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a49986a b5c6bbb a49986a 7d21adc a49986a 7d21adc a49986a b5c6bbb a49986a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # Public Reader Map
This project is intentionally evidence-heavy: the GitHub repo, website, and
Hugging Face mirrors each expose a different view of the same research package.
Use this map to choose the right entry point without losing the full artifact
trail.
## Fast Paths
| Reader goal | Start here | Then inspect |
| --- | --- | --- |
| Understand the project in one pass | `PROJECT_BRIEF.md` | `PROJECT_STATUS.md`, `RESEARCH_TAKEAWAYS.md` |
| See the visual public dashboard | GitHub Pages or the HF Space | `docs/index.html`, `docs/data/project_packet.json` |
| Understand the data unit | `results/episode_task_suite/windows.csv` | `results/episode_task_suite/feature_manifest.json`, `docs/data/raw_sample_files.json` |
| Trace the 128-episode split | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md` | `docs/data/xperience10m_128_episode_feature_index.json`, `results/omni_finetune/xperience10m_128_episode_selection.csv` |
| Inspect the 20-task benchmark | `TASK_SUITE_20.md` | `docs/data/task_suite_20.json`, `EVALUATION_PROTOCOL.md` |
| Compare current results | `RESEARCH_TAKEAWAYS.md` | `docs/data/task_method_20_result_matrix.json`, `docs/data/unified_task_model_radar.json` |
| Compare 1-episode and 128-episode methods | Homepage radar section | `docs/data/single_episode_task_model_radar.json`, `docs/data/episode128_task_model_radar.json` |
| Find all derived artifacts | `ARTIFACT_GUIDE.md` | HF artifact dataset, `docs/data/artifact_index.json` |
| Download model weights with their matching results | Hugging Face weights/results repo | `manifest.json`, `analysis/docs/data/task_method_20_result_matrix.json`, `results/` |
| Reproduce or extend the work | `REPRODUCIBILITY.md` | `QUALITY_GATES.md`, `scripts/`, `results/` |
| Understand foundation-model directions | `THREE_FOUNDATION_PIPELINES.md` | `FOUNDATION_MODEL_PLAN.md`, `docs/data/three_foundation_pipelines.json` |
| Check public-release health | `PUBLIC_SURFACE_QA.md` | `docs/data/live_publication_status.json`, `docs/data/mirror_parity.json` |
## Public Surfaces
| Surface | Responsibility | Best use |
| --- | --- | --- |
| GitHub repo | Source of truth for docs, scripts, generated data, validators, and commit history | Auditing implementation and citing exact files |
| GitHub Pages dashboard | Reader-facing visual overview of the dataset sample, tasks, methods, results, directions, and resources | Understanding the project quickly |
| Hugging Face Space | Hub-hosted copy of the dashboard and static app assets | Sharing the visual dashboard from HF |
| HF artifact dataset | Public-safe derived artifacts, reports, metrics, website JSON, and sanitized model result packages | Downloading evidence bundles |
| HF baseline model repo | Baseline weights, metrics, figures, and mirrored task artifacts | Reusing compact baseline outputs |
| HF weights/results repo | Consolidated baseline weights, Qwen3/Cosmos adapter weights, verified results, analysis files, and file-level manifest | Auditing all public-safe weight-bearing artifacts from one repo |
| Qwen3/Cosmos model repos | Adapter-specific public weights or package cards when a branch is verified and publishable | Inspecting model-branch artifacts |
## Evidence Layers
1. Dataset/source boundary: upstream Xperience-10M links, public sample scope,
raw-data exclusion, and derived-file policy.
2. Data contract: 20-frame windows, feature blocks, modality availability,
split policy, and leakage controls.
3. Task suite: 20 named tasks with inputs, outputs, metrics, baseline
artifacts, and walkthroughs.
4. Results: minimal heads, neural heads, 128-episode aligned baselines,
Qwen3-Omni diagnostics, Cosmos diagnostics, radar views, and explicit gaps.
5. Foundation directions: spatial intelligence, human-video world modeling, and
vision-language-action training pipelines.
6. Public-release checks: website integrity, source alignment, mirror parity,
publication package scan, and live URL/hash verification.
## Claim Boundaries
| Claim type | Public evidence | Boundary |
| --- | --- | --- |
| Single public-sample task behavior | `results/episode_task_suite/`, `docs/data/task_suite_20.json` | Describes one public sample episode, not the full dataset distribution |
| 128-episode baseline comparison | `XPERIENCE10M_128_EPISODE_FEATURE_INDEX.md`, `docs/data/xperience10m_128_episode_feature_index.json`, `results/omni_finetune/*128*`, `docs/data/omni_model_comparison.json` | Uses selected held-out episodes and derived public-safe summaries; official raw files remain gated upstream |
| Foundation-model branch quality | Verified Qwen3/Cosmos result packages and model cards | Numeric task scores appear only when a task-specific eval/probe exists |
| Reproducibility | `REPRODUCIBILITY.md`, `QUALITY_GATES.md`, release validators | Raw gated Xperience-10M files and full foundation weights are not redistributed |
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