygiene | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and stale presentation 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 audit evidence. |
    `results/episode_task_suite/neural_mlp/` to check the 12-task outputs.
 4. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage
    controls.
+5. Inspect `SOURCE_ALIGNMENT_AUDIT.md` and
+   `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` before judging dataset
    wording.
 6. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before judging
    Qwen3-Omni scale-up status.

SOURCE_ALIGNMENT_AUDIT.md ADDED Viewed

	@@ -0,0 +1,37 @@

+# Source Alignment Audit
+This file is generated by `scripts/validate_source_alignment.py`. It checks
+that public repo, website, and HF cards preserve the same Xperience-10M
+source facts and boundary language.
+Current status: **pass**
+## Source Facts
+| Layer | Current value |
+| --- | --- |
+| Full dataset repo | `ropedia-ai/xperience-10m` |
+| Full dataset access | manual |
+| API episode listing | 12,103 episode folders with `annotation.hdf5` as upstream metadata only |
+| Public sample repo | `ropedia-ai/xperience-10m-sample` |
+| Public sample license | `cc-by-nc-4.0` |
+| Current verified project data | 1 public sample episode, 5,821 frames, 1,161 windows, 8,378 current features |
+## Checks
+| Check | Status | Evidence |
+| --- | --- | --- |
+| full_dataset_metadata_matches_observed_snapshot | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| api_listing_snapshot_is_consistent | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| sample_card_metadata_is_preserved | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| official_modality_description_is_complete | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| current_project_boundary_is_explicit | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| repo_public_surfaces_preserve_source_markers | pass | `README.md`, `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `DATA_NOTICE.md`, `docs/index.html` |
+| hf_public_cards_preserve_source_markers | pass | `space/README.md`, `artifacts/README.md`, `artifacts/PROJECT_README.md`, `model/README.md` |
+## Boundary
+- HF API file counts are source-listing metadata, not local data possession.
+- The public sample license is preserved separately from the gated full dataset license field.
+- Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.
+- Current model evidence remains one public sample episode, not cross-episode generalization.

docs/data/artifact_index.json CHANGED Viewed

@@ -1,13 +1,13 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-01T09:48:51+00:00",
   "status": "pass",
-  "artifact_count": 40,
   "missing": [],
   "by_kind": {
     "review_path": 5,
     "claim_boundary": 1,
-    "source_alignment": 2,
     "evaluation_protocol": 3,
     "quality_gate": 4,
     "reproducibility": 2,
@@ -38,8 +38,8 @@
       "surface": "repo_hf",
       "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass reviewers.",
       "exists": true,
-      "bytes": 4087,
-      "sha256": "d615951c3b24dc949450be405dd79d446556b683d42c55de13fde26dcb70080f"
     },
     {
       "id": "reviewer_scorecard_json",
@@ -49,8 +49,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable copy of the current reviewer scorecard for website and HF mirrors.",
       "exists": true,
-      "bytes": 5568,
-      "sha256": "e882fee1eb1e40b6a6af0e85ac263db0b7674828d16ca999de961ef63492ba52"
     },
     {
       "id": "evidence_contract",
@@ -60,8 +60,8 @@
       "surface": "repo",
       "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.",
       "exists": true,
-      "bytes": 8517,
-      "sha256": "0807329cdac8c0447ea7c62bb1d6987226b2f7196da06e3a0882805a8ecb86d6"
     },
     {
       "id": "reviewer_packet",
@@ -71,8 +71,8 @@
       "surface": "website_hf",
       "proves": "Gives a short audit path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 6375,
-      "sha256": "016e68c1285fda5d64ed41992fb570bcf1766139b165b8a6679014ba7cd3c932"
     },
     {
       "id": "artifact_guide",
@@ -82,8 +82,8 @@
       "surface": "repo_hf",
       "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 9498,
-      "sha256": "e6fa0e559f969ad6b6a9f617149c213e0be512d6b74a746214e5fd6e155f51e1"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -107,6 +107,39 @@
       "bytes": 6985,
       "sha256": "feff5d60c5a5a385612adf40a59956809b3e69eaee3918dbd262e8f8d8186729"
     },
     {
       "id": "evaluation_protocol",
       "title": "Evaluation protocol",
@@ -127,7 +160,7 @@
       "proves": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
       "bytes": 13575,
-      "sha256": "b24f8d4a03e363c016c62bab66a9ccc8958c69570180c7011fcbed98ab932429"
     },
     {
       "id": "evaluation_protocol_builder",
@@ -160,7 +193,7 @@
       "proves": "Machine-readable release-gate summary for validators, mirrors, and reviewer surfaces.",
       "exists": true,
       "bytes": 4737,
-      "sha256": "cb00153523e21f8d64eaeb807639490e12872ac981c4a41ca44e22132dbaf8ea"
     },
     {
       "id": "live_publication_status",
@@ -182,8 +215,8 @@
       "surface": "repo",
       "proves": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
       "exists": true,
-      "bytes": 15467,
-      "sha256": "84911a3a36db0471862add4eb834f54e2105d517887395c774af703a9c346291"
     },
     {
       "id": "reproducibility_contract",
@@ -193,8 +226,8 @@
       "surface": "repo_hf",
       "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
-      "bytes": 5742,
-      "sha256": "53ebb107906807b2338ad9357dac6f814f20685335735a836cb2cbc2a355d35e"
     },
     {
       "id": "reproducibility_matrix",
@@ -204,8 +237,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
       "exists": true,
-      "bytes": 4582,
-      "sha256": "0f13b45977ece1c79f5ae5a73cd76efc0061bd8c5daa0b4416730c5739a71242"
     },
     {
       "id": "artifact_index_builder",
@@ -215,8 +248,8 @@
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 15314,
-      "sha256": "a1822ef1f58823ae5f5aa90fd8f568685ec306c0ec6adb4ead918ef6834474cb"
     },
     {
       "id": "publication_audit",
@@ -263,7 +296,7 @@
       "volatile": true,
       "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 7900,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -274,8 +307,8 @@
       "surface": "website_hf",
       "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
       "exists": true,
-      "bytes": 3917,
-      "sha256": "8f1fc5cf8bb1776c613b93a96c5edfa9f05584ad69c38049f0b6aba4beef2374"
     },
     {
       "id": "task_summary",

 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+  "generated_at_utc": "2026-06-01T10:08:33+00:00",
   "status": "pass",
+  "artifact_count": 43,
   "missing": [],
   "by_kind": {
     "review_path": 5,
     "claim_boundary": 1,
+    "source_alignment": 5,
     "evaluation_protocol": 3,
     "quality_gate": 4,
     "reproducibility": 2,
       "surface": "repo_hf",
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/REVIEWER_SCORECARD.md",
           "exists": true,
+          "bytes": 4360,
+          "sha256": "2fe1a0c808eb5906e0942cf1bb573c086ba82523cbda8f778cfa8ac0e582fea4"
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         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/REVIEWER_SCORECARD.md",
           "exists": true,
+          "bytes": 4360,
+          "sha256": "2fe1a0c808eb5906e0942cf1bb573c086ba82523cbda8f778cfa8ac0e582fea4"
+        }
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+      "failures": []
+    },
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+      "name": "docs/SOURCE_ALIGNMENT_AUDIT.md",
+      "status": "pass",
+      "local": {
+        "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/SOURCE_ALIGNMENT_AUDIT.md",
+        "exists": true,
+        "bytes": 1939,
+        "sha256": "7ce88b1e020a46ba2e21812db3c68ddbad381268a2a1acb02bdd6da9dfab5ed2"
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+        "hf_space": {
+          "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space/SOURCE_ALIGNMENT_AUDIT.md",
+          "exists": true,
+          "bytes": 1939,
+          "sha256": "7ce88b1e020a46ba2e21812db3c68ddbad381268a2a1acb02bdd6da9dfab5ed2"
+        },
+        "hf_artifacts": {
+          "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/SOURCE_ALIGNMENT_AUDIT.md",
+          "exists": true,
+          "bytes": 1939,
+          "sha256": "7ce88b1e020a46ba2e21812db3c68ddbad381268a2a1acb02bdd6da9dfab5ed2"
+        },
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+          "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/SOURCE_ALIGNMENT_AUDIT.md",
+          "exists": true,
+          "bytes": 1939,
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       "failures": []

docs/data/project_manifest.json CHANGED Viewed

@@ -48,6 +48,8 @@
     "artifact_guide": "ARTIFACT_GUIDE.md",
         "official_dataset_card_alignment": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "official_dataset_card_alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
         "evaluation_protocol": "EVALUATION_PROTOCOL.md",
         "evaluation_protocol_json": "docs/data/evaluation_protocol.json",
         "reproducibility_contract": "REPRODUCIBILITY.md",

     "artifact_guide": "ARTIFACT_GUIDE.md",
         "official_dataset_card_alignment": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "official_dataset_card_alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
+        "source_alignment_audit": "SOURCE_ALIGNMENT_AUDIT.md",
+        "source_alignment_audit_json": "docs/data/source_alignment_audit.json",
         "evaluation_protocol": "EVALUATION_PROTOCOL.md",
         "evaluation_protocol_json": "docs/data/evaluation_protocol.json",
         "reproducibility_contract": "REPRODUCIBILITY.md",

docs/data/publication_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T09:43:01+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -47,6 +47,7 @@
     "REVIEWER_SCORECARD.md": true,
     "QUALITY_GATES.md": true,
     "EVALUATION_PROTOCOL.md": true,
     "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md": true,
     "REPRODUCIBILITY.md": true,
     "EVIDENCE_CONTRACT.md": true,
@@ -58,6 +59,7 @@
     "docs/sitemap.xml": true,
     "docs/data/evidence_contract.json": true,
     "docs/data/evaluation_protocol.json": true,
     "docs/data/artifact_index.json": true,
     "docs/data/live_publication_status.json": true,
     "docs/data/quality_gates.json": true,
@@ -94,6 +96,7 @@
     "scripts/verify_live_publication.py": true,
     "scripts/validate_mirror_parity.py": true,
     "scripts/validate_scope_claims.py": true,
     "scripts/validate_website_integrity.py": true,
     "scripts/omni/train_qwen3_omni_lora.py": true
   },
@@ -102,7 +105,7 @@
       "surface": "github_repo",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 8,
       "missing_markers": [],
       "status": "pass"
     },
@@ -110,7 +113,7 @@
       "surface": "hf_space_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 9,
       "missing_markers": [],
       "status": "pass"
     },
@@ -118,7 +121,7 @@
       "surface": "hf_artifact_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 8,
       "missing_markers": [],
       "status": "pass"
     },
@@ -126,7 +129,7 @@
       "surface": "hf_artifact_bundle",
       "path": "PROJECT_README.md",
       "exists": true,
-      "required_marker_count": 8,
       "missing_markers": [],
       "status": "pass"
     },
@@ -134,7 +137,7 @@
       "surface": "hf_model_bundle",
       "path": "README.md",
       "exists": true,
-      "required_marker_count": 9,
       "missing_markers": [],
       "status": "pass"
     }
@@ -143,8 +146,8 @@
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
       "exists": true,
-      "file_count": 298,
-      "text_file_count": 243,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -154,8 +157,8 @@
     "hf_space_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space",
       "exists": true,
-      "file_count": 60,
-      "text_file_count": 47,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2600527
@@ -165,8 +168,8 @@
     "hf_artifact_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts",
       "exists": true,
-      "file_count": 278,
-      "text_file_count": 236,
       "largest_file": {
         "path": "results/episode_task_suite/neural_mlp/temporal_order/model.pt",
         "bytes": 13406129
@@ -176,8 +179,8 @@
     "hf_model_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model",
       "exists": true,
-      "file_count": 210,
-      "text_file_count": 167,
       "largest_file": {
         "path": "artifacts/episode_task_suite/cross_modal_retrieval/model.npz",
         "bytes": 41310574

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-01T10:12:33+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
     "REVIEWER_SCORECARD.md": true,
     "QUALITY_GATES.md": true,
     "EVALUATION_PROTOCOL.md": true,
+    "SOURCE_ALIGNMENT_AUDIT.md": true,
     "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md": true,
     "REPRODUCIBILITY.md": true,
     "EVIDENCE_CONTRACT.md": true,
     "docs/sitemap.xml": true,
     "docs/data/evidence_contract.json": true,
     "docs/data/evaluation_protocol.json": true,
+    "docs/data/source_alignment_audit.json": true,
     "docs/data/artifact_index.json": true,
     "docs/data/live_publication_status.json": true,
     "docs/data/quality_gates.json": true,
     "scripts/verify_live_publication.py": true,
     "scripts/validate_mirror_parity.py": true,
     "scripts/validate_scope_claims.py": true,
+    "scripts/validate_source_alignment.py": true,
     "scripts/validate_website_integrity.py": true,
     "scripts/omni/train_qwen3_omni_lora.py": true
   },
       "surface": "github_repo",
       "path": "README.md",
       "exists": true,
+      "required_marker_count": 9,
       "missing_markers": [],
       "status": "pass"
     },
       "surface": "hf_space_bundle",
       "path": "README.md",
       "exists": true,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     },
       "surface": "hf_artifact_bundle",
       "path": "README.md",
       "exists": true,
+      "required_marker_count": 9,
       "missing_markers": [],
       "status": "pass"
     },
       "surface": "hf_artifact_bundle",
       "path": "PROJECT_README.md",
       "exists": true,
+      "required_marker_count": 9,
       "missing_markers": [],
       "status": "pass"
     },
       "surface": "hf_model_bundle",
       "path": "README.md",
       "exists": true,
+      "required_marker_count": 10,
       "missing_markers": [],
       "status": "pass"
     }
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
       "exists": true,
+      "file_count": 301,
+      "text_file_count": 246,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
     "hf_space_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space",
       "exists": true,
+      "file_count": 62,
+      "text_file_count": 49,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2600527
     "hf_artifact_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts",
       "exists": true,
+      "file_count": 281,
+      "text_file_count": 239,
       "largest_file": {
         "path": "results/episode_task_suite/neural_mlp/temporal_order/model.pt",
         "bytes": 13406129
     "hf_model_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model",
       "exists": true,
+      "file_count": 213,
+      "text_file_count": 170,
       "largest_file": {
         "path": "artifacts/episode_task_suite/cross_modal_retrieval/model.npz",
         "bytes": 41310574

docs/data/quality_gates.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Publication Quality Gates",
   "status": "pass",
-  "generated_at_utc": "2026-06-01T09:49:01+00:00",
   "rule": "Do not present a release as current unless every automated gate passes, then verify live GitHub/HF mirrors after publishing.",
   "automated_gates": [
     {
@@ -16,6 +16,18 @@
         "status": "pass"
       }
     },
     {
       "id": "website_integrity",
       "title": "Website integrity",

 {
   "title": "Ropedia Xperience-10M Publication Quality Gates",
   "status": "pass",
+  "generated_at_utc": "2026-06-01T10:09:22+00:00",
   "rule": "Do not present a release as current unless every automated gate passes, then verify live GitHub/HF mirrors after publishing.",
   "automated_gates": [
     {
         "status": "pass"
       }
     },
+    {
+      "id": "source_alignment",
+      "title": "Source alignment audit",
+      "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 public-card boundary markers are missing or inconsistent.",
+      "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project boundary.",
+      "current_report": {
+        "exists": true,
+        "status": "pass"
+      }
+    },
     {
       "id": "website_integrity",
       "title": "Website integrity",

docs/data/reproducibility_matrix.json CHANGED Viewed

@@ -49,6 +49,13 @@
             "expected": "research-direction taxonomy, extension probes, and task walkthrough artifacts",
             "boundary": "single-episode probes, not full research-direction solutions"
         },
         {
             "id": "evaluation_protocol",
             "status": "reproducible",

             "expected": "research-direction taxonomy, extension probes, and task walkthrough artifacts",
             "boundary": "single-episode probes, not full research-direction solutions"
         },
+        {
+            "id": "source_alignment_audit",
+            "status": "reproducible",
+            "command": "python scripts/validate_source_alignment.py",
+            "expected": "SOURCE_ALIGNMENT_AUDIT.md and docs/data/source_alignment_audit.json",
+            "boundary": "offline committed-fact audit; does not fetch private gated data"
+        },
         {
             "id": "evaluation_protocol",
             "status": "reproducible",

docs/data/reviewer_packet.json CHANGED Viewed

@@ -24,10 +24,12 @@
                 "EVIDENCE_CONTRACT.md",
                 "ARTIFACT_GUIDE.md",
                 "EVALUATION_PROTOCOL.md",
                 "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
                 "docs/data/evidence_contract.json",
                 "docs/data/artifact_index.json",
                 "docs/data/evaluation_protocol.json",
                 "docs/data/xperience10m_dataset_card_alignment.json",
         "docs/data/mirror_parity.json",
         "docs/data/publication_audit.json",
@@ -49,6 +51,16 @@
     },
         {
             "step": 3,
             "question": "How exactly are the tasks evaluated?",
             "primary_artifacts": [
                 "EVALUATION_PROTOCOL.md",
@@ -58,7 +70,7 @@
             "readout": "The protocol fixes the 20-frame window unit, chronological split, train-only normalization, leakage controls, per-task input/target/metric contracts, and unsupported interpretations."
         },
         {
-            "step": 4,
             "question": "How can the public pipeline be reproduced?",
       "primary_artifacts": [
         "REPRODUCIBILITY.md",
@@ -68,7 +80,7 @@
       "readout": "The public sample pipeline has explicit commands, expected outputs, and a prior exact-match audit over the committed metrics."
     },
         {
-            "step": 5,
             "question": "What is inside one model input?",
       "primary_artifacts": [
         "results/episode_task_suite/windows.csv",
@@ -79,7 +91,7 @@
       "readout": "The current model input is an 8,378-dimensional aligned window vector with explicit feature-block boundaries, and the readable atlas shows each public-sample modality without raw data redistribution."
     },
         {
-            "step": 6,
             "question": "Do the task metrics have committed evidence?",
       "primary_artifacts": [
         "results/episode_task_suite/summary_report.json",
@@ -89,7 +101,7 @@
       "readout": "Each of the 12 tasks has minimal-head metrics and a matching neural MLP result over the same window contracts."
     },
         {
-            "step": 7,
             "question": "How should this scale beyond one episode?",
       "primary_artifacts": [
         "results/omni_finetune/DATA_BLOCKER_REPORT.md",
@@ -103,6 +115,8 @@
     "reviewer_scorecard_json": "docs/data/reviewer_scorecard.json",
     "evaluation_protocol": "EVALUATION_PROTOCOL.md",
     "evaluation_protocol_json": "docs/data/evaluation_protocol.json",
     "artifact_guide": "ARTIFACT_GUIDE.md",
   "artifact_index": "docs/data/artifact_index.json",
   "reproducibility_matrix": "docs/data/reproducibility_matrix.json",

                 "EVIDENCE_CONTRACT.md",
                 "ARTIFACT_GUIDE.md",
                 "EVALUATION_PROTOCOL.md",
+                "SOURCE_ALIGNMENT_AUDIT.md",
                 "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
                 "docs/data/evidence_contract.json",
                 "docs/data/artifact_index.json",
                 "docs/data/evaluation_protocol.json",
+                "docs/data/source_alignment_audit.json",
                 "docs/data/xperience10m_dataset_card_alignment.json",
         "docs/data/mirror_parity.json",
         "docs/data/publication_audit.json",
     },
         {
             "step": 3,
+            "question": "Are source facts consistently presented?",
+            "primary_artifacts": [
+                "SOURCE_ALIGNMENT_AUDIT.md",
+                "docs/data/source_alignment_audit.json",
+                "scripts/validate_source_alignment.py"
+            ],
+            "readout": "The source audit checks full-dataset metadata, API-listing caveats, public sample license/tooling, and boundary markers across repo docs, website, and HF cards."
+        },
+        {
+            "step": 4,
             "question": "How exactly are the tasks evaluated?",
             "primary_artifacts": [
                 "EVALUATION_PROTOCOL.md",
             "readout": "The protocol fixes the 20-frame window unit, chronological split, train-only normalization, leakage controls, per-task input/target/metric contracts, and unsupported interpretations."
         },
         {
+            "step": 5,
             "question": "How can the public pipeline be reproduced?",
       "primary_artifacts": [
         "REPRODUCIBILITY.md",
       "readout": "The public sample pipeline has explicit commands, expected outputs, and a prior exact-match audit over the committed metrics."
     },
         {
+            "step": 6,
             "question": "What is inside one model input?",
       "primary_artifacts": [
         "results/episode_task_suite/windows.csv",
       "readout": "The current model input is an 8,378-dimensional aligned window vector with explicit feature-block boundaries, and the readable atlas shows each public-sample modality without raw data redistribution."
     },
         {
+            "step": 7,
             "question": "Do the task metrics have committed evidence?",
       "primary_artifacts": [
         "results/episode_task_suite/summary_report.json",
       "readout": "Each of the 12 tasks has minimal-head metrics and a matching neural MLP result over the same window contracts."
     },
         {
+            "step": 8,
             "question": "How should this scale beyond one episode?",
       "primary_artifacts": [
         "results/omni_finetune/DATA_BLOCKER_REPORT.md",
     "reviewer_scorecard_json": "docs/data/reviewer_scorecard.json",
     "evaluation_protocol": "EVALUATION_PROTOCOL.md",
     "evaluation_protocol_json": "docs/data/evaluation_protocol.json",
+    "source_alignment_audit": "SOURCE_ALIGNMENT_AUDIT.md",
+    "source_alignment_audit_json": "docs/data/source_alignment_audit.json",
     "artifact_guide": "ARTIFACT_GUIDE.md",
   "artifact_index": "docs/data/artifact_index.json",
   "reproducibility_matrix": "docs/data/reproducibility_matrix.json",

docs/data/reviewer_scorecard.json CHANGED Viewed

@@ -56,15 +56,25 @@
         },
         {
             "area": "Official dataset wording",
-      "status": "verified",
       "evidence": [
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "docs/data/xperience10m_dataset_card_alignment.json"
       ],
             "readout": "Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access boundary, sample license/tooling, and unsupported claims."
-    },
-    {
-      "area": "Website and HF mirrors",
       "status": "verified",
       "evidence": [
         "docs/data/website_integrity.json",
@@ -117,6 +127,7 @@
         "Open docs/data/reviewer_packet.json for the machine-readable review path.",
         "Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
         "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
         "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
     "Inspect results/omni_finetune/DATA_BLOCKER_REPORT.md before judging Qwen3-Omni scale-up status."
   ],

         },
         {
             "area": "Official dataset wording",
+            "status": "verified",
       "evidence": [
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "docs/data/xperience10m_dataset_card_alignment.json"
       ],
             "readout": "Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access boundary, sample license/tooling, and unsupported claims."
+        },
+        {
+            "area": "Source alignment audit",
+            "status": "verified",
+            "evidence": [
+                "SOURCE_ALIGNMENT_AUDIT.md",
+                "docs/data/source_alignment_audit.json",
+                "scripts/validate_source_alignment.py"
+            ],
+            "readout": "Source facts and boundary markers are checked across repo docs, website, and HF cards."
+        },
+        {
+            "area": "Website and HF mirrors",
       "status": "verified",
       "evidence": [
         "docs/data/website_integrity.json",
         "Open docs/data/reviewer_packet.json for the machine-readable review path.",
         "Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
         "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
+        "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
         "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
     "Inspect results/omni_finetune/DATA_BLOCKER_REPORT.md before judging Qwen3-Omni scale-up status."
   ],

docs/data/scope_claims_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T09:40:02+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-01T10:06:37+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

docs/data/source_alignment_audit.json ADDED Viewed

	@@ -0,0 +1,139 @@

+{
+  "title": "Ropedia Xperience-10M Source Alignment Audit",
+  "status": "pass",
+  "generated_at_utc": "2026-06-01T10:06:08+00:00",
+  "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
+  "alignment_summary": {
+    "full_dataset_repo": "ropedia-ai/xperience-10m",
+    "full_dataset_access": "manual",
+    "api_episode_folders": 12103,
+    "sample_repo": "ropedia-ai/xperience-10m-sample",
+    "sample_license": "cc-by-nc-4.0",
+    "current_project_scope": "1 public sample episode, 5,821 frames, 1,161 windows, 8,378 current features"
+  },
+  "checks": [
+    {
+      "name": "full_dataset_metadata_matches_observed_snapshot",
+      "status": "pass",
+      "detail": "gated full-dataset metadata matches the recorded HF API snapshot",
+      "evidence": [
+        "docs/data/xperience10m_dataset_card_alignment.json"
+      ]
+    },
+    {
+      "name": "api_listing_snapshot_is_consistent",
+      "status": "pass",
+      "detail": "HF API file-listing counts remain internally consistent in the committed alignment JSON",
+      "evidence": [
+        "docs/data/xperience10m_dataset_card_alignment.json"
+      ]
+    },
+    {
+      "name": "sample_card_metadata_is_preserved",
+      "status": "pass",
+      "detail": "public sample card license and tooling are recorded separately from the gated full dataset",
+      "evidence": [
+        "docs/data/xperience10m_dataset_card_alignment.json"
+      ]
+    },
+    {
+      "name": "official_modality_description_is_complete",
+      "status": "pass",
+      "detail": "missing modality markers=[]",
+      "evidence": [
+        "docs/data/xperience10m_dataset_card_alignment.json"
+      ]
+    },
+    {
+      "name": "current_project_boundary_is_explicit",
+      "status": "pass",
+      "detail": "one-episode scope, audio boundary, raw-data exclusion, and unsupported claims are present",
+      "evidence": [
+        "docs/data/xperience10m_dataset_card_alignment.json"
+      ]
+    },
+    {
+      "name": "repo_public_surfaces_preserve_source_markers",
+      "status": "pass",
+      "detail": "README, data notice, alignment doc, and website expose official/full/sample/source-boundary markers",
+      "evidence": [
+        "README.md",
+        "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+        "DATA_NOTICE.md",
+        "docs/index.html"
+      ]
+    },
+    {
+      "name": "hf_public_cards_preserve_source_markers",
+      "status": "pass",
+      "detail": "HF Space, artifact dataset, model card, and mirrored project README expose source-boundary markers",
+      "evidence": [
+        "space/README.md",
+        "artifacts/README.md",
+        "artifacts/PROJECT_README.md",
+        "model/README.md"
+      ]
+    }
+  ],
+  "repo_marker_records": [
+    {
+      "path": "README.md",
+      "exists": true,
+      "required_marker_count": 9,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+      "exists": true,
+      "required_marker_count": 7,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "DATA_NOTICE.md",
+      "exists": true,
+      "required_marker_count": 6,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "docs/index.html",
+      "exists": true,
+      "required_marker_count": 8,
+      "missing_markers": [],
+      "status": "pass"
+    }
+  ],
+  "hf_marker_records": [
+    {
+      "path": "space/README.md",
+      "exists": true,
+      "required_marker_count": 7,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "artifacts/README.md",
+      "exists": true,
+      "required_marker_count": 7,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "artifacts/PROJECT_README.md",
+      "exists": true,
+      "required_marker_count": 7,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "path": "model/README.md",
+      "exists": true,
+      "required_marker_count": 8,
+      "missing_markers": [],
+      "status": "pass"
+    }
+  ],
+  "failures": []
+}

docs/data/website_integrity.json CHANGED Viewed

@@ -1,13 +1,13 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T09:39:50+00:00",
   "docs_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 2,
-    "local_references": 76,
     "external_reference_count": 68,
-    "json_files": 19,
     "image_assets_referenced": 18,
     "failure_count": 0
   },
@@ -71,6 +71,12 @@
       "status": "pass",
       "reason": "The dataset-card section should distinguish HF API listing metadata from local data possession.",
       "marker_count": 1
     }
   ],
   "html_pages": [
@@ -83,14 +89,14 @@
     {
       "path": "index.html",
       "id_count": 34,
-      "reference_count": 75,
       "image_count": 20
     }
   ],
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 16530,
       "top_level_type": "dict"
     },
     {
@@ -100,17 +106,17 @@
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 9544,
       "top_level_type": "dict"
     },
     {
       "path": "data/live_publication_status.json",
-      "bytes": 14598,
       "top_level_type": "dict"
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 54563,
       "top_level_type": "dict"
     },
     {
@@ -120,22 +126,22 @@
     },
     {
       "path": "data/project_manifest.json",
-      "bytes": 3917,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 5706,
       "top_level_type": "dict"
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 4228,
       "top_level_type": "dict"
     },
     {
       "path": "data/reproducibility_matrix.json",
-      "bytes": 4582,
       "top_level_type": "dict"
     },
     {
@@ -150,12 +156,12 @@
     },
     {
       "path": "data/reviewer_packet.json",
-      "bytes": 6375,
       "top_level_type": "dict"
     },
     {
       "path": "data/reviewer_scorecard.json",
-      "bytes": 5568,
       "top_level_type": "dict"
     },
     {
@@ -163,6 +169,11 @@
       "bytes": 19964,
       "top_level_type": "dict"
     },
     {
       "path": "data/summary_metrics.json",
       "bytes": 25075,
@@ -175,7 +186,7 @@
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 6843,
       "top_level_type": "dict"
     },
     {

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-01T10:06:30+00:00",
   "docs_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 2,
+    "local_references": 77,
     "external_reference_count": 68,
+    "json_files": 20,
     "image_assets_referenced": 18,
     "failure_count": 0
   },
       "status": "pass",
       "reason": "The dataset-card section should distinguish HF API listing metadata from local data possession.",
       "marker_count": 1
+    },
+    {
+      "name": "dataset_card_section_links_source_alignment_audit",
+      "status": "pass",
+      "reason": "The dataset-card section should expose the generated source-alignment audit.",
+      "marker_count": 1
     }
   ],
   "html_pages": [
     {
       "path": "index.html",
       "id_count": 34,
+      "reference_count": 76,
       "image_count": 20
     }
   ],
   "json_files": [
     {
       "path": "data/artifact_index.json",
+      "bytes": 17952,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/evidence_contract.json",
+      "bytes": 10063,
       "top_level_type": "dict"
     },
     {
       "path": "data/live_publication_status.json",
+      "bytes": 16958,
       "top_level_type": "dict"
     },
     {
       "path": "data/mirror_parity.json",
+      "bytes": 58417,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/project_manifest.json",
+      "bytes": 4060,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
+      "bytes": 5840,
       "top_level_type": "dict"
     },
     {
       "path": "data/quality_gates.json",
+      "bytes": 4737,
       "top_level_type": "dict"
     },
     {
       "path": "data/reproducibility_matrix.json",
+      "bytes": 4940,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/reviewer_packet.json",
+      "bytes": 7117,
       "top_level_type": "dict"
     },
     {
       "path": "data/reviewer_scorecard.json",
+      "bytes": 6107,
       "top_level_type": "dict"
     },
     {
       "bytes": 19964,
       "top_level_type": "dict"
     },
+    {
+      "path": "data/source_alignment_audit.json",
+      "bytes": 4021,
+      "top_level_type": "dict"
+    },
     {
       "path": "data/summary_metrics.json",
       "bytes": 25075,
     },
     {
       "path": "data/website_integrity.json",
+      "bytes": 7900,
       "top_level_type": "dict"
     },
     {

docs/index.html CHANGED Viewed

@@ -1377,6 +1377,7 @@
           <article class="artifact"><h3>HF access boundary</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 is planning metadata, not local data possession or a result claim.</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>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>HF access boundary</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 is planning metadata, not local data possession or a result claim.</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 audit</h3><p>The source-alignment validator checks full-dataset facts, public sample-card facts, API-listing caveats, and boundary markers across the repo, website, and HF cards.</p><a href="data/source_alignment_audit.json">source audit</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>

scripts/build_artifact_index.py CHANGED Viewed

@@ -73,6 +73,30 @@ ARTIFACTS = [
         "surface": "website_hf",
         "proves": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
     },
     {
         "id": "evaluation_protocol",
         "title": "Evaluation protocol",

         "surface": "website_hf",
         "proves": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
     },
+    {
+        "id": "source_alignment_audit",
+        "title": "Source alignment audit",
+        "path": "SOURCE_ALIGNMENT_AUDIT.md",
+        "kind": "source_alignment",
+        "surface": "repo_hf",
+        "proves": "Summarizes the pass/fail audit for full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers.",
+    },
+    {
+        "id": "source_alignment_audit_json",
+        "title": "Source alignment audit JSON",
+        "path": "docs/data/source_alignment_audit.json",
+        "kind": "source_alignment",
+        "surface": "website_hf",
+        "proves": "Machine-readable source-alignment pass/fail audit for repo, website, and HF surfaces.",
+    },
+    {
+        "id": "source_alignment_validator",
+        "title": "Source alignment validator",
+        "path": "scripts/validate_source_alignment.py",
+        "kind": "source_alignment",
+        "surface": "repo_hf",
+        "proves": "Regenerates the source-alignment audit from committed facts and public card text.",
+    },
     {
         "id": "evaluation_protocol",
         "title": "Evaluation protocol",

scripts/build_quality_gates.py CHANGED Viewed

@@ -27,6 +27,14 @@ GATES = [
         "blocks_if": "Historical 32ep smoke/provenance strings are presented as real 32-episode metrics.",
         "proves": "The public narrative does not overclaim the Qwen3-Omni smoke artifacts.",
     },
     {
         "id": "website_integrity",
         "title": "Website integrity",
@@ -170,6 +178,7 @@ def markdown(payload: dict) -> str:
         "",
         "```bash",
         "python scripts/validate_scope_claims.py",
         "python scripts/build_evaluation_protocol.py",
         "python scripts/validate_website_integrity.py",
         "python scripts/build_quality_gates.py",

         "blocks_if": "Historical 32ep smoke/provenance strings are presented as real 32-episode metrics.",
         "proves": "The public narrative does not overclaim the Qwen3-Omni smoke artifacts.",
     },
+    {
+        "id": "source_alignment",
+        "title": "Source alignment audit",
+        "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 public-card boundary markers are missing or inconsistent.",
+        "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project boundary.",
+    },
     {
         "id": "website_integrity",
         "title": "Website integrity",
         "",
         "```bash",
         "python scripts/validate_scope_claims.py",
+        "python scripts/validate_source_alignment.py",
         "python scripts/build_evaluation_protocol.py",
         "python scripts/validate_website_integrity.py",
         "python scripts/build_quality_gates.py",

scripts/validate_mirror_parity.py CHANGED Viewed

@@ -34,6 +34,7 @@ DATA_FILES = [
     "reviewer_packet.json",
     "reviewer_scorecard.json",
     "scope_claims_audit.json",
     "summary_metrics.json",
     "task_walkthroughs.json",
     "website_integrity.json",
@@ -61,6 +62,7 @@ SCRIPT_FILES = [
     "validate_mirror_parity.py",
     "validate_publication_package.py",
     "validate_scope_claims.py",
     "validate_website_integrity.py",
 ]
@@ -72,6 +74,7 @@ DOC_FILES = [
     "QUALITY_GATES.md",
     "EVALUATION_PROTOCOL.md",
     "REVIEWER_SCORECARD.md",
     "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
 ]

     "reviewer_packet.json",
     "reviewer_scorecard.json",
     "scope_claims_audit.json",
+    "source_alignment_audit.json",
     "summary_metrics.json",
     "task_walkthroughs.json",
     "website_integrity.json",
     "validate_mirror_parity.py",
     "validate_publication_package.py",
     "validate_scope_claims.py",
+    "validate_source_alignment.py",
     "validate_website_integrity.py",
 ]
     "QUALITY_GATES.md",
     "EVALUATION_PROTOCOL.md",
     "REVIEWER_SCORECARD.md",
+    "SOURCE_ALIGNMENT_AUDIT.md",
     "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
 ]

scripts/validate_publication_package.py CHANGED Viewed

@@ -54,6 +54,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
             "EVALUATION_PROTOCOL.md",
             "REVIEWER_SCORECARD.md",
             "cc-by-nc-4.0",
@@ -68,6 +69,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -83,6 +85,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -97,6 +100,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
             "EVALUATION_PROTOCOL.md",
             "REVIEWER_SCORECARD.md",
             "cc-by-nc-4.0",
@@ -111,6 +115,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -221,6 +226,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "REVIEWER_SCORECARD.md",
         "QUALITY_GATES.md",
         "EVALUATION_PROTOCOL.md",
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "REPRODUCIBILITY.md",
         "EVIDENCE_CONTRACT.md",
@@ -232,6 +238,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "docs/sitemap.xml",
         "docs/data/evidence_contract.json",
         "docs/data/evaluation_protocol.json",
         "docs/data/artifact_index.json",
         "docs/data/live_publication_status.json",
         "docs/data/quality_gates.json",
@@ -268,6 +275,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "scripts/verify_live_publication.py",
         "scripts/validate_mirror_parity.py",
         "scripts/validate_scope_claims.py",
         "scripts/validate_website_integrity.py",
         "scripts/omni/train_qwen3_omni_lora.py",
     ]

         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+            "SOURCE_ALIGNMENT_AUDIT.md",
             "EVALUATION_PROTOCOL.md",
             "REVIEWER_SCORECARD.md",
             "cc-by-nc-4.0",
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+            "SOURCE_ALIGNMENT_AUDIT.md",
             "EVALUATION_PROTOCOL.md",
             "REVIEWER_SCORECARD.md",
             "cc-by-nc-4.0",
         "required": [
             "xperience10m-taskfirst-v12-modality-xl",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
         "REVIEWER_SCORECARD.md",
         "QUALITY_GATES.md",
         "EVALUATION_PROTOCOL.md",
+        "SOURCE_ALIGNMENT_AUDIT.md",
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "REPRODUCIBILITY.md",
         "EVIDENCE_CONTRACT.md",
         "docs/sitemap.xml",
         "docs/data/evidence_contract.json",
         "docs/data/evaluation_protocol.json",
+        "docs/data/source_alignment_audit.json",
         "docs/data/artifact_index.json",
         "docs/data/live_publication_status.json",
         "docs/data/quality_gates.json",
         "scripts/verify_live_publication.py",
         "scripts/validate_mirror_parity.py",
         "scripts/validate_scope_claims.py",
+        "scripts/validate_source_alignment.py",
         "scripts/validate_website_integrity.py",
         "scripts/omni/train_qwen3_omni_lora.py",
     ]

scripts/validate_source_alignment.py ADDED Viewed

	@@ -0,0 +1,358 @@

+#!/usr/bin/env python3
+"""Validate Xperience-10M source-description alignment.
+This is an offline gate over committed source-alignment facts. It checks that
+the repo distinguishes the gated full dataset, the public sample card, and this
+project's one-episode boundary across the main repo, website, and HF cards.
+"""
+from __future__ import annotations
+import argparse
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+ROOT = Path(__file__).resolve().parents[1]
+DEFAULT_HF_ROOT = ROOT.parent / "hf_publish"
+OUTPUT_JSON = ROOT / "docs/data/source_alignment_audit.json"
+OUTPUT_MD = ROOT / "SOURCE_ALIGNMENT_AUDIT.md"
+ALIGNMENT_JSON = ROOT / "docs/data/xperience10m_dataset_card_alignment.json"
+EXPECTED_FULL_DATASET = {
+    "repo_id": "ropedia-ai/xperience-10m",
+    "repo_sha": "ce943cf271a758b60240084892d05cf6dc12dd90",
+    "last_modified": "2026-04-21T05:03:45.000Z",
+    "gated": "manual",
+    "license": "other",
+    "task_categories": {
+        "video-classification",
+        "image-to-text",
+        "depth-estimation",
+        "robotics",
+    },
+    "modalities": {"3d", "audio", "video"},
+}
+EXPECTED_API_LISTING = {
+    "sibling_count": 85258,
+    "session_folder_count": 803,
+    "episode_folder_count": 12103,
+    "annotation_hdf5_count": 12103,
+    "mp4_count": 72612,
+    "visualization_rrd_count": 541,
+}
+EXPECTED_SAMPLE = {
+    "repo_id": "ropedia-ai/xperience-10m-sample",
+    "pretty_name": "Xperience-10M-Sample",
+    "license": "cc-by-nc-4.0",
+    "tooling": {"HOMIE Toolkit", "Rerun 0.29.0 for visualization.rrd"},
+}
+MODALITY_MARKERS = [
+    "six RGB video streams",
+    "audio",
+    "stereo depth",
+    "camera pose",
+    "SLAM",
+    "two-hand motion capture",
+    "full-body motion capture",
+    "inertial",
+    "language",
+    "metadata",
+    "calibration",
+]
+BOUNDARY_MARKERS = [
+    "full audio-visual learning",
+    "caption generation",
+    "depth-pixel estimation",
+    "SLAM estimation",
+    "neural rendering",
+    "policy learning",
+    "cross-episode generalization",
+    "real 32-episode Qwen3-Omni model quality",
+]
+PRESENTATION_MARKERS = {
+    "README.md": [
+        "ropedia-ai/xperience-10m",
+        "ropedia-ai/xperience-10m-sample",
+        "SOURCE_ALIGNMENT_AUDIT.md",
+        "source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "metadata only",
+    ],
+    "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md": [
+        "ropedia-ai/xperience-10m",
+        "ropedia-ai/xperience-10m-sample",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "metadata only",
+    ],
+    "DATA_NOTICE.md": [
+        "ropedia-ai/xperience-10m",
+        "ropedia-ai/xperience-10m-sample",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "does not redistribute",
+    ],
+    "docs/index.html": [
+        "ropedia-ai/xperience-10m",
+        "xperience-10m-sample",
+        "data/source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "not local data possession",
+    ],
+}
+HF_PRESENTATION_MARKERS = {
+    "space/README.md": [
+        "xperience10m_dataset_card_alignment.json",
+        "source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "source-listing facts only",
+    ],
+    "artifacts/README.md": [
+        "xperience10m_dataset_card_alignment.json",
+        "source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "metadata only",
+    ],
+    "artifacts/PROJECT_README.md": [
+        "ropedia-ai/xperience-10m-sample",
+        "SOURCE_ALIGNMENT_AUDIT.md",
+        "source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+    ],
+    "model/README.md": [
+        "xperience10m_dataset_card_alignment.json",
+        "source_alignment_audit.json",
+        "cc-by-nc-4.0",
+        "HOMIE",
+        "Toolkit",
+        "Rerun 0.29.0",
+        "12,103 episode folders",
+        "upstream metadata facts",
+    ],
+}
+def load_json(path: Path) -> dict:
+    return json.loads(path.read_text(encoding="utf-8"))
+def check(name: str, passed: bool, detail: str, evidence: list[str]) -> dict:
+    return {
+        "name": name,
+        "status": "pass" if passed else "fail",
+        "detail": detail,
+        "evidence": evidence,
+    }
+def marker_record(base: Path, relative_path: str, markers: list[str]) -> dict:
+    path = base / relative_path
+    text = path.read_text(encoding="utf-8", errors="ignore") if path.exists() else ""
+    missing = [marker for marker in markers if marker not in text]
+    return {
+        "path": relative_path,
+        "exists": path.exists(),
+        "required_marker_count": len(markers),
+        "missing_markers": missing,
+        "status": "pass" if path.exists() and not missing else "fail",
+    }
+def render_markdown(payload: dict) -> str:
+    alignment = payload["alignment_summary"]
+    lines = [
+        "# Source Alignment Audit",
+        "",
+        "This file is generated by `scripts/validate_source_alignment.py`. It checks",
+        "that public repo, website, and HF cards preserve the same Xperience-10M",
+        "source facts and boundary language.",
+        "",
+        f"Current status: **{payload['status']}**",
+        "",
+        "## Source Facts",
+        "",
+        "| Layer | Current value |",
+        "| --- | --- |",
+        f"| Full dataset repo | `{alignment['full_dataset_repo']}` |",
+        f"| Full dataset access | {alignment['full_dataset_access']} |",
+        f"| API episode listing | {alignment['api_episode_folders']:,} episode folders with `annotation.hdf5` as upstream metadata only |",
+        f"| Public sample repo | `{alignment['sample_repo']}` |",
+        f"| Public sample license | `{alignment['sample_license']}` |",
+        f"| Current verified project data | {alignment['current_project_scope']} |",
+        "",
+        "## Checks",
+        "",
+        "| Check | Status | Evidence |",
+        "| --- | --- | --- |",
+    ]
+    for item in payload["checks"]:
+        evidence = ", ".join(f"`{path}`" for path in item["evidence"])
+        lines.append(f"| {item['name']} | {item['status']} | {evidence} |")
+    lines.extend([
+        "",
+        "## Boundary",
+        "",
+        "- HF API file counts are source-listing metadata, not local data possession.",
+        "- The public sample license is preserved separately from the gated full dataset license field.",
+        "- Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.",
+        "- Current model evidence remains one public sample episode, not cross-episode generalization.",
+        "",
+    ])
+    return "\n".join(lines)
+def build_report(hf_root: Path) -> dict:
+    alignment = load_json(ALIGNMENT_JSON)
+    checks: list[dict] = []
+    metadata = alignment.get("hf_repo_metadata_observed", {})
+    api_listing = metadata.get("api_file_listing_observed", {})
+    sample = alignment.get("public_sample_card_observed", {})
+    current = alignment.get("current_repo_alignment", {})
+    checks.append(
+        check(
+            "full_dataset_metadata_matches_observed_snapshot",
+            metadata.get("repo_id") == EXPECTED_FULL_DATASET["repo_id"]
+            and metadata.get("repo_sha") == EXPECTED_FULL_DATASET["repo_sha"]
+            and metadata.get("last_modified") == EXPECTED_FULL_DATASET["last_modified"]
+            and metadata.get("gated") == EXPECTED_FULL_DATASET["gated"]
+            and metadata.get("license") == EXPECTED_FULL_DATASET["license"]
+            and set(metadata.get("task_categories", [])) == EXPECTED_FULL_DATASET["task_categories"]
+            and set(metadata.get("modalities", [])) == EXPECTED_FULL_DATASET["modalities"],
+            "gated full-dataset metadata matches the recorded HF API snapshot",
+            ["docs/data/xperience10m_dataset_card_alignment.json"],
+        )
+    )
+    checks.append(
+        check(
+            "api_listing_snapshot_is_consistent",
+            all(api_listing.get(key) == value for key, value in EXPECTED_API_LISTING.items()),
+            "HF API file-listing counts remain internally consistent in the committed alignment JSON",
+            ["docs/data/xperience10m_dataset_card_alignment.json"],
+        )
+    )
+    checks.append(
+        check(
+            "sample_card_metadata_is_preserved",
+            sample.get("repo_id") == EXPECTED_SAMPLE["repo_id"]
+            and sample.get("pretty_name") == EXPECTED_SAMPLE["pretty_name"]
+            and sample.get("license") == EXPECTED_SAMPLE["license"]
+            and set(sample.get("tooling", [])) == EXPECTED_SAMPLE["tooling"],
+            "public sample card license and tooling are recorded separately from the gated full dataset",
+            ["docs/data/xperience10m_dataset_card_alignment.json"],
+        )
+    )
+    modality_text = "\n".join(alignment.get("official_modalities", []))
+    missing_modalities = [marker for marker in MODALITY_MARKERS if marker not in modality_text]
+    checks.append(
+        check(
+            "official_modality_description_is_complete",
+            not missing_modalities,
+            f"missing modality markers={missing_modalities}",
+            ["docs/data/xperience10m_dataset_card_alignment.json"],
+        )
+    )
+    not_claimed = set(current.get("not_yet_claimed", []))
+    checks.append(
+        check(
+            "current_project_boundary_is_explicit",
+            current.get("validated_episode_count") == 1
+            and current.get("validated_frames") == 5821
+            and current.get("validated_windows") == 1161
+            and current.get("current_feature_dim") == 8378
+            and current.get("raw_data_redistributed") is False
+            and "not extracted into the current baseline feature vector" in current.get("audio_feature_status", "")
+            and set(BOUNDARY_MARKERS).issubset(not_claimed),
+            "one-episode scope, audio boundary, raw-data exclusion, and unsupported claims are present",
+            ["docs/data/xperience10m_dataset_card_alignment.json"],
+        )
+    )
+    repo_marker_records = [marker_record(ROOT, path, markers) for path, markers in PRESENTATION_MARKERS.items()]
+    hf_marker_records = [marker_record(hf_root, path, markers) for path, markers in HF_PRESENTATION_MARKERS.items()]
+    checks.append(
+        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/source-boundary markers",
+            [item["path"] for item in repo_marker_records],
+        )
+    )
+    checks.append(
+        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 source-boundary markers",
+            [item["path"] for item in hf_marker_records],
+        )
+    )
+    failures = [item for item in checks if item["status"] != "pass"]
+    payload = {
+        "title": "Ropedia Xperience-10M Source Alignment Audit",
+        "status": "pass" if not failures else "fail",
+        "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+        "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
+        "alignment_summary": {
+            "full_dataset_repo": metadata.get("repo_id"),
+            "full_dataset_access": metadata.get("gated"),
+            "api_episode_folders": api_listing.get("episode_folder_count"),
+            "sample_repo": sample.get("repo_id"),
+            "sample_license": sample.get("license"),
+            "current_project_scope": "1 public sample episode, 5,821 frames, 1,161 windows, 8,378 current features",
+        },
+        "checks": checks,
+        "repo_marker_records": repo_marker_records,
+        "hf_marker_records": hf_marker_records,
+        "failures": failures,
+    }
+    return payload
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--hf-root", type=Path, default=DEFAULT_HF_ROOT)
+    parser.add_argument("--output-json", type=Path, default=OUTPUT_JSON)
+    parser.add_argument("--output-md", type=Path, default=OUTPUT_MD)
+    args = parser.parse_args()
+    payload = build_report(args.hf_root.resolve())
+    args.output_json.parent.mkdir(parents=True, exist_ok=True)
+    args.output_json.write_text(json.dumps(payload, indent=2) + "\n", encoding="utf-8")
+    args.output_md.write_text(render_markdown(payload), encoding="utf-8")
+    print(f"{payload['status'].upper()}: wrote {args.output_json}")
+    print(f"{payload['status'].upper()}: wrote {args.output_md}")
+    return 0 if payload["status"] == "pass" else 1
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/validate_website_integrity.py CHANGED Viewed

@@ -284,6 +284,12 @@ def validate(docs_root: Path, site_base: str) -> dict:
             None,
             "The dataset-card section should distinguish HF API listing metadata from local data possession.",
         ),
     ]
     for name, marker, after_marker, reason in semantic_rules:
         if name == "suite_modality_atlas_contains_seven_cards":

             None,
             "The dataset-card section should distinguish HF API listing metadata from local data possession.",
         ),
+        (
+            "dataset_card_section_links_source_alignment_audit",
+            'data/source_alignment_audit.json',
+            None,
+            "The dataset-card section should expose the generated source-alignment audit.",
+        ),
     ]
     for name, marker, after_marker, reason in semantic_rules:
         if name == "suite_modality_atlas_contains_seven_cards":

scripts/verify_live_publication.py CHANGED Viewed

@@ -60,6 +60,17 @@ HASH_GROUPS = [
             "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/xperience10m_dataset_card_alignment.json",
         },
     },
     {
         "id": "reviewer_scorecard_json",
         "title": "Reviewer scorecard JSON",
@@ -105,6 +116,7 @@ MARKER_CHECKS = [
             "Release gates are explicit",
             "quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -124,6 +136,7 @@ MARKER_CHECKS = [
             "Release gates are explicit",
             "quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -143,6 +156,7 @@ MARKER_CHECKS = [
             "QUALITY_GATES.md",
             "docs/data/quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
@@ -158,6 +172,7 @@ MARKER_CHECKS = [
             "QUALITY_GATES.md",
             "metrics/quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",

             "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/xperience10m_dataset_card_alignment.json",
         },
     },
+    {
+        "id": "source_alignment_audit_json",
+        "title": "Source-alignment audit JSON",
+        "local_path": "docs/data/source_alignment_audit.json",
+        "urls": {
+            "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/source_alignment_audit.json",
+            "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/source_alignment_audit.json",
+            "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/source_alignment_audit.json",
+            "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/source_alignment_audit.json",
+        },
+    },
     {
         "id": "reviewer_scorecard_json",
         "title": "Reviewer scorecard JSON",
             "Release gates are explicit",
             "quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
             "Release gates are explicit",
             "quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
             "QUALITY_GATES.md",
             "docs/data/quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",
             "QUALITY_GATES.md",
             "metrics/quality_gates.json",
             "xperience10m_dataset_card_alignment.json",
+            "source_alignment_audit.json",
             "evaluation_protocol.json",
             "reviewer_scorecard.json",
             "cc-by-nc-4.0",