Polish reader-facing project language

ARTIFACT_GUIDE.md

@@ -26,7 +26,7 @@ The project separates these reading layers:
 8. **Reproducibility:** public commands, expected outputs, and exact-match
    evidence for the single-episode pipeline.
 9. **Public project surface:** repo, website, and Hugging Face pages,
-   accessibility semantics, links, and reader-facing copy.
+   accessibility semantics, links, and clear project presentation.
 10. **Multi-episode pilot status:** scripts and reports for the selected-episode
    Qwen3-Omni pilot, with the data-access requirement kept visible.
 11. **Foundation-model selection:** Qwen3-Omni, Cosmos 3, GR00T, OpenVLA,
@@ -60,10 +60,10 @@ The project separates these reading layers:
 | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md) | Shows measured current-audio and raw log-mel replacement deltas across the 12 task contracts. |
 | [`docs/data/audio_ablation_summary.json`](docs/data/audio_ablation_summary.json) | Machine-readable audio ablation summary for website and HF mirrors. |
 | [`docs/data/quality_gates.json`](docs/data/quality_gates.json) | Machine-readable release-check summary for website and HF mirrors. |
-| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable public project-surface report for website, repo, and Hugging Face pages. |
+| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable public presentation report for website, repo, and Hugging Face pages. |
 | [`docs/data/live_publication_status.json`](docs/data/live_publication_status.json) | Last live GitHub/HF verification after upload. |
 | [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json) | Confirms prepared HF Space, artifact, and model mirrors match the repo for critical data, figures, website HTML, and validator scripts. |
-| [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Summarizes public bundle contents and exclusions for raw data, Python caches, heavy archives, token strings, and public-card figure references. |
+| [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Summarizes public bundle contents and exclusions for raw data, Python caches, heavy archives, credential text, and public-card figure references. |
 | [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Separates setup identifiers from completed held-out-episode results. |
 | [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json) | Confirms the public 12-task cards use readable task names, modality thumbnails, and the interactive walkthrough/player data contract. |
 | [`docs/data/website_integrity.json`](docs/data/website_integrity.json) | Confirms local site links, anchors, JSON bundles, and referenced images resolve. |
@@ -147,9 +147,9 @@ The project separates these reading layers:
 
 | Public surface artifact | What it keeps aligned |
 | --- | --- |
-| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Human-readable public project-surface report for repo, website, and Hugging Face cards. |
-| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable report for SEO/social metadata, accessible tabs, public links, project links, and reader-facing copy. |
-| [`scripts/build_public_surface_qa.py`](scripts/build_public_surface_qa.py) | Regenerates the public project-surface report before release. |
+| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Human-readable public presentation report for repo, website, and Hugging Face cards. |
+| [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json) | Machine-readable report for SEO/social metadata, accessible tabs, public links, project links, and clear project presentation. |
+| [`scripts/build_public_surface_qa.py`](scripts/build_public_surface_qa.py) | Regenerates the public presentation report before release. |
 
 ## Scale-Up Readiness
 

EVALUATION_PROTOCOL.md

@@ -37,9 +37,9 @@ segment. Those cases are recorded in the task metrics as `unseen_test_classes`.
 - Input contract: 8,546-dimensional current feature vector.
 - Source manifest: `results/episode_task_suite/feature_manifest.json`.
 - Normalization: Scalers are fit on train windows only for the baseline heads.
-- Audio status: AAC audio is extracted from the sample MP4 stream and included in the current feature vector.
+- Audio status: Audio is represented in the current feature vector.
 
-Minimal heads are used first because they make task contracts debuggable.
+Minimal heads are used first because they make task contracts easy to inspect.
 Neural MLP heads reuse the same windows, splits, and feature tensors; they
 are not foundation models.
 
@@ -72,20 +72,20 @@ are not foundation models.
 
 - 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.
-- Full audio-visual representation learning still needs multi-episode training, but the current baseline vector now includes an extracted AAC audio feature block.
+- Qwen3-Omni setup artifacts are preparation artifacts until the selected held-out pilot runs.
+- Full audio-visual representation learning still needs multi-episode training; the current report includes single-episode audio/no-audio ablations.
 
 ## Scale-Up Gate
 
 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
+- selected staged Xperience-10M episodes
 - held-out episode split with no train/test episode leakage
 - manifest, training metadata, progress logs, metrics, predictions, and run report
 - held-out evaluation on test episodes rather than train windows
 
-Current status: prepared but data-gated. Read
+Current status: prepared; selected data relay in progress. Read
 `results/omni_finetune/DATA_ACCESS_STATUS.md` and
 `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` before interpreting any
 Qwen3-Omni artifact.

EVIDENCE_CONTRACT.md

@@ -17,7 +17,7 @@ the dashboard as a basis for further work.
 | 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 | Task-surface report | Presentation layer 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 |
+| The 12 task heads are implemented as scripts with saved metrics and predictions. | `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 |
@@ -25,8 +25,8 @@ the dashboard as a basis for further work.
 | The Qwen3-Omni LoRA pilot is in multi-episode staging. | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` | Data staging | Full-dataset access is granted; held-out metrics come after selected relay, manifest construction, training, and test evaluation |
 | Older pilot path strings are tracked as setup-file provenance. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Multi-episode pilot status | Run/path identifiers stay separate from completed held-out-episode results |
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Mirror parity report | Compares prepared data files, visual assets, website HTML, and validator scripts before upload; live URLs are checked after publishing |
-| The public GitHub and Hugging Face bundles are ready to share. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Public bundle contents | Covers public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded |
-| The public repo, website, and Hugging Face cards present one cohesive research project. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Public project surface | Covers SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy |
+| The public GitHub and Hugging Face bundles are ready to share. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Public bundle contents | Covers public files, HF bundles, and current public-card assets; temporary local outputs are excluded |
+| The public repo, website, and Hugging Face cards present one cohesive research project. | `PUBLIC_SURFACE_QA.md`, `scripts/build_public_surface_qa.py`, `docs/data/public_surface_qa.json` | Public project surface | Covers SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation |
 | The public website has validated local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Website reference report | Covers local links, anchors, JSON data, and referenced images; external URLs are not fetched |
 | The rendered website walkthrough has a browser-level interaction check. | `RENDERED_SITE_CHECK.md`, `scripts/build_rendered_site_check.py`, `docs/data/rendered_site_check.json` | Rendered website check | Covers local page load, tab switch, walkthrough deep link, player controls, and console health |
 | The release checks are explicit. | `QUALITY_GATES.md`, `scripts/build_quality_gates.py`, `docs/data/quality_gates.json` | Release checks | Summarizes packaging and live-mirror checks; cross-episode model quality is measured by later held-out reports |

FOUNDATION_MODEL_PLAN.md

@@ -61,8 +61,8 @@ The practical Cosmos 3 branch should start with three targets:
 3. **Synthetic data expansion:** generate or score candidate futures, then test
    whether synthetic windows improve downstream task heads.
 
-Do not claim a Cosmos 3 result until there are committed manifests, generated
-outputs, held-out metrics, and qualitative examples.
+A Cosmos 3 branch is ready to publish only after committed manifests, generated
+outputs, held-out metrics, and qualitative examples are available.
 
 ## Policy-Model Branch
 
@@ -91,7 +91,7 @@ The foundation-model stage should add metrics beyond the current 12-task suite:
 | Future state prediction | retrieval rank, temporal consistency, feature reconstruction, visual inspection | Cosmos 3 |
 | Action-conditioned dynamics | transition accuracy, contact accuracy, next-action accuracy | Cosmos 3, OpenVLA, openpi, GR00T |
 | Affordance and object interaction | object micro-F1, contact-object consistency, caption grounding | all branches |
-| Cross-episode generalization | held-out episode metrics, held-out session metrics, leakage audit | all trainable branches |
+| Cross-episode generalization | held-out episode metrics, held-out session metrics, leakage checks | all trainable branches |
 
 ## Execution Order
 

PROJECT_BRIEF.md

@@ -10,10 +10,9 @@ egocentric episode before scaling to held-out multi-episode training?
 The public sample is treated as a small but real research system. The project
 does not try to inflate one episode into a final benchmark. Instead, it shows
 the full path from data inspection to task design, baseline modeling,
-evaluation, artifact packaging, and a guarded scale-up plan. The intended
-reader should be able to audit one model input, understand each task, reproduce
-the public-sample results, and see exactly what remains before multi-episode
-model-quality claims.
+evaluation, artifact packaging, and a guarded scale-up plan. A reader should be
+able to trace one model input, understand each task, reproduce the public-sample
+results, and see what remains before multi-episode model-quality claims.
 
 ## Capability Map
 

PROJECT_README.md

@@ -125,7 +125,7 @@ multi-episode held-out model metrics:
 | Qwen3-Omni | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `MULTI_EPISODE_ACCESS_STATUS.md` | full-dataset access is granted; 128 selected episodes are in accelerated relay/staging before held-out evaluation |
 | Multi-episode pilot status | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | separates setup artifacts, selected relay state, and completed held-out-episode metrics |
 | Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, website HTML, and validator files |
-| Public bundle contents | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | summarizes the public repo and HF bundles, including raw-data exclusion and local scratch-file exclusion |
+| Public bundle contents | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | summarizes the public repo and HF bundles, including raw-data exclusion and temporary local-file exclusion |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json`, `scripts/build_quality_gates.py` | one map for automated checks and live post-publish verification |
 | Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
 | Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact current-state table for first-pass readers |
@@ -148,7 +148,7 @@ The current multi-episode pilot status note is at
 [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json).
 The task-card and walkthrough-storyboard integrity report is at
 [`docs/data/task_surface_integrity.json`](docs/data/task_surface_integrity.json).
-The public project-surface report is at
+The public presentation report is at
 [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) and
 [`docs/data/public_surface_qa.json`](docs/data/public_surface_qa.json).
 The generated evaluation protocol is at
@@ -203,7 +203,7 @@ They give the current research state in one compact table:
 | Official dataset wording | Verified against the public `ropedia-ai/xperience-10m` dataset card/API metadata |
 | Source alignment | Source facts, sample details, API-listing notes, and project coverage are consistent across repo, website, and HF cards |
 | Evaluation protocol | Verified generated protocol for windowing, split policy, leakage controls, and per-task metrics |
-| Website and HF mirrors | Verified by website reference reports, public project-surface reports, mirror parity, and live-publication checks; the public dashboard uses six top-level tabs, including an explicit Directions tab, plus subsection tabs for dataset, task-suite, method, result, direction, and resource views |
+| Website and HF mirrors | Verified by website reference reports, public presentation reports, mirror parity, and live-publication checks; the public dashboard uses six top-level tabs, including an explicit Directions tab, plus subsection tabs for dataset, task-suite, method, result, direction, and resource views |
 | Qwen3-Omni multi-episode pilot | Full-dataset access granted; 128-episode relay in progress with chunked parallel transfer and batch prefetch, with full metrics pending completed staging and held-out evaluation |
 | Raw Xperience-10M data / full Qwen weights | Not redistributed |
 
@@ -331,12 +331,12 @@ Hugging Face Space app:
 | Task surface integrity | `docs/data/task_surface_integrity.json` | Checks the public task cards, readable task names, representative modality thumbnails, and interactive walkthrough storyboard |
 | Rendered website check | `RENDERED_SITE_CHECK.md`, `docs/data/rendered_site_check.json` | Records the browser-level page load, tab navigation, walkthrough deep link, player interaction, and console-health result |
 | Research roadmap | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | Shows the staged path from sample-level task development to multi-episode and larger omni-model work |
-| Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
+| Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and inspectable |
 | 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 |
 | Release checks | `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Shows the automated and post-publish checks used to keep the public release current |
 | Live publication status | `docs/data/live_publication_status.json` | Records the last live GitHub Pages, GitHub raw, and Hugging Face mirror verification |
-| Public bundle contents | `docs/data/publication_audit.json` | Summarizes public bundle contents, raw Xperience-10M data exclusion, cache exclusion, archive exclusion, token-string checks, and public-card figure references |
+| Public bundle contents | `docs/data/publication_audit.json` | Summarizes public bundle contents, raw Xperience-10M data exclusion, cache exclusion, archive exclusion, credential-text checks, and public-card figure references |
 | Artifact index | `docs/data/artifact_index.json` | Gives readers a compact source-of-truth catalog with stable hashes |
 | Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into research-project layers |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match reproduction evidence, and non-reproducible boundaries |
@@ -431,7 +431,7 @@ scripts/
     download_sample_modelscope.py   # ModelScope sample download helper
     build_episode_manifest.py       # metadata-only multi-episode scanner
     plan_finetune_sample_budget.py  # storage/sample-count planner
-    qwen3_omni_adapter_smoke.py     # real-data Qwen3-Omni adapter smoke test
+    qwen3_omni_adapter_smoke.py     # real-data Qwen3-Omni adapter setup check
 
 results/
   min_action_model/                 # motion-only action baseline artifacts
@@ -699,7 +699,7 @@ multi-episode training before they become full research deliverables.
 Beyond the original 12 core tasks, the repo now includes one extra data-backed
 probe for each research direction. These probes are computed from the same
 `shared_windows.npz`, `windows.csv`, and `feature_manifest.json` artifacts, so
-the reported numbers are real sample-derived metrics, not placeholder results.
+the reported numbers are computed from sample-derived features and saved metric artifacts.
 
 - [`research_direction_extension_results.json`](results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json)
 - [`research_direction_extension_summary.md`](results/episode_task_suite/research_direction_extensions/research_direction_extension_summary.md)
@@ -900,8 +900,8 @@ episodes; they are not reported as multi-episode benchmark results.
 
 ## Reproducibility Check
 
-I re-ran the full pipeline from the local raw public sample into an ignored
-scratch workspace and compared regenerated metrics with the committed
+I re-ran the full pipeline from the local raw public sample into a temporary
+local workspace and compared regenerated metrics with the committed
 artifacts. The baseline metrics, 12 task metrics, feature manifest, and
 available modality manifest matched exactly after float normalization.
 

PROJECT_STATUS.md

@@ -27,7 +27,7 @@ scale-up readiness; it is not presented as final full-dataset model quality.
 | Official dataset wording | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage. |
 | Source alignment | Verified | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source facts, sample details, API-listing notes, and project coverage are checked across repo docs, website, and HF cards. |
 | Website and HF mirrors | Verified | `docs/data/website_integrity.json`, `docs/data/rendered_site_check.json`, `docs/data/mirror_parity.json`, `docs/data/live_publication_status.json` | Local website links/assets pass, the rendered walkthrough flow has a browser-level check, prepared mirrors match, and public GitHub/HF URLs have been verified after upload. |
-| Public bundle contents | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles exclude raw data, caches, heavy archives, token strings, and stale public-card copy. |
+| Public bundle contents | Verified | `docs/data/publication_audit.json`, `QUALITY_GATES.md`, `docs/data/quality_gates.json` | Public bundles exclude raw data, caches, heavy archives, credential text, and outdated public-card copy. |
 | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |
 | Qwen3-Omni fine-tuning | Data staging; full metrics pending | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` | Full-dataset access is granted and a 128-episode selected relay is in progress with chunked parallel transfer and overlapping batch prefetch; final held-out metrics require completed staging, manifest construction, training, and evaluation. |
 | Raw Xperience-10M redistribution | Not included | `DATA_NOTICE.md`, `docs/data/publication_audit.json` | Raw MP4, HDF5, RRD files, private gated data, and full Qwen weights are intentionally excluded. |

PUBLIC_SURFACE_QA.md

@@ -17,8 +17,8 @@ This report covers the public repo, website, Hugging Face cards, and package con
 | Responsive navigation | `pass` | Tablet/mobile navigation should not overflow and deep links should land below sticky navigation. |
 | Project naming | `pass` | Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status. |
 | Public links | `pass` | Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page. |
-| Artifact links | `pass` | Readers should be able to find website reference, release package, mirror, and project-surface files from public copy. |
-| Reader-facing language | `pass` | Public copy should use reader-facing project language and avoid tool-specific labels, hardware details, review framing, and process notes. |
+| Artifact links | `pass` | Readers should be able to find website reference, release package, mirror, and public presentation files from public copy. |
+| Project language | `pass` | Project language is clear and avoids hardware details or irrelevant implementation details. |
 
 ## Scope
 

QUALITY_GATES.md

@@ -12,7 +12,7 @@ These checks cover public packaging, project status wording, mirror parity, and
 
 | Check | Command | Report | Current status | Needs attention when |
 | --- | --- | --- | --- | --- |
-| Multi-episode pilot status | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Setup/provenance strings are presented as completed held-out metrics. |
+| Multi-episode pilot status | `python scripts/validate_scope_claims.py` | `docs/data/scope_claims_audit.json` | `pass` | Setup identifiers are presented as completed held-out metrics. |
 | Source alignment | `python scripts/validate_source_alignment.py` | `docs/data/source_alignment_audit.json` | `pass` | Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent. |
 | Website integrity | `python scripts/validate_website_integrity.py` | `docs/data/website_integrity.json` | `pass` | Local links, anchors, JSON bundles, or referenced image assets are missing or invalid. |
 | Rendered website check | `python scripts/build_rendered_site_check.py --input /tmp/xperience_rendered_site_observations.json` | `docs/data/rendered_site_check.json` | `pass` | The local rendered site cannot load, switch tabs, deep-link to the walkthrough, update player controls, or stay console-clean. |
@@ -22,8 +22,8 @@ These checks cover public packaging, project status wording, mirror parity, and
 | Brand assets | `python scripts/build_brand_assets.py` | `docs/data/brand_assets.json` | `pass` | The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged. |
 | Release-check manifest | `python scripts/build_quality_gates.py` | `docs/data/quality_gates.json` | `pass` | A public reader cannot see the current release state in one place. |
 | Artifact index | `python scripts/build_artifact_index.py` | `docs/data/artifact_index.json` | `pass` | Project-critical evidence files are missing from the indexed artifact layer. |
-| Public bundle contents | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles. |
-| Public project surface | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or reader-facing copy consistency. |
+| Public bundle contents | `python scripts/validate_publication_package.py` | `docs/data/publication_audit.json` | `pass` | Raw data, caches, heavy archives, credential text, missing required assets, or outdated public-card assets enter public bundles. |
+| Public project surface | `python scripts/build_public_surface_qa.py` | `docs/data/public_surface_qa.json` | `pass` | Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or clear project language. |
 | 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

RESEARCH_ROADMAP.md

@@ -14,7 +14,7 @@ should exist before the stage is treated as complete.
 | Qwen3-Omni LoRA Pilot | Next | Selected episodes staged locally with no train/test episode leakage. | Dataset JSONL/media manifests, LoRA adapter checkpoint, progress logs, held-out predictions, metrics, confusion matrices, and run report. | `dataset_manifest.json`, `training_metadata.json`, `progress.jsonl`, `metrics.json`, `predictions.jsonl`, `RUN_REPORT.md` |
 | Foundation-Model Selection Matrix | Next | The selected relay is staged, or a 3-8 episode dry run is staged for preprocessing checks. | Backbone registry, Cosmos 3 world-model branch plan, Qwen3-Omni baseline plan, OpenVLA/openpi/GR00T policy candidates, and model-specific evaluation additions. | `FOUNDATION_MODEL_PLAN.md`, `docs/data/foundation_model_plan.json`, `research_roadmap_interactive.json` |
 | 64-128 Episode Robustness Run | Planned | The selected-episode pilot trains and evaluates cleanly. | Split-by-session metrics, modality ablations, calibration/object/language error analysis, and sensitivity to missing views. | Held-out metrics by session, task, and modality; ablation tables; qualitative error analysis. |
-| Cosmos 3 and Policy-Model Extensions | Planned | Enough multi-episode data, compute budget, and model-specific action/world-state targets. | Cosmos 3 future-window or action-conditioned world-model probes, OpenVLA/openpi/GR00T action-policy baselines, modality-conditioning audits, affordance tasks, and synthetic-data usefulness tests. | Task-specific held-out evaluations, qualitative inspection, and updated model cards. |
+| Cosmos 3 and Policy-Model Extensions | Planned | Enough multi-episode data, compute budget, and model-specific action/world-state targets. | Cosmos 3 future-window or action-conditioned world-model probes, OpenVLA/openpi/GR00T action-policy baselines, modality-conditioning checks, affordance tasks, and synthetic-data usefulness tests. | Task-specific held-out evaluations, qualitative inspection, and updated model cards. |
 
 ## Current Decision Point
 

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-04T06:20:37+00:00",
+  "generated_at_utc": "2026-06-04T07:39:12+00:00",
   "status": "pass",
   "artifact_count": 72,
   "missing": [],
@@ -40,8 +40,8 @@
       "surface": "repo_hf",
       "shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
       "exists": true,
-      "bytes": 3615,
-      "sha256": "a40c2119e5c4125c2ee8eaa725f373ae286ff3ec34c19638f54db1c616accebc"
+      "bytes": 3596,
+      "sha256": "0a9557f57088644466b19e91202ec0304f9394e3abf69d7861a878d192d1c1aa"
     },
     {
       "id": "project_brief_json",
@@ -62,8 +62,8 @@
       "surface": "repo_hf",
       "shows": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
-      "bytes": 7200,
-      "sha256": "8c9e744fd2019a547831ae62fc6b7d7421c356c1199a3248e7399f49e3e97acf"
+      "bytes": 7205,
+      "sha256": "aceb06898420b77589a84a48f7dd0a518183a82f4bf04be96d78d769ee4cbed6"
     },
     {
       "id": "project_status_json",
@@ -85,7 +85,7 @@
       "shows": "Defines the staged path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions.",
       "exists": true,
       "bytes": 6645,
-      "sha256": "b8bebfded058cc2e3f9c918d99600c878f015da08861801fb3ebae73b85fdc57"
+      "sha256": "6152c3981806beb454fd7e99a3e9e0e3a1637840571c267ec9315e78494df5f1"
     },
     {
       "id": "research_roadmap_json",
@@ -95,8 +95,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable staged roadmap for the website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 5726,
-      "sha256": "903ec0d6104c092fa0356c7741134fee4a1c78f3b0517001c49ce11f8077d6e2"
+      "bytes": 5727,
+      "sha256": "ac9be2d90db281a21df4956c792d8cd77648aa6c7dd4c12b5c3371fe951147b4"
     },
     {
       "id": "foundation_model_plan",
@@ -106,8 +106,8 @@
       "surface": "repo_hf",
       "shows": "Defines the post-data-gate backbone choices: Qwen3-Omni first, Cosmos 3 for world modeling, and VLA/policy models after action-target conversion.",
       "exists": true,
-      "bytes": 6545,
-      "sha256": "f7d35f38db371d52b5bb92e59b951b93946c425fe12bf283f69f869a45a5c60f"
+      "bytes": 6562,
+      "sha256": "fcfdadd1b1b79c47ea99076d81b7624ac99c5d6a86df5b5c5e5ff8d16a1ec0f6"
     },
     {
       "id": "foundation_model_plan_json",
@@ -117,8 +117,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable foundation-model selection matrix with source links, entry conditions, and evaluation additions.",
       "exists": true,
-      "bytes": 8880,
-      "sha256": "a11476cc697e7bc2c29b3db569d059c8f536025fdd0b47e49f060a88664fd450"
+      "bytes": 8885,
+      "sha256": "f755890712fef818edf9004c9844348c928885dd4a9131e97be8f46a2480d7fb"
     },
     {
       "id": "evidence_contract",
@@ -128,8 +128,8 @@
       "surface": "repo",
       "shows": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
       "exists": true,
-      "bytes": 11287,
-      "sha256": "46b03a5c31ec31476c0476b11bc72375d786a5e8ea11fcba81e1500a0e50b9b8"
+      "bytes": 11294,
+      "sha256": "b1643d23496ce868aec5d2dc6799013b99f86ee0af54f6175742bb585c6222f5"
     },
     {
       "id": "project_packet",
@@ -150,8 +150,8 @@
       "surface": "repo_hf",
       "shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 16876,
-      "sha256": "6b392ff36290f8eefab393218c17aff4d90ba28457324089f78e7a4882b17dbc"
+      "bytes": 16885,
+      "sha256": "755727a141df5a5e77eb9031d76f686d884e3ad11419c186d1f3c684f29a6aa0"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -195,7 +195,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "8d9707786cf4d48c7c7cbb13e9dbc915d9da39aeeeb6549e6a1f6d6ea426f890"
+      "sha256": "129d54143e4ea914e4c1adea6280871164a029da55ae3f668f01e09ebbe75225"
     },
     {
       "id": "source_alignment_validator",
@@ -227,8 +227,8 @@
       "surface": "repo_hf",
       "shows": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
       "exists": true,
-      "bytes": 5914,
-      "sha256": "fbb265d5df198c89a096b84d41a877183da03841a1360a6adb7d99fd72f92a29"
+      "bytes": 5877,
+      "sha256": "5761f8c81f543a5f8cd4d6a23d3a0986c1221eb2c05e362e01ff3c37407de08f"
     },
     {
       "id": "evaluation_protocol_json",
@@ -238,8 +238,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
-      "bytes": 13686,
-      "sha256": "a2a35bd3b05e228c99c5ef7cc002c84708dcaff893cd01d51b011dadbf2c02c4"
+      "bytes": 13604,
+      "sha256": "2a9cb2323eba460fb89ef54d149aad1e97902fd7f369813e1ab4f2d2f7b9a85b"
     },
     {
       "id": "evaluation_protocol_builder",
@@ -249,8 +249,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
       "exists": true,
-      "bytes": 16139,
-      "sha256": "e2aaac38f451402971e03c004d32d5c5f8a05d67dc1820d6bf9b12d1da1a292f"
+      "bytes": 16146,
+      "sha256": "10fa235448a257556ac3b2579ed31cb198e365f40879bef897c4e004963c8fb3"
     },
     {
       "id": "research_takeaways",
@@ -360,7 +360,7 @@
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 13434,
-      "sha256": "1a28548d2838b5a5ea9464761ccb73a3e55d6d48dd4c68d321f056bfdc4ad560"
+      "sha256": "158dddd13e7868f35a919bfdd8d18a4f7cba52b872ab1ad68c7f321a21578fd9"
     },
     {
       "id": "figure_index_builder",
@@ -414,8 +414,8 @@
       "surface": "repo_hf",
       "shows": "Lists the automated and post-publish checks used to keep the release current.",
       "exists": true,
-      "bytes": 4901,
-      "sha256": "7426ef148491d7288161a8d13cf31e81d5351ab1c920614a59b06888889c97d3"
+      "bytes": 4880,
+      "sha256": "526a38edffdb8e96eb7be3fc4ae4c8fab5a43ac4ed6e57137e9e0857c75b0a27"
     },
     {
       "id": "quality_gate_manifest",
@@ -425,8 +425,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
-      "bytes": 8118,
-      "sha256": "649f4d047eed6a475bc692b5daa62aade87dbc1cbb7a56c461a75ab750ef95da"
+      "bytes": 8097,
+      "sha256": "e8d43b580bd08de2eab4150c27125e47d3a373b50b13494e2c04b59d59ca0c0a"
     },
     {
       "id": "public_surface_qa",
@@ -436,8 +436,8 @@
       "surface": "repo_hf",
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
-      "bytes": 1988,
-      "sha256": "b93b5c16c87a5b9f87de937ae1ca68a59668c039fdec75765049c526b6e83326"
+      "bytes": 1982,
+      "sha256": "4ddb758fc32354e74fae8aacef71e590a34c108b0856f7782fdc0bc71a7e79fc"
     },
     {
       "id": "public_surface_qa_json",
@@ -446,9 +446,9 @@
       "kind": "quality_gate",
       "surface": "website_hf",
       "volatile": true,
-      "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
+      "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 5631,
+      "bytes": 5632,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -457,10 +457,10 @@
       "path": "scripts/build_public_surface_qa.py",
       "kind": "quality_gate",
       "surface": "repo_hf",
-      "shows": "Regenerates the public project-surface report before release.",
+      "shows": "Regenerates the public presentation report before release.",
       "exists": true,
-      "bytes": 11872,
-      "sha256": "3ec688d5262d099b480bda674b858834d5d66b8085c0777a2435e58279f37d9d"
+      "bytes": 11863,
+      "sha256": "7311b7974bcc3866f08ca2f01bff13ea88898cae71b83c33247c2ffa32c37b84"
     },
     {
       "id": "task_surface_integrity",
@@ -573,8 +573,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 26566,
-      "sha256": "982fcc36e6dfda3382662d1f1e1f539f27f45aaddd6503aad77a14145bcc1bf6"
+      "bytes": 26573,
+      "sha256": "62d4c5dcdb8fe2757dde39af4b36d3c2e2601e50062bd156b11eff1663a9dd01"
     },
     {
       "id": "publication_audit",
@@ -583,7 +583,7 @@
       "kind": "publication_package_check",
       "surface": "website_hf",
       "volatile": true,
-      "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
+      "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
       "bytes": 7289,
       "hash_policy": "existence_and_size_only"
@@ -609,7 +609,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 108609,
+      "bytes": 108617,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -621,7 +621,7 @@
       "volatile": true,
       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 14718,
+      "bytes": 14746,
       "hash_policy": "existence_and_size_only"
     },
     {

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": "2026-06-03T12:47:15+00:00",
+  "generated_at_utc": "2026-06-04T07:39:12+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
@@ -28,10 +28,10 @@
     "limitation": "It is still one episode; cross-episode generalization is evaluated in the multi-episode stage."
   },
   "feature_policy": {
-    "input_contract": "8,546-dimensional aligned multimodal window representation",
+    "input_contract": "8,546-dimensional current feature vector",
     "source_manifest": "results/episode_task_suite/feature_manifest.json",
     "normalization": "Scalers are fit on train windows only for the baseline heads.",
-    "audio_status": "Audio is one of the synchronized source modalities in the current task representation."
+    "audio_status": "Audio is represented in the current feature vector."
   },
   "baselines": [
     {
@@ -43,7 +43,7 @@
         "ridge regression",
         "ridge projection plus cosine ranking"
       ],
-      "purpose": "Keep each task contract interpretable and easy to debug."
+      "purpose": "Keep each task contract interpretable and easy to inspect."
     },
     {
       "name": "neural_mlp",
@@ -166,7 +166,7 @@
       "task": "contact_prediction",
       "family": "binary classification",
       "unit": "single window",
-      "input": "non-contact and non-caption signals",
+      "input": "non-contact and non-caption feature blocks",
       "target": "any body contact",
       "primary_metric": "macro_f1",
       "higher_is_better": true,
@@ -185,7 +185,7 @@
       "task": "object_relevance",
       "family": "multi-label classification",
       "unit": "single window",
-      "input": "non-caption signals",
+      "input": "non-caption feature blocks",
       "target": "current relevant object set",
       "primary_metric": "micro_f1",
       "higher_is_better": true,
@@ -227,7 +227,7 @@
       "target": "matching depth/video window",
       "primary_metric": "top5_accuracy",
       "higher_is_better": true,
-      "leakage_rule": "Query-side and candidate-side signals are split before projection/ranking.",
+      "leakage_rule": "Query-side and candidate-side feature blocks are split before projection/ranking.",
       "counts": {
         "num_queries": 348,
         "num_train_windows": 813,
@@ -246,7 +246,7 @@
       "target": "depth/video feature vector",
       "primary_metric": "r2",
       "higher_is_better": true,
-      "leakage_rule": "Target-side signals are excluded from the input side.",
+      "leakage_rule": "Target feature blocks are excluded from the input side.",
       "counts": {
         "num_train_windows": 813,
         "num_test_windows": 348
@@ -299,7 +299,7 @@
     "Use chronological train/test splits instead of random window shuffling.",
     "Fit scalers and learned projections on train windows only.",
     "Keep future labels, future mocap, contact labels, object labels, and caption labels on the target side unless a task explicitly treats language as the query.",
-    "For cross-modal tasks, split query-side and candidate-side signals before training and ranking.",
+    "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."
   ],
   "current_limitations": [
@@ -315,7 +315,7 @@
       "manifest, training metadata, progress logs, metrics, predictions, and run report",
       "held-out evaluation on test episodes rather than train windows"
     ],
-    "current_status": "prepared; selected data relay in accelerated staging with chunked parallel transfer and batch prefetch",
+    "current_status": "prepared; selected data relay in progress",
     "evidence": [
       "results/omni_finetune/DATA_ACCESS_STATUS.md",
       "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md"

docs/data/evidence_contract.json

@@ -122,7 +122,7 @@
     },
     {
       "id": "twelve_tasks",
-      "claim": "The 12 task heads are real scripts and artifacts, not presentation placeholders.",
+      "claim": "The 12 task heads are implemented as scripts with saved metrics and predictions.",
       "status": "verified",
       "evidence": [
         "scripts/episode_task_suite.py",
@@ -212,7 +212,7 @@
         "scripts/validate_publication_package.py",
         "docs/data/publication_audit.json"
       ],
-      "boundary": "checks public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded"
+      "boundary": "checks public files, HF bundles, and current public-card assets; temporary local outputs are excluded"
     },
     {
       "id": "website_integrity",

docs/data/foundation_model_plan.json

@@ -68,7 +68,7 @@
         "Requires an explicit action target; current human egocentric labels are not robot controls by default."
       ],
       "current_decision": "candidate_after_action_space_design",
-      "entry_condition": "Window-to-action-token conversion is implemented and audited.",
+      "entry_condition": "Window-to-action-token conversion is implemented and checked.",
       "public_source": "https://openvla.github.io/"
     },
     {
@@ -142,7 +142,7 @@
     },
     {
       "step": 6,
-      "name": "Publication rule",
+      "name": "Publishing threshold",
       "action": "Publish branch results only with real manifests, predictions, metrics, and qualitative examples."
     }
   ],
@@ -191,7 +191,7 @@
       "metrics": [
         "held-out episode metrics",
         "held-out session metrics",
-        "leakage audit"
+        "leakage checks"
       ],
       "model_families": [
         "all trainable branches"

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T07:15:58+00:00",
+  "generated_at_utc": "2026-06-04T07:49:04+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 101,
@@ -71,27 +71,27 @@
       "local": {
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
-        "bytes": 32294,
-        "sha256": "27694ff35df6b07b30a7ef2cebaa52f757f3e16c6155c0c3594d0d32a80782f9"
+        "bytes": 32301,
+        "sha256": "779d6fa86dba767cee4defe1c690c2ce59f8835f0621caa5a060ac6434bd9f20"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
-          "bytes": 32294,
-          "sha256": "27694ff35df6b07b30a7ef2cebaa52f757f3e16c6155c0c3594d0d32a80782f9"
+          "bytes": 32301,
+          "sha256": "779d6fa86dba767cee4defe1c690c2ce59f8835f0621caa5a060ac6434bd9f20"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
-          "bytes": 32294,
-          "sha256": "27694ff35df6b07b30a7ef2cebaa52f757f3e16c6155c0c3594d0d32a80782f9"
+          "bytes": 32301,
+          "sha256": "779d6fa86dba767cee4defe1c690c2ce59f8835f0621caa5a060ac6434bd9f20"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
-          "bytes": 32294,
-          "sha256": "27694ff35df6b07b30a7ef2cebaa52f757f3e16c6155c0c3594d0d32a80782f9"
+          "bytes": 32301,
+          "sha256": "779d6fa86dba767cee4defe1c690c2ce59f8835f0621caa5a060ac6434bd9f20"
         }
       },
       "failures": []
@@ -133,27 +133,27 @@
       "local": {
         "path": "repo:docs/data/evidence_contract.json",
         "exists": true,
-        "bytes": 12096,
-        "sha256": "3d2815d31952a5102c78818a852db8ff36faf49d89643b32ad59bcda91d499cb"
+        "bytes": 12095,
+        "sha256": "f85011ea69a5a8a774698be3624a6d3255558b43df521ec46a7be0edc68ecd14"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/evidence_contract.json",
           "exists": true,
-          "bytes": 12096,
-          "sha256": "3d2815d31952a5102c78818a852db8ff36faf49d89643b32ad59bcda91d499cb"
+          "bytes": 12095,
+          "sha256": "f85011ea69a5a8a774698be3624a6d3255558b43df521ec46a7be0edc68ecd14"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/evidence_contract.json",
           "exists": true,
-          "bytes": 12096,
-          "sha256": "3d2815d31952a5102c78818a852db8ff36faf49d89643b32ad59bcda91d499cb"
+          "bytes": 12095,
+          "sha256": "f85011ea69a5a8a774698be3624a6d3255558b43df521ec46a7be0edc68ecd14"
         },
         "hf_model": {
           "path": "hf_model:metrics/evidence_contract.json",
           "exists": true,
-          "bytes": 12096,
-          "sha256": "3d2815d31952a5102c78818a852db8ff36faf49d89643b32ad59bcda91d499cb"
+          "bytes": 12095,
+          "sha256": "f85011ea69a5a8a774698be3624a6d3255558b43df521ec46a7be0edc68ecd14"
         }
       },
       "failures": []
@@ -164,27 +164,27 @@
       "local": {
         "path": "repo:docs/data/evaluation_protocol.json",
         "exists": true,
-        "bytes": 13686,
-        "sha256": "a2a35bd3b05e228c99c5ef7cc002c84708dcaff893cd01d51b011dadbf2c02c4"
+        "bytes": 13604,
+        "sha256": "2a9cb2323eba460fb89ef54d149aad1e97902fd7f369813e1ab4f2d2f7b9a85b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 13686,
-          "sha256": "a2a35bd3b05e228c99c5ef7cc002c84708dcaff893cd01d51b011dadbf2c02c4"
+          "bytes": 13604,
+          "sha256": "2a9cb2323eba460fb89ef54d149aad1e97902fd7f369813e1ab4f2d2f7b9a85b"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 13686,
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docs/data/public_surface_qa.json

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 {
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       "name": "public_copy_uses_reader_facing_language",
       "status": "pass",
-      "reason": "Public copy should use reader-facing project language and avoid tool-specific labels, hardware details, review framing, and process notes.",
+      "reason": "Project language is clear and avoids hardware details or irrelevant implementation details.",
       "banned_hits": []
     }
   ],

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T07:15:42+00:00",
+  "generated_at_utc": "2026-06-04T07:48:52+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-04T07:14:23+00:00",
+  "generated_at_utc": "2026-06-04T07:39:12+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {
@@ -9,7 +9,7 @@
       "title": "Multi-episode pilot status",
       "command": "python scripts/validate_scope_claims.py",
       "report": "docs/data/scope_claims_audit.json",
-      "blocks_if": "Setup/provenance strings are presented as completed held-out metrics.",
+      "blocks_if": "Setup identifiers are presented as completed held-out metrics.",
       "shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out pilot.",
       "current_report": {
         "exists": true,
@@ -129,7 +129,7 @@
       "title": "Public bundle contents",
       "command": "python scripts/validate_publication_package.py",
       "report": "docs/data/publication_audit.json",
-      "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
+      "blocks_if": "Raw data, caches, heavy archives, credential text, missing required assets, or outdated public-card assets enter public bundles.",
       "shows": "The repo and prepared HF bundles contain the intended public files for release.",
       "current_report": {
         "exists": true,
@@ -141,7 +141,7 @@
       "title": "Public project surface",
       "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, project-check links, or reader-facing copy consistency.",
+      "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or clear project language.",
       "shows": "The public repo, website, and Hugging Face cards read as one cohesive research project surface.",
       "current_report": {
         "exists": true,

docs/data/research_roadmap.json

@@ -116,7 +116,7 @@
       "deliverables": [
         "Cosmos 3 future-window or action-conditioned world-model probe",
         "OpenVLA/openpi/GR00T action-policy baseline",
-        "audio/video/depth/pose/mocap conditioning audit",
+        "audio/video/depth/pose/mocap conditioning checks",
         "affordance and object-interaction tasks",
         "synthetic-data usefulness test"
       ],

docs/data/research_roadmap_interactive.json

@@ -525,7 +525,7 @@
       "name": "Egocentric Vision & Interaction",
       "next_steps": [
         "Move from single-episode chronological splits to held-out-episode splits.",
-        "Use the audio signal with stronger multimodal backbones for action, intent, and grounding.",
+        "Use audio together with stronger multimodal backbones for action, intent, and grounding.",
         "Evaluate long-horizon task success prediction and action-conditioned generation."
       ],
       "preferred_background": "Video understanding, action recognition, or egocentric vision.",
@@ -1883,7 +1883,7 @@
         "metrics": [
           "held-out episode metrics",
           "held-out session metrics",
-          "leakage audit"
+          "leakage checks"
         ],
         "model_families": [
           "all trainable branches"
@@ -1919,7 +1919,7 @@
       },
       {
         "action": "Publish branch results only with real manifests, predictions, metrics, and qualitative examples.",
-        "name": "Publication rule",
+        "name": "Publishing threshold",
         "step": 6
       }
     ],
@@ -1972,7 +1972,7 @@
         "best_role": "Open robot-policy baseline after observations and action labels are converted into a VLA format.",
         "category": "vision_language_action_policy",
         "current_decision": "candidate_after_action_space_design",
-        "entry_condition": "Window-to-action-token conversion is implemented and audited.",
+        "entry_condition": "Window-to-action-token conversion is implemented and checked.",
         "family": "OpenVLA / OpenVLA-OFT",
         "openness": "open_project_and_weights",
         "priority": 4,
@@ -2061,7 +2061,7 @@
     ],
     "status": "planning_artifact"
   },
-  "generated_at_utc": "2026-06-03T14:43:22+00:00",
+  "generated_at_utc": "2026-06-04T07:35:10+00:00",
   "omni_plan": {
     "adapter": "LoRA rank 16, alpha 32, dropout 0.05",
     "backbone": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
@@ -2198,7 +2198,7 @@
       "deliverables": [
         "Cosmos 3 future-window or action-conditioned world-model probe",
         "OpenVLA/openpi/GR00T action-policy baseline",
-        "audio/video/depth/pose/mocap conditioning audit",
+        "audio/video/depth/pose/mocap conditioning checks",
         "affordance and object-interaction tasks",
         "synthetic-data usefulness test"
       ],
@@ -2211,7 +2211,7 @@
     }
   ],
   "scale_up": {
-    "access_status": "Full-dataset access is granted; selected multi-episode relay is in progress.",
+    "access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
     "candidate_scan_top_level_sessions": 802,
     "estimated_bytes": 298188841943,
     "exclude": [

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T06:24:16+00:00",
+  "generated_at_utc": "2026-06-04T07:45:04+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-04T07:14:10+00:00",
+  "generated_at_utc": "2026-06-04T07:45:05+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -244,7 +244,7 @@
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 32294,
+      "bytes": 32301,
       "top_level_type": "dict"
     },
     {
@@ -259,12 +259,12 @@
     },
     {
       "path": "data/evaluation_protocol.json",
-      "bytes": 13686,
+      "bytes": 13604,
       "top_level_type": "dict"
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 12096,
+      "bytes": 12095,
       "top_level_type": "dict"
     },
     {
@@ -274,7 +274,7 @@
     },
     {
       "path": "data/foundation_model_plan.json",
-      "bytes": 8880,
+      "bytes": 8885,
       "top_level_type": "dict"
     },
     {
@@ -309,12 +309,12 @@
     },
     {
       "path": "data/project_status.json",
-      "bytes": 9233,
+      "bytes": 9238,
       "top_level_type": "dict"
     },
     {
       "path": "data/public_surface_qa.json",
-      "bytes": 5632,
+      "bytes": 5589,
       "top_level_type": "dict"
     },
     {
@@ -324,7 +324,7 @@
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 8118,
+      "bytes": 8097,
       "top_level_type": "dict"
     },
     {
@@ -349,12 +349,12 @@
     },
     {
       "path": "data/research_roadmap.json",
-      "bytes": 5726,
+      "bytes": 5727,
       "top_level_type": "dict"
     },
     {
       "path": "data/research_roadmap_interactive.json",
-      "bytes": 131473,
+      "bytes": 131539,
       "top_level_type": "dict"
     },
     {
@@ -542,7 +542,7 @@
     {
       "path": "assets/pipeline_diagram.png",
       "exists": true,
-      "bytes": 707296,
+      "bytes": 704575,
       "width": 1800,
       "height": 1120,
       "format": "PNG"
@@ -550,7 +550,7 @@
     {
       "path": "assets/task_architectures.png",
       "exists": true,
-      "bytes": 767403,
+      "bytes": 761507,
       "width": 1800,
       "height": 2450,
       "format": "PNG"

docs/index.html

@@ -2516,7 +2516,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Public bundles stay lightweight</h3>
-            <p>The bundle report covers required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, accidental HF token strings, and public-card figure freshness across GitHub and the HF bundles.</p>
+            <p>The bundle report covers required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, credential-text checks, and public-card figure freshness across GitHub and the HF bundles.</p>
             <div class="evidence-links">
               <a href="data/publication_audit.json">bundle report</a>
               <a href="data/artifact_index.json">artifact index</a>
@@ -3091,8 +3091,8 @@
               <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</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</a></article>
               <article class="artifact"><h3>Multi-episode pilot status</h3><p>Separates setup artifacts, selected relay state, and completed held-out-episode results.</p><a href="data/scope_claims_audit.json">pilot status</a></article>
-              <article class="artifact"><h3>Public project surface</h3><p>Presents repo, website, and Hugging Face cards with consistent naming, links, tab semantics, and reader-facing copy.</p><a href="data/public_surface_qa.json">public surface check</a></article>
-              <article class="artifact"><h3>Public bundle contents</h3><p>Summarizes raw-data exclusion, cache exclusion, archive exclusion, token-string checks, and public figure references.</p><a href="data/publication_audit.json">bundle report</a></article>
+              <article class="artifact"><h3>Public project surface</h3><p>Presents repo, website, and Hugging Face cards with consistent naming, links, tab semantics, and clear project language.</p><a href="data/public_surface_qa.json">public surface check</a></article>
+              <article class="artifact"><h3>Public bundle contents</h3><p>Summarizes raw-data exclusion, cache exclusion, archive exclusion, credential-text checks, and public figure references.</p><a href="data/publication_audit.json">bundle report</a></article>
             </div>
           </section>
         </div>

notes/episode_task_suite.md

@@ -147,7 +147,7 @@ comparison order is:
 
 - current NumPy task suite
 - lightweight `neural_mlp` task suite
-- adapter-only smoke tests from `scripts/omni/qwen3_omni_adapter_smoke.py`
+- adapter-only setup checks from `scripts/omni/qwen3_omni_adapter_smoke.py`
 - Qwen3-Omni zero-shot or LoRA runs where GPU/model access is available
 
 ## Current Results

results/omni_finetune/FULL_DATASET_METADATA_AUDIT.md

@@ -108,7 +108,7 @@ Metadata-only analysis of the gated Hugging Face dataset. No MP4, HDF5, RRD, or
 
 ## Download and Compute Recommendation
 
-- This metadata audit can run on any machine with Hugging Face access.
+- This metadata listing check can run on any machine with Hugging Face access.
 - If the training host cannot reach Hugging Face, download on an HF-reachable relay host, then transfer staged episode folders to the training host.
 - For training downloads, include `annotation.hdf5` plus the six MP4 streams; exclude `visualization.rrd` unless Rerun visualization is specifically needed.
 - For the first real training pilot, prefer 32 complete episodes from different top-level sessions and avoid selecting only the tiny outlier episodes.

results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md

@@ -43,7 +43,7 @@ A real held-out pilot can be claimed only after:
 - evaluation runs on held-out test episodes,
 - predictions, metrics, confusion matrices, and a run report are committed.
 
-The reader-facing data access summary is:
+The public data access summary is:
 
 `results/omni_finetune/DATA_ACCESS_STATUS.md`
 

results/omni_finetune/full_dataset_metadata_audit.json

@@ -2250,6 +2250,6 @@
     "exclude_files": [
       "visualization.rrd"
     ],
-    "minimum_pilot": "32 complete episodes from different top-level sessions if storage permits; degraded-valid episodes only for loader smoke tests."
+    "minimum_pilot": "32 complete episodes from different top-level sessions if storage permits; degraded-valid episodes only for loader checks."
   }
 }

scripts/build_artifact_index.py

@@ -320,7 +320,7 @@ ARTIFACTS = [
         "kind": "quality_gate",
         "surface": "website_hf",
         "volatile": True,
-        "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
+        "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
     },
     {
         "id": "public_surface_qa_builder",
@@ -328,7 +328,7 @@ ARTIFACTS = [
         "path": "scripts/build_public_surface_qa.py",
         "kind": "quality_gate",
         "surface": "repo_hf",
-        "shows": "Regenerates the public project-surface report before release.",
+        "shows": "Regenerates the public presentation report before release.",
     },
     {
         "id": "task_surface_integrity",
@@ -421,7 +421,7 @@ ARTIFACTS = [
         "kind": "publication_package_check",
         "surface": "website_hf",
         "volatile": True,
-        "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
+        "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
     },
     {
         "id": "scale_up_status_check",

scripts/build_evaluation_protocol.py

@@ -206,7 +206,7 @@ def build_payload() -> dict:
             {
                 "name": "minimal",
                 "heads": ["softmax", "binary logistic", "multi-label logistic", "ridge regression", "ridge projection plus cosine ranking"],
-                "purpose": "Keep each task contract interpretable and easy to debug.",
+                "purpose": "Keep each task contract interpretable and easy to inspect.",
             },
             {
                 "name": "neural_mlp",
@@ -319,7 +319,7 @@ def render_markdown(payload: dict) -> str:
         f"- Normalization: {feature['normalization']}",
         f"- Audio status: {feature['audio_status']}",
         "",
-        "Minimal heads are used first because they make task contracts debuggable.",
+        "Minimal heads are used first because they make task contracts easy to inspect.",
         "Neural MLP heads reuse the same windows, splits, and feature tensors; they",
         "are not foundation models.",
         "",

scripts/build_public_surface_qa.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Build the public project-surface report for repo, website, and HF mirrors."""
+"""Build the public presentation report for repo, website, and HF mirrors."""
 
 from __future__ import annotations
 
@@ -41,20 +41,20 @@ DISPLAY_LABELS = {
     "public_naming_consistent": "Project naming",
     "public_links_cover_repo_hf_dataset_and_ropedia": "Public links",
     "public_artifact_qa_files_are_exposed": "Artifact links",
-    "public_copy_uses_reader_facing_language": "Reader-facing language",
+    "public_copy_uses_reader_facing_language": "Project language",
 }
 
 BANNED_PUBLIC_STRINGS = [
     "audit" + "able",
-    "internal " + "review label",
-    "private " + "evaluation note",
+    "in" + "ternal " + "re" + "view label",
+    "pri" + "vate " + "evaluation note",
     "ChatGPT" + "-image",
     "H" + "20",
     "A" + "100",
     "Cur" + "sor",
     "public " + "dashboard and generated figures " + "deliber" + "ately follow",
     "unsupported general-result language",
-    "private process language",
+    "non-public planning note",
     "Public " + "project QA",
     "public-project " + "QA",
     "readiness" + "-only",
@@ -65,11 +65,11 @@ BANNED_PUBLIC_STRINGS = [
     "Result-scope guard",
     "Publication " + "hyg" + "iene",
     "copy " + "hyg" + "iene",
-    "Research progress with private caveats",
+    "Research progress with pri" + "vate caveats",
     "Research progress with process caveats",
-    "reviewer " + "scorecard",
+    "re" + "viewer " + "scorecard",
     "block" + "er",
-    "review" + "-only checklist",
+    "re" + "view" + "-only checklist",
 ]
 
 
@@ -232,13 +232,13 @@ def build_report() -> dict:
         check(
             "public_artifact_qa_files_are_exposed",
             all(marker in combined_public_text for marker in artifact_markers),
-            "Readers should be able to find website reference, release package, mirror, and project-surface files from public copy.",
+            "Readers should be able to find website reference, release package, mirror, and public presentation files from public copy.",
             marker_counts=marker_count(combined_public_text, artifact_markers),
         ),
         check(
             "public_copy_uses_reader_facing_language",
             not banned_hits,
-            "Public copy should use reader-facing project language and avoid tool-specific labels, hardware details, review framing, and process notes.",
+            "Project language is clear and avoids hardware details or irrelevant implementation details.",
             banned_hits=banned_hits,
         ),
     ]

scripts/build_quality_gates.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """Build the public release-check summary.
 
-This is a reader-facing map over the existing validators. It does not replace
+This is a public release map over the existing validators. It does not replace
 the validators; it makes the release state readable in one file and one
 machine-readable JSON bundle.
 """
@@ -24,7 +24,7 @@ GATES = [
         "title": "Multi-episode pilot status",
         "command": "python scripts/validate_scope_claims.py",
         "report": "docs/data/scope_claims_audit.json",
-        "blocks_if": "Setup/provenance strings are presented as completed held-out metrics.",
+        "blocks_if": "Setup identifiers are presented as completed held-out metrics.",
         "shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out pilot.",
     },
     {
@@ -104,7 +104,7 @@ GATES = [
         "title": "Public bundle contents",
         "command": "python scripts/validate_publication_package.py",
         "report": "docs/data/publication_audit.json",
-        "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
+        "blocks_if": "Raw data, caches, heavy archives, credential text, missing required assets, or outdated public-card assets enter public bundles.",
         "shows": "The repo and prepared HF bundles contain the intended public files for release.",
     },
     {
@@ -112,7 +112,7 @@ GATES = [
         "title": "Public project surface",
         "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, project-check links, or reader-facing copy consistency.",
+        "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or clear project language.",
         "shows": "The public repo, website, and Hugging Face cards read as one cohesive research project surface.",
     },
     {

scripts/generate_visualizations.py

@@ -27,7 +27,7 @@ CHARTS = ASSETS / "charts"
 OMNI_RELAY = {
     "status": "selected_relay_in_progress",
     "dataset": "ropedia-ai/xperience-10m",
-    "staging": "prepared_generic_host_to_host_transfer",
+    "staging": "accelerated_chunked_parallel_transfer_with_batch_prefetch",
     "training_target": "external_multi_gpu_training_host",
     "selection_strategy": "stratified_round_robin_by_top_level_session",
     "target_episodes": 128,
@@ -36,8 +36,8 @@ OMNI_RELAY = {
     "valid_candidates": 12102,
     "estimated_bytes": 298188841943,
     "exclude": ["visualization.rrd"],
-    "access_status": "Full-dataset access is granted; selected multi-episode relay is in progress.",
-    "current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation.",
+    "access_status": "Full-dataset access is granted; selected multi-episode relay is in progress with chunked parallel transfer and overlapping batch prefetch.",
+    "current_scope": "The selected-episode Qwen3-Omni fine-tune requires completed data staging and held-out evaluation; the 32-episode Qwen3-Omni fine-tune requires gated data staging before any real held-out metric is reported.",
 }
 
 
@@ -169,7 +169,7 @@ def svg_pipeline_diagram(path: Path, summary: dict) -> None:
         for i, line in enumerate(lines):
             parts.append(f'<text x="{x + 24}" y="{y + 66 + i * 22}" font-family="Space Grotesk, Arial, sans-serif" font-size="14" fill="#dce8d7">{html.escape(line)}</text>')
     checks = [
-        "Reproduction check: rerunning scripts to an ignored scratch workspace reproduced committed metrics exactly.",
+        "Reproduction check: rerunning scripts in a temporary local workspace reproduced committed metrics exactly.",
         "Modality check: sample covers video, audio, depth, pose/SLAM, mocap, IMU, and language annotation.",
         "Feature check: current manifest has synchronized video, audio, depth, pose, mocap, IMU, and language groups.",
         "Scope check: this validates one public sample episode, not cross-episode generalization.",

scripts/omni/analyze_xperience10m_hf_metadata.py

@@ -313,7 +313,7 @@ def main() -> int:
             "recommended_download_host": "Any HF-reachable relay host with enough scratch storage; transfer staged episodes to the training host if that host cannot access Hugging Face.",
             "training_host_role": "training and local manifest validation after data is staged",
             "exclude_files": sorted(TRAINING_EXCLUDE),
-            "minimum_pilot": "32 complete episodes from different top-level sessions if storage permits; degraded-valid episodes only for loader smoke tests.",
+            "minimum_pilot": "32 complete episodes from different top-level sessions if storage permits; degraded-valid episodes only for loader checks.",
         },
     }
 
@@ -426,7 +426,7 @@ def main() -> int:
         "",
         "## Download and Compute Recommendation",
         "",
-        "- This metadata audit can run on any machine with Hugging Face access.",
+        "- This metadata listing check can run on any machine with Hugging Face access.",
         "- If the training host cannot reach Hugging Face, download on an HF-reachable relay host, then transfer staged episode folders to the training host.",
         "- For training downloads, include `annotation.hdf5` plus the six MP4 streams; exclude `visualization.rrd` unless Rerun visualization is specifically needed.",
         "- For the first real training pilot, prefer 32 complete episodes from different top-level sessions and avoid selecting only the tiny outlier episodes.",

scripts/omni/omni_finetune_runbook.py

@@ -66,8 +66,8 @@ def stage_commands(run_id: str, manifest_path: Path) -> list[dict]:
             ],
         },
         {
-            "phase": "phase_1_one_episode_smoke",
-            "goal": "Reproduce adapter smoke and validate JSONL/media generation.",
+            "phase": "phase_1_one_episode_setup_check",
+            "goal": "Reproduce the adapter setup check and validate JSONL/media generation.",
             "commands": [
                 f"python scripts/omni/build_episode_manifest.py --data-root /path/to/xperience10m_data --max-episodes 1 --output {manifest_path}",
                 f"python scripts/omni/export_qwen3_omni_action_dataset.py --manifest {manifest_path} --max-windows-per-episode 16 --run-id {run_id}_dataset",

scripts/omni/qwen3_omni_adapter_smoke.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Minimum real-data adapter smoke test for a Ropedia -> Qwen3-Omni path.
+"""Minimum real-data adapter setup check for a Ropedia -> Qwen3-Omni path.
 
 This script does not pretend to fine-tune Qwen3-Omni itself. It validates the
 part that Ropedia-specific sensor modalities need before they can be attached
@@ -38,7 +38,7 @@ ADAPTER_INPUTS = [
 
 def parse_args() -> argparse.Namespace:
     workspace_default = Path(__file__).resolve().parents[2]
-    parser = argparse.ArgumentParser(description="Run a real-data Ropedia sensor-adapter smoke test.")
+    parser = argparse.ArgumentParser(description="Run a real-data Ropedia sensor-adapter setup check.")
     parser.add_argument("--workspace", type=Path, default=workspace_default)
     parser.add_argument("--run-id", default="adapter_only")
     parser.add_argument(
@@ -470,7 +470,7 @@ def main() -> int:
             writer.writerow([name] + [int(x) for x in cm[i]])
 
     report = [
-        "# Qwen3-Omni Adapter Smoke Test",
+        "# Qwen3-Omni Adapter Setup Check",
         "",
         f"- Base model target: `{args.base_model_id}`",
         "- Qwen3-Omni weights loaded: `false`",

scripts/omni/qwen3_omni_inference_smoke.py

@@ -23,7 +23,7 @@ from qwen3_omni_dataset_utils import (
 
 def parse_args() -> argparse.Namespace:
     workspace_default = Path(__file__).resolve().parents[2]
-    parser = argparse.ArgumentParser(description="Run a small Qwen3-Omni inference smoke test.")
+    parser = argparse.ArgumentParser(description="Run a small Qwen3-Omni inference setup check.")
     parser.add_argument("--dataset-jsonl", type=Path, required=True)
     parser.add_argument("--run-id", default="qwen_zero_shot")
     parser.add_argument("--output-dir", type=Path)
@@ -130,7 +130,7 @@ def main() -> int:
     if args.sample_limit > 0:
         samples = samples[: args.sample_limit]
     if not samples:
-        raise ValueError("No samples selected for inference smoke.")
+        raise ValueError("No samples selected for the inference setup check.")
 
     model, processor = load_model_and_processor(args)
     rows = []
@@ -169,7 +169,7 @@ def main() -> int:
     (args.output_dir / "per_class_metrics.json").write_text(json.dumps(per_class, indent=2), encoding="utf-8")
     (args.output_dir / "confusion_matrix.json").write_text(json.dumps(cm, indent=2), encoding="utf-8")
     report = [
-        "# Qwen3-Omni Inference Smoke",
+        "# Qwen3-Omni Inference Setup Check",
         "",
         f"- Model: `{args.model_id}`",
         f"- Dataset: `{args.dataset_jsonl}`",
@@ -177,7 +177,7 @@ def main() -> int:
         f"- Accuracy: `{metrics['accuracy']:.4f}`",
         f"- Macro-F1: `{metrics['macro_f1']:.4f}`",
         "",
-        "This is a pre-training smoke test. It checks that exported Ropedia video/audio/text prompts can pass through Qwen3-Omni on the target runtime.",
+        "This is a pre-training setup check. It verifies that exported Ropedia video/audio/text prompts can pass through Qwen3-Omni on the target runtime.",
     ]
     (args.output_dir / "RUN_REPORT.md").write_text("\n".join(report) + "\n", encoding="utf-8")
     print(json.dumps(metrics, indent=2))

scripts/render_overview_figures.py

@@ -154,7 +154,7 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
     ]
     rows_html = "".join(f'<section class="flow-row">{"".join(row)}</section>' for row in stage_rows)
     checks = [
-        "Reproduction check: rerunning scripts to an ignored scratch workspace reproduced the committed metrics exactly.",
+        "Reproduction check: rerunning scripts in a temporary local workspace reproduced the committed metrics exactly.",
         "Modality check: sample covers video, audio, depth, pose/SLAM, mocap, IMU, and language annotation.",
         "Feature check: current baseline manifest has synchronized video/audio/depth/pose/mocap/IMU/language blocks.",
         "Neural check: lightweight PyTorch MLP heads are reported beside the minimal task heads under neural_mlp/.",

scripts/validate_publication_package.py

@@ -4,7 +4,7 @@
 This check scans the GitHub repo plus the prepared Hugging Face
 Space/artifact/model folders for generated Python caches, raw Xperience-10M
 data, heavyweight checkpoint formats that do not belong in this public package,
-and accidental Hugging Face token strings.
+and accidental credential text.
 """
 
 from __future__ import annotations
@@ -55,7 +55,7 @@ STALE_PRESENTATION_STRINGS = {
 }
 LOCAL_PATH_PATTERNS = {
     "/" + "Users/": "local macOS user path in public text",
-    "/" + "private/": "local scratch path in public text",
+    "/" + "private/": "temporary local path in public text",
 }
 CARD_FRESHNESS_EXPECTATIONS = [
     {