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Publish Ropedia Xperience-10M derived artifacts
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# Evidence Contract
This project is intentionally audit-first. Every visible claim should point to a
local artifact that a reader can inspect before trusting the dashboard.
| Claim | Current evidence | Status | Boundary |
| --- | --- | --- | --- |
| The public Xperience-10M sample has been converted into aligned model windows. | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/shared_windows.npz`, `results/episode_task_suite/summary_report.json` | Verified for 5,821 frames and 1,161 windows | One public sample episode only |
| The current feature contract is explicit and reviewable. | `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` | Verified for an 8,378-d feature vector | Audio is present in MP4 streams but not yet a feature block |
| The 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 technical smoke checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Smoke-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/A100_HF_RELAY_STATUS.md`, `results/omni_finetune/source_discovery.json` | Blocker documented | No 32-episode metric should be claimed until the gate passes |
| 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 and HF bundles, not arbitrary ignored local scratch outputs |
| The core proof artifacts are indexed for fast review. | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | Verified index | Selective source-of-truth catalog, not a complete inventory of every output file |
| The project is externally citable and machine-readable. | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | Verified metadata files | Code license does not override original Xperience-10M dataset terms |
| A first-time reviewer has an explicit audit path. | `docs/data/reviewer_packet.json`, website reviewer section, README reviewer path | Verified reviewer packet | It guides inspection; it does not add new experimental claims |
## Review Order
1. Read `docs/data/reviewer_packet.json` for the shortest audit path and proof
boundary.
2. Read `docs/data/artifact_index.json` to see the indexed proof artifacts,
sizes, and stable-file hashes.
3. Read `docs/assets/task_suite_infographic.png` for the high-level map.
4. Inspect `results/episode_task_suite/summary_report.json` for the task and
metric source of truth.
5. Inspect `results/episode_task_suite/feature_manifest.json` to see which
modalities enter the current feature vector.
6. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
neural heads under the same splits.
7. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
any Qwen3-Omni artifact.
8. Inspect `docs/data/publication_audit.json` before publishing or sharing the
project externally.
9. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
citing the project.