Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -6,7 +6,7 @@ suite artifacts. It complements the machine-readable
 
 The project intentionally separates nine layers:
 
-1. **Reviewer scorecard:** one compact table for first-pass current-state
+1. **Project status:** one compact table for first-pass current-state
    decisions.
 2. **Proof boundary:** what is claimed, what is readiness-only, and what
    remains gated by data access.
@@ -21,7 +21,7 @@ The project intentionally separates nine layers:
    aligned model windows and feature blocks.
 7. **Task evidence:** minimal and neural results for the 12 task contracts plus
    four research-direction extension probes.
-8. **Reproducibility:** public commands, expected outputs, and exact-match audit
+8. **Reproducibility:** public commands, expected outputs, and exact-match
    evidence for the single-episode pipeline.
 9. **Scale-up status:** scripts and reports for the planned 32-episode
    Qwen3-Omni pilot, without claiming those results before data access lands.
@@ -30,7 +30,7 @@ The project intentionally separates nine layers:
 
 | Artifact | Why to open it first |
 | --- | --- |
-| [`REVIEWER_SCORECARD.md`](REVIEWER_SCORECARD.md) | Gives the fastest current decision table: verified, data-gated, and excluded claims. |
+| [`PROJECT_STATUS.md`](PROJECT_STATUS.md) | Gives the fastest current decision table: verified, data-gated, and excluded claims. |
 | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines which claims are verified and which are explicitly not claimed. |
 | [`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. |
@@ -39,11 +39,11 @@ The project intentionally separates nine layers:
 | [`FIGURE_INDEX.md`](FIGURE_INDEX.md) | Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts. |
 | [`docs/data/brand_assets.json`](docs/data/brand_assets.json) | Catalogs the generated logo system, favicon, app icon, social card, dimensions, hashes, and usage roles. |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
-| [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
+| [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists project-critical files with existence, size, and stable hashes. |
 | [`docs/data/figure_index.json`](docs/data/figure_index.json) | Machine-readable visual asset index for website and HF mirrors. |
-| [`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json) | Machine-readable copy of the reviewer decision table. |
+| [`docs/data/project_status.json`](docs/data/project_status.json) | Machine-readable copy of the project status table. |
 | [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable source-alignment summary, including gated metadata, sample license/tooling, and 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/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable pass/fail check 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. |
@@ -52,7 +52,7 @@ The project intentionally separates nine layers:
 | [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Confirms historical `32ep` smoke-run identifiers are not presented as real 32-episode results. |
 | [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json) | Confirms the public 12-task cards use readable task names, modality thumbnails, and the interactive walkthrough/player data contract. |
 | [`docs/data/website_integrity.json`](docs/data/website_integrity.json) | Confirms local site links, anchors, JSON bundles, and referenced images resolve. |
-| [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json) | Gives the shortest machine-readable reviewer route. |
+| [`docs/data/project_packet.json`](docs/data/project_packet.json) | Gives the shortest machine-readable project route. |
 
 ## Official Source Alignment
 
@@ -60,9 +60,9 @@ The project intentionally separates nine 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. |
-| [`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. |
+| [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Generated source-alignment report 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 check of source metadata, source-boundary markers, and HF card parity. |
+| [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Regenerates the source-alignment report from committed alignment facts and public card text. |
 
 ## Evaluation Protocol
 
@@ -113,13 +113,13 @@ The project intentionally separates nine layers:
 | --- | --- |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Public commands, expected outputs, and non-reproducible boundaries are explicit. |
 | [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json) | Machine-readable command matrix for website and HF mirrors. |
-| [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | The last exact metric audit rebuilt the public-sample metrics and matched committed artifacts. |
+| [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | The last exact metric check rebuilt the public-sample metrics and matched committed artifacts. |
 
 ## Platform Mirrors
 
 | Surface | Purpose |
 | --- | --- |
-| [GitHub Pages dashboard](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/) | Primary public website and visual reviewer flow. |
+| [GitHub Pages dashboard](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/) | Primary public website and visual research flow. |
 | [Hugging Face Space](https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite) | Static app mirror for HF users. |
 | [HF artifact dataset](https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts) | Derived CSV/JSON/Markdown/figure artifacts without raw Xperience-10M data. |
 | [HF baseline model repo](https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines) | Lightweight minimal and neural task-head model files. |

CITATION.cff

@@ -4,7 +4,7 @@ title: "Ropedia Xperience-10M Task Suite"
 type: software
 version: "0.1.0"
 date-released: "2026-06-01"
-abstract: "Audit-first single-episode embodied-AI task suite for the public Ropedia Xperience-10M sample, with 12 minimal task heads, 12 neural MLP heads, four research-direction probes, reproducible metrics, and public dashboard artifacts."
+abstract: "Research-development embodied-AI task lab for the public Ropedia Xperience-10M sample, with 12 minimal task heads, 12 neural MLP heads, four research-direction probes, reproducible metrics, and public dashboard artifacts."
 authors:
   - family-names: "Yue"
     given-names: "Chao"

EVIDENCE_CONTRACT.md

@@ -1,20 +1,21 @@
 # Evidence Contract
 
-This project is intentionally audit-first. Every visible claim should point to a
-local artifact that a reader can inspect before trusting the dashboard.
+This project is organized as a research-development workspace. Every visible
+claim should point to a local artifact that a reader can inspect before using
+the dashboard as a basis for further work.
 
 | Claim | Current evidence | Status | Boundary |
 | --- | --- | --- | --- |
-| 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 |
+| A first-pass reader has a compact current-state summary. | `PROJECT_STATUS.md`, `docs/data/project_status.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 |
-| Public figures are indexed as reviewer evidence. | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | Verified visual evidence | Derived figures and thumbnails only; does not include raw MP4/HDF5/RRD data |
+| 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 alignment | Offline committed-fact check; does not fetch private gated data |
+| Public figures are indexed as project evidence. | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | Verified visual evidence | Derived figures and thumbnails only; does not include raw MP4/HDF5/RRD data |
 | The project logo is consistently packaged across public surfaces. | `docs/data/brand_assets.json`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Verified brand packaging | Generated presentation assets only; does not contain raw Xperience-10M data or model weights |
 | The public Xperience-10M sample has been converted into aligned model windows. | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/shared_windows.npz`, `results/episode_task_suite/summary_report.json` | Verified for 5,821 frames and 1,161 windows | One public sample episode only |
-| 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 current feature contract is explicit and inspectable. | `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 |
-| The public sample modalities are inspectable without raw data redistribution. | `docs/data/modality_atlas.json`, `docs/assets/modalities/`, website modality atlas | Verified derived thumbnail atlas | Thumbnails are presentation/review assets, not a replacement for official raw data access |
-| Public task cards stay readable for non-expert reviewers. | `docs/data/task_surface_integrity.json`, `scripts/validate_task_surface.py`, website task cards/player | Verified task-surface gate | Presentation integrity only; it does not add model quality or new data |
+| The public sample modalities are inspectable without raw data redistribution. | `docs/data/modality_atlas.json`, `docs/assets/modalities/`, website modality atlas | Verified derived thumbnail atlas | Thumbnails are presentation assets, not a replacement for official raw data access |
+| Public task cards stay readable for non-expert readers. | `docs/data/task_surface_integrity.json`, `scripts/validate_task_surface.py`, website task cards/player | Verified task-surface gate | Presentation integrity only; it does not add model quality or new data |
 | The 12 task heads are real scripts and artifacts, not presentation placeholders. | `scripts/episode_task_suite.py`, `results/episode_task_suite/*/metrics.json`, `results/episode_task_suite/*/predictions.*` | Verified for all 12 task definitions | Chronological single-episode split, not cross-episode generalization |
 | Minimal and neural heads use the same task contracts. | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/`, `docs/assets/task_architectures.png` | Verified for 12 minimal heads and 12 neural MLP heads | Small heads only; not a foundation model |
 | Four Ropedia research directions are mapped honestly as direct, proxy, or diagnostic evidence. | `results/episode_task_suite/research_directions/research_direction_taxonomy.json`, `docs/data/research_directions.json` | Verified taxonomy | Some directions remain proxy-only |
@@ -25,18 +26,18 @@ local artifact that a reader can inspect before trusting the dashboard.
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Verified pass | Compares prepared data files, visual assets, website HTML, and validator scripts before upload; live URLs are checked after publishing |
 | The public GitHub and Hugging Face bundles are publication-clean. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Verified pass | Checks public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded |
 | The public website has checked local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Verified pass | Checks local links, anchors, JSON data, and referenced images; external URLs are not fetched |
-| The release gate is explicit and reviewable. | `QUALITY_GATES.md`, `scripts/build_quality_gates.py`, `docs/data/quality_gates.json` | Verified pass | Summarizes packaging and live-mirror checks; it does not prove cross-episode model quality |
+| The release gate is explicit. | `QUALITY_GATES.md`, `scripts/build_quality_gates.py`, `docs/data/quality_gates.json` | Verified pass | Summarizes packaging and live-mirror checks; it does not prove cross-episode model quality |
 | The live public mirrors are checked after upload. | `scripts/verify_live_publication.py`, `docs/data/live_publication_status.json` | Verified pass | Fetches public GitHub/HF URLs; it does not validate private training state |
-| The core proof artifacts are indexed and grouped for fast review. | `ARTIFACT_GUIDE.md`, `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | Verified guide and index | Selective source-of-truth catalog, not a complete inventory of every output file |
-| The public reproduction path is documented. | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | Verified documentation and prior exact-match audit | Publicly reproduces the single-episode pipeline, not the gated 32-episode Qwen3-Omni pilot |
+| The core project artifacts are indexed and grouped for fast reading. | `ARTIFACT_GUIDE.md`, `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | Verified guide and index | Selective source-of-truth catalog, not a complete inventory of every output file |
+| The public reproduction path is documented. | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | Verified documentation and prior exact-match check | Publicly reproduces the single-episode pipeline, not the gated 32-episode Qwen3-Omni pilot |
 | The project is externally citable and machine-readable. | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | Verified metadata files | Code license does not override original Xperience-10M dataset terms |
-| A first-time reviewer has an explicit audit path. | `docs/data/reviewer_packet.json`, website reviewer section, README reviewer path | Verified reviewer packet | It guides inspection; it does not add new experimental claims |
+| A first-time reader has an explicit project path. | `docs/data/project_packet.json`, website project path section, README project path | Verified project packet | It guides inspection; it does not add new experimental claims |
 
-## Review Order
+## Reading Order
 
-1. Read `REVIEWER_SCORECARD.md` and `docs/data/reviewer_scorecard.json` for
+1. Read `PROJECT_STATUS.md` and `docs/data/project_status.json` for
    the fastest current-state decision table.
-2. Read `docs/data/reviewer_packet.json` for the shortest audit path and proof
+2. Read `docs/data/project_packet.json` for the shortest project path and scope
    boundary.
 3. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
    `docs/data/xperience10m_dataset_card_alignment.json` to check the official
@@ -51,7 +52,7 @@ local artifact that a reader can inspect before trusting the dashboard.
    check windowing, split policy, per-task metrics, leakage controls, and
    unsupported interpretations.
 7. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
-   reviewer artifacts, indexed proof artifacts,
+   project artifacts, indexed supporting artifacts,
    sizes, and stable-file hashes.
 8. Read `docs/assets/task_suite_infographic.png` and
    `docs/data/modality_atlas.json` for the high-level map and modality atlas.

PROJECT_README.md

@@ -11,8 +11,8 @@
   <img src="docs/assets/brand/xperience10m-logo-social-card.png" alt="Ropedia Xperience-10M Task Suite logo card" width="760">
 </p>
 
-An audit-first embodied-AI learning repo built around one public
-Xperience-10M sample episode released by Ropedia.
+A research-development repo built around the public Xperience-10M sample
+episode released by Ropedia.
 
 The project does one narrow thing carefully: it turns a raw multimodal episode
 into:
@@ -35,7 +35,7 @@ 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 |
-| 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 |
+| Source alignment | `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 |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts |
 | Brand assets | `docs/assets/brand/`, `docs/favicon.png`, `docs/apple-touch-icon.png`, `scripts/build_brand_assets.py` | applies the generated project logo system across the website, README, HF cards, favicon, and social previews |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
@@ -49,16 +49,16 @@ This repo is organized around an explicit proof boundary:
 | Scope claims guard | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | historical `32ep` path strings are provenance, not 32-episode results |
 | Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, website HTML, and validator files |
 | Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded, and public cards must reference the current task-first figure |
-| Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one reviewer-facing checklist for automated gates and live post-publish checks |
+| Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one checklist for automated gates and live post-publish checks |
 | Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
-| Reviewer scorecard | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | compact verified/data-gated/not-redistributed decision table for first-pass reviewers |
+| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact verified/data-gated/not-redistributed decision table for first-pass readers |
 | Citation and metadata | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | code is MIT-scoped; raw-data use follows Xperience-10M terms |
-| Reviewer path | `docs/data/reviewer_packet.json`, website reviewer section | audit guide only; no new experimental claim |
+| Project path | `docs/data/project_packet.json`, website project path section | navigation guide only; no new experimental claim |
 
 Read the full contract in [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), or
 consume the machine-readable copy at
 [`docs/data/evidence_contract.json`](docs/data/evidence_contract.json).
-The current publication audit is at
+The current publication hygiene report is at
 [`docs/data/publication_audit.json`](docs/data/publication_audit.json).
 The publication quality-gate summary is at
 [`QUALITY_GATES.md`](QUALITY_GATES.md) and
@@ -67,7 +67,7 @@ The last live-publication verification report is at
 [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json).
 The current prepared-mirror parity report is at
 [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json).
-The current scope-claims audit is at
+The current scope-claims guard is at
 [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json).
 The task-card and walkthrough-storyboard integrity report is at
 [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json).
@@ -88,7 +88,7 @@ The upstream dataset-card alignment note is
 [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md),
 with a machine-readable copy at
 [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json).
-The generated source-alignment audit is at
+The generated source-alignment report is at
 [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) and
 [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json).
 The generated figure index is at
@@ -96,15 +96,15 @@ The generated figure index is at
 [`docs/data/figure_index.json`](docs/data/figure_index.json).
 The project logo system is packaged by
 [`scripts/build_brand_assets.py`](scripts/build_brand_assets.py), stored under
-[`docs/assets/brand/`](docs/assets/brand/), and audited in
+[`docs/assets/brand/`](docs/assets/brand/), and indexed in
 [`docs/data/brand_assets.json`](docs/data/brand_assets.json).
 
-## Reviewer Scorecard
+## Project Status
 
 If you only have one minute, use
-[`REVIEWER_SCORECARD.md`](REVIEWER_SCORECARD.md) and
-[`docs/data/reviewer_scorecard.json`](docs/data/reviewer_scorecard.json).
-They give the current decision boundary in one compact table:
+[`PROJECT_STATUS.md`](PROJECT_STATUS.md) and
+[`docs/data/project_status.json`](docs/data/project_status.json).
+They give the current research state in one compact table:
 
 | Area | Current decision |
 | --- | --- |
@@ -112,37 +112,37 @@ 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 |
-| Source alignment audit | Verified source facts and source-boundary markers across repo, website, and HF cards |
+| Source alignment | 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 |
 | Raw Xperience-10M data / full Qwen weights | Not redistributed |
 
-## 90-Second Reviewer Path
+## 90-Second Research Project Path
 
-If you are reviewing the project cold, open these in order:
+If you are reading the project cold, open these in order:
 
 | Step | Question | Primary artifacts | What should be true |
 | --- | --- | --- | --- |
-| 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/figure_index.json`](docs/data/figure_index.json), [`docs/data/brand_assets.json`](docs/data/brand_assets.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, visual/brand assets are indexed, and quality gates plus prepared and live mirrors are checked. |
+| 1 | What has been implemented? | [`PROJECT_STATUS.md`](PROJECT_STATUS.md), [`docs/data/project_status.json`](docs/data/project_status.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/figure_index.json`](docs/data/figure_index.json), [`docs/data/brand_assets.json`](docs/data/brand_assets.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 implemented; historical `32ep` identifiers are not treated as real 32-episode results, visual/brand assets are indexed, 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. |
+| 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 reproduction 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), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 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).
+The machine-readable project packet is
+[`docs/data/project_packet.json`](docs/data/project_packet.json).
 
 ## Artifact Index
 
 [`docs/data/artifact_index.json`](docs/data/artifact_index.json) is the compact
-audit map for the repo. It lists the core proof artifacts, whether each exists,
+project artifact map for the repo. It lists the core supporting artifacts, whether each exists,
 its size, and a SHA-256 hash for stable files. Volatile generated files, such as
-the publication audit with a run timestamp, are marked so reviewers know they
+the publication hygiene report with a run timestamp, are marked so readers know they
 are checked for presence and size rather than treated as fixed hashes.
 
 [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) is the human-readable companion. It
@@ -195,7 +195,7 @@ The public sample repo,
 is separately documented as `Xperience-10M-Sample` with sample metadata,
 `cc-by-nc-4.0` license, HOMIE Toolkit usage, and Rerun 0.29.0 `.rrd`
 visualization. This project preserves that distinction: the sample powers the
-current 5,821-frame audit suite, while the full gated dataset remains the
+current 5,821-frame task suite, while the full gated dataset remains the
 future source for held-out multi-episode training.
 
 This repo's current verified subset is much smaller and intentionally explicit:
@@ -231,23 +231,23 @@ Hugging Face Space app:
 
 | Layer | What to inspect | Why it matters |
 | --- | --- | --- |
-| Reviewer scorecard | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | Gives a one-table current decision boundary before reading the full audit trail |
+| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Gives a one-table current project boundary before reading the full artifact trail |
 | Data contract | `windows.csv`, `feature_manifest.json`, modality manifests | Confirms what each sample window contains before modeling |
 | Official dataset alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Keeps public descriptions aligned with the official gated dataset card |
-| Source alignment audit | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Verifies source facts and boundary markers across repo, website, and HF cards |
-| Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json` | Makes public figures, charts, modality thumbnails, dimensions, hashes, and source scripts auditable |
-| Brand assets | `docs/data/brand_assets.json`, `docs/assets/brand/` | Makes the generated logo, favicon, README/HF card image, app icon, and social preview auditable |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Verifies source facts and boundary markers across repo, website, and HF cards |
+| Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json` | Indexes public figures, charts, modality thumbnails, dimensions, hashes, and source scripts |
+| Brand assets | `docs/data/brand_assets.json`, `docs/assets/brand/` | Indexes the generated logo, favicon, README/HF card image, app icon, and social preview |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and unsupported interpretations |
 | Task surface integrity | `docs/data/task_surface_integrity.json` | Checks the public task cards, readable task names, representative modality thumbnails, and interactive walkthrough storyboard |
 | 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 |
-| Evidence | metrics, predictions, confusion matrices, diagrams, dashboard | Makes the single-episode claims reviewable without rerunning first |
+| Evidence | metrics, predictions, confusion matrices, diagrams, dashboard | Makes the single-episode task development inspectable without rerunning first |
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Shows the exact automated and post-publish checks required before presenting a release as current |
 | Live publication status | `docs/data/live_publication_status.json` | Records the last live GitHub Pages, GitHub raw, and Hugging Face mirror verification |
-| Publication audit | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale public-card figure references |
-| Artifact index | `docs/data/artifact_index.json` | Gives reviewers a compact source-of-truth catalog with stable hashes |
-| Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into reviewer-friendly layers |
-| Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match audit evidence, and non-reproducible boundaries |
+| Publication hygiene | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale public-card figure references |
+| Artifact index | `docs/data/artifact_index.json` | Gives readers a compact source-of-truth catalog with stable hashes |
+| Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into research-project layers |
+| Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
 | Citation metadata | `CITATION.cff`, `codemeta.json`, `LICENSE` | Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms |
 
 ## Links
@@ -328,8 +328,8 @@ scripts/
   export_modality_atlas_assets.py   # exports responsive modality-card assets
   render_overview_figures.py        # renders polished pipeline/architecture PNGs
   build_brand_assets.py             # derives logo sizes, favicon, social card
-  build_artifact_index.py           # builds the source-of-truth reviewer index
-  build_quality_gates.py            # builds reviewer-facing publication gates
+  build_artifact_index.py           # builds the source-of-truth artifact index
+  build_quality_gates.py            # builds publication quality gates
   validate_mirror_parity.py         # checks prepared GitHub/HF mirror file parity
   validate_scope_claims.py          # checks Qwen3-Omni readiness/result claim boundaries
   validate_task_surface.py          # checks readable task cards and interactive storyboard wiring
@@ -365,7 +365,7 @@ docs/
   data/task_surface_integrity.json  # machine-readable task-card/storyboard integrity check
   data/website_integrity.json       # machine-readable website integrity check
   data/project_manifest.json        # machine-readable public-surface metadata
-  data/reviewer_packet.json         # machine-readable reviewer path and proof boundary
+  data/project_packet.json          # machine-readable project path and scope boundary
   data/research_directions.json     # four-track website data bundle
   data/research_direction_extensions.json # four extra probe data bundle
   data/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data
@@ -738,7 +738,7 @@ The strongest single-episode self-supervised signal is cross-modal retrieval:
 motion/IMU/camera features retrieve matching depth/video windows substantially
 better than random.
 
-## Reproducibility Audit
+## Reproducibility Check
 
 I re-ran the full pipeline from the local raw public sample into
 `/private/tmp/ropedia-audit` and compared regenerated metrics with the committed

PROJECT_STATUS.md

@@ -0,0 +1,45 @@
+# Project Status
+
+This is the fastest way to understand the current research project state.
+It summarizes what has already been implemented from the public
+Xperience-10M sample, what remains data-gated, and which artifacts support
+the next development step.
+
+| Area | Current state | Evidence | Research readout |
+| --- | --- | --- | --- |
+| Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,378-dimensional current feature contract. |
+| Task suite | Verified | `scripts/episode_task_suite.py`, `results/episode_task_suite/`, `docs/data/summary_metrics.json` | All 12 task contracts have committed metrics, predictions, and minimal baseline outputs. |
+| 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 | 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 reproduction evidence. |
+| Qwen3-Omni fine-tuning | Data-gated, not a model-quality claim | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | The 32-episode LoRA pilot is prepared, but no real held-out 32-episode result is claimed until gated data access, manifest construction, training, and held-out evaluation pass. |
+| Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
+
+## Fast Research Route
+
+1. Read this status file and `EVIDENCE_CONTRACT.md` to establish what is
+   claimed.
+2. Open `docs/data/project_packet.json` for the machine-readable project path.
+3. Inspect `docs/data/summary_metrics.json` and
+   `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.
+
+## Do Not Infer
+
+- Do not infer cross-episode generalization from the single public sample.
+- Do not treat historical `32ep` path names as real 32-episode training
+  results.
+- Do not treat the current reconstruction task as pixel-depth, mesh, NeRF, or
+  Gaussian reconstruction.
+- Do not assume audio has entered the current 8,378-dimensional baseline
+  feature vector; it is documented and visualized but not yet featurized.

QUALITY_GATES.md

@@ -1,6 +1,6 @@
 # Publication Quality Gates
 
-This file is the reviewer-facing release checklist for the Ropedia Xperience-10M Task Suite.
+This file is the release checklist for the Ropedia Xperience-10M Task Suite.
 
 Current gate status: **pass**
 
@@ -13,14 +13,14 @@ These gates validate public packaging, claim boundaries, mirror parity, website
 | 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 readiness/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. |
+| Source alignment | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing caveats, or 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. |
 | Task surface integrity | `python scripts/validate_task_surface.py` | `docs/data/task_surface_integrity.json` | `pass` | Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON. |
 | Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit. |
 | Figure index | `python scripts/build_figure_index.py` | `docs/data/figure_index.json` | `pass` | Public figures, charts, or modality thumbnails are missing, unreadable, or lack source-script provenance. |
 | Brand assets | `python scripts/build_brand_assets.py` | `docs/data/brand_assets.json` | `pass` | The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged. |
-| 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. |
-| Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Reviewer-critical evidence files are missing from the indexed proof layer. |
+| Quality-gate manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reader cannot see the current packaging gates in one place. |
+| Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Project-critical evidence files are missing from the indexed proof layer. |
 | Publication hygiene | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles. |
 | Prepared mirror parity | `python scripts/validate_mirror_parity.py` | `docs/data/mirror_parity.json` | `pass` | Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files. |
 

README.md

@@ -24,7 +24,7 @@ size_categories:
 
 # Ropedia Xperience-10M Task Suite Artifacts
 
-This dataset repo contains the derived evidence layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and the small neural MLP task-head artifacts.
+This dataset repo contains the derived research artifact layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and the small neural MLP task-head artifacts.
 
 ![Ropedia Xperience-10M Task Suite logo](assets/brand/xperience10m-logo-social-card.png)
 
@@ -61,13 +61,13 @@ metadata only, not files redistributed in this artifact dataset. The same
 source note preserves the official limited in diversity / showcase-quality
 disclaimer and excludes identity, surveillance, biometric, sensitive-attribute,
 and safety-critical uses.
-The generated source-alignment audit, `SOURCE_ALIGNMENT_AUDIT.md` plus
+The generated source-alignment report, `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:
+For first-pass reading, `PROJECT_STATUS.md` and
+`docs/data/project_status.json` provide the compact current decision table:
 verified public-sample pipeline, verified task/neural heads, source-aligned
 dataset wording, data-gated Qwen3-Omni scale-up, and excluded raw data.
 `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` define the
@@ -88,13 +88,13 @@ remain readiness evidence, not real 32-episode held-out metrics.
 
 ## Why This Repo Exists
 
-This is the reviewable half of the project. You can inspect the task outputs, compare the committed metrics, and understand the single-episode limitations without downloading the raw videos first.
+This is the explorable artifact half of the project. You can inspect the task outputs, compare the committed metrics, and understand the single-episode limitations without downloading the raw videos first.
 
-## 90-Second Reviewer Path
+## 90-Second Research Project Path
 
 | 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`, `FIGURE_INDEX.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/figure_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/task_surface_integrity.json`, `docs/data/website_integrity.json` |
+| 1 | What has been implemented? | `PROJECT_STATUS.md`, `docs/data/project_status.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `FIGURE_INDEX.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/figure_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/task_surface_integrity.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` |
@@ -102,12 +102,12 @@ This is the reviewable half of the project. You can inspect the task outputs, co
 | 6 | What is still pending? | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_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`.
+Project status: `PROJECT_STATUS.md` and `docs/data/project_status.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`.
+Source alignment: `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`.
+Machine-readable project packet: `docs/data/project_packet.json`.
 Source-of-truth artifact index: `docs/data/artifact_index.json`.
 Source-of-truth figure index: `FIGURE_INDEX.md` and `docs/data/figure_index.json`.
 Source-of-truth brand asset index: `docs/data/brand_assets.json`.
@@ -116,7 +116,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 
 | Claim layer | Evidence | Boundary |
 | --- | --- | --- |
-| Reviewer scorecard | `REVIEWER_SCORECARD.md`, `docs/data/reviewer_scorecard.json` | compact verified/data-gated/not-redistributed decision table |
+| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact verified/data-gated/not-redistributed decision table |
 | 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` | windowing, chronological split, leakage controls, and task metrics |
@@ -132,7 +132,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.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 |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers |
 | Brand assets | `assets/brand/`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Generated project logo system packaged for favicon, header, card, README, and social preview use |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-artifact catalog with stable hashes |
@@ -141,8 +141,8 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 ## What Is Included
 
 - `ARTIFACT_GUIDE.md`: human-readable map of proof boundary, data contract, task evidence, platform mirrors, and scale-up status
-- `REVIEWER_SCORECARD.md` and `docs/data/reviewer_scorecard.json`: compact reviewer decision table
-- `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json`: public commands, expected outputs, exact-match audit evidence, and non-reproducible boundaries
+- `PROJECT_STATUS.md` and `docs/data/project_status.json`: compact current-state decision table
+- `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json`: public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries
 - `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json`: generated task protocol, split policy, leakage controls, and unsupported interpretations
 - `results/**/*.json`: verified metrics and metadata for minimal and neural MLP runs
 - `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
@@ -154,7 +154,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable 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
+- `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`: generated report that source facts and project-boundary markers are preserved across public surfaces
 - `FIGURE_INDEX.md` and `docs/data/figure_index.json`: visual evidence index for public figures, charts, thumbnails, dimensions, hashes, and source scripts
 - `docs/data/artifact_index.json`: source-of-truth proof-artifact catalog with stable-file hashes
 - `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
@@ -162,10 +162,10 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 - `docs/data/publication_audit.json`: machine-readable publication hygiene and public-card freshness check
 - `docs/data/task_surface_integrity.json`: machine-readable task-card and walkthrough-player integrity check
 - `docs/data/website_integrity.json`: machine-readable website local-reference integrity check
-- `QUALITY_GATES.md` and `docs/data/quality_gates.json`: reviewer-facing and machine-readable release gates
+- `QUALITY_GATES.md` and `docs/data/quality_gates.json`: human-readable and machine-readable release gates
 - `docs/data/live_publication_status.json`: last live public URL verification after upload
 - `docs/data/project_manifest.json`: machine-readable public URL and citation metadata
-- `docs/data/reviewer_packet.json`: machine-readable reviewer path and proof boundary
+- `docs/data/project_packet.json`: machine-readable project path and scope boundary
 - `docs/data/research_directions.json`: generated four-track taxonomy for the website
 - `docs/data/research_direction_extensions.json`: four extra data-backed probes, one per research direction
 - `docs/data/task_walkthroughs.json`: human-readable task names, modality links, input/process/output contracts, and walkthrough-player data for all 12 tasks
@@ -183,7 +183,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 
 The companion model repo stores the lightweight model checkpoints and mirrors
 the binary arrays (`model.npz`, `model.pt`, and compact neural prediction
-arrays). This artifact dataset stays focused on reviewable CSV/JSON/Markdown,
+arrays). This artifact dataset stays focused on inspectable CSV/JSON/Markdown,
 scripts, notes, and visual assets:
 
 https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines

REPRODUCIBILITY.md

@@ -102,7 +102,7 @@ python scripts/validate_publication_package.py
 | 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` |
 | Task surface integrity | `docs/data/task_surface_integrity.json` |
-| Source alignment audit | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` |
+| Source alignment | `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` |
 | Brand assets | `docs/assets/brand/*.png`, `docs/favicon.png`, `docs/apple-touch-icon.png`, `docs/data/brand_assets.json` |

XPERIENCE10M_DATASET_CARD_ALIGNMENT.md

@@ -113,7 +113,7 @@ The sample card metadata observed for this project is:
 | visualization tool | Rerun 0.29.0 for `.rrd` |
 
 This project uses the public sample to build the 5,821-frame / 1,161-window
-audit suite. The sample license and the full gated dataset terms are both
+task-development suite. The sample license and the full gated dataset terms are both
 preserved in the public documentation; this repo's MIT code license does not
 grant additional rights to the raw data.
 
@@ -174,7 +174,7 @@ The official dataset card supports research directions such as:
 - depth estimation, visual odometry, camera trajectory, SLAM, and scene reconstruction
 - hand/body pose, human motion understanding, and sensor fusion
 
-This repo currently implements a single-episode audit suite that starts several
+This repo currently implements a single-episode task suite that starts several
 of those directions, but it does not solve the full official task list. The 12
 current tasks cover action/subtask labels, next-action prediction, transition
 and temporal diagnostics, hand trajectory forecasting, contact prediction,

codemeta.json

@@ -2,7 +2,7 @@
   "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
   "@type": "SoftwareSourceCode",
   "name": "Ropedia Xperience-10M Task Suite",
-  "description": "Audit-first single-episode embodied-AI task suite for the public Ropedia Xperience-10M sample, with 12 minimal task heads, 12 neural MLP heads, four research-direction probes, reproducible metrics, and public dashboard artifacts.",
+  "description": "Research-development embodied-AI task lab for the public Ropedia Xperience-10M sample, with 12 minimal task heads, 12 neural MLP heads, four research-direction probes, reproducible metrics, and public dashboard artifacts.",
   "codeRepository": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",
   "url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/",
   "issueTracker": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/issues",

docs/data/artifact_index.json

@@ -1,11 +1,11 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-01T17:55:18+00:00",
+  "generated_at_utc": "2026-06-01T18:53:36+00:00",
   "status": "pass",
   "artifact_count": 52,
   "missing": [],
   "by_kind": {
-    "review_path": 5,
+    "project_path": 5,
     "claim_boundary": 1,
     "source_alignment": 5,
     "publication_workflow": 1,
@@ -33,26 +33,26 @@
   },
   "artifacts": [
     {
-      "id": "reviewer_scorecard",
-      "title": "Reviewer scorecard",
-      "path": "REVIEWER_SCORECARD.md",
-      "kind": "review_path",
+      "id": "project_status",
+      "title": "Project status",
+      "path": "PROJECT_STATUS.md",
+      "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass reviewers.",
+      "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass readers.",
       "exists": true,
-      "bytes": 4367,
-      "sha256": "01c3fcd654db595d94b50bc4b68ff1ea9fb13789261dea04dbaba1caa44d5027"
+      "bytes": 4377,
+      "sha256": "f1b07e5d177c171216f1d0c88ae59c37c510c9f53995c6a3ec2b674bdcdc32e7"
     },
     {
-      "id": "reviewer_scorecard_json",
-      "title": "Reviewer scorecard JSON",
-      "path": "docs/data/reviewer_scorecard.json",
-      "kind": "review_path",
+      "id": "project_status_json",
+      "title": "Project status JSON",
+      "path": "docs/data/project_status.json",
+      "kind": "project_path",
       "surface": "website_hf",
-      "proves": "Machine-readable copy of the current reviewer scorecard for website and HF mirrors.",
+      "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
-      "bytes": 6114,
-      "sha256": "6288bddda015e07c0144bffa827c0849858feae5600086287037c005b87a4197"
+      "bytes": 6111,
+      "sha256": "ca7b72cd6256adbbc40e08478093f0f433d889f2c52717f50c7b68be1fda56ea"
     },
     {
       "id": "evidence_contract",
@@ -62,30 +62,30 @@
       "surface": "repo",
       "proves": "Defines what is verified, what is readiness-only, and what must not be inferred.",
       "exists": true,
-      "bytes": 10041,
-      "sha256": "f0c87b8e03629657ab73497f4c5f9e2dd8f422302885c62623e58a6b1fdd33f2"
+      "bytes": 10056,
+      "sha256": "f46a6b77b4e08ab233eb1ae72bb056ad14c9b0200243b61e44ee24182aaff6b9"
     },
     {
-      "id": "reviewer_packet",
-      "title": "Reviewer packet",
-      "path": "docs/data/reviewer_packet.json",
-      "kind": "review_path",
+      "id": "project_packet",
+      "title": "Project packet",
+      "path": "docs/data/project_packet.json",
+      "kind": "project_path",
       "surface": "website_hf",
-      "proves": "Gives a short audit path with scope status and public surfaces.",
+      "proves": "Gives a short project path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 7401,
-      "sha256": "fefadd40a7ea989dd6d3ff8e4122fc88efc2299f6802a262c24ff1efae8078b9"
+      "bytes": 7409,
+      "sha256": "0ccf5133156559d6699ef5db91a4723d80e35b188bb4df0ee06974a7bce0a814"
     },
     {
       "id": "artifact_guide",
       "title": "Artifact guide",
       "path": "ARTIFACT_GUIDE.md",
-      "kind": "review_path",
+      "kind": "project_path",
       "surface": "repo_hf",
       "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 12870,
-      "sha256": "c7666882fe354d2fda1119cda98e7125c040ad5552c8160a124ba727a304aa9b"
+      "bytes": 12856,
+      "sha256": "c89ffc1939bf4b35f8a749b902c9599885f4e5cdeb45e06a7880c0de0ea36359"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -95,8 +95,8 @@
       "surface": "repo_hf",
       "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and unsupported areas.",
       "exists": true,
-      "bytes": 10632,
-      "sha256": "d9212e072fdadb734dadcd2846f772427b99d003d593b0e1865931f4cfa3eca1"
+      "bytes": 10642,
+      "sha256": "e3986e5d251f1b4e0bbad677ecec0daa42e965146ded8473e9a1ed3b91d51f21"
     },
     {
       "id": "official_dataset_card_alignment_json",
@@ -110,23 +110,23 @@
       "sha256": "6e49a184495c1cc8061f68d7cc74b3ba6377aedffce90c203ae34168411fd538"
     },
     {
-      "id": "source_alignment_audit",
-      "title": "Source alignment audit",
+      "id": "source_alignment",
+      "title": "Source alignment",
       "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.",
+      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers.",
       "exists": true,
       "bytes": 2357,
       "sha256": "9ed1f8581f4656c8bd082be905d6b0ff3a9700410a0df6d60dbe1f1a4a49c63f"
     },
     {
-      "id": "source_alignment_audit_json",
-      "title": "Source alignment audit JSON",
+      "id": "source_alignment_json",
+      "title": "Source alignment 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.",
+      "proves": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4425,
       "sha256": "d0544dce6980d03ad73f3ee9ec9e9890de448b28f2a7bb7f7d6c715d7bc67157"
@@ -137,7 +137,7 @@
       "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.",
+      "proves": "Regenerates the source-alignment report from committed facts and public card text.",
       "exists": true,
       "bytes": 15826,
       "sha256": "3294745245526ef5a4bb42992c2d7fdd71612db26ad2545f64e4d2272c58f9f2"
@@ -150,8 +150,8 @@
       "surface": "repo_hf",
       "proves": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
       "exists": true,
-      "bytes": 7154,
-      "sha256": "c338b83516f379ebf022e1687b5d623a39f8cc6dc44a36ec8ecaa1e1e7b8ae6d"
+      "bytes": 7798,
+      "sha256": "f077e954f495cfb31bbb117c14f020bc09b29d7ae4e2f03ebcd81e961f3573e1"
     },
     {
       "id": "evaluation_protocol",
@@ -206,7 +206,7 @@
       "proves": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 13435,
-      "sha256": "39f834cb99bec9436f475fdf185325ff6e48ac4f4c9b7e09cd1832d0a704c401"
+      "sha256": "fec1f7500cdcf4b35eb17a7296c3eeaeb332a7973cb46094b66911227701a0c2"
     },
     {
       "id": "figure_index_builder",
@@ -216,8 +216,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
       "exists": true,
-      "bytes": 12981,
-      "sha256": "b2016bd5a7f4a1bd9fdf55887797e88d73073a38477ac4b145b2c56e8ee62b58"
+      "bytes": 12966,
+      "sha256": "510f9ae75561235f8c904ccba365696ef9a5eb68606fd508c00e93ca49a4b045"
     },
     {
       "id": "brand_assets_json",
@@ -260,8 +260,8 @@
       "surface": "repo_hf",
       "proves": "Lists the automated and post-publish gates required before presenting a release as current.",
       "exists": true,
-      "bytes": 4288,
-      "sha256": "ee1a6e0e04435f5e312fa30a1f28cb1c4d3c612dfbe95b752e7cfc5919422a9c"
+      "bytes": 4263,
+      "sha256": "bcb902bffd06ffc58fddc7195ce7f4dc49e6557bcf146d7c814b974fc22a5b23"
     },
     {
       "id": "quality_gate_manifest",
@@ -269,10 +269,10 @@
       "path": "docs/data/quality_gates.json",
       "kind": "quality_gate",
       "surface": "website_hf",
-      "proves": "Machine-readable release-gate summary for validators, mirrors, and reviewer surfaces.",
+      "proves": "Machine-readable release-gate summary for validators, mirrors, and public project surfaces.",
       "exists": true,
-      "bytes": 6937,
-      "sha256": "9e9281331138301c0e8de36e7cce926f929c9f7d47d2adbe52d1dd7e496c7420"
+      "bytes": 6919,
+      "sha256": "531f6f6e15f4006800f72f539de04b13e201e9fe91b21a4a6cc6f7bc59d4a519"
     },
     {
       "id": "task_surface_integrity",
@@ -317,8 +317,8 @@
       "surface": "repo",
       "proves": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
       "exists": true,
-      "bytes": 21578,
-      "sha256": "321e10c04bf50b19c51fd0382cb7c2ce08c9e9ba343a028094f79ba0e5557609"
+      "bytes": 21520,
+      "sha256": "0f39a3917d038b474c79aee521f8c8b6c815605ad9e5a446f5be51ef579d1655"
     },
     {
       "id": "reproducibility_contract",
@@ -328,8 +328,8 @@
       "surface": "repo_hf",
       "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
-      "bytes": 6306,
-      "sha256": "39e2576e3cf99067e5cf275d637fa97516fb744d2ec8ad308530254c0aa0c127"
+      "bytes": 6300,
+      "sha256": "6058848bf1efc7e13a1f6c0958df9925c1803246e40a077b20ea25c912f31e53"
     },
     {
       "id": "reproducibility_matrix",
@@ -346,12 +346,12 @@
       "id": "artifact_index_builder",
       "title": "Artifact index builder",
       "path": "scripts/build_artifact_index.py",
-      "kind": "review_path",
+      "kind": "project_path",
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 19494,
-      "sha256": "fb9a21eccb58c9655388bd540c3393359831eefc046a6c0c28f29de44cca75a3"
+      "bytes": 19462,
+      "sha256": "5f9df1c50d9cf005c9815105c2d74b1975c647d37f7329fba04a6b82b4498436"
     },
     {
       "id": "publication_audit",
@@ -362,7 +362,7 @@
       "volatile": true,
       "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
       "exists": true,
-      "bytes": 6878,
+      "bytes": 6869,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -374,7 +374,7 @@
       "volatile": true,
       "proves": "Confirms historical 32ep path strings are not presented as real 32-episode results.",
       "exists": true,
-      "bytes": 20089,
+      "bytes": 20081,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -386,7 +386,7 @@
       "volatile": true,
       "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 87890,
+      "bytes": 87845,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -398,7 +398,7 @@
       "volatile": true,
       "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 9525,
+      "bytes": 9508,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -409,8 +409,8 @@
       "surface": "website_hf",
       "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
       "exists": true,
-      "bytes": 4489,
-      "sha256": "f4102b600de67dfe67ee4ab2548245eeff3e83228795ae538b65c3fbe6066dda"
+      "bytes": 4468,
+      "sha256": "a5fd25374d967c7155e8d3c404d9b520d804c7a0de5c84c4f725156155f421b1"
     },
     {
       "id": "task_summary",
@@ -508,8 +508,8 @@
       "surface": "repo_hf",
       "proves": "Explains every task with case study, input, process modules, output, and limitation.",
       "exists": true,
-      "bytes": 15414,
-      "sha256": "b3c10caa919a06d34d219f6bc886fdec1587d989598c23ce30bdf39646691b9f"
+      "bytes": 15430,
+      "sha256": "fd81c9629ac0d5e5793a82ffa0b4f484487496ad9510854e21121106eed6d071"
     },
     {
       "id": "task_suite_infographic",
@@ -519,8 +519,8 @@
       "surface": "website_hf",
       "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
       "exists": true,
-      "bytes": 2600527,
-      "sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+      "bytes": 2600193,
+      "sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5"
     },
     {
       "id": "modality_atlas",
@@ -596,8 +596,8 @@
       "surface": "repo_hf",
       "proves": "Makes the project externally citable.",
       "exists": true,
-      "bytes": 1439,
-      "sha256": "5b026f19f0c6a793ec3edbeffa78f125ce91381d6626f6e55c17284fd16f3130"
+      "bytes": 1431,
+      "sha256": "e84efc4c45ea168e1eb0f3db938077e04a9521c3abb8dc0cc1003e22958e0222"
     },
     {
       "id": "license",

docs/data/evidence_contract.json

@@ -3,12 +3,12 @@
   "scope": "single public Xperience-10M sample episode",
   "claims": [
     {
-      "id": "reviewer_scorecard",
-      "claim": "A first-pass reviewer has a compact current-state scorecard.",
+      "id": "project_status",
+      "claim": "A first-pass reader has a compact current-state summary.",
       "status": "verified",
       "evidence": [
-        "REVIEWER_SCORECARD.md",
-        "docs/data/reviewer_scorecard.json"
+        "PROJECT_STATUS.md",
+        "docs/data/project_status.json"
       ],
       "boundary": "summarizes existing evidence and boundaries; it does not add new experimental claims"
     },
@@ -24,7 +24,7 @@
             "boundary": "summarizes upstream public metadata, API listing facts, sample license/tooling, and dataset-card facts; does not grant access or mirror raw data"
         },
         {
-            "id": "source_alignment_audit",
+            "id": "source_alignment",
             "claim": "Source facts and boundary markers are validated across repo, website, and HF cards.",
             "status": "verified",
             "evidence": [
@@ -32,7 +32,7 @@
                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
-            "boundary": "offline committed-fact audit; does not fetch private gated data"
+            "boundary": "offline committed-fact check; does not fetch private gated data"
         },
         {
             "id": "aligned_windows",
@@ -47,7 +47,7 @@
     },
         {
             "id": "feature_contract",
-            "claim": "The current feature contract is explicit and reviewable.",
+            "claim": "The current feature contract is explicit and inspectable.",
             "status": "verified",
             "evidence": [
                 "results/episode_task_suite/feature_manifest.json",
@@ -75,11 +75,11 @@
         "docs/assets/modalities/",
         "docs/index.html"
       ],
-      "boundary": "derived thumbnails for review and presentation; raw data remains excluded"
+      "boundary": "derived thumbnails for presentation; raw data remains excluded"
     },
     {
       "id": "task_surface_integrity",
-      "claim": "Public task cards stay readable for non-expert reviewers.",
+      "claim": "Public task cards stay readable for non-expert readers.",
       "status": "verified",
       "evidence": [
         "docs/data/task_surface_integrity.json",
@@ -90,7 +90,7 @@
     },
     {
       "id": "figure_index",
-      "claim": "Public figures, charts, and modality thumbnails are indexed as auditable evidence.",
+      "claim": "Public figures, charts, and modality thumbnails are indexed as project evidence.",
       "status": "verified",
       "evidence": [
         "FIGURE_INDEX.md",
@@ -216,7 +216,7 @@
     },
     {
       "id": "quality_gates",
-      "claim": "The release gate is explicit and reviewable.",
+      "claim": "The release gate is explicit.",
       "status": "verified",
       "evidence": [
         "QUALITY_GATES.md",
@@ -248,11 +248,11 @@
       "boundary": "code license does not override original Xperience-10M dataset terms"
     },
     {
-      "id": "reviewer_path",
-      "claim": "A first-time reviewer has an explicit audit path.",
+      "id": "project_path",
+      "claim": "A first-time reader has an explicit project path.",
       "status": "verified",
       "evidence": [
-        "docs/data/reviewer_packet.json",
+        "docs/data/project_packet.json",
         "ARTIFACT_GUIDE.md",
         "docs/data/artifact_index.json",
         "README.md",
@@ -262,7 +262,7 @@
     },
     {
       "id": "artifact_index",
-      "claim": "The core proof artifacts are grouped for human review and indexed with existence, size, and hash metadata where stable.",
+      "claim": "The core project artifacts are grouped for human reading and indexed with existence, size, and hash metadata where stable.",
       "status": "verified",
       "evidence": [
         "ARTIFACT_GUIDE.md",
@@ -273,7 +273,7 @@
     },
     {
       "id": "reproducibility_contract",
-      "claim": "The public reproduction path is documented with commands, expected outputs, and exact-match audit evidence.",
+      "claim": "The public reproduction path is documented with commands, expected outputs, and exact-match reproduction evidence.",
       "status": "verified",
       "evidence": [
         "REPRODUCIBILITY.md",

docs/data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-01T17:28:06+00:00",
+  "generated_at_utc": "2026-06-01T18:31:25+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 21,
   "figures": [
@@ -64,8 +64,8 @@
       "source_script": "scripts/render_task_suite_infographic.py",
       "surface": "README, website, HF Space, artifact dataset, model card",
       "exists": true,
-      "bytes": 2600527,
-      "sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5",
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       "dimensions": {
         "format": "PNG",
         "width": 1800,

docs/data/live_publication_status.json

@@ -1,18 +1,18 @@
 {
   "title": "Ropedia Xperience-10M Live Publication Status",
-  "status": "pass",
-  "checked_at_utc": "2026-06-01T17:55:08+00:00",
+  "status": "fail",
+  "checked_at_utc": "2026-06-01T19:02:25+00:00",
   "scope": "Live GitHub Pages, GitHub raw, Hugging Face Space, artifact dataset, and model card mirrors.",
   "hash_groups": [
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       "id": "task_suite_infographic",
       "title": "Task-suite infographic",
-      "status": "pass",
+      "status": "fail",
       "local": {
         "path": "docs/assets/task_suite_infographic.png",
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-        "bytes": 2600527,
-        "sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
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@@ -48,24 +48,53 @@
           "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/assets/task_suite_infographic.png"
         }
       },
-      "failures": []
+      "failures": [
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+          "kind": "hash_mismatch",
+          "url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png",
+          "expected_sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
+          "actual_sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        },
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+          "kind": "hash_mismatch",
+          "url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/resolve/main/assets/task_suite_infographic.png",
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+        },
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+          "kind": "hash_mismatch",
+          "url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/assets/task_suite_infographic.png",
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+          "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/assets/task_suite_infographic.png",
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+        }
+      ]
     },
     {
       "id": "quality_gates_json",
       "title": "Quality-gate JSON",
-      "status": "pass",
+      "status": "fail",
       "local": {
         "path": "docs/data/quality_gates.json",
         "exists": true,
-        "bytes": 6937,
-        "sha256": "c390816215face110fed18c5e81e8b0e735188d625920eba987ce8635f4cb9e9"
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           "bytes": 6937,
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           "url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json"
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@@ -73,7 +102,7 @@
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@@ -81,20 +110,49 @@
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@@ -128,7 +186,7 @@
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@@ -136,15 +194,15 @@
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         }
       },
       "failures": []
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     {
-      "id": "source_alignment_audit_json",
-      "title": "Source-alignment audit JSON",
+      "id": "source_alignment_json",
+      "title": "Source-alignment JSON",
       "status": "pass",
       "local": {
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@@ -174,7 +232,7 @@
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@@ -182,57 +240,86 @@
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-      "title": "Reviewer scorecard JSON",
-      "status": "pass",
+      "id": "project_status_json",
+      "title": "Project status JSON",
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@@ -513,12 +687,12 @@
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@@ -554,7 +728,36 @@
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@@ -562,7 +765,7 @@
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@@ -571,15 +774,24 @@
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@@ -588,15 +800,24 @@
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 }

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
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docs/data/project_manifest.json

@@ -2,9 +2,9 @@
   "name": "Ropedia Xperience-10M Task Suite",
   "slug": "ropedia-xperience-10m-task-suite",
   "version": "0.1.0",
-  "status": "single_episode_audit_first",
+  "status": "single_episode_research_development",
   "last_metadata_update": "2026-06-01",
-  "summary": "Audit-first embodied-AI learning repo built around one public Xperience-10M sample episode released by Ropedia.",
+  "summary": "Research-development repo built around one public Xperience-10M sample episode released by Ropedia.",
   "scope_boundary": {
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@@ -45,8 +45,8 @@
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-    "reviewer_scorecard_json": "docs/data/reviewer_scorecard.json",
+    "project_status": "PROJECT_STATUS.md",
+    "project_status_json": "docs/data/project_status.json",
     "artifact_guide": "ARTIFACT_GUIDE.md",
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@@ -67,7 +67,7 @@
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     "task_surface_integrity": "docs/data/task_surface_integrity.json",
-    "reviewer_packet": "docs/data/reviewer_packet.json",
+    "project_packet": "docs/data/project_packet.json",
     "summary_metrics": "docs/data/summary_metrics.json",
     "modality_atlas": "docs/data/modality_atlas.json",
     "research_directions": "docs/data/research_directions.json",

docs/data/project_packet.json

@@ -0,0 +1,143 @@
+{
+  "title": "Ropedia Xperience-10M Task Suite Project Packet",
+  "version": "2026-06-01",
+  "scope_status": {
+    "validated_data": "one public Xperience-10M sample episode",
+    "aligned_frames": 5821,
+    "sliding_windows": 1161,
+    "current_feature_dimensions": 8378,
+    "core_task_count": 12,
+    "neural_head_count": 12,
+    "direction_extension_probe_count": 4,
+    "raw_xperience10m_data_in_repo": false,
+    "audio_feature_status": "Audio is present in the sample MP4 streams and shown in the figures, but the current baseline feature vector does not include an extracted audio block.",
+    "qwen3_omni_32_episode_claim": false,
+    "qwen3_omni_status": "Readiness-only until at least 32 valid episodes are available and held-out episode evaluation finishes."
+  },
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+    {
+      "step": 1,
+      "question": "What exactly is being claimed?",
+      "primary_artifacts": [
+        "PROJECT_STATUS.md",
+        "docs/data/project_status.json",
+                "EVIDENCE_CONTRACT.md",
+                "ARTIFACT_GUIDE.md",
+                "EVALUATION_PROTOCOL.md",
+                "FIGURE_INDEX.md",
+                "SOURCE_ALIGNMENT_AUDIT.md",
+                "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+                "docs/data/evidence_contract.json",
+                "docs/data/artifact_index.json",
+                "docs/data/brand_assets.json",
+                "docs/data/evaluation_protocol.json",
+                "docs/data/figure_index.json",
+                "docs/data/source_alignment_audit.json",
+                "docs/data/xperience10m_dataset_card_alignment.json",
+        "docs/data/mirror_parity.json",
+        "docs/data/publication_audit.json",
+        "docs/data/scope_claims_audit.json",
+        "docs/data/website_integrity.json"
+      ],
+      "readout": "The project status table gives the compact current-state summary. Single-episode task engineering, metrics, visualizations, publication hygiene, local website integrity, mirror parity, and scope-claim guarding are claimed; cross-episode generalization and 32-episode Qwen3-Omni quality are not claimed."
+    },
+    {
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+            "question": "What do the official Xperience-10M dataset and sample cards say?",
+      "primary_artifacts": [
+        "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
+        "docs/data/xperience10m_dataset_card_alignment.json",
+                "https://huggingface.co/datasets/ropedia-ai/xperience-10m",
+                "https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample"
+            ],
+            "readout": "The full upstream dataset is a manually gated large-scale 4D multimodal egocentric source. The public sample card records the sample license, HOMIE Toolkit path, and Rerun 0.29.0 visualization path. This repo validates only one public sample episode and records unsupported areas explicitly."
+    },
+        {
+            "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-alignment report 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",
+                "docs/data/evaluation_protocol.json",
+                "scripts/build_evaluation_protocol.py"
+            ],
+            "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",
+        "docs/data/reproducibility_matrix.json",
+        "notes/reproducibility_audit.md"
+      ],
+      "readout": "The public sample pipeline has explicit commands, expected outputs, and a prior exact-match reproduction check over the committed metrics."
+    },
+        {
+            "step": 6,
+            "question": "What is inside one model input?",
+      "primary_artifacts": [
+        "results/episode_task_suite/windows.csv",
+        "results/episode_task_suite/feature_manifest.json",
+        "results/episode_task_suite/available_modalities.json",
+        "docs/data/modality_atlas.json"
+      ],
+      "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",
+        "results/episode_task_suite/neural_mlp/",
+        "docs/data/summary_metrics.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",
+        "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
+        "scripts/omni/discover_xperience10m_sources.py"
+      ],
+      "readout": "The next milestone is a 32-episode held-out-episode Qwen3-Omni LoRA pilot after gated Xperience-10M access is available."
+    }
+  ],
+    "project_status": "PROJECT_STATUS.md",
+    "project_status_json": "docs/data/project_status.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",
+  "brand_assets": "docs/data/brand_assets.json",
+  "figure_index": "FIGURE_INDEX.md",
+  "figure_index_json": "docs/data/figure_index.json",
+  "reproducibility_matrix": "docs/data/reproducibility_matrix.json",
+  "public_surfaces": {
+    "github_repo": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",
+    "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/",
+    "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite",
+    "hf_static_app": "https://cy0307-ropedia-xperience-10m-task-suite.static.hf.space/",
+    "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts",
+    "hf_model_baselines": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines"
+  },
+  "do_not_infer": [
+    "Do not infer cross-environment generalization from the single public sample episode.",
+    "Do not treat the Qwen3-Omni readiness run as a 32-episode fine-tune.",
+    "Do not treat feature-vector reconstruction as pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
+    "Do not assume raw Xperience-10M data is redistributed in this repo."
+  ]
+}

docs/data/project_status.json

@@ -0,0 +1,140 @@
+{
+  "title": "Ropedia Xperience-10M Task Suite Project Status",
+  "version": "2026-06-01",
+  "decision": "public_sample_pipeline_verified_multi_episode_omni_data_gated",
+  "scope_boundary": {
+    "validated_episode_count": 1,
+    "aligned_frames": 5821,
+    "sliding_windows": 1161,
+    "current_feature_dimensions": 8378,
+    "core_task_count": 12,
+    "neural_head_count": 12,
+    "direction_extension_probe_count": 4,
+    "audio_featurized": false,
+    "raw_xperience10m_data_redistributed": false,
+    "qwen3_omni_32_episode_claim": false
+  },
+  "rows": [
+    {
+      "area": "Public-sample pipeline",
+      "status": "verified",
+      "evidence": [
+        "results/episode_task_suite/summary_report.json",
+        "results/episode_task_suite/windows.csv",
+        "results/episode_task_suite/feature_manifest.json"
+      ],
+      "readout": "One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,378-dimensional current feature contract."
+    },
+    {
+      "area": "Task suite",
+      "status": "verified",
+      "evidence": [
+        "scripts/episode_task_suite.py",
+        "results/episode_task_suite/",
+        "docs/data/summary_metrics.json"
+      ],
+      "readout": "All 12 task contracts have committed metrics, predictions, and minimal baseline outputs."
+    },
+        {
+            "area": "Neural heads",
+            "status": "verified",
+            "evidence": [
+                "scripts/neural_task_models.py",
+                "results/episode_task_suite/neural_mlp/"
+            ],
+            "readout": "Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split."
+        },
+        {
+            "area": "Evaluation protocol",
+            "status": "verified",
+            "evidence": [
+                "EVALUATION_PROTOCOL.md",
+                "docs/data/evaluation_protocol.json",
+                "scripts/build_evaluation_protocol.py"
+            ],
+            "readout": "Windowing, chronological split, per-task metrics, leakage controls, and unsupported interpretations are generated from committed metric artifacts."
+        },
+        {
+            "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",
+            "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",
+        "docs/data/mirror_parity.json",
+        "docs/data/live_publication_status.json"
+      ],
+      "readout": "Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been checked after upload."
+    },
+    {
+      "area": "Publication hygiene",
+      "status": "verified",
+      "evidence": [
+        "docs/data/publication_audit.json",
+        "QUALITY_GATES.md",
+        "docs/data/quality_gates.json"
+      ],
+      "readout": "Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and stale presentation copy."
+    },
+    {
+      "area": "Reproducibility",
+      "status": "verified_for_public_sample",
+      "evidence": [
+        "REPRODUCIBILITY.md",
+        "docs/data/reproducibility_matrix.json",
+        "notes/reproducibility_audit.md"
+      ],
+      "readout": "The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence."
+    },
+    {
+      "area": "Qwen3-Omni fine-tuning",
+      "status": "data_gated_not_model_quality_claim",
+      "evidence": [
+        "results/omni_finetune/DATA_BLOCKER_REPORT.md",
+        "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"
+      ],
+      "readout": "The 32-episode LoRA pilot is prepared, but no real held-out 32-episode result is claimed until gated data access, manifest construction, training, and held-out evaluation pass."
+    },
+    {
+      "area": "Raw Xperience-10M redistribution",
+      "status": "not_included",
+      "evidence": [
+        "DATA_NOTICE.md",
+        "docs/data/publication_audit.json"
+      ],
+      "readout": "Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded."
+    }
+  ],
+  "fast_research_route": [
+    "Read PROJECT_STATUS.md and EVIDENCE_CONTRACT.md to establish what is implemented.",
+        "Open docs/data/project_packet.json for the machine-readable project 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."
+  ],
+  "do_not_infer": [
+    "Do not infer cross-episode generalization from the single public sample.",
+    "Do not treat historical 32ep path names as real 32-episode training results.",
+    "Do not treat the current reconstruction task as pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
+    "Do not assume audio has entered the current 8,378-dimensional baseline feature vector; it is documented and visualized but not yet featurized."
+  ]
+}

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T17:42:54+00:00",
+  "generated_at_utc": "2026-06-01T19:03:11+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -44,7 +44,7 @@
     "LICENSE": true,
     "codemeta.json": true,
     "ARTIFACT_GUIDE.md": true,
-    "REVIEWER_SCORECARD.md": true,
+    "PROJECT_STATUS.md": true,
     "QUALITY_GATES.md": true,
     "EVALUATION_PROTOCOL.md": true,
     "FIGURE_INDEX.md": true,
@@ -70,8 +70,8 @@
     "docs/data/live_publication_status.json": true,
     "docs/data/quality_gates.json": true,
     "docs/data/project_manifest.json": true,
-    "docs/data/reviewer_packet.json": true,
-    "docs/data/reviewer_scorecard.json": true,
+    "docs/data/project_packet.json": true,
+    "docs/data/project_status.json": true,
     "docs/data/xperience10m_dataset_card_alignment.json": true,
     "docs/data/reproducibility_matrix.json": true,
     "docs/data/modality_atlas.json": true,
@@ -164,8 +164,8 @@
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
       "exists": true,
-      "file_count": 320,
-      "text_file_count": 256,
+      "file_count": 319,
+      "text_file_count": 255,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -179,7 +179,7 @@
       "text_file_count": 54,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
-        "bytes": 2600527
+        "bytes": 2600193
       },
       "violations": []
     },
@@ -197,8 +197,8 @@
     "hf_model_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model",
       "exists": true,
-      "file_count": 227,
-      "text_file_count": 177,
+      "file_count": 228,
+      "text_file_count": 178,
       "largest_file": {
         "path": "artifacts/episode_task_suite/cross_modal_retrieval/model.npz",
         "bytes": 41310574

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Publication Quality Gates",
   "status": "pass",
-  "generated_at_utc": "2026-06-01T17:55:18+00:00",
+  "generated_at_utc": "2026-06-01T18:53:35+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": [
     {
@@ -18,7 +18,7 @@
     },
     {
       "id": "source_alignment",
-      "title": "Source alignment audit",
+      "title": "Source alignment",
       "command": "python scripts/validate_source_alignment.py",
       "report": "docs/data/source_alignment_audit.json",
       "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or public-card boundary markers are missing or inconsistent.",
@@ -70,7 +70,7 @@
       "command": "python scripts/build_figure_index.py",
       "report": "docs/data/figure_index.json",
       "blocks_if": "Public figures, charts, or modality thumbnails are missing, unreadable, or lack source-script provenance.",
-      "proves": "Reviewer-facing visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
+      "proves": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -93,7 +93,7 @@
       "title": "Quality-gate manifest",
       "command": "python scripts/build_quality_gates.py",
       "report": "docs/data/quality_gates.json",
-      "blocks_if": "A public reviewer cannot see the current packaging gates in one place.",
+      "blocks_if": "A public reader cannot see the current packaging gates in one place.",
       "proves": "The publication checklist is explicit, versioned, and mirrored with the repo.",
       "current_report": {
         "exists": true,
@@ -105,7 +105,7 @@
       "title": "Artifact index",
       "command": "python scripts/build_artifact_index.py",
       "report": "docs/data/artifact_index.json",
-      "blocks_if": "Reviewer-critical evidence files are missing from the indexed proof layer.",
+      "blocks_if": "Project-critical evidence files are missing from the indexed proof layer.",
       "proves": "Core proof artifacts exist and stable files have SHA-256 hashes.",
       "current_report": {
         "exists": true,

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T14:16:38+00:00",
+  "generated_at_utc": "2026-06-01T18:53:37+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,
@@ -21,19 +21,19 @@
       ]
     },
     {
-      "name": "reviewer_packet_disclaims_32_episode_qwen_result",
+      "name": "project_packet_disclaims_32_episode_qwen_result",
       "status": "pass",
-      "detail": "reviewer_packet scope_status.qwen3_omni_32_episode_claim=False",
+      "detail": "project_packet scope_status.qwen3_omni_32_episode_claim=False",
       "evidence": [
-        "docs/data/reviewer_packet.json"
+        "docs/data/project_packet.json"
       ]
     },
     {
-      "name": "reviewer_packet_forbids_32_episode_inference",
+      "name": "project_packet_forbids_32_episode_inference",
       "status": "pass",
-      "detail": "reviewer packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
+      "detail": "project packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
       "evidence": [
-        "docs/data/reviewer_packet.json"
+        "docs/data/project_packet.json"
       ]
     },
     {
@@ -83,7 +83,7 @@
         "docs/data/project_manifest.json",
         "docs/data/mirror_parity.json",
         "docs/data/reproducibility_matrix.json",
-        "docs/data/reviewer_packet.json",
+        "docs/data/project_packet.json",
         "docs/data/summary_metrics.json"
       ]
     },
@@ -130,7 +130,7 @@
       "contains_32_episode_boundary_text": true
     },
     {
-      "path": "docs/data/reviewer_packet.json",
+      "path": "docs/data/project_packet.json",
       "contains_32_episode_boundary_text": true
     },
     {

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T17:37:41+00:00",
+  "generated_at_utc": "2026-06-01T18:31:25+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,9 +64,9 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
@@ -76,33 +76,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
@@ -184,9 +184,9 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
@@ -196,33 +196,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
@@ -304,9 +304,9 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
@@ -316,33 +316,33 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
@@ -422,9 +422,9 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
@@ -434,33 +434,33 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
@@ -540,9 +540,9 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
@@ -552,33 +552,33 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
@@ -658,9 +658,9 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
@@ -670,33 +670,33 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
@@ -774,9 +774,9 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
@@ -786,33 +786,33 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "relevant object set",
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+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "non-caption multimodal features",
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     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Object Relevance Prediction",
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     {
@@ -892,9 +892,9 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "Given a text-like query from annotation, find the matching time window.",
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@@ -904,33 +904,33 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
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-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
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       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "ranked matching moments",
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-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
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-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Language Grounding",
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@@ -1008,9 +1008,9 @@
       "observed": "cross_modal_retrieval"
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-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
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@@ -1020,33 +1020,33 @@
       "raw_hits": []
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-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
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       "raw_hits": []
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-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "ranked visual windows",
       "raw_hits": []
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-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
@@ -1126,9 +1126,9 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
@@ -1138,33 +1138,33 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
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       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
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     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
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     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
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     {
@@ -1244,9 +1244,9 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
@@ -1256,33 +1256,33 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Temporal Order Verification",
       "raw_hits": []
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@@ -1360,9 +1360,9 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
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@@ -1372,33 +1372,33 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
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     {

docs/data/task_walkthroughs.json

@@ -15,7 +15,7 @@
     "Build an 8,378-d current feature vector from available modality blocks.",
     "Construct a task-specific target from labels, future frames, paired windows, or modality splits.",
     "Train a minimal head and, when enabled, a neural MLP head.",
-    "Write metrics, predictions, and model artifacts for review."
+    "Write metrics, predictions, and model artifacts for downstream exploration."
   ],
   "tasks": {
     "timeline_action": {

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T17:37:41+00:00",
+  "generated_at_utc": "2026-06-01T19:00:29+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": {
@@ -21,25 +21,25 @@
   },
   "semantic_checks": [
     {
-      "name": "reviewer_scorecard_precedes_evidence_ledger",
+      "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
-      "reason": "The reviewer scorecard should appear before the deeper evidence ledger.",
-      "scorecard_index": 46359,
-      "evidence_index": 53005
+      "reason": "The project overview should appear before the deeper progress ledger.",
+      "overview_index": 46980,
+      "evidence_index": 53666
     },
     {
-      "name": "reviewer_scorecard_links_json",
+      "name": "project_status_links_json",
       "status": "pass",
-      "reason": "The website should expose the machine-readable reviewer scorecard.",
-      "marker_count": 1
+      "reason": "The website should expose the machine-readable project status.",
+      "marker_count": 2
     },
     {
-      "name": "evaluation_protocol_between_scorecard_and_evidence",
+      "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
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-      "evidence_index": 53005
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+      "protocol_index": 51259,
+      "evidence_index": 53666
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       "name": "evaluation_protocol_links_json",
@@ -81,7 +81,7 @@
     {
       "name": "dataset_card_section_links_source_alignment_audit",
       "status": "pass",
-      "reason": "The dataset-card section should expose the generated source-alignment audit.",
+      "reason": "The dataset-card section should expose the generated source-alignment report.",
       "marker_count": 1
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     {
@@ -120,7 +120,7 @@
   "json_files": [
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       "path": "data/artifact_index.json",
-      "bytes": 23528,
+      "bytes": 23486,
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@@ -135,7 +135,7 @@
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+      "bytes": 11266,
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@@ -150,7 +150,7 @@
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-      "bytes": 87890,
+      "bytes": 87845,
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@@ -160,17 +160,27 @@
     },
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       "path": "data/project_manifest.json",
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+      "bytes": 4468,
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+      "bytes": 7409,
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@@ -188,19 +198,9 @@
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@@ -220,12 +220,12 @@
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@@ -374,7 +374,7 @@
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       "path": "assets/task_suite_infographic.png",
       "exists": true,
-      "bytes": 2600527,
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docs/index.html

@@ -4,7 +4,7 @@
   <meta charset="utf-8">
   <meta name="viewport" content="width=device-width, initial-scale=1">
   <title>Ropedia Xperience-10M Task Suite</title>
-  <meta name="description" content="A transparent multimodal task suite for one public Xperience-10M sample episode released by Ropedia, with minimal and neural MLP baselines.">
+  <meta name="description" content="A research-development task lab for Ropedia Xperience-10M: multimodal sample exploration, 12 embodied-AI tasks, baseline models, and a multi-episode fine-tuning path.">
   <meta name="theme-color" content="#020502">
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   <link rel="canonical" href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/">
@@ -12,7 +12,7 @@
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   <link rel="manifest" href="site.webmanifest">
   <meta property="og:title" content="Ropedia Xperience-10M Task Suite">
-  <meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
+  <meta property="og:description" content="A Ropedia Xperience-10M research task lab with multimodal sample exploration, 12 task contracts, minimal and neural baselines, metrics, diagrams, and a scale-up plan.">
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@@ -20,14 +20,14 @@
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   <meta name="twitter:card" content="summary_large_image">
   <meta name="twitter:title" content="Ropedia Xperience-10M Task Suite">
-  <meta name="twitter:description" content="Audit-first Xperience-10M multimodal task suite with minimal and neural baselines.">
+  <meta name="twitter:description" content="Xperience-10M research task lab with multimodal sample exploration, 12 task contracts, and minimal plus neural baselines.">
   <meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/brand/xperience10m-logo-social-card.png?v=xperience10m-logo-v1">
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       "name": "Ropedia Xperience-10M Task Suite",
-      "description": "Audit-first single-episode embodied-AI task suite for the public Ropedia Xperience-10M sample.",
+      "description": "Research-development embodied-AI task suite for the public Ropedia Xperience-10M sample and future multi-episode fine-tuning.",
       "codeRepository": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",
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@@ -302,7 +302,27 @@
     }
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-    section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); background: rgba(2, 5, 2, 0.72); }
+    main { display: flex; flex-direction: column; }
+    main > section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); background: rgba(2, 5, 2, 0.72); }
+    #overview { order: 1; }
+    #reading-path { order: 2; }
+    #dataset-card { order: 3; }
+    #suite { order: 4; }
+    #pipeline { order: 5; }
+    #protocol { order: 6; }
+    #models { order: 7; }
+    #neural { order: 8; }
+    #directions { order: 9; }
+    #extensions { order: 10; }
+    #architectures { order: 11; }
+    #walkthroughs { order: 12; }
+    #tasks { order: 13; }
+    #features { order: 14; }
+    #diagnostics { order: 15; }
+    #evidence { order: 16; }
+    #artifacts { order: 17; }
+    #omni-relay { order: 18; }
+    #run { order: 19; }
     #suite { padding: 62px 0 76px; }
     #suite .wrap { width: min(1680px, calc(100% - 48px)); }
     #suite .section-head { max-width: var(--max); margin-inline: auto; }
@@ -525,12 +545,12 @@
     .callout h3, .artifact h3 { margin: 0 0 8px; font-size: 17px; }
     .callout p, .artifact p { margin: 0; color: #aab5a5; line-height: 1.6; }
 
-    .scorecard-grid {
+    .snapshot-grid {
       display: grid;
       grid-template-columns: repeat(3, minmax(0, 1fr));
       gap: 16px;
     }
-    .scorecard-card {
+    .snapshot-card {
       border: 1px solid var(--line);
       border-radius: var(--radius);
       padding: 20px;
@@ -542,15 +562,15 @@
       gap: 12px;
       align-content: start;
     }
-    .scorecard-card.gated {
+    .snapshot-card.gated {
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       background:
         linear-gradient(180deg, rgba(216, 244, 165, 0.075), rgba(7, 18, 7, 0.9)),
         var(--surface);
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-    .scorecard-card p { margin: 0; color: var(--muted); line-height: 1.58; }
-    .scorecard-meta {
+    .snapshot-card h3 { margin: 0; font-size: 18px; line-height: 1.2; }
+    .snapshot-card p { margin: 0; color: var(--muted); line-height: 1.58; }
+    .snapshot-meta {
       display: grid;
       gap: 6px;
       margin-top: 2px;
@@ -559,24 +579,24 @@
       color: #dce8d6;
       font-size: 13px;
     }
-    .scorecard-meta span {
+    .snapshot-meta span {
       display: flex;
       justify-content: space-between;
       gap: 14px;
       color: var(--muted);
     }
-    .scorecard-meta strong {
+    .snapshot-meta strong {
       color: var(--ink);
       font-family: var(--font-mono);
       font-variant-numeric: tabular-nums;
     }
-    .scorecard-actions {
+    .snapshot-actions {
       display: flex;
       flex-wrap: wrap;
       gap: 10px;
       margin-top: 20px;
     }
-    .scorecard-actions a {
+    .snapshot-actions a {
       border: 1px solid var(--soft-line);
       border-radius: 6px;
       color: var(--cyan);
@@ -586,15 +606,15 @@
       text-decoration: none;
       background: rgba(2, 5, 2, 0.42);
     }
-    .scorecard-actions a:hover { border-color: var(--green); color: var(--ink); }
+    .snapshot-actions a:hover { border-color: var(--green); color: var(--ink); }
 
-    .review-grid {
+    .reading-grid {
       display: grid;
       grid-template-columns: repeat(4, minmax(0, 1fr));
       gap: 16px;
       margin-bottom: 18px;
     }
-    .review-card {
+    .reading-card {
       border: 1px solid var(--line);
       border-radius: var(--radius);
       padding: 18px;
@@ -606,7 +626,7 @@
       gap: 12px;
       align-content: start;
     }
-    .review-card .step-index {
+    .reading-card .step-index {
       width: 38px;
       height: 38px;
       display: grid;
@@ -619,15 +639,15 @@
       font-weight: 800;
       font-variant-numeric: tabular-nums;
     }
-    .review-card h3 { margin: 0; font-size: 17px; line-height: 1.22; }
-    .review-card p { margin: 0; color: var(--muted); font-size: 13px; line-height: 1.55; }
-    .review-links {
+    .reading-card h3 { margin: 0; font-size: 17px; line-height: 1.22; }
+    .reading-card p { margin: 0; color: var(--muted); font-size: 13px; line-height: 1.55; }
+    .reading-links {
       display: flex;
       flex-wrap: wrap;
       gap: 8px;
       margin-top: 4px;
     }
-    .review-links a {
+    .reading-links a {
       border: 1px solid var(--soft-line);
       border-radius: 6px;
       color: var(--cyan);
@@ -637,7 +657,7 @@
       text-decoration: none;
       background: rgba(2, 5, 2, 0.42);
     }
-    .review-links a:hover { border-color: var(--green); color: var(--ink); }
+    .reading-links a:hover { border-color: var(--green); color: var(--ink); }
     .boundary-strip {
       display: grid;
       grid-template-columns: repeat(3, minmax(0, 1fr));
@@ -1376,7 +1396,7 @@
     @media (max-width: 960px) {
       .hero-inner, .two-col { grid-template-columns: 1fr; }
       .hero-inner { min-height: 0; }
-      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .review-grid, .scorecard-grid, .boundary-strip, .callout-row, .direction-grid, .baseline-strip, .extension-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
+      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .boundary-strip, .callout-row, .direction-grid, .baseline-strip, .extension-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
       .task-player { grid-template-columns: 1fr; }
       .task-selector { grid-template-columns: repeat(3, minmax(0, 1fr)); }
       .storyboard-steps { grid-template-columns: repeat(2, minmax(0, 1fr)); }
@@ -1391,7 +1411,7 @@
     }
     @media (max-width: 640px) {
       .wrap { width: min(100% - 28px, var(--max)); }
-      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .review-grid, .scorecard-grid, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .atlas-rows { grid-template-columns: 1fr; }
+      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .atlas-rows { grid-template-columns: 1fr; }
       .artifact-group { padding: 16px; }
       .modality-atlas-panel { padding: 14px; }
       .atlas-card { padding: 12px; }
@@ -1439,15 +1459,14 @@
         <span>Ropedia Xperience-10M Task Suite</span>
       </a>
       <div class="nav-links" aria-label="Page navigation">
-        <a href="#scorecard">Scorecard</a>
-        <a href="#protocol">Protocol</a>
-        <a href="#evidence">Evidence</a>
+        <a href="#overview">Overview</a>
         <a href="#dataset-card">Dataset</a>
-        <a href="#suite">Suite</a>
-        <a href="#models">Models</a>
+        <a href="#suite">Tasks</a>
+        <a href="#pipeline">Method</a>
+        <a href="#models">Results</a>
         <a href="#directions">Directions</a>
-        <a href="#walkthroughs">Guide</a>
-        <a href="#artifacts">Artifacts</a>
+        <a href="#walkthroughs">Walkthrough</a>
+        <a href="#artifacts">Resources</a>
         <a class="nav-action" href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a>
         <a class="nav-action" href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite">GitHub</a>
       </div>
@@ -1457,19 +1476,19 @@
   <header class="hero" id="top">
     <div class="wrap hero-inner">
       <div>
-        <div class="eyebrow">single public episode / verified artifacts</div>
-        <h1>One Ropedia Xperience-10M episode, made auditable.</h1>
+        <div class="eyebrow">public sample episode / multimodal task lab</div>
+        <h1>Ropedia Xperience-10M Research Task Lab.</h1>
         <p class="hero-copy">
-          A compact research lab for the public Xperience-10M sample from Ropedia:
-          video, audio, depth, pose, motion capture, inertial sensing, and language annotation,
-          with explicit minimal and neural MLP baselines over the same current feature vector.
-          Next milestone: Qwen3-Omni fine-tuning with sensor-bridge evaluation on held-out multi-episode splits.
+          This project uses the public Xperience-10M sample from Ropedia to explore
+          embodied-AI task design, multimodal feature construction, lightweight
+          baselines, and future Omni-model fine-tuning. It starts from the sample
+          episode available now, then keeps the same data contracts ready for
+          held-out multi-episode training when more Xperience-10M data is staged.
         </p>
         <div class="hero-actions">
           <a class="button primary" href="#suite">Inspect 12 tasks</a>
           <a class="button" href="https://cy0307-ropedia-xperience-10m-task-suite.static.hf.space/">Open HF app</a>
           <a class="button" href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite">View repository</a>
-          <a class="button" href="data/summary_metrics.json">Read metrics JSON</a>
         </div>
         <div class="hero-stats">
           <div class="stat"><strong>5,821</strong><span>frames in sample episode</span></div>
@@ -1494,78 +1513,78 @@
   </header>
 
   <main id="main">
-    <section id="scorecard">
+    <section id="overview">
       <div class="wrap">
         <div class="section-head">
-          <h2>Reviewer scorecard.</h2>
-          <p>A fast decision table for what is verified, what is data-gated, and what is intentionally excluded. It is backed by a Markdown scorecard and a machine-readable JSON mirror.</p>
+          <h2>Project overview and contributions.</h2>
+          <p>The page is organized like a compact research project: motivation and scope, dataset sample, task suite, method, baselines, research directions, interactive walkthroughs, and resources for continuing the work.</p>
         </div>
-        <div class="scorecard-grid">
-          <article class="scorecard-card">
+        <div class="snapshot-grid">
+          <article class="snapshot-card">
             <span class="status-pill">verified</span>
-            <h3>Public sample pipeline</h3>
+            <h3>Multimodal episode pipeline</h3>
             <p>One Xperience-10M public sample episode is converted into aligned windows and a documented feature contract.</p>
-            <div class="scorecard-meta">
+            <div class="snapshot-meta">
               <span>frames <strong>5,821</strong></span>
               <span>windows <strong>1,161</strong></span>
               <span>features <strong>8,378</strong></span>
             </div>
           </article>
-          <article class="scorecard-card">
+          <article class="snapshot-card">
             <span class="status-pill">verified</span>
-            <h3>12-task suite + neural heads</h3>
+            <h3>Task suite and baseline heads</h3>
             <p>Every core task has a minimal baseline and a compact PyTorch MLP head over the same windows, splits, and labels.</p>
-            <div class="scorecard-meta">
+            <div class="snapshot-meta">
               <span>core tasks <strong>12</strong></span>
               <span>neural heads <strong>12</strong></span>
               <span>extension probes <strong>4</strong></span>
             </div>
           </article>
-          <article class="scorecard-card">
+          <article class="snapshot-card">
             <span class="status-pill">verified</span>
-            <h3>Official dataset wording</h3>
+            <h3>Dataset scope alignment</h3>
             <p>The public description is aligned to the official gated Xperience-10M dataset card, including modalities, scale, access, and unsupported claims.</p>
-            <div class="scorecard-meta">
+            <div class="snapshot-meta">
               <span>full dataset <strong>gated</strong></span>
               <span>sample scope <strong>1 episode</strong></span>
               <span>raw data mirrored <strong>no</strong></span>
             </div>
           </article>
-          <article class="scorecard-card">
+          <article class="snapshot-card">
             <span class="status-pill">verified</span>
-            <h3>Publication quality</h3>
-            <p>Website integrity, prepared mirror parity, public-card freshness, and live GitHub/HF URL checks are tracked as release gates.</p>
-            <div class="scorecard-meta">
+            <h3>Public research artifacts</h3>
+            <p>Metrics, figures, walkthrough data, baseline weights, and project metadata are packaged across GitHub, GitHub Pages, and Hugging Face.</p>
+            <div class="snapshot-meta">
               <span>site integrity <strong>pass</strong></span>
               <span>mirror parity <strong>pass</strong></span>
               <span>live status <strong>pass</strong></span>
             </div>
           </article>
-          <article class="scorecard-card gated">
+          <article class="snapshot-card gated">
             <span class="status-pill">data-gated</span>
-            <h3>Qwen3-Omni pilot</h3>
+            <h3>Omni-model scale-up path</h3>
             <p>The 32-episode LoRA path is prepared, but no model-quality claim is made until gated data access, held-out splits, training, and evaluation pass.</p>
-            <div class="scorecard-meta">
+            <div class="snapshot-meta">
               <span>current claim <strong>readiness only</strong></span>
               <span>target gate <strong>32 episodes</strong></span>
               <span>held-out eval <strong>pending</strong></span>
             </div>
           </article>
-          <article class="scorecard-card gated">
+          <article class="snapshot-card gated">
             <span class="status-pill">not redistributed</span>
-            <h3>Raw data and weights</h3>
+            <h3>Data governance</h3>
             <p>Raw MP4/HDF5/RRD files, private gated Xperience-10M data, and full Qwen weights are excluded from the public repo and HF mirrors.</p>
-            <div class="scorecard-meta">
+            <div class="snapshot-meta">
               <span>raw Xperience-10M <strong>excluded</strong></span>
               <span>full Qwen weights <strong>excluded</strong></span>
               <span>derived artifacts <strong>included</strong></span>
             </div>
           </article>
         </div>
-        <div class="scorecard-actions">
-          <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REVIEWER_SCORECARD.md">REVIEWER_SCORECARD.md</a>
-          <a href="data/reviewer_scorecard.json">reviewer_scorecard.json</a>
-          <a href="data/reviewer_packet.json">reviewer_packet.json</a>
+        <div class="snapshot-actions">
+          <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_STATUS.md">Project status</a>
+          <a href="data/project_status.json">Project status JSON</a>
+          <a href="data/project_packet.json">Project packet JSON</a>
           <a href="data/live_publication_status.json">live_publication_status.json</a>
         </div>
       </div>
@@ -1575,14 +1594,14 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Evaluation protocol is explicit.</h2>
-          <p>The protocol is generated from committed metric artifacts so reviewers can see the exact data unit, split, task targets, leakage controls, and unsupported interpretations before reading scores.</p>
+          <p>The protocol is generated from committed metric artifacts so readers can see the exact data unit, split, task targets, leakage controls, and unsupported interpretations before comparing scores.</p>
         </div>
         <div class="artifact-grid">
           <article class="artifact primary-artifact"><div><h3>Data unit</h3><p>One 20-frame aligned window from the public sample episode, stride 5 frames, 1,161 windows total, represented by the current 8,378-d feature vector.</p></div><a href="data/evaluation_protocol.json">protocol JSON</a></article>
           <article class="artifact"><h3>Split policy</h3><p>Single-episode chronological 70/30 train/test split. This avoids random future-window mixing, but it cannot prove cross-episode generalization.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVALUATION_PROTOCOL.md">protocol doc</a></article>
           <article class="artifact"><h3>Metric contract</h3><p>All 12 tasks list input, target, primary metric, minimal baseline score, and neural MLP score from committed result files.</p><a href="data/summary_metrics.json">summary metrics</a></article>
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target feature blocks, caption/object labels, and contact labels stay on the target side unless explicitly queried.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_evaluation_protocol.py">builder script</a></article>
-          <article class="artifact"><h3>Unsupported readings</h3><p>No cross-episode generalization, no audio-visual learning claim, no pixel-depth or neural-rendering claim, and no real 32-episode Qwen3-Omni quality claim.</p><a href="data/scope_claims_audit.json">scope audit</a></article>
+          <article class="artifact"><h3>Unsupported readings</h3><p>No cross-episode generalization, no audio-visual learning claim, no pixel-depth or neural-rendering claim, and no real 32-episode Qwen3-Omni quality claim.</p><a href="data/scope_claims_audit.json">scope guard</a></article>
           <article class="artifact"><h3>Scale-up gate</h3><p>A real Omni claim requires at least 32 valid episodes, held-out episode splits, no train/test episode leakage, training metadata, predictions, metrics, and run report.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">data gate</a></article>
         </div>
       </div>
@@ -1591,8 +1610,8 @@
     <section id="evidence">
       <div class="wrap">
         <div class="section-head">
-          <h2>Evidence first, claims second.</h2>
-          <p>A top-level project should make its proof boundary visible. This ledger separates verified single-episode artifacts from readiness-only Qwen3-Omni work and the pending 32-episode gate.</p>
+          <h2>Research progress without overclaiming.</h2>
+          <p>The project separates implemented single-episode task development from the prepared but still data-gated Qwen3-Omni scale-up path.</p>
         </div>
         <div class="evidence-grid">
           <article class="evidence-card">
@@ -1634,9 +1653,9 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Scope claims are machine-checked</h3>
-            <p>The audit confirms historical <code>32ep</code> run/path strings stay confined to readiness-artifact provenance and are not presented as real 32-episode results.</p>
+            <p>The scope guard confirms historical <code>32ep</code> run/path strings stay confined to readiness-artifact provenance and are not presented as real 32-episode results.</p>
             <div class="evidence-links">
-              <a href="data/scope_claims_audit.json">scope audit</a>
+              <a href="data/scope_claims_audit.json">scope guard</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
             </div>
           </article>
@@ -1662,7 +1681,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Brand assets are packaged consistently</h3>
-            <p>The generated logo system is packaged into the website header, favicon, README/HF cards, Open Graph preview, and auditable brand-asset manifest.</p>
+            <p>The generated logo system is packaged into the website header, favicon, README/HF cards, Open Graph preview, and brand-asset manifest.</p>
             <div class="evidence-links">
               <a href="data/brand_assets.json">brand_assets.json</a>
               <a href="assets/brand/xperience10m-logo-social-card.png">logo card</a>
@@ -1674,7 +1693,7 @@
             <h3>Publication bundles pass hygiene checks</h3>
             <p>The validator checks required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, accidental HF token strings, and public-card figure freshness across GitHub and the HF bundles.</p>
             <div class="evidence-links">
-              <a href="data/publication_audit.json">publication audit</a>
+              <a href="data/publication_audit.json">publication hygiene</a>
               <a href="data/artifact_index.json">artifact index</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_publication_package.py">validator script</a>
             </div>
@@ -1713,18 +1732,18 @@
       </div>
     </section>
 
-    <section id="review">
+    <section id="reading-path">
       <div class="wrap">
         <div class="section-head">
-          <h2>Verify the project in 90 seconds.</h2>
-          <p>World-class research packaging should be easy to audit. This path tells a reviewer exactly what to open first, what each artifact proves, and where the current proof boundary stops.</p>
+          <h2>Research reading path.</h2>
+          <p>A newcomer should be able to move from the dataset sample to the task design, model baselines, current limitations, and scale-up plan without reading every file first.</p>
         </div>
-        <div class="review-grid">
-          <article class="review-card">
+        <div class="reading-grid">
+          <article class="reading-card">
             <span class="step-index">01</span>
-            <h3>Check the claim boundary</h3>
-            <p>Start with the evidence contract, artifact index, scope audit, publication audit, and website integrity report. They separate verified single-episode artifacts from readiness-only Qwen3-Omni work.</p>
-            <div class="review-links">
+            <h3>Understand the current scope</h3>
+            <p>Start with the project status, evidence contract, artifact index, scope guard, publication hygiene report, and website integrity report. They separate implemented single-episode work from the prepared Qwen3-Omni scale-up.</p>
+            <div class="reading-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">contract</a>
               <a href="data/evidence_contract.json">JSON</a>
               <a href="data/xperience10m_dataset_card_alignment.json">dataset card</a>
@@ -1732,37 +1751,39 @@
               <a href="data/figure_index.json">figures</a>
               <a href="data/brand_assets.json">brand</a>
               <a href="data/mirror_parity.json">mirrors</a>
+              <a href="data/project_status.json">status</a>
+              <a href="data/project_packet.json">packet</a>
               <a href="data/scope_claims_audit.json">scope</a>
-              <a href="data/publication_audit.json">audit</a>
+              <a href="data/publication_audit.json">hygiene</a>
               <a href="data/website_integrity.json">site check</a>
             </div>
           </article>
-          <article class="review-card">
+          <article class="reading-card">
             <span class="step-index">02</span>
             <h3>Inspect one model input</h3>
             <p>Use the window table and feature manifest to see the exact aligned sample unit, feature blocks, dimensions, and omitted audio feature status.</p>
-            <div class="review-links">
+            <div class="reading-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">windows</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">features</a>
             </div>
           </article>
-          <article class="review-card">
+          <article class="reading-card">
             <span class="step-index">03</span>
             <h3>Compare minimal vs neural heads</h3>
             <p>Every task has a small interpretable baseline and a matching neural MLP head over the same feature contract and chronological split.</p>
-            <div class="review-links">
+            <div class="reading-links">
               <a href="data/summary_metrics.json">summary metrics</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural heads</a>
             </div>
           </article>
-          <article class="review-card">
+          <article class="reading-card">
             <span class="step-index">04</span>
             <h3>Check the scale-up gate</h3>
             <p>The multi-episode Qwen3-Omni path is prepared, but no real 32-episode result is claimed until the data gate and held-out evaluation pass.</p>
-            <div class="review-links">
+            <div class="reading-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">blocker</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">access status</a>
-              <a href="data/reviewer_packet.json">review packet</a>
+              <a href="data/project_packet.json">project packet</a>
             </div>
           </article>
         </div>
@@ -1786,7 +1807,7 @@
           <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>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>Source alignment</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">alignment report</a></article>
           <article class="artifact"><h3>Episode layout</h3><p>Expected folders contain six MP4 streams and <code>annotation.hdf5</code>; <code>visualization.rrd</code> is treated as a viewer artifact and excluded from training downloads.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a></article>
           <article class="artifact"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 windows, 8,378 current features, audio documented but not yet featurized, and no raw-data redistribution.</p><a href="data/modality_atlas.json">modality atlas</a></article>
           <article class="artifact"><h3>Covered now</h3><p>Action/subtask labels, next-action prediction, temporal diagnostics, hand trajectory, contact, object relevance, caption grounding, retrieval, reconstruction, and misalignment.</p><a href="data/summary_metrics.json">summary metrics</a></article>
@@ -1865,7 +1886,7 @@
         <div class="callout-row">
           <div class="callout">
             <h3>What this project proves</h3>
-            <p>It proves the full engineering loop: reading Xperience-10M sample data, aligning modalities, converting them into model-ready windows, defining meaningful tasks, producing metrics, and packaging every artifact for review.</p>
+            <p>It demonstrates the full development loop: reading Xperience-10M sample data, aligning modalities, converting them into model-ready windows, defining meaningful tasks, producing metrics, and packaging artifacts for continued research.</p>
           </div>
           <div class="callout">
             <h3>What it does not prove</h3>
@@ -1879,7 +1900,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Small baselines, no hidden machinery.</h2>
-          <p>Motion-only and current all-feature classifiers use lightweight heads so the comparison stays readable on a laptop and easy to audit. The neural run keeps the same features and splits, then swaps in PyTorch MLP heads.</p>
+          <p>Motion-only and current all-feature classifiers use lightweight heads so the comparison stays readable on a laptop and easy to inspect. The neural run keeps the same features and splits, then swaps in PyTorch MLP heads.</p>
         </div>
         <div class="models">
           <article class="model"><h3>Motion-only action</h3><span class="score">0.9688</span><span class="meta">macro-F1, 18 classes</span></article>
@@ -2120,26 +2141,26 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Where the evidence lives.</h2>
-          <p>Metrics, predictions, confusion matrices, manifests, lightweight model weights, and derived window artifacts are committed so the repo is reviewable before rerunning anything. Raw Xperience-10M data and Qwen weights are not redistributed.</p>
+          <p>Metrics, predictions, confusion matrices, manifests, lightweight model weights, and derived window artifacts are committed so the repo is easy to explore before rerunning anything. Raw Xperience-10M data and Qwen weights are not redistributed.</p>
         </div>
         <div class="artifact-library">
           <section class="artifact-group">
             <div class="artifact-group-head">
-              <div><span>Start here</span><h3>Proof boundary and reviewer route</h3></div>
-              <p>These files tell a reviewer what is actually claimed, which artifacts prove it, and where the current scale-up boundary stops.</p>
+              <div><span>Start here</span><h3>Project map and scope boundary</h3></div>
+              <p>These files tell a reader what has been implemented, which artifacts support it, and where the current scale-up boundary stops.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from proof boundary to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></article>
+              <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from project scope to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></article>
               <article class="artifact"><h3>Evidence contract</h3><p>Defines verified, readiness-only, blocked, and out-of-scope claims.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
               <article class="artifact"><h3>Quality gates</h3><p>One release checklist for automated validators and live post-publish checks.</p><a href="data/quality_gates.json">quality_gates.json</a></article>
               <article class="artifact"><h3>Live publication</h3><p>Last public GitHub/HF URL verification after upload.</p><a href="data/live_publication_status.json">live_publication_status.json</a></article>
               <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes.</p><a href="data/artifact_index.json">artifact_index.json</a></article>
               <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figures, website HTML, and validator files.</p><a href="data/mirror_parity.json">mirror_parity.json</a></article>
-              <article class="artifact"><h3>Scope claims audit</h3><p>Machine check that historical <code>32ep</code> identifiers are provenance, not real 32-episode result claims.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
-              <article class="artifact"><h3>Publication audit</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and public-card figure freshness.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
+              <article class="artifact"><h3>Scope claim guard</h3><p>Machine check that historical <code>32ep</code> identifiers are provenance, not real 32-episode result claims.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
+              <article class="artifact"><h3>Publication hygiene</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and public-card figure freshness.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
               <article class="artifact"><h3>Website integrity</h3><p>Checks local links, anchors, JSON files, and referenced website image dimensions.</p><a href="data/website_integrity.json">website_integrity.json</a></article>
               <article class="artifact"><h3>Task-surface integrity</h3><p>Checks that public task cards use readable research names, modality thumbnails, and the interactive walkthrough/player contract.</p><a href="data/task_surface_integrity.json">task_surface_integrity.json</a></article>
-              <article class="artifact"><h3>Reviewer packet</h3><p>Machine-readable 90-second reviewer path and proof boundary summary.</p><a href="data/reviewer_packet.json">reviewer_packet.json</a></article>
+              <article class="artifact"><h3>Project packet</h3><p>Machine-readable 90-second project path and scope summary.</p><a href="data/project_packet.json">project_packet.json</a></article>
             </div>
           </section>
 
@@ -2208,12 +2229,12 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Reproduce the suite.</h2>
-          <p>Raw Xperience-10M data is not redistributed here. The public reproduction contract states the commands, expected outputs, exact-match audit evidence, and current non-reproducible scale-up boundary.</p>
+          <p>Raw Xperience-10M data is not redistributed here. The public reproduction contract states the commands, expected outputs, exact-match reproduction evidence, and current non-reproducible scale-up boundary.</p>
         </div>
         <div class="artifact-grid">
           <article class="artifact"><h3>Reproducibility contract</h3><p>Human-readable commands, expected artifacts, and boundaries for the public single-episode pipeline.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/REPRODUCIBILITY.md">REPRODUCIBILITY.md</a></article>
           <article class="artifact"><h3>Reproducibility matrix</h3><p>Machine-readable command matrix covering sample download, baselines, 12 tasks, figures, and validation.</p><a href="data/reproducibility_matrix.json">reproducibility_matrix.json</a></article>
-          <article class="artifact"><h3>Exact-match audit</h3><p>The last metric audit rebuilt the public-sample outputs from fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproducibility_audit.md</a></article>
+          <article class="artifact"><h3>Exact-match reproduction check</h3><p>The last metric check rebuilt the public-sample outputs from fresh cache and matched the committed metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/notes/reproducibility_audit.md">reproducibility_audit.md</a></article>
           <article class="artifact"><h3>Website integrity</h3><p>Local HTML references, anchors, JSON bundles, and image dimensions checked before publishing.</p><a href="data/website_integrity.json">website_integrity.json</a></article>
           <article class="artifact"><h3>Scale-up boundary</h3><p>The 32-episode Qwen3-Omni pilot is prepared but not publicly reproducible until gated data access and held-out evaluation pass.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">DATA_BLOCKER_REPORT.md</a></article>
         </div>

docs/site.webmanifest

@@ -1,7 +1,7 @@
 {
   "name": "Ropedia Xperience-10M Task Suite",
   "short_name": "Xperience-10M",
-  "description": "Audit-first multimodal embodied-AI task suite for the public Xperience-10M sample.",
+  "description": "Research-development multimodal embodied-AI task lab for the public Xperience-10M sample.",
   "start_url": "/ropedia-xperience-10m-task-suite/",
   "display": "standalone",
   "background_color": "#020502",

scripts/build_artifact_index.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Build a compact source-of-truth artifact index for reviewers.
+"""Build a compact source-of-truth artifact index for the research project.
 
 The index is intentionally selective. It lists the files that prove the public
 claims, not every prediction array or checkpoint in the repository.
@@ -18,20 +18,20 @@ OUTPUT = ROOT / "docs/data/artifact_index.json"
 
 ARTIFACTS = [
     {
-        "id": "reviewer_scorecard",
-        "title": "Reviewer scorecard",
-        "path": "REVIEWER_SCORECARD.md",
-        "kind": "review_path",
+        "id": "project_status",
+        "title": "Project status",
+        "path": "PROJECT_STATUS.md",
+        "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass reviewers.",
+        "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass readers.",
     },
     {
-        "id": "reviewer_scorecard_json",
-        "title": "Reviewer scorecard JSON",
-        "path": "docs/data/reviewer_scorecard.json",
-        "kind": "review_path",
+        "id": "project_status_json",
+        "title": "Project status JSON",
+        "path": "docs/data/project_status.json",
+        "kind": "project_path",
         "surface": "website_hf",
-        "proves": "Machine-readable copy of the current reviewer scorecard for website and HF mirrors.",
+        "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
     },
     {
         "id": "evidence_contract",
@@ -42,18 +42,18 @@ ARTIFACTS = [
         "proves": "Defines what is verified, what is readiness-only, and what must not be inferred.",
     },
     {
-        "id": "reviewer_packet",
-        "title": "Reviewer packet",
-        "path": "docs/data/reviewer_packet.json",
-        "kind": "review_path",
+        "id": "project_packet",
+        "title": "Project packet",
+        "path": "docs/data/project_packet.json",
+        "kind": "project_path",
         "surface": "website_hf",
-        "proves": "Gives a short audit path with scope status and public surfaces.",
+        "proves": "Gives a short project path with scope status and public surfaces.",
     },
     {
         "id": "artifact_guide",
         "title": "Artifact guide",
         "path": "ARTIFACT_GUIDE.md",
-        "kind": "review_path",
+        "kind": "project_path",
         "surface": "repo_hf",
         "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
     },
@@ -74,20 +74,20 @@ ARTIFACTS = [
         "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",
+        "id": "source_alignment",
+        "title": "Source alignment",
         "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.",
+        "proves": "Summarizes the pass/fail check 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",
+        "id": "source_alignment_json",
+        "title": "Source alignment 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.",
+        "proves": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
     },
     {
         "id": "source_alignment_validator",
@@ -95,7 +95,7 @@ ARTIFACTS = [
         "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.",
+        "proves": "Regenerates the source-alignment report from committed facts and public card text.",
     },
     {
         "id": "hf_publisher",
@@ -191,7 +191,7 @@ ARTIFACTS = [
         "path": "docs/data/quality_gates.json",
         "kind": "quality_gate",
         "surface": "website_hf",
-        "proves": "Machine-readable release-gate summary for validators, mirrors, and reviewer surfaces.",
+        "proves": "Machine-readable release-gate summary for validators, mirrors, and public project surfaces.",
     },
     {
         "id": "task_surface_integrity",
@@ -247,7 +247,7 @@ ARTIFACTS = [
         "id": "artifact_index_builder",
         "title": "Artifact index builder",
         "path": "scripts/build_artifact_index.py",
-        "kind": "review_path",
+        "kind": "project_path",
         "surface": "repo_hf",
         "proves": "Generates the selective proof-artifact catalog from local files.",
     },

scripts/build_figure_index.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Build a reviewer-facing index for public visual assets."""
+"""Build an index for public visual assets."""
 
 from __future__ import annotations
 

scripts/build_quality_gates.py

@@ -29,7 +29,7 @@ GATES = [
     },
     {
         "id": "source_alignment",
-        "title": "Source alignment audit",
+        "title": "Source alignment",
         "command": "python scripts/validate_source_alignment.py",
         "report": "docs/data/source_alignment_audit.json",
         "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or public-card boundary markers are missing or inconsistent.",
@@ -65,7 +65,7 @@ GATES = [
         "command": "python scripts/build_figure_index.py",
         "report": "docs/data/figure_index.json",
         "blocks_if": "Public figures, charts, or modality thumbnails are missing, unreadable, or lack source-script provenance.",
-        "proves": "Reviewer-facing visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
+        "proves": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
     },
     {
         "id": "brand_assets",
@@ -80,7 +80,7 @@ GATES = [
         "title": "Quality-gate manifest",
         "command": "python scripts/build_quality_gates.py",
         "report": "docs/data/quality_gates.json",
-        "blocks_if": "A public reviewer cannot see the current packaging gates in one place.",
+        "blocks_if": "A public reader cannot see the current packaging gates in one place.",
         "proves": "The publication checklist is explicit, versioned, and mirrored with the repo.",
     },
     {
@@ -88,7 +88,7 @@ GATES = [
         "title": "Artifact index",
         "command": "python scripts/build_artifact_index.py",
         "report": "docs/data/artifact_index.json",
-        "blocks_if": "Reviewer-critical evidence files are missing from the indexed proof layer.",
+        "blocks_if": "Project-critical evidence files are missing from the indexed proof layer.",
         "proves": "Core proof artifacts exist and stable files have SHA-256 hashes.",
     },
     {
@@ -169,7 +169,7 @@ def markdown(payload: dict) -> str:
     lines = [
         "# Publication Quality Gates",
         "",
-        "This file is the reviewer-facing release checklist for the Ropedia Xperience-10M Task Suite.",
+        "This file is the release checklist for the Ropedia Xperience-10M Task Suite.",
         "",
         f"Current gate status: **{payload['status']}**",
         "",

scripts/generate_visualizations.py

@@ -127,7 +127,7 @@ def svg_pipeline_diagram(path: Path, summary: dict) -> None:
             "results/**/*.json/csv/npz",
             "docs/data/summary_metrics.json",
             "GitHub Pages dashboard",
-            "reproducibility audit",
+            "reproducibility check",
         ], "#a7f078"),
     ]
     parts = [

scripts/publish_hf_bundles.py

@@ -43,6 +43,21 @@ COMMON_IGNORE = [
 STALE_ARTIFACT_REMOTE_FILES = [
     "results/omni_finetune/adapter_lora/tokenizer.json",
     "results/omni_finetune/hf_upload/tokenizer.json",
+    "REVIEWER_SCORECARD.md",
+    "docs/data/reviewer_packet.json",
+    "docs/data/reviewer_scorecard.json",
+]
+
+STALE_SPACE_REMOTE_FILES = [
+    "REVIEWER_SCORECARD.md",
+    "data/reviewer_packet.json",
+    "data/reviewer_scorecard.json",
+]
+
+STALE_MODEL_REMOTE_FILES = [
+    "REVIEWER_SCORECARD.md",
+    "metrics/reviewer_packet.json",
+    "metrics/reviewer_scorecard.json",
 ]
 
 
@@ -155,6 +170,8 @@ def main() -> int:
         hf_root / "space",
         "Publish Ropedia Xperience-10M task-suite Space",
     )
+    for path_in_repo in STALE_SPACE_REMOTE_FILES:
+        delete_remote_file_if_present(api, token, space_repo, "space", path_in_repo)
     upload_folder(
         api,
         token,
@@ -175,6 +192,8 @@ def main() -> int:
         "Publish Ropedia Xperience-10M task baseline cards",
         ignore_patterns=["**/*.pt", "**/*.npz"],
     )
+    for path_in_repo in STALE_MODEL_REMOTE_FILES:
+        delete_remote_file_if_present(api, token, model_repo, "model", path_in_repo)
     upload_folder(
         api,
         token,

scripts/render_overview_figures.py

@@ -5,7 +5,7 @@ Render polished PNG overview figures for the Ropedia project page.
 The generated assets are used only as text-free visual backgrounds. All
 labels, dimensions, task names, and metrics are read from committed result
 files via scripts/generate_visualizations.py so the final figures stay
-auditable.
+traceable.
 """
 
 from __future__ import annotations

scripts/render_task_suite_infographic.py

@@ -4,7 +4,7 @@ Render a polished Ropedia Xperience-10M 12-task infographic.
 
 The task names, inputs, and metrics are read from
 results/episode_task_suite/summary_report.json. The output is a deterministic
-PNG rendered from HTML/CSS so the labels stay legible and reviewable.
+PNG rendered from HTML/CSS so the labels stay legible and inspectable.
 """
 
 from __future__ import annotations
@@ -1019,7 +1019,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       <div>
         <div class="kicker">verified single-episode task suite</div>
         <h1>Ropedia Xperience-10M 12-task suite</h1>
-        <p class="subtitle">A clean map from synchronized multimodal windows to 12 auditable task heads, comparing minimal heads with neural MLP results. Next milestone: Qwen3-Omni fine-tuning with sensor-bridge evaluation.</p>
+        <p class="subtitle">A clean map from synchronized multimodal windows to 12 research task heads, comparing minimal heads with neural MLP results. Next milestone: Qwen3-Omni fine-tuning with sensor-bridge evaluation.</p>
       </div>
       <div class="stats">{stats_html}</div>
     </header>

scripts/task_walkthroughs.py

@@ -447,7 +447,7 @@ def build_payload(summary: dict[str, Any]) -> dict[str, Any]:
             "Build an 8,378-d current feature vector from available modality blocks.",
             "Construct a task-specific target from labels, future frames, paired windows, or modality splits.",
             "Train a minimal head and, when enabled, a neural MLP head.",
-            "Write metrics, predictions, and model artifacts for review.",
+            "Write metrics, predictions, and model artifacts for downstream exploration.",
         ],
         "tasks": tasks,
     }
@@ -458,7 +458,7 @@ def write_markdown(payload: dict[str, Any]) -> None:
         "# Junior-Friendly 12-Task Walkthroughs",
         "",
         "This file explains every task in the Xperience-10M episode suite as an input -> process -> output pipeline.",
-        "It is generated by `scripts/task_walkthroughs.py` from committed metrics plus hand-audited task explanations.",
+        "It is generated by `scripts/task_walkthroughs.py` from committed metrics plus hand-curated task explanations.",
         "",
         "## Shared Pipeline",
         "",

scripts/validate_mirror_parity.py

@@ -28,13 +28,13 @@ DATA_FILES = [
     "live_publication_status.json",
     "modality_atlas.json",
     "project_manifest.json",
+    "project_packet.json",
+    "project_status.json",
     "publication_audit.json",
     "quality_gates.json",
     "reproducibility_matrix.json",
     "research_direction_extensions.json",
     "research_directions.json",
-    "reviewer_packet.json",
-    "reviewer_scorecard.json",
     "scope_claims_audit.json",
     "source_alignment_audit.json",
     "summary_metrics.json",
@@ -91,7 +91,7 @@ DOC_FILES = [
     "QUALITY_GATES.md",
     "EVALUATION_PROTOCOL.md",
     "FIGURE_INDEX.md",
-    "REVIEWER_SCORECARD.md",
+    "PROJECT_STATUS.md",
     "SOURCE_ALIGNMENT_AUDIT.md",
     "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
 ]

scripts/validate_publication_package.py

@@ -64,7 +64,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
             "EVALUATION_PROTOCOL.md",
             "FIGURE_INDEX.md",
             "brand_assets.json",
-            "REVIEWER_SCORECARD.md",
+            "PROJECT_STATUS.md",
             "xperience10m-logo-social-card.png",
             "build_brand_assets.py",
             "cc-by-nc-4.0",
@@ -85,7 +85,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
             "evaluation_protocol.json",
             "figure_index.json",
             "brand_assets.json",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "xperience10m-logo-social-card.png",
             "build_brand_assets.py",
             "cc-by-nc-4.0",
@@ -107,7 +107,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
             "evaluation_protocol.json",
             "figure_index.json",
             "brand_assets.json",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "xperience10m-logo-social-card.png",
             "build_brand_assets.py",
             "cc-by-nc-4.0",
@@ -128,7 +128,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
             "EVALUATION_PROTOCOL.md",
             "FIGURE_INDEX.md",
             "brand_assets.json",
-            "REVIEWER_SCORECARD.md",
+            "PROJECT_STATUS.md",
             "xperience10m-logo-social-card.png",
             "build_brand_assets.py",
             "cc-by-nc-4.0",
@@ -149,7 +149,7 @@ CARD_FRESHNESS_EXPECTATIONS = [
             "evaluation_protocol.json",
             "figure_index.json",
             "brand_assets.json",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "xperience10m-logo-social-card.png",
             "build_brand_assets.py",
             "cc-by-nc-4.0",
@@ -259,7 +259,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "LICENSE",
         "codemeta.json",
         "ARTIFACT_GUIDE.md",
-        "REVIEWER_SCORECARD.md",
+        "PROJECT_STATUS.md",
         "QUALITY_GATES.md",
         "EVALUATION_PROTOCOL.md",
         "FIGURE_INDEX.md",
@@ -285,8 +285,8 @@ def required_assets(root: Path) -> dict[str, bool]:
         "docs/data/live_publication_status.json",
         "docs/data/quality_gates.json",
         "docs/data/project_manifest.json",
-        "docs/data/reviewer_packet.json",
-        "docs/data/reviewer_scorecard.json",
+        "docs/data/project_packet.json",
+        "docs/data/project_status.json",
         "docs/data/xperience10m_dataset_card_alignment.json",
         "docs/data/reproducibility_matrix.json",
         "docs/data/modality_atlas.json",

scripts/validate_scope_claims.py

@@ -30,7 +30,7 @@ PUBLIC_PRESENTATION_FILES = [
     "docs/data/project_manifest.json",
     "docs/data/mirror_parity.json",
     "docs/data/reproducibility_matrix.json",
-    "docs/data/reviewer_packet.json",
+    "docs/data/project_packet.json",
     "docs/data/summary_metrics.json",
 ]
 
@@ -159,7 +159,7 @@ def build_report() -> dict:
     failures: list[dict] = []
 
     project_manifest = read_json("docs/data/project_manifest.json")
-    reviewer_packet = read_json("docs/data/reviewer_packet.json")
+    project_packet = read_json("docs/data/project_packet.json")
     summary_metrics = read_json("docs/data/summary_metrics.json")
     dataset_manifest = read_json("results/omni_finetune/dataset_manifest.json")
     training_metadata = read_json("results/omni_finetune/training_metadata.json")
@@ -175,22 +175,22 @@ def build_report() -> dict:
         )
     )
 
-    reviewer_qwen_claim = reviewer_packet["scope_status"].get("qwen3_omni_32_episode_claim")
+    project_qwen_claim = project_packet["scope_status"].get("qwen3_omni_32_episode_claim")
     checks.append(
         check(
-            "reviewer_packet_disclaims_32_episode_qwen_result",
-            reviewer_qwen_claim is False,
-            f"reviewer_packet scope_status.qwen3_omni_32_episode_claim={reviewer_qwen_claim!r}",
-            ["docs/data/reviewer_packet.json"],
+            "project_packet_disclaims_32_episode_qwen_result",
+            project_qwen_claim is False,
+            f"project_packet scope_status.qwen3_omni_32_episode_claim={project_qwen_claim!r}",
+            ["docs/data/project_packet.json"],
         )
     )
-    do_not_infer = " ".join(reviewer_packet.get("do_not_infer", []))
+    do_not_infer = " ".join(project_packet.get("do_not_infer", []))
     checks.append(
         check(
-            "reviewer_packet_forbids_32_episode_inference",
+            "project_packet_forbids_32_episode_inference",
             "32-episode" in do_not_infer and "readiness run" in do_not_infer,
-            "reviewer packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
-            ["docs/data/reviewer_packet.json"],
+            "project packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
+            ["docs/data/project_packet.json"],
         )
     )
 

scripts/validate_website_integrity.py

@@ -229,7 +229,7 @@ def validate(docs_root: Path, site_base: str) -> dict:
     suite_start = index_text.find('<section id="suite">')
     suite_end = index_text.find('<section id="pipeline">')
     suite_text = index_text[suite_start:suite_end] if suite_start >= 0 and suite_end > suite_start else ""
-    scorecard_pos = index_text.find('<section id="scorecard">')
+    overview_pos = index_text.find('<section id="overview">')
     protocol_pos = index_text.find('<section id="protocol">')
     evidence_pos = index_text.find('<section id="evidence">')
     dataset_start = index_text.find('<section id="dataset-card">')
@@ -237,19 +237,19 @@ def validate(docs_root: Path, site_base: str) -> dict:
     dataset_text = index_text[dataset_start:dataset_end] if dataset_start >= 0 and dataset_end > dataset_start else ""
     semantic_rules = [
         (
-            "reviewer_scorecard_precedes_evidence_ledger",
-            '<section id="scorecard">',
+            "project_overview_precedes_progress_ledger",
+            '<section id="overview">',
             '<section id="evidence">',
-            "The reviewer scorecard should appear before the deeper evidence ledger.",
+            "The project overview should appear before the deeper progress ledger.",
         ),
         (
-            "reviewer_scorecard_links_json",
-            'data/reviewer_scorecard.json',
+            "project_status_links_json",
+            'data/project_status.json',
             None,
-            "The website should expose the machine-readable reviewer scorecard.",
+            "The website should expose the machine-readable project status.",
         ),
         (
-            "evaluation_protocol_between_scorecard_and_evidence",
+            "evaluation_protocol_between_overview_and_progress",
             '<section id="protocol">',
             '<section id="evidence">',
             "The evaluation protocol should appear before the deeper evidence ledger.",
@@ -294,7 +294,7 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "dataset_card_section_links_source_alignment_audit",
             'data/source_alignment_audit.json',
             None,
-            "The dataset-card section should expose the generated source-alignment audit.",
+            "The dataset-card section should expose the generated source-alignment report.",
         ),
         (
             "task_player_surface_present",
@@ -324,14 +324,14 @@ def validate(docs_root: Path, site_base: str) -> dict:
             marker_count = dataset_text.count(marker)
             passed = marker_count >= 1
             detail = {"marker_count": marker_count}
-        elif name == "reviewer_scorecard_precedes_evidence_ledger":
-            passed = scorecard_pos >= 0 and evidence_pos >= 0 and scorecard_pos < evidence_pos
-            detail = {"scorecard_index": scorecard_pos, "evidence_index": evidence_pos}
-        elif name == "evaluation_protocol_between_scorecard_and_evidence":
-            passed = scorecard_pos >= 0 and protocol_pos >= 0 and evidence_pos >= 0 and scorecard_pos < protocol_pos < evidence_pos
-            detail = {"scorecard_index": scorecard_pos, "protocol_index": protocol_pos, "evidence_index": evidence_pos}
+        elif name == "project_overview_precedes_progress_ledger":
+            passed = overview_pos >= 0 and evidence_pos >= 0 and overview_pos < evidence_pos
+            detail = {"overview_index": overview_pos, "evidence_index": evidence_pos}
+        elif name == "evaluation_protocol_between_overview_and_progress":
+            passed = overview_pos >= 0 and protocol_pos >= 0 and evidence_pos >= 0 and overview_pos < protocol_pos < evidence_pos
+            detail = {"overview_index": overview_pos, "protocol_index": protocol_pos, "evidence_index": evidence_pos}
         elif name in {
-            "reviewer_scorecard_links_json",
+            "project_status_links_json",
             "figure_index_links_json",
             "task_player_surface_present",
             "task_player_uses_walkthrough_json",

scripts/verify_live_publication.py

@@ -2,7 +2,7 @@
 """Verify the already-published GitHub Pages and Hugging Face mirrors.
 
 This is the post-publish companion to the local publication gates. It fetches
-public URLs and compares them with the local release artifacts so a reviewer can
+public URLs and compares them with the local release artifacts so a reader can
 see that the live surfaces match the repo/HF bundles that were prepared.
 """
 
@@ -61,8 +61,8 @@ HASH_GROUPS = [
         },
     },
     {
-        "id": "source_alignment_audit_json",
-        "title": "Source-alignment audit JSON",
+        "id": "source_alignment_json",
+        "title": "Source-alignment 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",
@@ -72,14 +72,14 @@ HASH_GROUPS = [
         },
     },
     {
-        "id": "reviewer_scorecard_json",
-        "title": "Reviewer scorecard JSON",
-        "local_path": "docs/data/reviewer_scorecard.json",
+        "id": "project_status_json",
+        "title": "Project status JSON",
+        "local_path": "docs/data/project_status.json",
         "urls": {
-            "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/reviewer_scorecard.json",
-            "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/reviewer_scorecard.json",
-            "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/reviewer_scorecard.json",
-            "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/reviewer_scorecard.json",
+            "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/project_status.json",
+            "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/project_status.json",
+            "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/project_status.json",
+            "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/project_status.json",
         },
     },
     {
@@ -176,7 +176,7 @@ MARKER_CHECKS = [
             "figure_index.json",
             "brand_assets.json",
             "xperience10m-logo-social-card.png",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "cc-by-nc-4.0",
             "12,103 episode folders",
             "xperience10m-taskfirst-v12-modality-xl",
@@ -205,7 +205,7 @@ MARKER_CHECKS = [
             "figure_index.json",
             "brand_assets.json",
             "xperience10m-logo-social-card.png",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "cc-by-nc-4.0",
             "12,103 episode folders",
             "xperience10m-taskfirst-v12-modality-xl",
@@ -234,7 +234,7 @@ MARKER_CHECKS = [
             "figure_index.json",
             "brand_assets.json",
             "xperience10m-logo-social-card.png",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "cc-by-nc-4.0",
             "12,103 episode folders",
             "interactive scrub/play walkthrough storyboard",
@@ -255,7 +255,7 @@ MARKER_CHECKS = [
             "figure_index.json",
             "brand_assets.json",
             "xperience10m-logo-social-card.png",
-            "reviewer_scorecard.json",
+            "project_status.json",
             "cc-by-nc-4.0",
             "12,103 episode folders",
             "interactive scrub/play storyboard",