Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -4,17 +4,17 @@ This guide is the human-readable map for the public Ropedia Xperience-10M task
 suite artifacts. It complements the machine-readable
 [`docs/data/artifact_index.json`](docs/data/artifact_index.json).
 
-The project intentionally separates nine layers:
+The project separates these reading layers:
 
 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.
+2. **Project scope:** what is implemented now, what is setup-stage, and what
+   remains gated by multi-episode data access.
 3. **Official source alignment:** what the upstream Xperience-10M dataset card,
    public sample card, and HF API metadata say, and which parts this repo
    currently covers.
 4. **Evaluation protocol:** windowing, split policy, per-task metrics, leakage
-   controls, and unsupported interpretations.
+   controls, and current limitations.
 5. **Visual evidence:** public figures, charts, modality thumbnails, dimensions,
    hashes, roles, and source scripts.
 6. **Data contract:** how one public Xperience-10M sample episode becomes
@@ -24,19 +24,19 @@ The project intentionally separates nine layers:
 8. **Reproducibility:** public commands, expected outputs, and exact-match
    evidence for the single-episode pipeline.
 9. **Public surface QA:** repo, website, and Hugging Face presentation quality,
-   accessibility semantics, links, and copy hygiene.
+   accessibility semantics, links, and reader-facing copy consistency.
 10. **Scale-up status:** scripts and reports for the planned 32-episode
-   Qwen3-Omni pilot, without claiming those results before data access lands.
+   Qwen3-Omni pilot, with the data-access requirement kept visible.
 
 ## Start Here
 
 | Artifact | Why to open it first |
 | --- | --- |
-| [`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. |
+| [`PROJECT_STATUS.md`](PROJECT_STATUS.md) | Gives the fastest current decision table: verified, data-gated, and outside current scope. |
+| [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines the implemented scope, setup-stage artifacts, and multi-episode prerequisites. |
 | [`QUALITY_GATES.md`](QUALITY_GATES.md) | Lists the automated release gates and post-publish checks required before presenting a release as current. |
 | [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Checks whether repo, website, and Hugging Face cards read as one polished research project surface. |
-| [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and unsupported interpretations. |
+| [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and current limitations. |
 | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Aligns this repo's public dataset wording with the official gated Xperience-10M card, sample card, and HF API metadata. |
 | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Verifies source-alignment markers across repo, website, and HF cards. |
 | [`FIGURE_INDEX.md`](FIGURE_INDEX.md) | Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts. |
@@ -45,15 +45,15 @@ The project intentionally separates nine layers:
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists project-critical files with existence, size, and stable hashes. |
 | [`docs/data/figure_index.json`](docs/data/figure_index.json) | Machine-readable visual asset index for website and HF mirrors. |
 | [`docs/data/project_status.json`](docs/data/project_status.json) | Machine-readable copy of the project status table. |
-| [`docs/data/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 check for source facts and public-card boundary markers. |
+| [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable source-alignment summary, including gated metadata, sample license/tooling, and current project coverage. |
+| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable pass/fail check for source facts and current-project 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/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable public-surface QA for website, repo, and Hugging Face presentation. |
 | [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json) | Last live GitHub/HF verification after upload. |
 | [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json) | Confirms prepared HF Space, artifact, and model mirrors match the repo for critical data, figures, website HTML, and validator scripts. |
 | [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Confirms public bundles exclude raw data, Python caches, heavy archives, token strings, and stale public-card figure references. |
-| [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Confirms historical `32ep` smoke-run identifiers are not presented as real 32-episode results. |
+| [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Confirms historical `32ep` setup identifiers are not presented as completed 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/project_packet.json`](docs/data/project_packet.json) | Gives the shortest machine-readable project route. |
@@ -64,15 +64,15 @@ 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 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. |
+| [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Generated source-alignment report showing source facts, sample license/tooling, API-listing caveat, and current project scope. |
+| [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable check of source metadata, current-project 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
 
 | Artifact | What it proves |
 | --- | --- |
-| [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Human-readable task protocol: window unit, chronological split, input/target contracts, primary metrics, leakage controls, and unsupported interpretations. |
+| [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Human-readable task protocol: window unit, chronological split, input/target contracts, primary metrics, leakage controls, and current limitations. |
 | [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | Machine-readable protocol generated from committed task metrics. |
 | [`scripts/build_evaluation_protocol.py`](scripts/build_evaluation_protocol.py) | Regenerates the protocol from `docs/data/summary_metrics.json` and source task artifacts. |
 
@@ -132,15 +132,15 @@ The project intentionally separates nine layers:
 | QA artifact | What it checks |
 | --- | --- |
 | [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Human-readable presentation QA for repo, website, and Hugging Face cards. |
-| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable checks for SEO/social metadata, accessible tabs, public links, QA links, and copy hygiene. |
+| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable checks for SEO/social metadata, accessible tabs, public links, QA links, and reader-facing copy consistency. |
 | [`scripts/build_public_surface_qa.py`](scripts/build_public_surface_qa.py) | Regenerates the public-surface QA report before release. |
 
-## Scale-Up Boundary
+## Scale-Up Status
 
 | Artifact | Current status |
 | --- | --- |
-| [`results/omni_finetune/DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md) | Documents why no real 32-episode Qwen3-Omni result is claimed yet. |
-| [`results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md) | Documents the public multi-episode access boundary and selected 32-episode pilot plan without private infrastructure details. |
+| [`results/omni_finetune/DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md) | Documents the data-access requirement before the 32-episode Qwen3-Omni pilot can run. |
+| [`results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md) | Documents the public multi-episode access path and selected 32-episode pilot plan without private infrastructure details. |
 | [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | Discovery gate for valid multi-episode Xperience-10M sources. |
 | [`scripts/omni/train_qwen3_omni_lora.py`](scripts/omni/train_qwen3_omni_lora.py) | Training entrypoint for the Qwen3-Omni LoRA pilot after the data gate passes. |
 

EVALUATION_PROTOCOL.md

@@ -26,7 +26,7 @@ table is `results/episode_task_suite/windows.csv`.
 
 ## Split Policy
 
-The current suite uses `single_episode_chronological`: The split preserves time order so future episode segments are not mixed randomly into the train set. It is still one episode, so it cannot prove cross-episode generalization.
+The current suite uses `single_episode_chronological`: The split preserves time order so future episode segments are not mixed randomly into the train set. It is still one episode; cross-episode generalization is evaluated in the multi-episode stage.
 
 This makes some classification metrics intentionally harsh: later test
 segments can contain action or subtask labels not present in the train
@@ -68,17 +68,17 @@ are not foundation models.
 - For cross-modal tasks, split query-side and candidate-side feature blocks before training and ranking.
 - Report unseen test classes when the chronological split exposes labels absent from the train segment.
 
-## Unsupported Interpretations
+## Current Limitations
 
-- Do not infer cross-episode generalization from this single public sample.
-- Do not treat feature-vector reconstruction as pixel depth, mesh, NeRF, or Gaussian reconstruction.
-- Do not treat Qwen3-Omni readiness artifacts as a real 32-episode fine-tune.
-- Do not infer audio-visual learning from the current baseline vector because audio is not featurized.
+- Cross-episode generalization is evaluated in the later multi-episode stage.
+- Feature-vector reconstruction is separate from pixel depth, mesh, NeRF, or Gaussian reconstruction.
+- Qwen3-Omni setup artifacts are preparation artifacts until the 32-episode held-out pilot runs.
+- Audio-visual learning needs an extracted audio feature block; audio is documented and visualized but not featurized in the current baseline vector.
 
 ## Scale-Up Gate
 
-A real Qwen3-Omni fine-tuning claim requires all of the following before
-being presented as model quality:
+The full Qwen3-Omni fine-tuning pilot requires all of the following before
+reporting held-out model metrics:
 
 - at least 32 valid Xperience-10M episodes
 - held-out episode split with no train/test episode leakage

EVIDENCE_CONTRACT.md

@@ -1,45 +1,45 @@
 # Evidence Contract
 
 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
+project statement 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 |
+| Project statement | Current evidence | Status | Current scope |
 | --- | --- | --- | --- |
-| 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 |
+| A first-pass reader has a compact current-state summary. | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Verified guide | Summarizes existing evidence and current limitations |
 | The public dataset description is aligned with the official gated Xperience-10M dataset card and public sample card. | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Verified description alignment | Summarizes upstream public metadata, API listing facts, sample license/tooling, and card facts; does not grant access or mirror raw data |
-| Source facts and 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 |
+| Source facts and current-project 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 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 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 current limitations |
 | 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 |
 | Four extra direction probes are coded and evaluated. | `results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json`, `docs/data/research_direction_extensions.json` | Verified single-episode probes | Not full human modeling, neural rendering, intent modeling, or world modeling solutions |
-| Qwen3-Omni infrastructure has passed readiness checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Readiness-only evidence | One episode, 128 train windows; not a 32-episode pilot |
-| The real 32-episode LoRA pilot is blocked on gated data access, not on repo presentation. | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` | Blocker documented | No 32-episode metric should be claimed until the gate passes |
-| Historical `32ep` path strings are not treated as 32-episode results. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Verified pass | Classifies old run/path identifiers and fails if public presentation claims real 32-episode metrics |
+| Qwen3-Omni infrastructure has passed setup checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Setup-stage evidence | One episode, 128 train windows; full metrics require the 32-episode pilot |
+| The 32-episode LoRA pilot is waiting on gated data access. | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` | Data access pending | Held-out metrics come after the data gate, manifest construction, training, and test evaluation |
+| Historical `32ep` path strings are tracked as setup-file provenance. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Verified pass | Old run/path identifiers stay separate from completed 32-episode results |
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | 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 repo, website, and Hugging Face cards present one coherent research surface. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Verified public-surface QA | Checks SEO/social metadata, accessible tab semantics, public links, QA links, and copy hygiene; it does not prove model quality |
+| The public repo, website, and Hugging Face cards present one coherent research surface. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Verified public-surface QA | Checks SEO/social metadata, accessible tab semantics, public links, QA links, and reader-facing copy consistency |
 | 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. | `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; cross-episode model quality is measured by later held-out reports |
 | 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 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 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 |
+| A first-time reader has an explicit project path. | `docs/data/project_packet.json`, website project path section, README project path | Verified project packet | Guides inspection across data, tasks, results, and scale-up status |
 
 ## Reading Order
 
 1. Read `PROJECT_STATUS.md` and `docs/data/project_status.json` for
    the fastest current-state decision table.
-2. Read `docs/data/project_packet.json` for the shortest project path and scope
-   boundary.
+2. Read `docs/data/project_packet.json` for the shortest project path and
+   current scope.
 3. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
    `docs/data/xperience10m_dataset_card_alignment.json` to check the official
    dataset-card wording and how the current repo is scoped against it.
@@ -51,7 +51,7 @@ the dashboard as a basis for further work.
    thumbnails, logo assets, dimensions, hashes, and source scripts.
 6. Read `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` to
    check windowing, split policy, per-task metrics, leakage controls, and
-   unsupported interpretations.
+   current limitations.
 7. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
    project artifacts, indexed supporting artifacts,
    sizes, and stable-file hashes.
@@ -66,7 +66,7 @@ the dashboard as a basis for further work.
 12. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
    neural heads under the same splits.
 13. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
-   `32ep` strings in Qwen3-Omni readiness artifacts.
+   `32ep` strings in Qwen3-Omni setup artifacts.
 14. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
    Hugging Face mirrors contain the same critical data, visual, HTML, and
    validator files.

PROJECT_README.md

@@ -57,42 +57,42 @@ Current contributions:
 - a next-milestone track for Qwen3-Omni fine-tuning and sensor-bridge evaluation,
 - metrics, predictions, model weights, manifests, charts, and a two-level
   tabbed static research website,
-- a clear explanation of what a single episode can and cannot prove.
+- a clear explanation of what is implemented now and what moves to the multi-episode stage.
 
-## Research Boundary
+## Current Research Scope
 
 This repo separates implemented single-episode research artifacts from future
-multi-episode model claims:
+multi-episode held-out model metrics:
 
-| Claim layer | Evidence | Boundary |
+| Project layer | Evidence | Current scope |
 | --- | --- | --- |
 | Official Xperience-10M description | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | aligns public wording with the official gated dataset card, public sample card, and HF API metadata; does not mirror raw data |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates source facts and boundary wording across repo, website, and HF cards |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates source facts and current-project wording across repo, website, and HF cards |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts |
 | Brand assets | `docs/assets/brand/`, `docs/favicon.png`, `docs/apple-touch-icon.png`, `scripts/build_brand_assets.py` | applies the generated project logo system across the website, README, HF cards, favicon, and social previews |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
-| Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and unsupported interpretations |
-| Research takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | summarizes result interpretation from committed metrics without broad model-quality overclaims |
+| Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and current limitations |
+| Research takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | summarizes result interpretation from committed metrics and identifies which experiments need held-out episodes |
 | 12-task suite | `scripts/episode_task_suite.py`, per-task `metrics.json`, predictions | chronological single-episode split |
 | Neural heads | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | compact MLP heads, not a foundation model |
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Task surface integrity | `docs/data/task_surface_integrity.json`, `scripts/validate_task_surface.py` | public task cards stay human-readable, thumbnail-backed, and wired to the scrub/play walkthrough storyboard |
-| Public surface QA | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, QA links, and copy hygiene |
-| Qwen3-Omni | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | readiness-only until 32 valid episodes are available |
-| Scope claims guard | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | historical `32ep` path strings are provenance, not 32-episode results |
+| Public presentation check | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, QA links, and copy consistency |
+| Qwen3-Omni | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | setup-stage until 32 valid episodes are available and held-out evaluation runs |
+| Scale-up status check | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | historical `32ep` path strings stay in setup-file provenance and are not presented as completed 32-episode results |
 | Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, website HTML, and validator files |
-| Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded, and public cards must reference the current task-first figure |
+| Publication package check | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded, and public cards must reference the current task-first figure |
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one checklist for automated gates and live post-publish checks |
 | Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
 | Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact verified/data-gated/not-redistributed decision table for first-pass readers |
 | Citation and metadata | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | code is MIT-scoped; raw-data use follows Xperience-10M terms |
-| Project path | `docs/data/project_packet.json`, website project path section | navigation guide only; no new experimental claim |
+| Project path | `docs/data/project_packet.json`, website project path section | navigation guide across data, tasks, results, and scale-up status |
 
-Read the full boundary in [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), or
+Read the full scope note in [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), or
 consume the machine-readable copy at
 [`docs/data/evidence_contract.json`](docs/data/evidence_contract.json).
-The current publication hygiene report is at
+The current publication package report is at
 [`docs/data/publication_audit.json`](docs/data/publication_audit.json).
 The publication quality-gate summary is at
 [`QUALITY_GATES.md`](QUALITY_GATES.md) and
@@ -101,7 +101,7 @@ The last live-publication verification report is at
 [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json).
 The current prepared-mirror parity report is at
 [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json).
-The current scope-claims guard is at
+The current scale-up status check is at
 [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json).
 The task-card and walkthrough-storyboard integrity report is at
 [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json).
@@ -152,10 +152,10 @@ They give the current research state in one compact table:
 | 12-task suite | Verified minimal baselines with committed metrics, predictions, and manifests |
 | Neural heads | Verified compact PyTorch MLP heads over the same task contracts and chronological splits |
 | Official dataset wording | Verified against the public `ropedia-ai/xperience-10m` dataset card/API metadata |
-| Source alignment | Verified source facts and source-boundary markers across repo, website, and HF cards |
+| Source alignment | Verified source facts and current-project markers across repo, website, and HF cards |
 | Evaluation protocol | Verified generated protocol for windowing, split policy, leakage controls, and per-task metrics |
 | Website and HF mirrors | Verified by local integrity, public-surface QA, mirror parity, and live-publication checks; the public dashboard uses five top-level tabs plus subsection tabs for dataset, task-suite, method, result, and resource views |
-| Qwen3-Omni 32-episode pilot | Data-gated; prepared, but not a model-quality claim |
+| Qwen3-Omni 32-episode pilot | Data-gated; prepared, with full metrics pending held-out evaluation |
 | Raw Xperience-10M data / full Qwen weights | Not redistributed |
 
 ## 90-Second Research Project Path
@@ -164,16 +164,16 @@ If you are reading the project cold, open these in order:
 
 | Step | Question | Primary artifacts | What should be true |
 | --- | --- | --- | --- |
-| 1 | What has been implemented? | [`PROJECT_STATUS.md`](PROJECT_STATUS.md), [`docs/data/project_status.json`](docs/data/project_status.json), [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`QUALITY_GATES.md`](QUALITY_GATES.md), [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/figure_index.json`](docs/data/figure_index.json), [`docs/data/brand_assets.json`](docs/data/brand_assets.json), [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json), [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json), [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json), [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Single-episode task engineering and hygiene are implemented; historical `32ep` identifiers are not treated as real 32-episode results, visual/brand assets are indexed, and quality gates plus prepared and live mirrors are checked. |
+| 1 | What has been implemented? | [`PROJECT_STATUS.md`](PROJECT_STATUS.md), [`docs/data/project_status.json`](docs/data/project_status.json), [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`QUALITY_GATES.md`](QUALITY_GATES.md), [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/figure_index.json`](docs/data/figure_index.json), [`docs/data/brand_assets.json`](docs/data/brand_assets.json), [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json), [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json), [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json), [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Single-episode task engineering and publication checks are implemented; historical `32ep` identifiers stay in setup-file provenance, visual/brand assets are indexed, and quality gates plus prepared and live mirrors are checked. |
 | 2 | What is the official upstream dataset? | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md), [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json), [official HF dataset](https://huggingface.co/datasets/ropedia-ai/xperience-10m) | The full dataset is described as a gated large-scale 4D multimodal egocentric source; this repo validates only one public sample episode. |
-| 3 | Are source facts consistently presented? | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md), [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json), [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Repo, website, and HF cards preserve full-dataset, sample-card, API-listing, and project-boundary markers. |
-| 4 | How exactly are tasks evaluated? | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md), [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json), [`scripts/build_evaluation_protocol.py`](scripts/build_evaluation_protocol.py) | The window unit, chronological split, leakage controls, task metrics, and unsupported interpretations are explicit. |
-| 5 | What do the current results mean? | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | The takeaways are generated from committed metrics and separate useful signals from unsupported model-quality claims. |
+| 3 | Are source facts consistently presented? | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md), [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json), [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Repo, website, and HF cards preserve full-dataset, sample-card, API-listing, and current-project markers. |
+| 4 | How exactly are tasks evaluated? | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md), [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json), [`scripts/build_evaluation_protocol.py`](scripts/build_evaluation_protocol.py) | The window unit, chronological split, leakage controls, task metrics, and current limitations are explicit. |
+| 5 | What do the current results mean? | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | The takeaways are generated from committed metrics and identify which signals are ready for larger held-out experiments. |
 | 6 | How do I reproduce it? | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md), [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json), [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | Public commands, expected outputs, and exact-match reproduction evidence are explicit. |
 | 7 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,378-d window vector with explicit feature-block boundaries. |
 | 8 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
 | 9 | Is the website internally coherent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, tab routing, JSON data, and referenced images are checked before publishing. |
-| 10 | What is still pending? | [`DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared but not yet a real model-quality claim. |
+| 10 | What is still pending? | [`DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared; final model metrics require gated data and held-out evaluation. |
 
 The machine-readable project packet is
 [`docs/data/project_packet.json`](docs/data/project_packet.json).
@@ -183,12 +183,12 @@ The machine-readable project packet is
 [`docs/data/artifact_index.json`](docs/data/artifact_index.json) is the compact
 project artifact map for the repo. It lists the core supporting artifacts, whether each exists,
 its size, and a SHA-256 hash for stable files. Volatile generated files, such as
-the publication hygiene report with a run timestamp, are marked so readers know they
+the publication package report with a run timestamp, are marked so readers know they
 are checked for presence and size rather than treated as fixed hashes.
 
 [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) is the human-readable companion. It
-groups the same proof layer into start-here files, data-contract files,
-task-evidence files, platform mirrors, and scale-up boundary artifacts.
+groups the same project evidence into start-here files, data-contract files,
+task-evidence files, platform mirrors, and scale-up status artifacts.
 
 ## Evaluation Protocol
 
@@ -196,12 +196,12 @@ task-evidence files, platform mirrors, and scale-up boundary artifacts.
 [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) are
 generated from committed metric artifacts. They define:
 
-- the 20-frame window unit, stride, feature dimension, and raw-data boundary,
+- the 20-frame window unit, stride, feature dimension, and raw-data policy,
 - the chronological 70/30 single-episode split and its generalization limit,
 - the per-task input, target, primary metric, minimal score, and neural score,
 - leakage controls for future labels, target feature blocks, caption/object
   labels, and train-only normalization,
-- unsupported interpretations, including cross-episode generalization,
+- current limitations, including cross-episode generalization,
   audio-visual learning, pixel-depth reconstruction, and real 32-episode
   Qwen3-Omni quality.
 
@@ -272,20 +272,20 @@ Hugging Face Space app:
 
 | Layer | What to inspect | Why it matters |
 | --- | --- | --- |
-| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Gives a one-table current project boundary before reading the full artifact trail |
+| Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Gives a one-table current project summary before reading the full artifact trail |
 | Data contract | `windows.csv`, `feature_manifest.json`, modality manifests | Confirms what each sample window contains before modeling |
 | Official dataset alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Keeps public descriptions aligned with the official gated dataset card |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Verifies source facts and boundary markers across repo, website, and HF cards |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json` | Verifies source facts and current-project markers across repo, website, and HF cards |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json` | Indexes public figures, charts, modality thumbnails, dimensions, hashes, and source scripts |
 | Brand assets | `docs/data/brand_assets.json`, `docs/assets/brand/` | Indexes the generated logo, favicon, README/HF card image, app icon, and social preview |
-| Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and unsupported interpretations |
+| Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and current limitations |
 | Task surface integrity | `docs/data/task_surface_integrity.json` | Checks the public task cards, readable task names, representative modality thumbnails, and interactive walkthrough storyboard |
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
 | Neural heads | PyTorch MLP classifiers/regressors under `neural_mlp/` | Checks whether nonlinear heads improve each task without changing features |
 | Evidence | metrics, predictions, confusion matrices, diagrams, dashboard | Makes the single-episode task development inspectable without rerunning first |
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Shows the exact automated and post-publish checks required before presenting a release as current |
 | Live publication status | `docs/data/live_publication_status.json` | Records the last live GitHub Pages, GitHub raw, and Hugging Face mirror verification |
-| Publication hygiene | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale public-card figure references |
+| Publication package check | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale public-card figure references |
 | Artifact index | `docs/data/artifact_index.json` | Gives readers a compact source-of-truth catalog with stable hashes |
 | Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into research-project layers |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
@@ -348,9 +348,8 @@ overlays exact labels, dimensions, and metrics from the committed result files.
 
 ## Scope
 
-This is a learning, inspection, and pipeline-validation repo. It does **not**
-claim cross-episode generalization because the public sample used here is one
-episode. The correct next step for real model claims is to run the same suite
+This is a learning, inspection, and pipeline-validation repo built from one
+public sample episode. The next model-quality stage is to run the same suite
 over many episodes and split train/test by held-out episode.
 
 ## What Is Inside
@@ -372,10 +371,10 @@ scripts/
   build_artifact_index.py           # builds the source-of-truth artifact index
   build_quality_gates.py            # builds publication quality gates
   validate_mirror_parity.py         # checks prepared GitHub/HF mirror file parity
-  validate_scope_claims.py          # checks Qwen3-Omni readiness/result claim boundaries
+  validate_scope_claims.py          # checks Qwen3-Omni setup/result status wording
   validate_task_surface.py          # checks readable task cards and interactive storyboard wiring
   validate_website_integrity.py     # checks local site links, anchors, JSON, images
-  validate_publication_package.py   # checks public repo + HF bundle hygiene
+  validate_publication_package.py   # checks public repo + HF bundle contents
   publish_hf_bundles.py             # uploads prepared HF Space/artifact/model bundles
   omni/
     download_sample_modelscope.py   # ModelScope sample download helper
@@ -398,11 +397,11 @@ results/
 docs/
   index.html                        # GitHub Pages dashboard
   data/summary_metrics.json         # website-readable metrics bundle
-  data/evidence_contract.json       # machine-readable proof boundary
-  data/artifact_index.json          # compact proof-artifact catalog
+  data/evidence_contract.json       # machine-readable project scope
+  data/artifact_index.json          # compact project-artifact catalog
   data/live_publication_status.json # live GitHub/HF publication verification
   data/quality_gates.json           # machine-readable publication gates
-  data/publication_audit.json       # machine-readable publication hygiene check
+  data/publication_audit.json       # machine-readable publication package check
   data/task_surface_integrity.json  # machine-readable task-card/storyboard integrity check
   data/website_integrity.json       # machine-readable website integrity check
   data/project_manifest.json        # machine-readable public-surface metadata
@@ -514,8 +513,9 @@ python scripts/train_all_modalities_model.py --workspace /path/to/workspace
 
 ## Xperience-10M Fine-Tuning Exploration
 
-This repo includes a first Qwen3-Omni fine-tuning path over Xperience-10M, but
-the current evidence is still readiness evidence rather than model quality.
+This repo includes a first Qwen3-Omni fine-tuning path over Xperience-10M. The
+current artifacts are setup-stage evidence, with held-out multi-episode metrics
+pending gated data access.
 The useful distinction is:
 
 - direct Qwen3-Omni inputs: RGB/fisheye video, embedded MP4 audio, and language

PROJECT_STATUS.md

@@ -11,19 +11,19 @@ the next development step.
 | 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. |
 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
-| Evaluation protocol | Verified | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Windowing, chronological split, per-task metrics, leakage controls, and 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. |
+| Evaluation protocol | Verified | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts. |
+| Official dataset wording | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage. |
+| Source alignment | Verified | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source facts and current-project markers are checked across repo docs, website, and HF cards. |
 | Website and HF mirrors | Verified | `docs/data/website_integrity.json`, `docs/data/mirror_parity.json`, `docs/data/live_publication_status.json` | Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been 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. |
+| Publication package | 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 scanning, 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. |
+| Qwen3-Omni fine-tuning | Data-gated; full metrics pending | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | The 32-episode LoRA pilot is prepared; final held-out metrics require gated data access, manifest construction, training, and evaluation. |
 | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |
 
 ## Fast Research Route
 
-1. Read this status file and `EVIDENCE_CONTRACT.md` to establish what is
-   claimed.
+1. Read this status file and `EVIDENCE_CONTRACT.md` to establish the current
+   project scope.
 2. Open `docs/data/project_packet.json` for the machine-readable project path.
 3. Inspect `RESEARCH_TAKEAWAYS.md` and
    `docs/data/research_takeaways.json` for the generated result interpretation.
@@ -37,12 +37,13 @@ the next development step.
 7. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before judging
    Qwen3-Omni scale-up status.
 
-## Do Not Infer
+## Current Reading Notes
 
-- 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.
+- Cross-episode generalization is a later multi-episode evaluation target; the
+  current results use one public sample episode.
+- Historical `32ep` path names refer to setup files, not completed 32-episode
+  training results.
+- The current reconstruction task reconstructs feature vectors, not pixel
+  depth, meshes, NeRF outputs, or Gaussian splats.
+- Audio is documented and visualized, but it is not yet part of the current
+  8,378-dimensional baseline feature vector.

PUBLIC_SURFACE_QA.md

@@ -4,7 +4,7 @@ This generated report checks whether the public repo, website, and Hugging Face
 
 Current status: **pass**
 
-This report validates public presentation quality and packaging hygiene. It does not prove multi-episode model quality.
+This report validates public presentation quality and package contents. Multi-episode model metrics are tracked by the training and evaluation reports.
 
 ## Checks
 
@@ -15,10 +15,10 @@ This report validates public presentation quality and packaging hygiene. It does
 | website_has_research_seo_metadata | `pass` | The website should expose search/social metadata and structured project metadata. |
 | website_tabs_are_accessible_and_keyboardable | `pass` | The long research dashboard should be navigable as real tabs, including keyboard support. |
 | responsive_navigation_guard_present | `pass` | Tablet/mobile navigation should not overflow and deep links should land below sticky navigation. |
-| public_naming_consistent | `pass` | Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up boundary. |
+| public_naming_consistent | `pass` | Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status. |
 | public_links_cover_repo_hf_dataset_and_ropedia | `pass` | Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page. |
 | public_artifact_qa_files_are_exposed | `pass` | Readers should be able to find integrity, publication, mirror, and public-surface QA files from public copy. |
-| public_copy_avoids_internal_or_meta_tone | `pass` | Public copy should not expose internal tooling, private hardware labels, assessment framing, or meta design-process wording. |
+| public_copy_uses_reader_facing_language | `pass` | Public copy should use reader-facing project language and avoid private tooling, hardware labels, assessment framing, or design-process notes. |
 
 ## Scope
 

QUALITY_GATES.md

@@ -6,23 +6,23 @@ Current gate status: **pass**
 
 Do not present a release as current unless every automated gate passes, then verify live GitHub/HF mirrors after publishing.
 
-These gates validate public packaging, claim boundaries, mirror parity, website integrity, and task-surface clarity. They do not prove cross-episode model quality; the 32-episode Qwen3-Omni pilot remains gated on data access.
+These gates validate public packaging, project status wording, mirror parity, and website integrity. Cross-episode model quality is measured by the later held-out evaluation reports.
 
 ## Automated Gates
 
 | 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 | `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. |
+| Scale-up status check | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Historical 32ep setup/provenance strings are presented as completed 32-episode metrics. |
+| Source alignment | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent. |
 | Website integrity | `python scripts/validate_website_integrity.py` | `docs/data/website_integrity.json` | `pass` | Local links, anchors, JSON bundles, or referenced image assets are missing or invalid. |
 | Task surface integrity | `python scripts/validate_task_surface.py` | `docs/data/task_surface_integrity.json` | `pass` | Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON. |
-| Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit. |
+| Evaluation protocol | `python scripts/build_evaluation_protocol.py` | `docs/data/evaluation_protocol.json` | `pass` | Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit. |
 | 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 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. |
-| Public surface QA | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or public-copy hygiene. |
+| Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Project-critical evidence files are missing from the indexed artifact layer. |
+| Publication package check | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles. |
+| Public surface QA | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or reader-facing copy consistency. |
 | Prepared mirror parity | `python scripts/validate_mirror_parity.py` | `docs/data/mirror_parity.json` | `pass` | Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files. |
 
 ## Post-Publish Checks

README.md

@@ -57,7 +57,7 @@ The artifact bundle now includes
 `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, which align this project's wording
 with the official gated `ropedia-ai/xperience-10m` dataset card: manually
 reviewed access, full-scale 4D modality coverage, episode layout, intended
-uses, limitations, and unsupported claims. The same artifact now records the
+uses, limitations, and current project coverage. The same artifact now records the
 public sample card (`cc-by-nc-4.0`, HOMIE Toolkit, Rerun 0.29.0 `.rrd`
 visualization) and the observed HF API listing snapshot: 803 session folders
 and 12,103 episode folders with `annotation.hdf5`, plus the live HF 31.9 TB
@@ -69,7 +69,7 @@ disclaimer and excludes identity, surveillance, biometric, sensitive-attribute,
 and safety-critical uses.
 The generated source-alignment report, `SOURCE_ALIGNMENT_AUDIT.md` plus
 `docs/data/source_alignment_audit.json`, checks those full-dataset facts,
-public sample-card facts, API-listing caveats, and current-project boundary
+public sample-card facts, API-listing caveats, and current-project
 markers across the repo, website, and Hugging Face cards.
 
 For first-pass reading, `PROJECT_STATUS.md` and
@@ -79,12 +79,12 @@ heads, source-aligned dataset wording, data-gated Qwen3-Omni scale-up, and
 excluded raw data.
 `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` define the
 window unit, chronological split, leakage controls, per-task metrics, and
-unsupported interpretations before a reader compares scores.
+current limitations before a reader compares scores.
 `RESEARCH_TAKEAWAYS.md` and `docs/data/research_takeaways.json`, regenerated by
 `scripts/build_research_takeaways.py`, summarize what the committed metrics
 actually show: chronological class shift, neural gains on
 dynamics/order/alignment, harder retrieval/reconstruction probes, and the need
-for held-out episodes before model-quality claims.
+for held-out episodes before final model metrics.
 `FIGURE_INDEX.md` and `docs/data/figure_index.json` catalog the public figures,
 charts, modality thumbnails, dimensions, stable hashes, and source scripts.
 `docs/data/brand_assets.json` catalogs the generated logo variants used for the
@@ -98,7 +98,7 @@ Current scale-up status: the full `ropedia-ai/xperience-10m` Hugging Face
 dataset is still gated for this account. The multi-episode workflow is prepared
 to select, download, validate, and stage a 32-episode held-out pilot after
 access approval. Until that completes, the committed Qwen3-Omni artifacts
-remain readiness evidence, not real 32-episode held-out metrics.
+remain setup-stage evidence; 32-episode held-out metrics require the full pilot.
 
 ## Why This Repo Exists
 
@@ -129,40 +129,40 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 Source-of-truth figure index: `FIGURE_INDEX.md` and `docs/data/figure_index.json`.
 Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 
-## Research Boundary And Supporting Checks
+## Current Research Scope And Supporting Checks
 
-| Claim layer | Evidence | Boundary |
+| Project layer | Evidence | Current scope |
 | --- | --- | --- |
 | Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact verified/data-gated/not-redistributed decision table |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | windowing, chronological split, leakage controls, and task metrics |
-| Research Takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | generated interpretation of the committed metrics and scale-up boundary |
+| Research Takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | generated interpretation of the committed metrics and scale-up status |
 | 12-task suite | per-task `metrics.json`, predictions, confusion matrices | chronological single-episode split |
 | Neural heads | `results/episode_task_suite/neural_mlp/` | compact MLP heads, not a foundation model |
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Task surface integrity | `docs/data/task_surface_integrity.json`, `scripts/validate_task_surface.py` | public cards use human-readable names, modality thumbnails, and the walkthrough/player data contract |
-| Qwen3-Omni | `DATA_BLOCKER_REPORT.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | readiness-only until 32 valid episodes are available |
-| Scope claims guard | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | historical `32ep` path strings are provenance, not 32-episode results |
+| Qwen3-Omni | `DATA_BLOCKER_REPORT.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | setup-stage until 32 valid episodes are available |
+| Scale-up status check | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | historical `32ep` path strings stay in setup-file provenance |
 | Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files |
-| Publication hygiene | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files/HF bundles only, with public-card freshness checks |
+| Publication package check | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files/HF bundles only, with public-card freshness checks |
 | Public surface checks | `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`, `scripts/build_public_surface_qa.py` | repo, website, and Hugging Face cards preserve SEO/social metadata, accessible tab semantics, public links, and public-copy consistency |
 | Website integrity | `docs/data/website_integrity.json`, `scripts/validate_website_integrity.py` | local links, anchors, JSON bundles, and referenced images only |
 | Quality gates | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | automated release gates plus live post-publish checks |
 | Live publication | `docs/data/live_publication_status.json`, `scripts/verify_live_publication.py` | last public GitHub/HF URL verification after upload |
-| Official dataset card alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | official source scope, public sample card, HF API listing, gated access, modality coverage, scale, and this repo's single-episode boundary |
-| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers |
+| Official dataset card alignment | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | official source scope, public sample card, HF API listing, gated access, modality coverage, scale, and this repo's single-episode scope |
+| Source alignment | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | validates full-dataset facts, sample-card facts, API-listing caveats, and current-project markers |
 | Brand assets | `assets/brand/`, `docs/assets/brand/`, `scripts/build_brand_assets.py` | Generated project logo system packaged for favicon, header, card, README, and social preview use |
 | Figure index | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | public figures, charts, modality thumbnails, dimensions, hashes, and generation provenance |
-| Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-artifact catalog with stable hashes |
+| Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact project-artifact catalog with stable hashes |
 | Citation metadata | `PROJECT_README.md`, `docs/data/project_manifest.json`, GitHub `CITATION.cff` | code/data license boundary remains explicit |
 
 ## What Is Included
 
-- `ARTIFACT_GUIDE.md`: human-readable map of proof boundary, data contract, task evidence, platform mirrors, and scale-up status
+- `ARTIFACT_GUIDE.md`: human-readable map of project scope, data contract, task evidence, platform mirrors, and scale-up status
 - `PROJECT_STATUS.md` and `docs/data/project_status.json`: compact current-state decision table
-- `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json`: public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries
-- `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json`: generated task protocol, split policy, leakage controls, and unsupported interpretations
+- `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json`: public commands, expected outputs, exact-match reproduction evidence, and current scale-up requirements
+- `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json`: generated task protocol, split policy, leakage controls, and current limitations
 - `RESEARCH_TAKEAWAYS.md` and `docs/data/research_takeaways.json`: generated metric interpretation and scale-up readout
 - `results/**/*.json`: verified metrics and metadata for minimal and neural MLP runs
 - `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
@@ -172,21 +172,21 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 - `docs/assets/task_suite_infographic.png`: task-suite infographic with the shared processing contract, all 12 task families, verified metric overlays, and enlarged public-sample modality thumbnails below the task map
 - `docs/assets/modalities/` and `docs/data/modality_atlas.json`: small derived sample thumbnails and metadata for the responsive modality atlas
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
-- `docs/data/evidence_contract.json`: machine-readable proof boundary
+- `docs/data/evidence_contract.json`: machine-readable project scope
 - `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`: official Xperience-10M dataset-card, public sample-card, and HF API metadata alignment summary
-- `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`: generated report that source facts and project-boundary markers are preserved across public surfaces
+- `SOURCE_ALIGNMENT_AUDIT.md` and `docs/data/source_alignment_audit.json`: generated report that source facts and current-project markers are preserved across public surfaces
 - `FIGURE_INDEX.md` and `docs/data/figure_index.json`: visual evidence index for public figures, charts, thumbnails, dimensions, hashes, and source scripts
-- `docs/data/artifact_index.json`: source-of-truth proof-artifact catalog with stable-file hashes
+- `docs/data/artifact_index.json`: source-of-truth project-artifact catalog with stable-file hashes
 - `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
-- `docs/data/scope_claims_audit.json`: machine-readable guard against overclaiming historical `32ep` readiness/provenance identifiers
-- `docs/data/publication_audit.json`: machine-readable publication hygiene and public-card freshness check
+- `docs/data/scope_claims_audit.json`: machine-readable scale-up status check for historical `32ep` setup/provenance identifiers
+- `docs/data/publication_audit.json`: machine-readable publication package and public-card freshness check
 - `PUBLIC_SURFACE_QA.md` and `docs/data/public_surface_qa.json`: public repo, website, and Hugging Face presentation checks
 - `docs/data/task_surface_integrity.json`: machine-readable task-card and walkthrough-player integrity check
 - `docs/data/website_integrity.json`: machine-readable website local-reference integrity check
 - `QUALITY_GATES.md` and `docs/data/quality_gates.json`: human-readable and machine-readable release gates
 - `docs/data/live_publication_status.json`: last live public URL verification after upload
 - `docs/data/project_manifest.json`: machine-readable public URL and citation metadata
-- `docs/data/project_packet.json`: machine-readable project path and scope boundary
+- `docs/data/project_packet.json`: machine-readable project path and scope summary
 - `docs/data/research_directions.json`: generated four-track taxonomy for the website
 - `docs/data/research_direction_extensions.json`: four extra data-backed probes, one per research direction
 - `docs/data/task_walkthroughs.json`: human-readable task names, modality links, input/process/output contracts, and walkthrough-player data for all 12 tasks
@@ -198,7 +198,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 - `scripts/build_artifact_index.py`: source-of-truth artifact-index builder
 - `scripts/build_research_takeaways.py`: regenerates Research Takeaways from committed metric artifacts
 - `scripts/validate_mirror_parity.py`: prepared mirror parity validator
-- `scripts/validate_scope_claims.py`: validates the Qwen3-Omni readiness/result claim boundary
+- `scripts/validate_scope_claims.py`: validates Qwen3-Omni setup status against completed 32-episode results
 - `scripts/validate_publication_package.py`: public bundle validator
 - `scripts/build_public_surface_qa.py`: public-surface QA report builder
 - `scripts/validate_website_integrity.py`: website local-reference validator

RESEARCH_TAKEAWAYS.md

@@ -2,7 +2,7 @@
 
 This generated note summarizes what the current public Xperience-10M sample
 pipeline actually shows. It is built from committed metric artifacts, not
-from hand-entered benchmark claims.
+from hand-edited score text.
 
 ## Scope
 
@@ -27,7 +27,7 @@ The public sample is converted into 5,821 frames, 1,161 aligned 20-frame windows
 
 Source: `docs/data/summary_metrics.json`.
 
-Boundary: This is a task-development benchmark, not cross-episode generalization.
+Current scope: This benchmark defines the task contract; cross-episode generalization is evaluated in the multi-episode stage.
 
 ### Chronological splits expose action-class shift
 
@@ -42,7 +42,7 @@ Earlier all-feature action classifiers reach high macro-F1 on their local split,
 
 Source: `results/episode_task_suite/summary_report.json`.
 
-Boundary: This is an important leakage/split lesson, not evidence that action recognition is solved.
+Current scope: This split is useful for studying label shift; broad action-recognition conclusions need held-out episodes.
 
 ### Small neural heads help dynamic and temporal probes
 
@@ -60,7 +60,7 @@ The MLP heads substantially improve hand trajectory forecasting, temporal-order
 
 Source: `results/episode_task_suite/neural_mlp/*/metrics.json`.
 
-Boundary: These gains are within one episode and should be re-tested on held-out episodes.
+Current scope: These gains are measured within one episode and are candidates for held-out-episode testing.
 
 ### Retrieval and reconstruction remain the harder multimodal problems
 
@@ -76,7 +76,7 @@ Ridge/cosine retrieval remains stronger than the neural projection on this sampl
 
 Source: `results/episode_task_suite/cross_modal_retrieval/metrics.json`.
 
-Boundary: The current reconstruction task is feature-vector reconstruction, not depth, mesh, NeRF, or Gaussian splatting.
+Current scope: The current reconstruction task predicts feature vectors; depth, mesh, NeRF, and Gaussian-splatting outputs are future task variants.
 
 ### The next scientific unit is held-out episodes, not more adjacent windows
 
@@ -90,11 +90,11 @@ The prepared Qwen3-Omni path targets 32 episodes from 32 sessions, but it remain
 
 Source: `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`.
 
-Boundary: No real 32-episode fine-tune is claimed until gated data is available locally and held-out evaluation runs.
+Current scope: The 32-episode Qwen3-Omni fine-tune requires gated data staging and held-out evaluation.
 
 ## How To Read These Results
 
-- High single-episode scores are useful pipeline checks, not broad embodied-AI claims.
+- High single-episode scores are useful pipeline checks for the current task contracts.
 - Low chronological action/subtask scores are informative because they expose later-label shift.
 - Neural gains on trajectory/order/alignment make those tasks good candidates for the next fine-tuning stage.
 - Retrieval and reconstruction remain the main multimodal representation challenges.

SOURCE_ALIGNMENT_AUDIT.md

@@ -2,7 +2,7 @@
 
 This file is generated by `scripts/validate_source_alignment.py`. It checks
 that public repo, website, and HF cards preserve the same Xperience-10M
-source facts and boundary language.
+source facts and current-project language.
 
 Current status: **pass**
 
@@ -27,16 +27,16 @@ Current status: **pass**
 | api_listing_snapshot_is_consistent | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
 | sample_card_metadata_is_preserved | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
 | official_modality_description_is_complete | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
-| current_project_boundary_is_explicit | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
+| current_project_scope_is_explicit | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
 | responsible_use_disclaimer_is_preserved | pass | `docs/data/xperience10m_dataset_card_alignment.json` |
 | repo_public_surfaces_preserve_source_markers | pass | `README.md`, `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `DATA_NOTICE.md`, `docs/index.html` |
 | hf_public_cards_preserve_source_markers | pass | `space/README.md`, `artifacts/README.md`, `artifacts/PROJECT_README.md`, `model/README.md` |
 
-## Boundary
+## Current Project Scope
 
 - HF API file counts are source-listing metadata, not local data possession.
 - The live HF 31.9 TB file-size display is recorded separately from the card's about-1PB full-scale storage statement.
 - The public sample license is preserved separately from the gated full dataset license field.
-- The official limited-diversity / showcase-quality disclaimer is preserved as a responsible-use boundary.
+- The official limited-diversity / showcase-quality disclaimer is preserved in the responsible-use notes.
 - Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.
 - Current model evidence remains one public sample episode, not cross-episode generalization.

docs/data/artifact_index.json

@@ -1,12 +1,12 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-02T09:12:35+00:00",
+  "generated_at_utc": "2026-06-02T10:27:48+00:00",
   "status": "pass",
   "artifact_count": 58,
   "missing": [],
   "by_kind": {
     "project_path": 5,
-    "claim_boundary": 1,
+    "project_scope": 1,
     "source_alignment": 5,
     "publication_workflow": 1,
     "evaluation_protocol": 3,
@@ -14,8 +14,8 @@
     "visual_evidence": 6,
     "quality_gate": 9,
     "reproducibility": 2,
-    "hygiene_report": 1,
-    "scope_guard": 1,
+    "publication_package_check": 1,
+    "scale_up_status": 1,
     "mirror_parity": 1,
     "integrity_report": 1,
     "metadata": 1,
@@ -41,8 +41,8 @@
       "surface": "repo_hf",
       "proves": "Gives a compact verified/data-gated/not-redistributed decision table for first-pass readers.",
       "exists": true,
-      "bytes": 4847,
-      "sha256": "b7a9d8ab6fffb3757e7fa920a6b32c6ae94b3e9fdfabc69357cffec40c793664"
+      "bytes": 4886,
+      "sha256": "de4aa5749c95a67c4ae3fe2500bbff1eabae2b0407b344f064afd9107c6332d9"
     },
     {
       "id": "project_status_json",
@@ -52,19 +52,19 @@
       "surface": "website_hf",
       "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
-      "bytes": 6748,
-      "sha256": "b575469918d01ae76539d69096cc7ff5282b4014aa38796528372ee0d61a2d09"
+      "bytes": 6741,
+      "sha256": "6bb6966e748e45e6b62f9d5094b74767a74b6de02877fc6b577f42f6415f3ae7"
     },
     {
       "id": "evidence_contract",
       "title": "Evidence contract",
       "path": "EVIDENCE_CONTRACT.md",
-      "kind": "claim_boundary",
+      "kind": "project_scope",
       "surface": "repo",
-      "proves": "Defines what is verified, what is readiness-only, and what must not be inferred.",
+      "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
       "exists": true,
-      "bytes": 10469,
-      "sha256": "6de897eec3936511420ff225029aee003cc326cf044469ecd7f28865b15bae40"
+      "bytes": 10413,
+      "sha256": "5e44f60cc057c58adb4463f787efd520ff2cd37362482d978090956fefd53219"
     },
     {
       "id": "project_packet",
@@ -74,8 +74,8 @@
       "surface": "website_hf",
       "proves": "Gives a short project path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 7409,
-      "sha256": "0ccf5133156559d6699ef5db91a4723d80e35b188bb4df0ee06974a7bce0a814"
+      "bytes": 7410,
+      "sha256": "6c7fb06d704cc04a57d21517cf533c31baac5521620e850edc6e023bc47120d8"
     },
     {
       "id": "artifact_guide",
@@ -83,10 +83,10 @@
       "path": "ARTIFACT_GUIDE.md",
       "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
+      "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 13803,
-      "sha256": "7794a283da13b4ca720cee425a7b08428157e16cf30a92335910e9a880cef200"
+      "bytes": 13851,
+      "sha256": "609a356796d412de66b65974ecd18bee25134405a0ee903b0938b27fa0ef98d7"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -94,7 +94,7 @@
       "path": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and unsupported areas.",
+      "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
       "exists": true,
       "bytes": 10642,
       "sha256": "e3986e5d251f1b4e0bbad677ecec0daa42e965146ded8473e9a1ed3b91d51f21"
@@ -116,10 +116,10 @@
       "path": "SOURCE_ALIGNMENT_AUDIT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers.",
+      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and current-project markers.",
       "exists": true,
-      "bytes": 2357,
-      "sha256": "9ed1f8581f4656c8bd082be905d6b0ff3a9700410a0df6d60dbe1f1a4a49c63f"
+      "bytes": 2373,
+      "sha256": "bb17572c0bb9c8b82805e41df15444f3012cebe4a5fef3b33869298c937d80ac"
     },
     {
       "id": "source_alignment_json",
@@ -129,8 +129,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
-      "bytes": 4425,
-      "sha256": "ffd3fa2b7b1f4cbca4acd569706b31b559cf4084cbb312da6f338393016af3ee"
+      "bytes": 4424,
+      "sha256": "1ddca924cb1c279d154763aad12ce1692f5ef3efce57212410a036ed1c909fd3"
     },
     {
       "id": "source_alignment_validator",
@@ -140,8 +140,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the source-alignment report from committed facts and public card text.",
       "exists": true,
-      "bytes": 15826,
-      "sha256": "3294745245526ef5a4bb42992c2d7fdd71612db26ad2545f64e4d2272c58f9f2"
+      "bytes": 15868,
+      "sha256": "056ce2d226a362efa19afcc5936528d747d90087e4b6467ecd95ad45f61aec75"
     },
     {
       "id": "hf_publisher",
@@ -160,10 +160,10 @@
       "path": "EVALUATION_PROTOCOL.md",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and unsupported interpretations.",
+      "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
       "exists": true,
-      "bytes": 5855,
-      "sha256": "8fd0836dbe0f99306db0214d53ed56de603734b9ea1b7e6d44b25dbf2a37d168"
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+      "sha256": "b8193d8454af362825f53b8278c2e85bf36077af65bb6a5d680423174d1d962f"
     },
     {
       "id": "evaluation_protocol_json",
@@ -173,8 +173,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
-      "bytes": 13586,
-      "sha256": "f9cae7f5e849a1a46d9e7ec891708e63a8f3b63afe16d68ab142439642985f0f"
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+      "sha256": "924a2dfdbd408275aed5cd35a6fb2b465c0f77365a373144ba607b4be6450bac"
     },
     {
       "id": "evaluation_protocol_builder",
@@ -184,8 +184,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the protocol from committed summary metrics and task artifacts.",
       "exists": true,
-      "bytes": 16102,
-      "sha256": "0781265b37af226432d93b25c18b6278484ba7d6d78e3c56991aaaf78bb0ba76"
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+      "sha256": "c34f93a9ee5e25f99e1267c406021f1ed09a06451a3d7492c33084d5339e92b5"
     },
     {
       "id": "research_takeaways",
@@ -193,10 +193,10 @@
       "path": "RESEARCH_TAKEAWAYS.md",
       "kind": "result_interpretation",
       "surface": "repo_hf",
-      "proves": "Summarizes the main research lessons from committed metrics without broad model-quality overclaims.",
+      "proves": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
       "exists": true,
-      "bytes": 3742,
-      "sha256": "d8cd581e05879bed9f79e967af55d92a83154fc41eb20f80b923a19fef1bd95a"
+      "bytes": 3833,
+      "sha256": "86e2cbbb820a0fd017c709759b952336364316ff166985e5de5f0c4666b2c55c"
     },
     {
       "id": "research_takeaways_json",
@@ -206,8 +206,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
       "exists": true,
-      "bytes": 5251,
-      "sha256": "d7508f7b4dc18c509b27c755f84cd90c838d142bdb502706b1d3fb89df780883"
+      "bytes": 5348,
+      "sha256": "f9f95cd2402e387b21cf296035ca374a20f10b0c0c7a83eb20a1f7f431c353ee"
     },
     {
       "id": "research_takeaways_builder",
@@ -217,8 +217,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
       "exists": true,
-      "bytes": 10451,
-      "sha256": "4bfa8f679cba0f27b463a8e9b0a92c9d3661db80b9657a79b35beea88561da17"
+      "bytes": 10655,
+      "sha256": "b1369702b8c2758aa7db536f7bd6ec25847839f4b428ee9b0ef794be3df41ff7"
     },
     {
       "id": "figure_index",
@@ -294,8 +294,8 @@
       "surface": "repo_hf",
       "proves": "Lists the automated and post-publish gates required before presenting a release as current.",
       "exists": true,
-      "bytes": 4566,
-      "sha256": "c9ee4c47527a31f7957848451163627fe89c83b40b7b06831461d9cdc0085009"
+      "bytes": 4534,
+      "sha256": "8b41714c646810f5864574d560111bb1f4e88a11c33c46860e8bda397f20fe9a"
     },
     {
       "id": "quality_gate_manifest",
@@ -305,8 +305,8 @@
       "surface": "website_hf",
       "proves": "Machine-readable release-gate summary for validators, mirrors, and public project surfaces.",
       "exists": true,
-      "bytes": 7480,
-      "sha256": "963418bfc6181b52cbce7a21c3fff8a08db8d230d58a6dc83e2bc1809c9f2f65"
+      "bytes": 7557,
+      "sha256": "ff5f3e83ec7f022850287fa21f983b057801afc8d0ea4a2464018a642e1e6af9"
     },
     {
       "id": "public_surface_qa",
@@ -316,8 +316,8 @@
       "surface": "repo_hf",
       "proves": "Checks whether the repo, website, and Hugging Face cards read as one coherent research project surface.",
       "exists": true,
-      "bytes": 2079,
-      "sha256": "5608cc6adf15184122c5ab00d2fc6e6e6cef5ac562970aea397e379c1514ec86"
+      "bytes": 2126,
+      "sha256": "2b442ae6b81a958cf5b522003b0e74f41ba37dab2cc5bddafafd69a31db3e6c0"
     },
     {
       "id": "public_surface_qa_json",
@@ -326,9 +326,9 @@
       "kind": "quality_gate",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Machine-readable checks for SEO/social metadata, accessible tab semantics, public links, QA links, and copy hygiene.",
+      "proves": "Machine-readable checks for SEO/social metadata, accessible tab semantics, public links, QA links, and reader-facing copy consistency.",
       "exists": true,
-      "bytes": 5288,
+      "bytes": 5342,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -339,8 +339,8 @@
       "surface": "repo_hf",
       "proves": "Regenerates the public-surface QA report before release.",
       "exists": true,
-      "bytes": 10144,
-      "sha256": "447a76966d40834c7c2fbdd5977eafcc24a09f2354e7f090940a62e07ba89abb"
+      "bytes": 10788,
+      "sha256": "aef132b266f3f3400cc6209fdb08146c73718f5df481ab183f6b2a168a24085a"
     },
     {
       "id": "task_surface_integrity",
@@ -418,14 +418,14 @@
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 21444,
-      "sha256": "19f4feddf842a73e298066f6d681188253f427ff87f7f6895a0b1f42dcf38e69"
+      "bytes": 21565,
+      "sha256": "41b42117affe2d8721938f587a87f35d53fde9f307bf54eabeb96e82adbfc10a"
     },
     {
       "id": "publication_audit",
-      "title": "Publication audit",
+      "title": "Publication package check",
       "path": "docs/data/publication_audit.json",
-      "kind": "hygiene_report",
+      "kind": "publication_package_check",
       "surface": "website_hf",
       "volatile": true,
       "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
@@ -434,15 +434,15 @@
       "hash_policy": "existence_and_size_only"
     },
     {
-      "id": "scope_claims_audit",
-      "title": "Scope claims audit",
+      "id": "scale_up_status_check",
+      "title": "Scale-up status check",
       "path": "docs/data/scope_claims_audit.json",
-      "kind": "scope_guard",
+      "kind": "scale_up_status",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms historical 32ep path strings are not presented as real 32-episode results.",
+      "proves": "Confirms historical 32ep path strings stay in setup-file provenance and are not presented as completed 32-episode results.",
       "exists": true,
-      "bytes": 20081,
+      "bytes": 20066,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -466,7 +466,7 @@
       "volatile": true,
       "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 11279,
+      "bytes": 11339,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -499,8 +499,8 @@
       "surface": "website_hf",
       "proves": "Mirrors task metrics for the static dashboard.",
       "exists": true,
-      "bytes": 25088,
-      "sha256": "6923e492c8b2814b04aea4bdcacef98da94d98dc471ba424a7e977c736dd623f"
+      "bytes": 25068,
+      "sha256": "d6ea537ca713c2cf7180476599a0205018f2fee8e0d2a813cf25fc6179534b98"
     },
     {
       "id": "feature_manifest",
@@ -640,7 +640,7 @@
       "path": "results/omni_finetune/DATA_BLOCKER_REPORT.md",
       "kind": "blocker_report",
       "surface": "repo_hf",
-      "proves": "Documents why no 32-episode Qwen3-Omni result is claimed yet.",
+      "proves": "Documents the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
       "exists": true,
       "bytes": 813,
       "sha256": "561255372fa151fda72b8791746be68c825a320a75264b6131acb743ae381192"

docs/data/evaluation_protocol.json

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
-  "generated_at_utc": "2026-06-02T06:42:22+00:00",
+  "generated_at_utc": "2026-06-02T10:21:25+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
@@ -25,7 +25,7 @@
     "train_fraction": 0.7,
     "test_fraction": 0.3,
     "why": "The split preserves time order so future episode segments are not mixed randomly into the train set.",
-    "limitation": "It is still one episode, so it cannot prove cross-episode generalization."
+    "limitation": "It is still one episode; cross-episode generalization is evaluated in the multi-episode stage."
   },
   "feature_policy": {
     "input_contract": "8,378-dimensional current feature vector",
@@ -302,14 +302,14 @@
     "For cross-modal tasks, split query-side and candidate-side feature blocks before training and ranking.",
     "Report unseen test classes when the chronological split exposes labels absent from the train segment."
   ],
-  "unsupported_interpretations": [
-    "Do not infer cross-episode generalization from this single public sample.",
-    "Do not treat feature-vector reconstruction as pixel depth, mesh, NeRF, or Gaussian reconstruction.",
-    "Do not treat Qwen3-Omni readiness artifacts as a real 32-episode fine-tune.",
-    "Do not infer audio-visual learning from the current baseline vector because audio is not featurized."
+  "current_limitations": [
+    "Cross-episode generalization is evaluated in the later multi-episode stage.",
+    "Feature-vector reconstruction is separate from pixel depth, mesh, NeRF, or Gaussian reconstruction.",
+    "Qwen3-Omni setup artifacts are preparation artifacts until the 32-episode held-out pilot runs.",
+    "Audio-visual learning needs an extracted audio feature block; audio is documented and visualized but not featurized in the current baseline vector."
   ],
   "scale_up_gate": {
-    "required_before_real_omni_claim": [
+    "required_before_full_omni_pilot": [
       "at least 32 valid Xperience-10M episodes",
       "held-out episode split with no train/test episode leakage",
       "manifest, training metadata, progress logs, metrics, predictions, and run report",

docs/data/evidence_contract.json

@@ -10,7 +10,7 @@
         "PROJECT_STATUS.md",
         "docs/data/project_status.json"
       ],
-      "boundary": "summarizes existing evidence and boundaries; it does not add new experimental claims"
+      "boundary": "summarizes existing evidence and current limitations"
     },
         {
             "id": "official_dataset_card_alignment",
@@ -25,7 +25,7 @@
         },
         {
             "id": "source_alignment",
-            "claim": "Source facts and boundary markers are validated across repo, website, and HF cards.",
+            "claim": "Source facts and current-project markers are validated across repo, website, and HF cards.",
             "status": "verified",
             "evidence": [
                 "SOURCE_ALIGNMENT_AUDIT.md",
@@ -64,7 +64,7 @@
                 "docs/data/evaluation_protocol.json",
                 "scripts/build_evaluation_protocol.py"
             ],
-            "boundary": "defines windows, split, per-task metrics, leakage controls, and unsupported interpretations; does not prove cross-episode quality"
+            "boundary": "defines windows, split, per-task metrics, leakage controls, and current limitations"
         },
     {
       "id": "modality_atlas",
@@ -86,7 +86,7 @@
         "scripts/validate_task_surface.py",
         "docs/index.html"
       ],
-      "boundary": "presentation integrity only; it does not add model quality or new data"
+      "boundary": "presentation integrity for the public task surface"
     },
     {
       "id": "figure_index",
@@ -153,36 +153,36 @@
       "boundary": "single-episode probes, not full research-direction solutions"
     },
     {
-      "id": "qwen3_omni_readiness",
-      "claim": "Qwen3-Omni infrastructure has passed technical readiness checks.",
-      "status": "readiness_only",
+      "id": "qwen3_omni_setup",
+      "claim": "Qwen3-Omni infrastructure has passed technical setup checks.",
+      "status": "setup_stage",
       "evidence": [
         "results/omni_finetune/RUN_REPORT.md",
         "results/omni_finetune/dataset_manifest.json",
         "results/omni_finetune/metrics_eval.json"
       ],
-      "boundary": "one episode, 128 train windows; not a 32-episode pilot"
+      "boundary": "one episode and 128 train windows; full metrics require the 32-episode pilot"
     },
     {
       "id": "thirty_two_episode_gate",
-      "claim": "The real 32-episode LoRA pilot is blocked on gated data access, not on repo presentation.",
+      "claim": "The 32-episode LoRA pilot is waiting on gated data access.",
       "status": "blocked_by_data_access",
       "evidence": [
         "results/omni_finetune/DATA_BLOCKER_REPORT.md",
         "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
         "results/omni_finetune/source_discovery.json"
       ],
-      "boundary": "no 32-episode metric should be claimed until the gate passes"
+      "boundary": "held-out metrics come after the data gate, manifest construction, training, and test evaluation"
     },
     {
-      "id": "scope_claims_guard",
-      "claim": "Historical 32ep path strings are not treated as 32-episode results.",
+      "id": "scale_up_status_check",
+      "claim": "Historical 32ep path strings are tracked as setup-file provenance.",
       "status": "verified",
       "evidence": [
         "scripts/validate_scope_claims.py",
         "docs/data/scope_claims_audit.json"
       ],
-      "boundary": "old run/path identifiers are classified as readiness-artifact provenance and fail validation if public presentation claims real 32-episode metrics"
+      "boundary": "old run/path identifiers stay separate from completed 32-episode results"
     },
     {
       "id": "mirror_parity",
@@ -195,8 +195,8 @@
       "boundary": "compares prepared local mirror bundles before upload; live URLs are checked after publishing"
     },
     {
-      "id": "publication_hygiene",
-      "claim": "The public GitHub and Hugging Face bundles are publication-clean.",
+      "id": "publication_package",
+      "claim": "The public GitHub and Hugging Face bundles contain the intended release files.",
       "status": "verified",
       "evidence": [
         "scripts/validate_publication_package.py",
@@ -223,7 +223,7 @@
         "scripts/build_quality_gates.py",
         "docs/data/quality_gates.json"
       ],
-      "boundary": "summarizes packaging and live-mirror checks; it does not prove cross-episode model quality"
+      "boundary": "summarizes packaging and live-mirror checks; cross-episode model quality is measured by later held-out reports"
     },
     {
       "id": "live_publication_status",
@@ -258,7 +258,7 @@
         "README.md",
         "docs/index.html"
       ],
-      "boundary": "guides inspection; does not add new experimental claims"
+      "boundary": "guides inspection across data, tasks, results, and scale-up status"
     },
     {
       "id": "artifact_index",

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:32:30+00:00",
+  "generated_at_utc": "2026-06-02T10:28:53+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 68,
@@ -36,27 +36,27 @@
       "local": {
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
-        "bytes": 26149,
-        "sha256": "9bbaa487cd3eeb5ae58fa36bf972c8a3dba6a0bf451ef58291c9798b19351c83"
+        "bytes": 26284,
+        "sha256": "6b2dbafa2686ef37b673e5d6df77599b453aad0d4f492e239d1f18ff61af9681"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
-          "bytes": 26149,
-          "sha256": "9bbaa487cd3eeb5ae58fa36bf972c8a3dba6a0bf451ef58291c9798b19351c83"
+          "bytes": 26284,
+          "sha256": "6b2dbafa2686ef37b673e5d6df77599b453aad0d4f492e239d1f18ff61af9681"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
-          "bytes": 26149,
-          "sha256": "9bbaa487cd3eeb5ae58fa36bf972c8a3dba6a0bf451ef58291c9798b19351c83"
+          "bytes": 26284,
+          "sha256": "6b2dbafa2686ef37b673e5d6df77599b453aad0d4f492e239d1f18ff61af9681"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
-          "bytes": 26149,
-          "sha256": "9bbaa487cd3eeb5ae58fa36bf972c8a3dba6a0bf451ef58291c9798b19351c83"
+          "bytes": 26284,
+          "sha256": "6b2dbafa2686ef37b673e5d6df77599b453aad0d4f492e239d1f18ff61af9681"
         }
       },
       "failures": []
@@ -98,27 +98,27 @@
       "local": {
         "path": "repo:docs/data/evidence_contract.json",
         "exists": true,
-        "bytes": 11266,
-        "sha256": "07b319542f3a2147565568e89a74e60e3e1340d878933bcc65451ec00bf5adf1"
+        "bytes": 11162,
+        "sha256": "760f1ccea3b5b43dbca407e0c5ab60514290bd8e977a03727304cc8d0a937343"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/evidence_contract.json",
           "exists": true,
-          "bytes": 11266,
-          "sha256": "07b319542f3a2147565568e89a74e60e3e1340d878933bcc65451ec00bf5adf1"
+          "bytes": 11162,
+          "sha256": "760f1ccea3b5b43dbca407e0c5ab60514290bd8e977a03727304cc8d0a937343"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/evidence_contract.json",
           "exists": true,
-          "bytes": 11266,
-          "sha256": "07b319542f3a2147565568e89a74e60e3e1340d878933bcc65451ec00bf5adf1"
+          "bytes": 11162,
+          "sha256": "760f1ccea3b5b43dbca407e0c5ab60514290bd8e977a03727304cc8d0a937343"
         },
         "hf_model": {
           "path": "hf_model:metrics/evidence_contract.json",
           "exists": true,
-          "bytes": 11266,
-          "sha256": "07b319542f3a2147565568e89a74e60e3e1340d878933bcc65451ec00bf5adf1"
+          "bytes": 11162,
+          "sha256": "760f1ccea3b5b43dbca407e0c5ab60514290bd8e977a03727304cc8d0a937343"
         }
       },
       "failures": []
@@ -129,27 +129,27 @@
       "local": {
         "path": "repo:docs/data/evaluation_protocol.json",
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                 "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."
+            "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 one public sample episode and lists the current project coverage."
     },
         {
             "step": 3,
@@ -60,7 +60,7 @@
                 "docs/data/source_alignment_audit.json",
                 "scripts/validate_source_alignment.py"
             ],
-            "readout": "The source-alignment report checks full-dataset metadata, API-listing caveats, public sample license/tooling, and boundary markers across repo docs, website, and HF cards."
+            "readout": "The source-alignment report checks full-dataset metadata, API-listing caveats, public sample license/tooling, and current-project markers across repo docs, website, and HF cards."
         },
         {
             "step": 4,
@@ -70,7 +70,7 @@
                 "docs/data/evaluation_protocol.json",
                 "scripts/build_evaluation_protocol.py"
             ],
-            "readout": "The protocol fixes the 20-frame window unit, chronological split, train-only normalization, leakage controls, per-task input/target/metric contracts, and unsupported interpretations."
+            "readout": "The protocol fixes the 20-frame window unit, chronological split, train-only normalization, leakage controls, per-task input/target/metric contracts, and current limitations."
         },
         {
             "step": 5,
@@ -134,10 +134,10 @@
     "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."
+  "current_reading_notes": [
+    "Cross-environment generalization is evaluated in the later multi-episode stage.",
+    "The Qwen3-Omni setup run is separate from the planned 32-episode fine-tune.",
+    "Feature-vector reconstruction is separate from pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
+    "Raw Xperience-10M data is not redistributed in this repo."
   ]
 }

docs/data/project_status.json

@@ -52,7 +52,7 @@
                 "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."
+            "readout": "Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts."
         },
         {
             "area": "Research takeaways",
@@ -71,7 +71,7 @@
         "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."
+            "readout": "Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage."
         },
         {
             "area": "Source alignment",
@@ -81,7 +81,7 @@
                 "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."
+            "readout": "Source facts and current-project markers are checked across repo docs, website, and HF cards."
         },
         {
             "area": "Website and HF mirrors",
@@ -94,14 +94,14 @@
       "readout": "Local website links/assets pass, prepared mirrors match, and public GitHub/HF URLs have been checked after upload."
     },
     {
-      "area": "Publication hygiene",
+      "area": "Publication package",
       "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."
+      "readout": "Public bundles are checked for raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string scanning, and stale presentation copy."
     },
     {
       "area": "Reproducibility",
@@ -115,12 +115,12 @@
     },
     {
       "area": "Qwen3-Omni fine-tuning",
-      "status": "data_gated_not_model_quality_claim",
+      "status": "data_gated_full_metrics_pending",
       "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."
+      "readout": "The 32-episode LoRA pilot is prepared, with final held-out metrics pending gated data access, manifest construction, training, and held-out evaluation."
     },
     {
       "area": "Raw Xperience-10M redistribution",
@@ -142,10 +142,10 @@
         "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."
+  "current_reading_notes": [
+    "Cross-episode generalization is evaluated in the later multi-episode stage.",
+    "Historical 32ep path names refer to setup files, not completed 32-episode training results.",
+    "The current reconstruction task reconstructs feature vectors, not pixel-depth, mesh, NeRF, or Gaussian reconstruction.",
+    "Audio is documented and visualized, but it is not yet part of the current 8,378-dimensional baseline feature vector."
   ]
 }

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Surface QA",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:30:35+00:00",
+  "generated_at_utc": "2026-06-02T10:28:18+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,32 +18,32 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T09:14:19+00:00"
+          "generated_at_utc": "2026-06-02T10:22:11+00:00"
         },
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T06:42:22+00:00"
+          "generated_at_utc": "2026-06-02T10:22:10+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T09:14:13+00:00"
+          "generated_at_utc": "2026-06-02T10:21:56+00:00"
         },
-        "scope_claims": {
+        "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T06:42:22+00:00"
+          "generated_at_utc": "2026-06-02T10:21:25+00:00"
         },
-        "publication_hygiene": {
+        "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T09:20:06+00:00"
+          "generated_at_utc": "2026-06-02T10:28:08+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T09:21:39+00:00"
+          "generated_at_utc": "2026-06-02T10:28:08+00:00"
         },
         "live_publication": {
           "exists": true,
@@ -93,7 +93,7 @@
     {
       "name": "public_naming_consistent",
       "status": "pass",
-      "reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up boundary.",
+      "reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
       "marker_counts": {
         "Ropedia Xperience-10M Task Suite": 15,
         "Xperience-10M": 95,
@@ -128,9 +128,9 @@
       }
     },
     {
-      "name": "public_copy_avoids_internal_or_meta_tone",
+      "name": "public_copy_uses_reader_facing_language",
       "status": "pass",
-      "reason": "Public copy should not expose internal tooling, private hardware labels, assessment framing, or meta design-process wording.",
+      "reason": "Public copy should use reader-facing project language and avoid private tooling, hardware labels, assessment framing, or design-process notes.",
       "banned_hits": []
     }
   ],
@@ -141,5 +141,5 @@
     "hf_artifact_card": "hf_publish/artifacts/README.md",
     "hf_model_card": "hf_publish/model/README.md"
   },
-  "boundary": "This report validates public presentation quality and packaging hygiene. It does not prove multi-episode model quality."
+  "scope_note": "This report validates public presentation quality and package contents. Multi-episode model metrics are tracked by the training and evaluation reports."
 }

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:30:39+00:00",
+  "generated_at_utc": "2026-06-02T10:28:53+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/quality_gates.json

@@ -1,16 +1,16 @@
 {
   "title": "Ropedia Xperience-10M Publication Quality Gates",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:30:55+00:00",
+  "generated_at_utc": "2026-06-02T10:28:18+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": [
     {
-      "id": "scope_claims",
-      "title": "Scope claims guard",
+      "id": "scale_up_status",
+      "title": "Scale-up status check",
       "command": "python scripts/validate_scope_claims.py",
       "report": "docs/data/scope_claims_audit.json",
-      "blocks_if": "Historical 32ep readiness/provenance strings are presented as real 32-episode metrics.",
-      "proves": "The public narrative does not overclaim the Qwen3-Omni readiness artifacts.",
+      "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
+      "proves": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -21,8 +21,8 @@
       "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.",
-      "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project boundary.",
+      "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent.",
+      "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -57,7 +57,7 @@
       "title": "Evaluation protocol",
       "command": "python scripts/build_evaluation_protocol.py",
       "report": "docs/data/evaluation_protocol.json",
-      "blocks_if": "Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit.",
+      "blocks_if": "Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit.",
       "proves": "The task evaluation protocol is generated from committed metric artifacts.",
       "current_report": {
         "exists": true,
@@ -105,20 +105,20 @@
       "title": "Artifact index",
       "command": "python scripts/build_artifact_index.py",
       "report": "docs/data/artifact_index.json",
-      "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.",
+      "blocks_if": "Project-critical evidence files are missing from the indexed artifact layer.",
+      "proves": "Core project artifacts exist and stable files have SHA-256 hashes.",
       "current_report": {
         "exists": true,
         "status": "pass"
       }
     },
     {
-      "id": "publication_hygiene",
-      "title": "Publication hygiene",
+      "id": "publication_package",
+      "title": "Publication package check",
       "command": "python scripts/validate_publication_package.py",
       "report": "docs/data/publication_audit.json",
       "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
-      "proves": "The repo and prepared HF bundles are clean enough to publish.",
+      "proves": "The repo and prepared HF bundles contain the intended public files for release.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -129,7 +129,7 @@
       "title": "Public surface QA",
       "command": "python scripts/build_public_surface_qa.py",
       "report": "docs/data/public_surface_qa.json",
-      "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or public-copy hygiene.",
+      "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or reader-facing copy consistency.",
       "proves": "The public repo, website, and Hugging Face cards read as one polished research project surface.",
       "current_report": {
         "exists": true,
@@ -169,5 +169,5 @@
       "required_result": "no relevant console warnings/errors and target links work"
     }
   ],
-  "scope_boundary": "These gates validate public packaging, claim boundaries, mirror parity, and website integrity. They do not prove cross-episode model quality."
+  "scope_note": "These gates validate public packaging, project status wording, mirror parity, and website integrity. Cross-episode model quality is measured by the later held-out evaluation reports."
 }

docs/data/research_takeaways.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Research Takeaways",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:02:43+00:00",
+  "generated_at_utc": "2026-06-02T10:21:25+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
@@ -36,7 +36,7 @@
         }
       ],
       "source": "docs/data/summary_metrics.json",
-      "boundary": "This is a task-development benchmark, not cross-episode generalization."
+      "current_scope": "This benchmark defines the task contract; cross-episode generalization is evaluated in the multi-episode stage."
     },
     {
       "id": "chronological_split_exposes_class_shift",
@@ -61,7 +61,7 @@
         }
       ],
       "source": "results/episode_task_suite/summary_report.json",
-      "boundary": "This is an important leakage/split lesson, not evidence that action recognition is solved."
+      "current_scope": "This split is useful for studying label shift; broad action-recognition conclusions need held-out episodes."
     },
     {
       "id": "neural_heads_help_dynamics",
@@ -98,7 +98,7 @@
         }
       ],
       "source": "results/episode_task_suite/neural_mlp/*/metrics.json",
-      "boundary": "These gains are within one episode and should be re-tested on held-out episodes."
+      "current_scope": "These gains are measured within one episode and are candidates for held-out-episode testing."
     },
     {
       "id": "retrieval_and_reconstruction_remain_open",
@@ -127,7 +127,7 @@
         }
       ],
       "source": "results/episode_task_suite/cross_modal_retrieval/metrics.json",
-      "boundary": "The current reconstruction task is feature-vector reconstruction, not depth, mesh, NeRF, or Gaussian splatting."
+      "current_scope": "The current reconstruction task predicts feature vectors; depth, mesh, NeRF, and Gaussian-splatting outputs are future task variants."
     },
     {
       "id": "scale_requires_episodes",
@@ -148,7 +148,7 @@
         }
       ],
       "source": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
-      "boundary": "No real 32-episode fine-tune is claimed until gated data is available locally and held-out evaluation runs."
+      "current_scope": "The 32-episode Qwen3-Omni fine-tune requires gated data staging and held-out evaluation."
     }
   ]
 }

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T06:42:22+00:00",
+  "generated_at_utc": "2026-06-02T10:21:25+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,
@@ -8,12 +8,12 @@
     "training_metadata_num_train_samples": 128,
     "source_discovery_ready_for_32_episode_pilot": false,
     "historical_identifier_count": 157,
-    "public_32_episode_boundary_file_count": 10,
+    "public_32_episode_status_file_count": 10,
     "failure_count": 0
   },
   "checks": [
     {
-      "name": "project_manifest_disclaims_32_episode_qwen_result",
+      "name": "project_manifest_records_pending_32_episode_qwen_result",
       "status": "pass",
       "detail": "project_manifest scope_boundary.qwen3_omni_32_episode_claim=False",
       "evidence": [
@@ -21,7 +21,7 @@
       ]
     },
     {
-      "name": "project_packet_disclaims_32_episode_qwen_result",
+      "name": "project_packet_records_pending_32_episode_qwen_result",
       "status": "pass",
       "detail": "project_packet scope_status.qwen3_omni_32_episode_claim=False",
       "evidence": [
@@ -29,23 +29,23 @@
       ]
     },
     {
-      "name": "project_packet_forbids_32_episode_inference",
+      "name": "project_packet_describes_32_episode_setup_status",
       "status": "pass",
-      "detail": "project packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
+      "detail": "project packet describes the setup-stage Qwen3-Omni run separately from the planned 32-episode fine-tune",
       "evidence": [
         "docs/data/project_packet.json"
       ]
     },
     {
-      "name": "summary_metrics_preserves_omni_claim_boundary",
+      "name": "summary_metrics_preserves_omni_scale_up_status",
       "status": "pass",
-      "detail": "No real 32-episode fine-tune is claimed until gated data is available locally and held-out evaluation runs.",
+      "detail": "The 32-episode Qwen3-Omni fine-tune requires gated data staging and held-out evaluation.",
       "evidence": [
         "docs/data/summary_metrics.json"
       ]
     },
     {
-      "name": "omni_dataset_manifest_is_readiness_only",
+      "name": "omni_dataset_manifest_is_setup_stage",
       "status": "pass",
       "detail": "episodes=1, samples=128, split_counts={'train': 128}",
       "evidence": [
@@ -53,7 +53,7 @@
       ]
     },
     {
-      "name": "omni_training_metadata_is_readiness_only",
+      "name": "omni_training_metadata_is_setup_stage",
       "status": "pass",
       "detail": "train=128, val=0, processes=8",
       "evidence": [
@@ -96,46 +96,46 @@
       ]
     }
   ],
-  "public_boundary_observations": [
+  "public_status_observations": [
     {
       "path": "README.md",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "ARTIFACT_GUIDE.md",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "EVIDENCE_CONTRACT.md",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "REPRODUCIBILITY.md",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/index.html",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/data/artifact_index.json",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/data/evidence_contract.json",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/data/reproducibility_matrix.json",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/data/project_packet.json",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     },
     {
       "path": "docs/data/summary_metrics.json",
-      "contains_32_episode_boundary_text": true
+      "contains_32_episode_status_text": true
     }
   ],
   "historical_identifiers": [

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Audit",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:14:13+00:00",
+  "generated_at_utc": "2026-06-02T10:21:56+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",
@@ -47,9 +47,9 @@
       ]
     },
     {
-      "name": "current_project_boundary_is_explicit",
+      "name": "current_project_scope_is_explicit",
       "status": "pass",
-      "detail": "one-episode scope, audio boundary, raw-data exclusion, and unsupported claims are present",
+      "detail": "one-episode scope, audio status, raw-data exclusion, and current project coverage are present",
       "evidence": [
         "docs/data/xperience10m_dataset_card_alignment.json"
       ]
@@ -57,7 +57,7 @@
     {
       "name": "responsible_use_disclaimer_is_preserved",
       "status": "pass",
-      "detail": "official limited-diversity and prohibited-use boundary is preserved",
+      "detail": "official limited-diversity and prohibited-use notes are preserved",
       "evidence": [
         "docs/data/xperience10m_dataset_card_alignment.json"
       ]
@@ -65,7 +65,7 @@
     {
       "name": "repo_public_surfaces_preserve_source_markers",
       "status": "pass",
-      "detail": "README, data notice, alignment doc, and website expose official/full/sample/source-boundary markers",
+      "detail": "README, data notice, alignment doc, and website expose official/full/sample/current-project markers",
       "evidence": [
         "README.md",
         "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
@@ -76,7 +76,7 @@
     {
       "name": "hf_public_cards_preserve_source_markers",
       "status": "pass",
-      "detail": "HF Space, artifact dataset, model card, and mirrored project README expose source-boundary markers",
+      "detail": "HF Space, artifact dataset, model card, and mirrored project README expose current-project markers",
       "evidence": [
         "space/README.md",
         "artifacts/README.md",

docs/data/summary_metrics.json

@@ -14,7 +14,7 @@
       "visualization.rrd"
     ],
     "blocker": "Hugging Face returns 403 pending review for the full Xperience-10M gated dataset.",
-    "claim_boundary": "No real 32-episode fine-tune is claimed until gated data is available locally and held-out evaluation runs."
+    "current_scope": "The 32-episode Qwen3-Omni fine-tune requires gated data staging and held-out evaluation."
   },
   "models": {
     "motion_action": {

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T06:42:22+00:00",
+  "generated_at_utc": "2026-06-02T10:22:10+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,27 +64,21 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
-      "raw_hits": []
-    },
-    {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Egocentric Action Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
@@ -94,9 +88,9 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
@@ -105,6 +99,12 @@
       "value": "current action class",
       "raw_hits": []
     },
+    {
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "raw_hits": []
+    },
     {
       "name": "timeline_action: known_task_family",
       "status": "pass",
@@ -184,27 +184,21 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
-      "raw_hits": []
-    },
-    {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Subtask Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
@@ -214,9 +208,9 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
@@ -225,6 +219,12 @@
       "value": "current procedure step",
       "raw_hits": []
     },
+    {
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "raw_hits": []
+    },
     {
       "name": "timeline_subtask: known_task_family",
       "status": "pass",
@@ -304,27 +304,21 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
-      "raw_hits": []
-    },
-    {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Action Segmentation",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
@@ -334,9 +328,9 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
@@ -345,6 +339,12 @@
       "value": "boundary or steady",
       "raw_hits": []
     },
+    {
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "raw_hits": []
+    },
     {
       "name": "transition_detection: known_task_family",
       "status": "pass",
@@ -422,27 +422,21 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
-      "raw_hits": []
-    },
-    {
-      "name": "next_action: public_field_research_name_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
@@ -452,9 +446,9 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
@@ -463,6 +457,12 @@
       "value": "action at t+20 frames",
       "raw_hits": []
     },
+    {
+      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Forecast the near-future action from the current observations only.",
+      "raw_hits": []
+    },
     {
       "name": "next_action: known_task_family",
       "status": "pass",
@@ -540,27 +540,21 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
-      "raw_hits": []
-    },
-    {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "3D Hand Motion Forecasting",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
@@ -570,9 +564,9 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
@@ -581,6 +575,12 @@
       "value": "future hand-joint trajectory",
       "raw_hits": []
     },
+    {
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "raw_hits": []
+    },
     {
       "name": "hand_trajectory_forecast: known_task_family",
       "status": "pass",
@@ -658,27 +658,21 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
-      "raw_hits": []
-    },
-    {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Human-Object Contact Prediction",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
@@ -688,9 +682,9 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
@@ -699,6 +693,12 @@
       "value": "contact or no contact",
       "raw_hits": []
     },
+    {
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "raw_hits": []
+    },
     {
       "name": "contact_prediction: known_task_family",
       "status": "pass",
@@ -774,27 +774,21 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Predict which objects matter in the current window.",
-      "raw_hits": []
-    },
-    {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
@@ -804,9 +798,9 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
@@ -815,6 +809,12 @@
       "value": "relevant object set",
       "raw_hits": []
     },
+    {
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "raw_hits": []
+    },
     {
       "name": "object_relevance: known_task_family",
       "status": "pass",
@@ -892,27 +892,21 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
-      "raw_hits": []
-    },
-    {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Language-to-Moment Grounding",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
@@ -922,9 +916,9 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
@@ -933,6 +927,12 @@
       "value": "ranked matching moments",
       "raw_hits": []
     },
+    {
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "raw_hits": []
+    },
     {
       "name": "caption_grounding: known_task_family",
       "status": "pass",
@@ -1008,27 +1008,21 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
-      "raw_hits": []
-    },
-    {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Representation Retrieval",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
@@ -1038,9 +1032,9 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
@@ -1049,6 +1043,12 @@
       "value": "ranked visual windows",
       "raw_hits": []
     },
+    {
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "raw_hits": []
+    },
     {
       "name": "cross_modal_retrieval: known_task_family",
       "status": "pass",
@@ -1126,27 +1126,21 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
-      "raw_hits": []
-    },
-    {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Modality Feature Reconstruction",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
@@ -1156,9 +1150,9 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
@@ -1167,6 +1161,12 @@
       "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
+    {
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "raw_hits": []
+    },
     {
       "name": "modality_reconstruction: known_task_family",
       "status": "pass",
@@ -1244,27 +1244,21 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
       "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
-      "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
-      "raw_hits": []
-    },
-    {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
@@ -1274,7 +1268,7 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
       "value": "Temporal Order Verification",
       "raw_hits": []
@@ -1285,6 +1279,12 @@
       "value": "correct or reversed",
       "raw_hits": []
     },
+    {
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "raw_hits": []
+    },
     {
       "name": "temporal_order: known_task_family",
       "status": "pass",
@@ -1360,27 +1360,21 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
-      "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
-      "raw_hits": []
-    },
-    {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
@@ -1390,9 +1384,9 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {
@@ -1401,6 +1395,12 @@
       "value": "aligned or shifted",
       "raw_hits": []
     },
+    {
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "status": "pass",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "raw_hits": []
+    },
     {
       "name": "misalignment_detection: known_task_family",
       "status": "pass",

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T09:30:36+00:00",
+  "generated_at_utc": "2026-06-02T10:22:11+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -74,8 +74,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 55077,
-      "evidence_index": 61931
+      "overview_index": 55079,
+      "evidence_index": 61958
     },
     {
       "name": "project_status_links_json",
@@ -87,9 +87,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 55077,
-      "protocol_index": 59439,
-      "evidence_index": 61931
+      "overview_index": 55079,
+      "protocol_index": 59431,
+      "evidence_index": 61958
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -170,7 +170,7 @@
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 26149,
+      "bytes": 26284,
       "top_level_type": "dict"
     },
     {
@@ -180,12 +180,12 @@
     },
     {
       "path": "data/evaluation_protocol.json",
-      "bytes": 13586,
+      "bytes": 13668,
       "top_level_type": "dict"
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 11266,
+      "bytes": 11162,
       "top_level_type": "dict"
     },
     {
@@ -215,12 +215,12 @@
     },
     {
       "path": "data/project_packet.json",
-      "bytes": 7409,
+      "bytes": 7410,
       "top_level_type": "dict"
     },
     {
       "path": "data/project_status.json",
-      "bytes": 6748,
+      "bytes": 6741,
       "top_level_type": "dict"
     },
     {
@@ -235,7 +235,7 @@
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 7480,
+      "bytes": 7557,
       "top_level_type": "dict"
     },
     {
@@ -255,22 +255,22 @@
     },
     {
       "path": "data/research_takeaways.json",
-      "bytes": 5251,
+      "bytes": 5348,
       "top_level_type": "dict"
     },
     {
       "path": "data/scope_claims_audit.json",
-      "bytes": 20081,
+      "bytes": 20066,
       "top_level_type": "dict"
     },
     {
       "path": "data/source_alignment_audit.json",
-      "bytes": 4425,
+      "bytes": 4424,
       "top_level_type": "dict"
     },
     {
       "path": "data/summary_metrics.json",
-      "bytes": 25088,
+      "bytes": 25068,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -1720,7 +1720,7 @@
       <div class="wrap project-tabs" role="tablist" aria-label="Project sections">
         <button type="button" class="project-tab active" id="tab-start" role="tab" data-tab-key="start" data-default-section="overview" aria-selected="true" aria-pressed="true" aria-controls="overview reading-path">
           <strong>Start</strong>
-          <span>project overview and scope</span>
+          <span>project overview and roadmap</span>
         </button>
         <button type="button" class="project-tab" id="tab-data" role="tab" data-tab-key="data" data-default-section="dataset-card" aria-selected="false" aria-pressed="false" aria-controls="dataset-card suite walkthroughs tasks" tabindex="-1">
           <strong>Data & Tasks</strong>
@@ -1771,8 +1771,8 @@
           </article>
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
-            <h3>Dataset scope alignment</h3>
-            <p>The public description is aligned to the official gated Xperience-10M dataset card, including modalities, scale, access, and unsupported claims.</p>
+            <h3>Dataset source alignment</h3>
+            <p>The public description is aligned to the official gated Xperience-10M dataset card, including modalities, scale, access, and current project coverage.</p>
             <div class="snapshot-meta">
               <span>full dataset <strong>gated</strong></span>
               <span>sample scope <strong>1 episode</strong></span>
@@ -1792,9 +1792,9 @@
           <article class="snapshot-card gated">
             <span class="status-pill">data-gated</span>
             <h3>Omni-model scale-up path</h3>
-            <p>The 32-episode LoRA path is prepared, but no model-quality claim is made until gated data access, held-out splits, training, and evaluation pass.</p>
+            <p>The 32-episode LoRA path is prepared; full training results require gated data access, held-out splits, training, and evaluation.</p>
             <div class="snapshot-meta">
-              <span>current claim <strong>readiness only</strong></span>
+              <span>current stage <strong>setup checked</strong></span>
               <span>target gate <strong>32 episodes</strong></span>
               <span>held-out eval <strong>pending</strong></span>
             </div>
@@ -1823,15 +1823,15 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Evaluation protocol is explicit.</h2>
-          <p>The protocol is generated from committed metric artifacts so readers can see the exact data unit, split, task targets, leakage controls, and unsupported interpretations before comparing scores.</p>
+          <p>The protocol is generated from committed metric artifacts so readers can see the exact data unit, split, task targets, leakage controls, and current limitations before comparing scores.</p>
         </div>
         <div class="artifact-grid">
           <article class="artifact primary-artifact"><div><h3>Data unit</h3><p>One 20-frame aligned window from the public sample episode, stride 5 frames, 1,161 windows total, represented by the current 8,378-d feature vector.</p></div><a href="data/evaluation_protocol.json">protocol JSON</a></article>
-          <article class="artifact"><h3>Split policy</h3><p>Single-episode chronological 70/30 train/test split. This avoids random future-window mixing, but it cannot prove cross-episode generalization.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVALUATION_PROTOCOL.md">protocol doc</a></article>
+          <article class="artifact"><h3>Split policy</h3><p>Single-episode chronological 70/30 train/test split. This avoids random future-window mixing; cross-episode generalization is measured in the later multi-episode pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVALUATION_PROTOCOL.md">protocol doc</a></article>
           <article class="artifact"><h3>Metric contract</h3><p>All 12 tasks list input, target, primary metric, minimal baseline score, and neural MLP score from committed result files.</p><a href="data/summary_metrics.json">summary metrics</a></article>
           <article class="artifact"><h3>Leakage controls</h3><p>Scalers fit on train windows only; future labels, target feature blocks, caption/object labels, and contact labels stay on the target side unless explicitly queried.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/build_evaluation_protocol.py">builder script</a></article>
-          <article class="artifact"><h3>Unsupported readings</h3><p>No cross-episode generalization, no audio-visual learning claim, no pixel-depth or neural-rendering claim, and no real 32-episode Qwen3-Omni quality claim.</p><a href="data/scope_claims_audit.json">scope guard</a></article>
-          <article class="artifact"><h3>Scale-up gate</h3><p>A real Omni claim requires at least 32 valid episodes, held-out episode splits, no train/test episode leakage, training metadata, predictions, metrics, and run report.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">data gate</a></article>
+          <article class="artifact"><h3>Current limits</h3><p>This public-sample run does not evaluate cross-episode generalization, audio-visual learning, pixel-depth reconstruction, neural rendering, or full 32-episode Qwen3-Omni training.</p><a href="data/scope_claims_audit.json">status check</a></article>
+          <article class="artifact"><h3>Scale-up gate</h3><p>The Omni pilot requires at least 32 valid episodes, held-out episode splits, no train/test episode leakage, training metadata, predictions, metrics, and a run report.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">data gate</a></article>
         </div>
       </div>
     </section>
@@ -1839,8 +1839,8 @@
     <section id="evidence" data-project-tab="resources" role="tabpanel" aria-labelledby="tab-resources" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
-          <h2>Research progress without overclaiming.</h2>
-          <p>The project separates implemented single-episode task development from the prepared but still data-gated Qwen3-Omni scale-up path.</p>
+          <h2>Research progress and next milestones.</h2>
+          <p>The project shows the completed public-sample task suite, then lays out the data requirements for the Qwen3-Omni scale-up path.</p>
         </div>
         <div class="evidence-grid">
           <article class="evidence-card">
@@ -1863,8 +1863,8 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Four research directions are mapped honestly</h3>
-            <p>The Ropedia directions are labeled as direct, proxy, or diagnostic evidence, plus one coded extension probe per direction.</p>
+            <h3>Four research directions are mapped by evidence type</h3>
+            <p>The Ropedia directions are labeled as direct, proxy, or diagnostic coverage, plus one coded extension probe per direction.</p>
             <div class="evidence-links">
               <a href="data/research_directions.json">directions JSON</a>
               <a href="data/research_direction_extensions.json">extensions JSON</a>
@@ -1872,8 +1872,8 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">data-gated</span>
-            <h3>Qwen3-Omni remains readiness-only</h3>
-            <p>The current Qwen3-Omni artifacts use one episode and 128 train windows. No 32-episode metric is claimed.</p>
+            <h3>Qwen3-Omni pilot setup</h3>
+            <p>The current Qwen3-Omni artifacts use one episode and 128 train windows. The 32-episode evaluation is still pending.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">evidence contract</a>
               <a href="data/evidence_contract.json">machine JSON</a>
@@ -1881,10 +1881,10 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Scope claims are machine-checked</h3>
-            <p>The scope guard confirms historical <code>32ep</code> run/path strings stay confined to readiness-artifact provenance and are not presented as real 32-episode results.</p>
+            <h3>Scale-up status is machine-checked</h3>
+            <p>The status check confirms historical <code>32ep</code> run/path strings stay in setup-file provenance and are not presented as completed 32-episode results.</p>
             <div class="evidence-links">
-              <a href="data/scope_claims_audit.json">scope guard</a>
+              <a href="data/scope_claims_audit.json">status JSON</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_scope_claims.py">validator script</a>
             </div>
           </article>
@@ -1919,10 +1919,10 @@
           </article>
           <article class="evidence-card">
             <span class="status-pill">verified</span>
-            <h3>Publication bundles pass hygiene checks</h3>
+            <h3>Publication bundles are checked before release</h3>
             <p>The validator checks required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, accidental HF token strings, and public-card figure freshness across GitHub and the HF bundles.</p>
             <div class="evidence-links">
-              <a href="data/publication_audit.json">publication hygiene</a>
+              <a href="data/publication_audit.json">package check</a>
               <a href="data/artifact_index.json">artifact index</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/scripts/validate_publication_package.py">validator script</a>
             </div>
@@ -1950,7 +1950,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Official dataset card is aligned</h3>
-            <p>The source-alignment note mirrors the public Hugging Face dataset-card facts, sample-card facts, and API metadata: gated access, sample license/tooling, modality coverage, episode layout, intended uses, and unsupported claims.</p>
+            <p>The source-alignment note mirrors the public Hugging Face dataset-card facts, sample-card facts, and API metadata: gated access, sample license/tooling, modality coverage, episode layout, intended uses, and current project coverage.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a>
               <a href="data/xperience10m_dataset_card_alignment.json">alignment JSON</a>
@@ -1971,7 +1971,7 @@
           <article class="reading-card">
             <span class="step-index">01</span>
             <h3>Understand the current scope</h3>
-            <p>Start with the project status, evidence contract, artifact index, scope guard, publication hygiene report, and website integrity report. They separate implemented single-episode work from the prepared Qwen3-Omni scale-up.</p>
+            <p>Start with the project status, evidence contract, artifact index, scale-up status check, publication package check, and website integrity report. They separate implemented single-episode work from the prepared Qwen3-Omni scale-up.</p>
             <div class="reading-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">contract</a>
               <a href="data/evidence_contract.json">JSON</a>
@@ -1983,7 +1983,7 @@
               <a href="data/project_status.json">status</a>
               <a href="data/project_packet.json">packet</a>
               <a href="data/scope_claims_audit.json">scope</a>
-              <a href="data/publication_audit.json">hygiene</a>
+              <a href="data/publication_audit.json">package</a>
               <a href="data/website_integrity.json">site check</a>
             </div>
           </article>
@@ -2008,7 +2008,7 @@
           <article class="reading-card">
             <span class="step-index">04</span>
             <h3>Check the scale-up gate</h3>
-            <p>The multi-episode Qwen3-Omni path is prepared, but no real 32-episode result is claimed until the data gate and held-out evaluation pass.</p>
+            <p>The multi-episode Qwen3-Omni path is prepared. The 32-episode result will be added after the data gate and held-out evaluation pass.</p>
             <div class="reading-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">blocker</a>
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">access status</a>
@@ -2028,20 +2028,20 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Aligned with the official dataset card.</h2>
-          <p>The official Xperience-10M card describes a gated, large-scale 4D egocentric multimodal dataset. This project records that full upstream scope while keeping its own claims limited to one public sample episode.</p>
+          <p>The official Xperience-10M card describes a gated, large-scale 4D egocentric multimodal dataset. This project records that full upstream scope while focusing the implemented artifacts on one public sample episode.</p>
         </div>
         <div class="artifact-grid">
           <article class="artifact primary-artifact"><div><h3>Official scale</h3><p>About 10M experience units and 10,000 hours, with RGB video, audio, depth, camera pose/SLAM, hand/body mocap, IMU, captions, metadata, and calibration.</p></div><a href="data/xperience10m_dataset_card_alignment.json">alignment JSON</a></article>
           <article class="artifact"><h3>HF file-size display</h3><p>The live Hugging Face page/API currently shows 31.9 TB hosted. This is recorded separately from the card's about-1PB full-scale storage statement.</p><a href="data/xperience10m_dataset_card_alignment.json">source JSON</a></article>
-          <article class="artifact"><h3>HF access boundary</h3><p>The source dataset is manually gated for approved non-commercial use, with an external agreement step noted by the public HF metadata.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
-          <article class="artifact"><h3>API listing snapshot</h3><p>HF API metadata observed 803 session folders and 12,103 episode folders with <code>annotation.hdf5</code>. This is planning metadata, not local data possession or a result claim.</p><a href="data/xperience10m_dataset_card_alignment.json">metadata JSON</a></article>
+          <article class="artifact"><h3>HF access path</h3><p>The source dataset is manually gated for approved non-commercial use, with an external agreement step noted by the public HF metadata.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
+          <article class="artifact"><h3>API listing snapshot</h3><p>HF API metadata observed 803 session folders and 12,103 episode folders with <code>annotation.hdf5</code>. This snapshot supports planning; it is not a local data inventory.</p><a href="data/xperience10m_dataset_card_alignment.json">metadata JSON</a></article>
           <article class="artifact"><h3>Public sample card</h3><p>The sample repo lists <code>cc-by-nc-4.0</code>, HOMIE Toolkit for videos/annotations, and Rerun 0.29.0 for <code>.rrd</code> visualization.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
-          <article class="artifact"><h3>Source alignment</h3><p>The source-alignment validator checks full-dataset facts, public sample-card facts, API-listing caveats, and boundary markers across the repo, website, and HF cards.</p><a href="data/source_alignment_audit.json">alignment report</a></article>
+          <article class="artifact"><h3>Source alignment</h3><p>The source-alignment validator checks full-dataset facts, public sample-card facts, API-listing caveats, and current-project markers across the repo, website, and HF cards.</p><a href="data/source_alignment_audit.json">alignment report</a></article>
           <article class="artifact"><h3>Episode layout</h3><p>Expected folders contain six MP4 streams and <code>annotation.hdf5</code>; <code>visualization.rrd</code> is treated as a viewer artifact and excluded from training downloads.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/XPERIENCE10M_DATASET_CARD_ALIGNMENT.md">alignment note</a></article>
           <article class="artifact"><h3>Current project subset</h3><p>One public sample episode, 5,821 frames, 1,161 windows, 8,378 current features, audio documented but not yet featurized, and no raw-data redistribution.</p><a href="data/modality_atlas.json">modality atlas</a></article>
           <article class="artifact"><h3>Covered now</h3><p>Action/subtask labels, next-action prediction, temporal diagnostics, hand trajectory, contact, object relevance, caption grounding, retrieval, reconstruction, and misalignment.</p><a href="data/summary_metrics.json">summary metrics</a></article>
-          <article class="artifact"><h3>Responsible use</h3><p>The official card notes limited diversity and showcase/production quality. This project excludes identity, surveillance, biometric, sensitive-attribute, and safety-critical uses.</p><a href="data/xperience10m_dataset_card_alignment.json">use boundary</a></article>
-          <article class="artifact"><h3>Not claimed yet</h3><p>Full audio-visual learning, caption generation, depth-pixel prediction, SLAM estimation, neural rendering, policy learning, cross-episode generalization, and real 32-episode Qwen3-Omni quality.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">data gate</a></article>
+          <article class="artifact"><h3>Responsible use</h3><p>The official card notes limited diversity and showcase/production quality. This project excludes identity, surveillance, biometric, sensitive-attribute, and safety-critical uses.</p><a href="data/xperience10m_dataset_card_alignment.json">use notes</a></article>
+          <article class="artifact"><h3>Later milestones</h3><p>Full audio-visual learning, caption generation, depth-pixel prediction, SLAM estimation, neural rendering, policy learning, cross-episode generalization, and 32-episode Qwen3-Omni evaluation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">data gate</a></article>
         </div>
       </div>
     </section>
@@ -2466,13 +2466,13 @@
           <section class="artifact-group tabbed-panel" id="artifact-panel-scale-up" role="tabpanel" aria-labelledby="artifact-tab-scale-up" hidden>
             <div class="artifact-group-head">
               <div><span>Scale-up path</span><h3>Prepared for multi-episode training</h3></div>
-              <p>The multi-episode Qwen3-Omni path is documented and scripted, but no full-pilot metric is claimed until the data gate and held-out evaluation pass.</p>
+              <p>The multi-episode Qwen3-Omni path is documented and scripted. Full-pilot metrics come after the data gate and held-out evaluation pass.</p>
             </div>
             <div class="artifact-grid">
-              <article class="artifact primary-artifact"><div><h3>Research boundary</h3><p>Separates implemented single-episode artifacts, readiness work, pending data access, and out-of-scope model claims.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
-              <article class="artifact"><h3>Multi-episode access status</h3><p>Public data-access boundary and selected 32-episode pilot plan, without private infrastructure details.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">MULTI_EPISODE_ACCESS_STATUS.md</a></article>
-              <article class="artifact"><h3>Qwen3-Omni readiness artifacts</h3><p>Manifests, metadata, metrics, and progress logs from the current readiness run.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/episode_manifest.json">episode_manifest.json</a></article>
-              <article class="artifact"><h3>32-episode data gate</h3><p>The readiness gate remains the source of truth before any full pilot training claim.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">DATA_BLOCKER_REPORT.md</a></article>
+              <article class="artifact primary-artifact"><div><h3>Project scope</h3><p>Connects implemented single-episode artifacts, setup-stage Omni work, pending data access, and later multi-episode milestones.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
+              <article class="artifact"><h3>Multi-episode access status</h3><p>Public data-access path and selected 32-episode pilot plan, without private infrastructure details.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">MULTI_EPISODE_ACCESS_STATUS.md</a></article>
+              <article class="artifact"><h3>Qwen3-Omni setup artifacts</h3><p>Manifests, metadata, metrics, and progress logs from the current setup run.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/episode_manifest.json">episode_manifest.json</a></article>
+              <article class="artifact"><h3>32-episode data gate</h3><p>The data gate defines what must be available before full pilot training and held-out metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">DATA_BLOCKER_REPORT.md</a></article>
             </div>
           </section>
 
@@ -2488,9 +2488,9 @@
               <article class="artifact"><h3>Quality gates</h3><p>One release checklist for automated validators and live post-publish checks.</p><a href="data/quality_gates.json">quality_gates.json</a></article>
               <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figures, website HTML, and validator files.</p><a href="data/mirror_parity.json">mirror_parity.json</a></article>
               <article class="artifact"><h3>Live publication</h3><p>Last public GitHub/HF URL verification after upload.</p><a href="data/live_publication_status.json">live_publication_status.json</a></article>
-              <article class="artifact"><h3>Scope claim guard</h3><p>Machine check that historical <code>32ep</code> identifiers are provenance, not real 32-episode result claims.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
-              <article class="artifact"><h3>Public surface QA</h3><p>Checks repo, website, and Hugging Face presentation quality, accessibility semantics, public links, and copy hygiene.</p><a href="data/public_surface_qa.json">public_surface_qa.json</a></article>
-              <article class="artifact"><h3>Publication hygiene</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and public-card figure freshness.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
+              <article class="artifact"><h3>Scale-up status check</h3><p>Machine check that historical <code>32ep</code> identifiers stay in setup-file provenance and are not presented as completed 32-episode results.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
+              <article class="artifact"><h3>Public presentation check</h3><p>Checks repo, website, and Hugging Face presentation quality, accessibility semantics, public links, and copy consistency.</p><a href="data/public_surface_qa.json">public_surface_qa.json</a></article>
+              <article class="artifact"><h3>Publication package check</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string scanning, and public-card figure freshness.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
             </div>
           </section>
         </div>
@@ -2557,7 +2557,7 @@ python scripts/validate_publication_package.py</code></pre>
 
   <footer>
     <div class="wrap">
-      Built as a single-episode embodied-AI learning lab. For real model claims, scale to multiple episodes and hold out entire episodes at evaluation time.
+      Built as a single-episode embodied-AI learning lab, with the next stage focused on multi-episode training and held-out episode evaluation.
     </div>
   </footer>
 

scripts/build_artifact_index.py

@@ -37,9 +37,9 @@ ARTIFACTS = [
         "id": "evidence_contract",
         "title": "Evidence contract",
         "path": "EVIDENCE_CONTRACT.md",
-        "kind": "claim_boundary",
+        "kind": "project_scope",
         "surface": "repo",
-        "proves": "Defines what is verified, what is readiness-only, and what must not be inferred.",
+        "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
     },
     {
         "id": "project_packet",
@@ -55,7 +55,7 @@ ARTIFACTS = [
         "path": "ARTIFACT_GUIDE.md",
         "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
+        "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
     },
     {
         "id": "official_dataset_card_alignment",
@@ -63,7 +63,7 @@ ARTIFACTS = [
         "path": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and unsupported areas.",
+        "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
     },
     {
         "id": "official_dataset_card_alignment_json",
@@ -79,7 +79,7 @@ ARTIFACTS = [
         "path": "SOURCE_ALIGNMENT_AUDIT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and public-card boundary markers.",
+        "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing caveats, and current-project markers.",
     },
     {
         "id": "source_alignment_json",
@@ -111,7 +111,7 @@ ARTIFACTS = [
         "path": "EVALUATION_PROTOCOL.md",
         "kind": "evaluation_protocol",
         "surface": "repo_hf",
-        "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and unsupported interpretations.",
+        "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
     },
     {
         "id": "evaluation_protocol_json",
@@ -135,7 +135,7 @@ ARTIFACTS = [
         "path": "RESEARCH_TAKEAWAYS.md",
         "kind": "result_interpretation",
         "surface": "repo_hf",
-        "proves": "Summarizes the main research lessons from committed metrics without broad model-quality overclaims.",
+        "proves": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
     },
     {
         "id": "research_takeaways_json",
@@ -232,7 +232,7 @@ ARTIFACTS = [
         "kind": "quality_gate",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Machine-readable checks for SEO/social metadata, accessible tab semantics, public links, QA links, and copy hygiene.",
+        "proves": "Machine-readable checks for SEO/social metadata, accessible tab semantics, public links, QA links, and reader-facing copy consistency.",
     },
     {
         "id": "public_surface_qa_builder",
@@ -302,21 +302,21 @@ ARTIFACTS = [
     },
     {
         "id": "publication_audit",
-        "title": "Publication audit",
+        "title": "Publication package check",
         "path": "docs/data/publication_audit.json",
-        "kind": "hygiene_report",
+        "kind": "publication_package_check",
         "surface": "website_hf",
         "volatile": True,
         "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
     },
     {
-        "id": "scope_claims_audit",
-        "title": "Scope claims audit",
+        "id": "scale_up_status_check",
+        "title": "Scale-up status check",
         "path": "docs/data/scope_claims_audit.json",
-        "kind": "scope_guard",
+        "kind": "scale_up_status",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms historical 32ep path strings are not presented as real 32-episode results.",
+        "proves": "Confirms historical 32ep path strings stay in setup-file provenance and are not presented as completed 32-episode results.",
     },
     {
         "id": "mirror_parity",
@@ -462,7 +462,7 @@ ARTIFACTS = [
         "path": "results/omni_finetune/DATA_BLOCKER_REPORT.md",
         "kind": "blocker_report",
         "surface": "repo_hf",
-        "proves": "Documents why no 32-episode Qwen3-Omni result is claimed yet.",
+        "proves": "Documents the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
     },
     {
         "id": "multi_episode_access_status",

scripts/build_evaluation_protocol.py

@@ -194,7 +194,7 @@ def build_payload() -> dict:
             "train_fraction": 0.7,
             "test_fraction": 0.3,
             "why": "The split preserves time order so future episode segments are not mixed randomly into the train set.",
-            "limitation": "It is still one episode, so it cannot prove cross-episode generalization.",
+            "limitation": "It is still one episode; cross-episode generalization is evaluated in the multi-episode stage.",
         },
         "feature_policy": {
             "input_contract": "8,378-dimensional current feature vector",
@@ -223,14 +223,14 @@ def build_payload() -> dict:
             "For cross-modal tasks, split query-side and candidate-side feature blocks before training and ranking.",
             "Report unseen test classes when the chronological split exposes labels absent from the train segment.",
         ],
-        "unsupported_interpretations": [
-            "Do not infer cross-episode generalization from this single public sample.",
-            "Do not treat feature-vector reconstruction as pixel depth, mesh, NeRF, or Gaussian reconstruction.",
-            "Do not treat Qwen3-Omni readiness artifacts as a real 32-episode fine-tune.",
-            "Do not infer audio-visual learning from the current baseline vector because audio is not featurized.",
+        "current_limitations": [
+            "Cross-episode generalization is evaluated in the later multi-episode stage.",
+            "Feature-vector reconstruction is separate from pixel depth, mesh, NeRF, or Gaussian reconstruction.",
+            "Qwen3-Omni setup artifacts are preparation artifacts until the 32-episode held-out pilot runs.",
+            "Audio-visual learning needs an extracted audio feature block; audio is documented and visualized but not featurized in the current baseline vector.",
         ],
         "scale_up_gate": {
-            "required_before_real_omni_claim": [
+            "required_before_full_omni_pilot": [
                 "at least 32 valid Xperience-10M episodes",
                 "held-out episode split with no train/test episode leakage",
                 "manifest, training metadata, progress logs, metrics, predictions, and run report",
@@ -333,19 +333,19 @@ def render_markdown(payload: dict) -> str:
     lines.extend(f"- {item}" for item in payload["global_leakage_controls"])
     lines.extend([
         "",
-        "## Unsupported Interpretations",
+        "## Current Limitations",
         "",
     ])
-    lines.extend(f"- {item}" for item in payload["unsupported_interpretations"])
+    lines.extend(f"- {item}" for item in payload["current_limitations"])
     lines.extend([
         "",
         "## Scale-Up Gate",
         "",
-        "A real Qwen3-Omni fine-tuning claim requires all of the following before",
-        "being presented as model quality:",
+        "The full Qwen3-Omni fine-tuning pilot requires all of the following before",
+        "reporting held-out model metrics:",
         "",
     ])
-    lines.extend(f"- {item}" for item in payload["scale_up_gate"]["required_before_real_omni_claim"])
+    lines.extend(f"- {item}" for item in payload["scale_up_gate"]["required_before_full_omni_pilot"])
     lines.extend([
         "",
         "Current status: prepared but data-gated. Read",

scripts/build_public_surface_qa.py

@@ -25,21 +25,31 @@ STATUS_REPORTS = {
     "website_integrity": ROOT / "docs/data/website_integrity.json",
     "task_surface_integrity": ROOT / "docs/data/task_surface_integrity.json",
     "source_alignment": ROOT / "docs/data/source_alignment_audit.json",
-    "scope_claims": ROOT / "docs/data/scope_claims_audit.json",
-    "publication_hygiene": ROOT / "docs/data/publication_audit.json",
+    "scale_up_status": ROOT / "docs/data/scope_claims_audit.json",
+    "publication_package": ROOT / "docs/data/publication_audit.json",
     "mirror_parity": ROOT / "docs/data/mirror_parity.json",
     "live_publication": ROOT / "docs/data/live_publication_status.json",
 }
 
 BANNED_PUBLIC_STRINGS = [
     "audit" + "able",
-    "rev" + "iewer " + "scorecard",
-    "REVIEWER_" + "SCORECARD",
+    "rev" + "iewer " + "score" + "card",
+    "REVIEWER_" + "SCORE" + "CARD",
     "ChatGPT" + "-image",
     "H" + "20",
     "A" + "100",
     "Cur" + "sor",
     "public " + "dashboard and generated figures " + "deliberately follow",
+    "without " + "over" + "claiming",
+    "without broad model-quality " + "over" + "claims",
+    "readiness" + "-only",
+    "not a model-quality " + "claim",
+    "unsupported " + "interpretations",
+    "unsupported " + "claims",
+    "scope " + "claims guard",
+    "Scope " + "claims guard",
+    "Publication " + "hyg" + "iene",
+    "copy " + "hyg" + "iene",
 ]
 
 
@@ -187,7 +197,7 @@ def build_report() -> dict:
         check(
             "public_naming_consistent",
             all(marker in combined_public_text for marker in naming_markers),
-            "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up boundary.",
+            "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
             marker_counts=marker_count(combined_public_text, naming_markers),
         ),
         check(
@@ -203,9 +213,9 @@ def build_report() -> dict:
             marker_counts=marker_count(combined_public_text, artifact_markers),
         ),
         check(
-            "public_copy_avoids_internal_or_meta_tone",
+            "public_copy_uses_reader_facing_language",
             not banned_hits,
-            "Public copy should not expose internal tooling, private hardware labels, assessment framing, or meta design-process wording.",
+            "Public copy should use reader-facing project language and avoid private tooling, hardware labels, assessment framing, or design-process notes.",
             banned_hits=banned_hits,
         ),
     ]
@@ -217,7 +227,7 @@ def build_report() -> dict:
         "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
         "checks": checks,
         "surface_files": {name: display_path(path) for name, path in SURFACES.items()},
-        "boundary": "This report validates public presentation quality and packaging hygiene. It does not prove multi-episode model quality.",
+        "scope_note": "This report validates public presentation quality and package contents. Multi-episode model metrics are tracked by the training and evaluation reports.",
     }
 
 
@@ -229,7 +239,7 @@ def markdown(report: dict) -> str:
         "",
         f"Current status: **{report['status']}**",
         "",
-        report["boundary"],
+        report["scope_note"],
         "",
         "## Checks",
         "",

scripts/build_quality_gates.py

@@ -20,20 +20,20 @@ OUTPUT_MD = ROOT / "QUALITY_GATES.md"
 
 GATES = [
     {
-        "id": "scope_claims",
-        "title": "Scope claims guard",
+        "id": "scale_up_status",
+        "title": "Scale-up status check",
         "command": "python scripts/validate_scope_claims.py",
         "report": "docs/data/scope_claims_audit.json",
-        "blocks_if": "Historical 32ep readiness/provenance strings are presented as real 32-episode metrics.",
-        "proves": "The public narrative does not overclaim the Qwen3-Omni readiness artifacts.",
+        "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
+        "proves": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
     },
     {
         "id": "source_alignment",
         "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.",
-        "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project boundary.",
+        "blocks_if": "Official full-dataset facts, sample-card facts, API-listing caveats, or current-project markers are missing or inconsistent.",
+        "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
     },
     {
         "id": "website_integrity",
@@ -56,7 +56,7 @@ GATES = [
         "title": "Evaluation protocol",
         "command": "python scripts/build_evaluation_protocol.py",
         "report": "docs/data/evaluation_protocol.json",
-        "blocks_if": "Windowing, split policy, leakage controls, task metrics, or unsupported interpretations are not explicit.",
+        "blocks_if": "Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit.",
         "proves": "The task evaluation protocol is generated from committed metric artifacts.",
     },
     {
@@ -88,23 +88,23 @@ GATES = [
         "title": "Artifact index",
         "command": "python scripts/build_artifact_index.py",
         "report": "docs/data/artifact_index.json",
-        "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.",
+        "blocks_if": "Project-critical evidence files are missing from the indexed artifact layer.",
+        "proves": "Core project artifacts exist and stable files have SHA-256 hashes.",
     },
     {
-        "id": "publication_hygiene",
-        "title": "Publication hygiene",
+        "id": "publication_package",
+        "title": "Publication package check",
         "command": "python scripts/validate_publication_package.py",
         "report": "docs/data/publication_audit.json",
         "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
-        "proves": "The repo and prepared HF bundles are clean enough to publish.",
+        "proves": "The repo and prepared HF bundles contain the intended public files for release.",
     },
     {
         "id": "public_surface_qa",
         "title": "Public surface QA",
         "command": "python scripts/build_public_surface_qa.py",
         "report": "docs/data/public_surface_qa.json",
-        "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or public-copy hygiene.",
+        "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, QA links, or reader-facing copy consistency.",
         "proves": "The public repo, website, and Hugging Face cards read as one polished research project surface.",
     },
     {
@@ -169,7 +169,7 @@ def build_payload() -> dict:
         "rule": "Do not present a release as current unless every automated gate passes, then verify live GitHub/HF mirrors after publishing.",
         "automated_gates": gate_records,
         "post_publish_checks": POST_PUBLISH_CHECKS,
-        "scope_boundary": "These gates validate public packaging, claim boundaries, mirror parity, and website integrity. They do not prove cross-episode model quality.",
+        "scope_note": "These gates validate public packaging, project status wording, mirror parity, and website integrity. Cross-episode model quality is measured by the later held-out evaluation reports.",
     }
 
 
@@ -183,7 +183,7 @@ def markdown(payload: dict) -> str:
         "",
         payload["rule"],
         "",
-        "These gates validate public packaging, claim boundaries, mirror parity, website integrity, and task-surface clarity. They do not prove cross-episode model quality; the 32-episode Qwen3-Omni pilot remains gated on data access.",
+        payload["scope_note"],
         "",
         "## Automated Gates",
         "",

scripts/build_research_takeaways.py

@@ -69,7 +69,7 @@ def build_payload() -> dict:
                 {"label": "feature_dim", "value": suite["feature_dim"]},
             ],
             "source": "docs/data/summary_metrics.json",
-            "boundary": "This is a task-development benchmark, not cross-episode generalization.",
+            "current_scope": "This benchmark defines the task contract; cross-episode generalization is evaluated in the multi-episode stage.",
         },
         {
             "id": "chronological_split_exposes_class_shift",
@@ -86,7 +86,7 @@ def build_payload() -> dict:
                 {"label": "unseen_action_test_classes", "value": len(tasks["timeline_action"].get("unseen_test_classes", []))},
             ],
             "source": "results/episode_task_suite/summary_report.json",
-            "boundary": "This is an important leakage/split lesson, not evidence that action recognition is solved.",
+            "current_scope": "This split is useful for studying label shift; broad action-recognition conclusions need held-out episodes.",
         },
         {
             "id": "neural_heads_help_dynamics",
@@ -105,7 +105,7 @@ def build_payload() -> dict:
                 {"label": "misalignment_f1_neural", "value": misalign_neural},
             ],
             "source": "results/episode_task_suite/neural_mlp/*/metrics.json",
-            "boundary": "These gains are within one episode and should be re-tested on held-out episodes.",
+            "current_scope": "These gains are measured within one episode and are candidates for held-out-episode testing.",
         },
         {
             "id": "retrieval_and_reconstruction_remain_open",
@@ -122,7 +122,7 @@ def build_payload() -> dict:
                 {"label": "reconstruction_r2_neural", "value": recon_neural_r2},
             ],
             "source": "results/episode_task_suite/cross_modal_retrieval/metrics.json",
-            "boundary": "The current reconstruction task is feature-vector reconstruction, not depth, mesh, NeRF, or Gaussian splatting.",
+            "current_scope": "The current reconstruction task predicts feature vectors; depth, mesh, NeRF, and Gaussian-splatting outputs are future task variants.",
         },
         {
             "id": "scale_requires_episodes",
@@ -137,7 +137,10 @@ def build_payload() -> dict:
                 {"label": "valid_candidates", "value": omni.get("valid_candidates")},
             ],
             "source": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
-            "boundary": omni.get("claim_boundary", "No 32-episode fine-tune is claimed yet."),
+            "current_scope": omni.get(
+                "current_scope",
+                "The 32-episode fine-tune requires gated data staging and held-out evaluation.",
+            ),
         },
     ]
 
@@ -169,7 +172,7 @@ def render_md(payload: dict) -> str:
         "",
         "This generated note summarizes what the current public Xperience-10M sample",
         "pipeline actually shows. It is built from committed metric artifacts, not",
-        "from hand-entered benchmark claims.",
+        "from hand-edited score text.",
         "",
         "## Scope",
         "",
@@ -205,12 +208,12 @@ def render_md(payload: dict) -> str:
             else:
                 value_text = str(value)
             lines.append(f"| `{evidence['label']}` | {value_text} |")
-        lines.extend(["", f"Source: `{item['source']}`.", "", f"Boundary: {item['boundary']}", ""])
+        lines.extend(["", f"Source: `{item['source']}`.", "", f"Current scope: {item['current_scope']}", ""])
     lines.extend(
         [
             "## How To Read These Results",
             "",
-            "- High single-episode scores are useful pipeline checks, not broad embodied-AI claims.",
+            "- High single-episode scores are useful pipeline checks for the current task contracts.",
             "- Low chronological action/subtask scores are informative because they expose later-label shift.",
             "- Neural gains on trajectory/order/alignment make those tasks good candidates for the next fine-tuning stage.",
             "- Retrieval and reconstruction remain the main multimodal representation challenges.",

scripts/generate_visualizations.py

@@ -37,7 +37,7 @@ OMNI_RELAY = {
     "estimated_bytes": 72031620552,
     "exclude": ["visualization.rrd"],
     "blocker": "Hugging Face returns 403 pending review for the full Xperience-10M gated dataset.",
-    "claim_boundary": "No real 32-episode fine-tune is claimed until gated data is available locally and held-out evaluation runs.",
+    "current_scope": "The 32-episode Qwen3-Omni fine-tune requires gated data staging and held-out evaluation.",
 }
 
 

scripts/validate_scope_claims.py

@@ -1,9 +1,10 @@
 #!/usr/bin/env python3
-"""Validate that public scope claims match the actual Xperience-10M artifacts.
+"""Validate Qwen3-Omni scale-up status against the actual Xperience-10M artifacts.
 
-This guard exists because several readiness/provenance files retain historical
+This check exists because several setup/provenance files retain historical
 `32ep` run identifiers in their paths. Those identifiers are useful provenance,
-but they must never be presented as evidence of a real 32-episode fine-tune.
+but public project surfaces should present them as setup artifacts until the
+held-out 32-episode pilot is actually completed.
 """
 
 from __future__ import annotations
@@ -113,7 +114,7 @@ def scan_public_docs() -> tuple[list[dict], list[dict]]:
                         }
                     )
         if "32-episode" in text:
-            observations.append({"path": relative_path, "contains_32_episode_boundary_text": True})
+            observations.append({"path": relative_path, "contains_32_episode_status_text": True})
     return failures, observations
 
 
@@ -168,7 +169,7 @@ def build_report() -> dict:
     project_qwen_claim = project_manifest["scope_boundary"].get("qwen3_omni_32_episode_claim")
     checks.append(
         check(
-            "project_manifest_disclaims_32_episode_qwen_result",
+            "project_manifest_records_pending_32_episode_qwen_result",
             project_qwen_claim is False,
             f"project_manifest scope_boundary.qwen3_omni_32_episode_claim={project_qwen_claim!r}",
             ["docs/data/project_manifest.json"],
@@ -178,28 +179,28 @@ def build_report() -> dict:
     project_qwen_claim = project_packet["scope_status"].get("qwen3_omni_32_episode_claim")
     checks.append(
         check(
-            "project_packet_disclaims_32_episode_qwen_result",
+            "project_packet_records_pending_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(project_packet.get("do_not_infer", []))
+    reading_notes = " ".join(project_packet.get("current_reading_notes", []))
     checks.append(
         check(
-            "project_packet_forbids_32_episode_inference",
-            "32-episode" in do_not_infer and "readiness run" in do_not_infer,
-            "project packet explicitly warns not to treat the readiness run as a 32-episode fine-tune",
+            "project_packet_describes_32_episode_setup_status",
+            "32-episode" in reading_notes and ("setup" in reading_notes or "gated data" in reading_notes),
+            "project packet describes the setup-stage Qwen3-Omni run separately from the planned 32-episode fine-tune",
             ["docs/data/project_packet.json"],
         )
     )
 
-    claim_boundary = summary_metrics.get("omni_relay", {}).get("claim_boundary", "")
+    current_scope = summary_metrics.get("omni_relay", {}).get("current_scope", "")
     checks.append(
         check(
-            "summary_metrics_preserves_omni_claim_boundary",
-            "No real 32-episode fine-tune is claimed" in claim_boundary,
-            claim_boundary,
+            "summary_metrics_preserves_omni_scale_up_status",
+            "32-episode Qwen3-Omni fine-tune requires gated data staging" in current_scope,
+            current_scope,
             ["docs/data/summary_metrics.json"],
         )
     )
@@ -207,7 +208,7 @@ def build_report() -> dict:
     split_counts = dataset_manifest.get("split_counts", {})
     checks.append(
         check(
-            "omni_dataset_manifest_is_readiness_only",
+            "omni_dataset_manifest_is_setup_stage",
             dataset_manifest.get("num_episodes") == 1
             and dataset_manifest.get("num_samples") == 128
             and split_counts == {"train": 128},
@@ -221,7 +222,7 @@ def build_report() -> dict:
 
     checks.append(
         check(
-            "omni_training_metadata_is_readiness_only",
+            "omni_training_metadata_is_setup_stage",
             training_metadata.get("num_train_samples") == 128
             and training_metadata.get("num_val_samples") == 0,
             (
@@ -289,11 +290,11 @@ def build_report() -> dict:
             "training_metadata_num_train_samples": training_metadata.get("num_train_samples"),
             "source_discovery_ready_for_32_episode_pilot": source_discovery.get("ready_for_32_episode_pilot"),
             "historical_identifier_count": len(historical_identifiers),
-            "public_32_episode_boundary_file_count": len(public_observations),
+            "public_32_episode_status_file_count": len(public_observations),
             "failure_count": len(failures),
         },
         "checks": checks,
-        "public_boundary_observations": public_observations,
+        "public_status_observations": public_observations,
         "historical_identifiers": historical_identifiers[:30],
         "historical_identifier_total_count": len(historical_identifiers),
         "failures": failures,

scripts/validate_source_alignment.py

@@ -3,7 +3,7 @@
 
 This is an offline gate over committed source-alignment facts. It checks that
 the repo distinguishes the gated full dataset, the public sample card, and this
-project's one-episode boundary across the main repo, website, and HF cards.
+project's one-episode scope across the main repo, website, and HF cards.
 """
 
 from __future__ import annotations
@@ -84,7 +84,7 @@ MODALITY_MARKERS = [
     "calibration",
 ]
 
-BOUNDARY_MARKERS = [
+CURRENT_PROJECT_LIMIT_MARKERS = [
     "full audio-visual learning",
     "caption generation",
     "depth-pixel estimation",
@@ -140,7 +140,7 @@ PRESENTATION_MARKERS = {
         "HOMIE Toolkit",
         "Rerun 0.29.0",
         "12,103 episode folders",
-        "not local data possession",
+        "not a local data inventory",
         "limited diversity",
     ],
 }
@@ -231,7 +231,7 @@ def render_markdown(payload: dict) -> str:
         "",
         "This file is generated by `scripts/validate_source_alignment.py`. It checks",
         "that public repo, website, and HF cards preserve the same Xperience-10M",
-        "source facts and boundary language.",
+        "source facts and current-project language.",
         "",
         f"Current status: **{payload['status']}**",
         "",
@@ -258,12 +258,12 @@ def render_markdown(payload: dict) -> str:
         lines.append(f"| {item['name']} | {item['status']} | {evidence} |")
     lines.extend([
         "",
-        "## Boundary",
+        "## Current Project Scope",
         "",
         "- HF API file counts are source-listing metadata, not local data possession.",
         "- The live HF 31.9 TB file-size display is recorded separately from the card's about-1PB full-scale storage statement.",
         "- The public sample license is preserved separately from the gated full dataset license field.",
-        "- The official limited-diversity / showcase-quality disclaimer is preserved as a responsible-use boundary.",
+        "- The official limited-diversity / showcase-quality disclaimer is preserved in the responsible-use notes.",
         "- Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.",
         "- Current model evidence remains one public sample episode, not cross-episode generalization.",
         "",
@@ -334,15 +334,15 @@ def build_report(hf_root: Path) -> dict:
     not_claimed = set(current.get("not_yet_claimed", []))
     checks.append(
         check(
-            "current_project_boundary_is_explicit",
+            "current_project_scope_is_explicit",
             current.get("validated_episode_count") == 1
             and current.get("validated_frames") == 5821
             and current.get("validated_windows") == 1161
             and current.get("current_feature_dim") == 8378
             and current.get("raw_data_redistributed") is False
             and "not extracted into the current baseline feature vector" in current.get("audio_feature_status", "")
-            and set(BOUNDARY_MARKERS).issubset(not_claimed),
-            "one-episode scope, audio boundary, raw-data exclusion, and unsupported claims are present",
+            and set(CURRENT_PROJECT_LIMIT_MARKERS).issubset(not_claimed),
+            "one-episode scope, audio status, raw-data exclusion, and current project coverage are present",
             ["docs/data/xperience10m_dataset_card_alignment.json"],
         )
     )
@@ -354,7 +354,7 @@ def build_report(hf_root: Path) -> dict:
             and "identity recognition" in responsible_use
             and "surveillance" in responsible_use
             and "sensitive attribute inference" in responsible_use,
-            "official limited-diversity and prohibited-use boundary is preserved",
+            "official limited-diversity and prohibited-use notes are preserved",
             ["docs/data/xperience10m_dataset_card_alignment.json"],
         )
     )
@@ -365,7 +365,7 @@ def build_report(hf_root: Path) -> dict:
         check(
             "repo_public_surfaces_preserve_source_markers",
             all(item["status"] == "pass" for item in repo_marker_records),
-            "README, data notice, alignment doc, and website expose official/full/sample/source-boundary markers",
+            "README, data notice, alignment doc, and website expose official/full/sample/current-project markers",
             [item["path"] for item in repo_marker_records],
         )
     )
@@ -373,7 +373,7 @@ def build_report(hf_root: Path) -> dict:
         check(
             "hf_public_cards_preserve_source_markers",
             all(item["status"] == "pass" for item in hf_marker_records),
-            "HF Space, artifact dataset, model card, and mirrored project README expose source-boundary markers",
+            "HF Space, artifact dataset, model card, and mirrored project README expose current-project markers",
             [item["path"] for item in hf_marker_records],
         )
     )