Publish Ropedia Xperience-10M task baseline cards

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_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

@@ -59,8 +59,8 @@ model-index:
 
 This repo stores the minimal baseline weights, neural MLP task-head checkpoints,
 and metrics for the 12-task Xperience-10M episode suite, plus four lightweight
-direction-extension probes. It is meant to be read as a model audit, not as a
-robot foundation model.
+direction-extension probes. It is a baseline-model artifact repo for research
+development, not a robot foundation model.
 
 ![Ropedia Xperience-10M Task Suite logo](assets/brand/xperience10m-logo-social-card.png)
 
@@ -71,44 +71,32 @@ inertial sensing, and language annotation. The committed minimal and neural
 task heads use the current 8,378-d feature manifest; audio is documented in the
 figures but is not yet extracted into a model input feature block.
 
-The task-first 12-head map, architecture figures, logo, and card assets are
-mirrored from the same committed visual bundle as the static app. Text,
-dimensions, and metrics are generated from committed artifacts.
-The mirrored responsive modality atlas links the model inputs back to derived
-sample thumbnails, while `scripts/build_brand_assets.py` packages the logo
-variants used across the card, assets, and website HTML. The machine-readable
-asset inventory is mirrored at `metrics/brand_assets.json`.
-The mirrored task walkthrough data uses common research names and powers the
-interactive scrub/play storyboard plus larger task cards on the static app.
-The same bundle includes `metrics/task_surface_integrity.json` so the public
-task cards, modality thumbnails, and storyboard wiring can be checked alongside the
-model metrics.
+The task-first 12-head map, responsive modality atlas, interactive scrub/play storyboard,
+website HTML mirrors, `brand_assets.json`, and
+`scripts/build_brand_assets.py` are included so this model repo stays aligned
+with the public Space and artifact dataset.
 
 ## Evidence Boundary
 
 | Claim layer | Evidence | Boundary |
 | --- | --- | --- |
-| Reviewer scorecard | `REVIEWER_SCORECARD.md`, `metrics/reviewer_scorecard.json` | compact verified/data-gated/not-redistributed decision table |
+| Project status | `PROJECT_STATUS.md`, `metrics/project_status.json` | compact verified/data-gated/not-redistributed decision table |
 | Baseline weights | `artifacts/**/model.npz` | lightweight heads only |
 | Neural checkpoints | `artifacts/episode_task_suite/neural_mlp/**/model.pt` | same single-episode windows and splits |
 | Metrics | `artifacts/**/metrics.json`, prediction CSV/NPZ files | debugging and task-contract evidence |
 | Feature contract | `artifacts/**/feature_manifest.json` | audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `metrics/evaluation_protocol.json` | windowing, chronological split, leakage controls, and task metrics |
 | Qwen3-Omni | companion blocker and access-status reports | readiness-only until 32 valid episodes are available |
-| Scope claims guard | `metrics/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | historical `32ep` path strings are provenance, not 32-episode results |
-| Official dataset card alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `metrics/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`, `metrics/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers |
-| Task surface integrity | `metrics/task_surface_integrity.json`, `scripts/validate_task_surface.py` | public task cards use human-readable research names, modality thumbnails, and the interactive storyboard data contract |
-| Figure index | `FIGURE_INDEX.md`, `metrics/figure_index.json` | public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance |
-| Artifact index | `metrics/artifact_index.json` | compact catalog of reviewer-critical proof artifacts |
-| Artifact guide | `ARTIFACT_GUIDE.md` | human-readable map of proof boundary, task evidence, mirrors, and scale-up status |
-| Reproducibility | `REPRODUCIBILITY.md`, `metrics/reproducibility_matrix.json` | public commands, expected outputs, exact-match audit evidence, and non-reproducible boundaries |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `metrics/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers |
+| Task surface integrity | `metrics/task_surface_integrity.json`, `scripts/validate_task_surface.py` | task cards use human-readable research names, modality thumbnails, and the interactive storyboard data contract |
+| Artifact index | `metrics/artifact_index.json` | compact catalog of project-critical supporting artifacts |
+| Reproducibility | `REPRODUCIBILITY.md`, `metrics/reproducibility_matrix.json` | public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
 
-## 90-Second Reviewer Path
+## 90-Second Research Project Path
 
 | Step | Question | Primary artifacts |
 | --- | --- | --- |
-| 1 | What is actually claimed? | `REVIEWER_SCORECARD.md`, `metrics/reviewer_scorecard.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `FIGURE_INDEX.md`, `metrics/artifact_index.json`, `metrics/figure_index.json`, `metrics/live_publication_status.json`, `metrics/quality_gates.json`, `metrics/mirror_parity.json`, `metrics/scope_claims_audit.json`, `metrics/publication_audit.json`, `metrics/task_surface_integrity.json`, `metrics/website_integrity.json`, `metrics/project_manifest.json` |
+| 1 | What has been implemented? | `PROJECT_STATUS.md`, `metrics/project_status.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `FIGURE_INDEX.md`, `metrics/artifact_index.json`, `metrics/figure_index.json`, `metrics/live_publication_status.json`, `metrics/quality_gates.json`, `metrics/mirror_parity.json`, `metrics/scope_claims_audit.json`, `metrics/publication_audit.json`, `metrics/task_surface_integrity.json`, `metrics/website_integrity.json`, `metrics/project_manifest.json` |
 | 2 | Are source facts consistently presented? | `SOURCE_ALIGNMENT_AUDIT.md`, `metrics/source_alignment_audit.json`, `scripts/validate_source_alignment.py` |
 | 3 | How do I reproduce it? | `REPRODUCIBILITY.md`, `metrics/reproducibility_matrix.json`, companion GitHub `notes/reproducibility_audit.md` |
 | 4 | What is one model input? | `artifacts/episode_task_suite/feature_manifest.json`, `artifacts/episode_task_suite/available_modalities.json`, companion artifact dataset `windows.csv` |
@@ -129,9 +117,6 @@ listing snapshot: 803 session folders and 12,103 episode folders with
 display is tracked separately from the official card's about-1PB full-scale
 storage statement. Those are upstream metadata facts, not local downloads,
 raw-data redistribution, or model-quality evidence.
-The alignment record also preserves the official limited in diversity /
-showcase-quality disclaimer and excludes identity, surveillance, biometric,
-sensitive-attribute, and safety-critical uses.
 
 ## Qwen3-Omni LoRA Boundary
 
@@ -157,17 +142,6 @@ The committed heads are intentionally small:
 - cosine ranking for retrieval tasks
 - z-score + PyTorch MLP heads for all 12 human-readable task cards
 
-## Four Research Directions
-
-The baselines are grouped by the four Ropedia research tracks:
-
-| Direction | Current status | Baseline evidence |
-| --- | --- | --- |
-| A. Human Modeling & Motion Understanding | partially implemented | hand trajectory forecasting improves from `0.8223` to `0.1116` MPJPE with the neural MLP; contact is degenerate in this sample |
-| B. 3D/4D Reconstruction & Neural Rendering | proxy tasks only | cross-modal retrieval, feature reconstruction, and misalignment are prerequisites, not full neural rendering |
-| C. Egocentric Vision & Interaction | strongest implemented track | action/subtask/transition/next-action/object/caption tasks plus alignment/order diagnostics |
-| D. Scene Reconstruction & World Modeling | early proxy tasks | state, object, retrieval, reconstruction, and temporal tasks are first probes before scene graphs or maps |
-
 ## Metrics Snapshot
 
 These are single-episode chronological-split metrics. They are useful for
@@ -197,7 +171,7 @@ generalization.
 - `artifacts/**/metrics.json`: committed metrics
 - `artifacts/**/feature_manifest.json`: feature block boundaries where relevant
 - `assets/`: mirrored figures, modality thumbnails, and brand assets
-- `metrics/`: mirrored reviewer scorecard, protocol, source-alignment, publication, and scope-claim JSON files
+- `metrics/`: mirrored project status, protocol, source-alignment, publication, and scope-claim JSON files
 - `scripts/`: reproduction, visualization, and validation scripts
 
 ## Data Notice

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",

metrics/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",

metrics/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",

metrics/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",
+      "bytes": 2600193,
+      "sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
       "dimensions": {
         "format": "PNG",
         "width": 1800,

metrics/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": [
     {
       "id": "task_suite_infographic",
       "title": "Task-suite infographic",
-      "status": "pass",
+      "status": "fail",
       "local": {
         "path": "docs/assets/task_suite_infographic.png",
         "exists": true,
-        "bytes": 2600527,
-        "sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        "bytes": 2600193,
+        "sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5"
       },
       "mirrors": {
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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": [
+        {
+          "surface": "github_pages",
+          "kind": "hash_mismatch",
+          "url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png",
+          "expected_sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
+          "actual_sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        },
+        {
+          "surface": "hf_space",
+          "kind": "hash_mismatch",
+          "url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/resolve/main/assets/task_suite_infographic.png",
+          "expected_sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
+          "actual_sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        },
+        {
+          "surface": "hf_artifacts",
+          "kind": "hash_mismatch",
+          "url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/assets/task_suite_infographic.png",
+          "expected_sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
+          "actual_sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        },
+        {
+          "surface": "hf_model",
+          "kind": "hash_mismatch",
+          "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/assets/task_suite_infographic.png",
+          "expected_sha256": "b9ece059cf35fa1f14f264e773e1852e0042835381cc25266789db839c8e7ad5",
+          "actual_sha256": "624faef73c034a34b2b1e2b1335ecdb5b41232ef5d035f0d757ece0de4f700c5"
+        }
+      ]
     },
     {
       "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"
+        "bytes": 6919,
+        "sha256": "531f6f6e15f4006800f72f539de04b13e201e9fe91b21a4a6cc6f7bc59d4a519"
       },
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           "status_code": 200,
           "bytes": 6937,
-          "sha256": "c390816215face110fed18c5e81e8b0e735188d625920eba987ce8635f4cb9e9",
+          "sha256": "9e9281331138301c0e8de36e7cce926f929c9f7d47d2adbe52d1dd7e496c7420",
           "final_url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json",
           "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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           "bytes": 6937,
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           "url": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/quality_gates.json"
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@@ -81,20 +110,49 @@
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+          "final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/71c8a7ccf8b91decf60506a2650c5d2ea8ab624c/docs%2Fdata%2Fquality_gates.json",
           "url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/quality_gates.json"
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           "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/quality_gates.json"
         }
       },
-      "failures": []
+      "failures": [
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+          "surface": "github_pages",
+          "kind": "hash_mismatch",
+          "url": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/quality_gates.json",
+          "expected_sha256": "531f6f6e15f4006800f72f539de04b13e201e9fe91b21a4a6cc6f7bc59d4a519",
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+          "url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/quality_gates.json",
+          "expected_sha256": "531f6f6e15f4006800f72f539de04b13e201e9fe91b21a4a6cc6f7bc59d4a519",
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+          "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/quality_gates.json",
+          "expected_sha256": "531f6f6e15f4006800f72f539de04b13e201e9fe91b21a4a6cc6f7bc59d4a519",
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@@ -128,7 +186,7 @@
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+          "final_url": "https://huggingface.co/api/resolve-cache/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/71c8a7ccf8b91decf60506a2650c5d2ea8ab624c/docs%2Fdata%2Fxperience10m_dataset_card_alignment.json",
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@@ -136,15 +194,15 @@
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+          "final_url": "https://huggingface.co/api/resolve-cache/models/cy0307/ropedia-xperience-10m-task-baselines/7d8787f24638d5c5c17237c4c243feb5564fc691/metrics%2Fxperience10m_dataset_card_alignment.json",
           "url": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/xperience10m_dataset_card_alignment.json"
         }
       },
       "failures": []
     },
     {
-      "id": "source_alignment_audit_json",
-      "title": "Source-alignment audit JSON",
+      "id": "source_alignment_json",
+      "title": "Source-alignment JSON",
       "status": "pass",
       "local": {
         "path": "docs/data/source_alignment_audit.json",
@@ -174,7 +232,7 @@
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@@ -182,57 +240,86 @@
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     {
-      "id": "reviewer_scorecard_json",
-      "title": "Reviewer scorecard JSON",
-      "status": "pass",
+      "id": "project_status_json",
+      "title": "Project status JSON",
+      "status": "fail",
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@@ -513,12 +687,12 @@
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@@ -554,7 +728,36 @@
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@@ -571,15 +774,24 @@
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@@ -588,15 +800,24 @@
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@@ -605,15 +826,24 @@
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@@ -622,11 +852,269 @@
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 }

metrics/mirror_parity.json

@@ -1,6 +1,6 @@
 {
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+  "generated_at_utc": "2026-06-01T19:03:10+00:00",
   "hf_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish",
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@@ -36,27 +36,27 @@
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@@ -98,27 +98,27 @@
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metrics/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",

metrics/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",
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+    "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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+      "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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+        "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."
+    },
+        {
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+            "question": "Are source facts consistently presented?",
+            "primary_artifacts": [
+                "SOURCE_ALIGNMENT_AUDIT.md",
+                "docs/data/source_alignment_audit.json",
+                "scripts/validate_source_alignment.py"
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+        },
+        {
+            "step": 4,
+            "question": "How exactly are the tasks evaluated?",
+            "primary_artifacts": [
+                "EVALUATION_PROTOCOL.md",
+                "docs/data/evaluation_protocol.json",
+                "scripts/build_evaluation_protocol.py"
+            ],
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+        },
+        {
+            "step": 5,
+            "question": "How can the public pipeline be reproduced?",
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+        "docs/data/reproducibility_matrix.json",
+        "notes/reproducibility_audit.md"
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+      "readout": "The public sample pipeline has explicit commands, expected outputs, and a prior exact-match reproduction check over the committed metrics."
+    },
+        {
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+            "question": "What is inside one model input?",
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+        "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?",
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+        "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."
+    },
+        {
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+            "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."
+  ]
+}

metrics/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": {
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+    "aligned_frames": 5821,
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+    "audio_featurized": false,
+    "raw_xperience10m_data_redistributed": false,
+    "qwen3_omni_32_episode_claim": false
+  },
+  "rows": [
+    {
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+      "status": "verified",
+      "evidence": [
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+        "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."
+  ]
+}

metrics/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

metrics/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,

metrics/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
     },
     {

metrics/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",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
-      "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",
       "raw_hits": []
     },
     {
@@ -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.",
       "raw_hits": []
     },
     {
@@ -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.",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "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",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "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",
       "raw_hits": []
     },
     {
-      "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",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
-      "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",
       "raw_hits": []
     },
     {
@@ -1008,9 +1008,9 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "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": []
     },
     {
@@ -1020,33 +1020,33 @@
       "raw_hits": []
     },
     {
-      "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.",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "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": []
     },
     {
-      "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",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "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": []
     },
     {
-      "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": []
     },
     {
-      "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": []
     },
     {
@@ -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": []
     },
     {
@@ -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": []
     },
     {
@@ -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": []
     },
     {

metrics/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": {

metrics/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.",
-      "scorecard_index": 46359,
-      "protocol_index": 50598,
-      "evidence_index": 53005
+      "overview_index": 46980,
+      "protocol_index": 51259,
+      "evidence_index": 53666
     },
     {
       "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
     },
     {
@@ -120,7 +120,7 @@
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 23528,
+      "bytes": 23486,
       "top_level_type": "dict"
     },
     {
@@ -135,7 +135,7 @@
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 11309,
+      "bytes": 11266,
       "top_level_type": "dict"
     },
     {
@@ -150,7 +150,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 87890,
+      "bytes": 87845,
       "top_level_type": "dict"
     },
     {
@@ -160,17 +160,27 @@
     },
     {
       "path": "data/project_manifest.json",
-      "bytes": 4489,
+      "bytes": 4468,
+      "top_level_type": "dict"
+    },
+    {
+      "path": "data/project_packet.json",
+      "bytes": 7409,
+      "top_level_type": "dict"
+    },
+    {
+      "path": "data/project_status.json",
+      "bytes": 6111,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 6878,
+      "bytes": 6869,
       "top_level_type": "dict"
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 6937,
+      "bytes": 6919,
       "top_level_type": "dict"
     },
     {
@@ -188,19 +198,9 @@
       "bytes": 14390,
       "top_level_type": "dict"
     },
-    {
-      "path": "data/reviewer_packet.json",
-      "bytes": 7401,
-      "top_level_type": "dict"
-    },
-    {
-      "path": "data/reviewer_scorecard.json",
-      "bytes": 6114,
-      "top_level_type": "dict"
-    },
     {
       "path": "data/scope_claims_audit.json",
-      "bytes": 20089,
+      "bytes": 20081,
       "top_level_type": "dict"
     },
     {
@@ -220,12 +220,12 @@
     },
     {
       "path": "data/task_walkthroughs.json",
-      "bytes": 26935,
+      "bytes": 26951,
       "top_level_type": "dict"
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 9525,
+      "bytes": 9506,
       "top_level_type": "dict"
     },
     {
@@ -374,7 +374,7 @@
     {
       "path": "assets/task_suite_infographic.png",
       "exists": true,
-      "bytes": 2600527,
+      "bytes": 2600193,
       "width": 1800,
       "height": 6600,
       "format": "PNG"

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",