Publish Ropedia Xperience-10M derived artifacts

EVIDENCE_CONTRACT.md

@@ -14,6 +14,7 @@ local artifact that a reader can inspect before trusting the dashboard.
 | 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 |
 
@@ -21,16 +22,18 @@ local artifact that a reader can inspect before trusting the dashboard.
 
 1. Read `docs/data/reviewer_packet.json` for the shortest audit path and proof
    boundary.
-2. Read `docs/assets/task_suite_infographic.png` for the high-level map.
-3. Inspect `results/episode_task_suite/summary_report.json` for the task and
+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.
-4. Inspect `results/episode_task_suite/feature_manifest.json` to see which
+5. Inspect `results/episode_task_suite/feature_manifest.json` to see which
    modalities enter the current feature vector.
-5. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
+6. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
    neural heads under the same splits.
-6. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
+7. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
    any Qwen3-Omni artifact.
-7. Inspect `docs/data/publication_audit.json` before publishing or sharing the
+8. Inspect `docs/data/publication_audit.json` before publishing or sharing the
    project externally.
-8. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
+9. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
    citing the project.

PROJECT_README.md

@@ -43,6 +43,7 @@ This repo is organized around an explicit proof boundary:
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Qwen3-Omni | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded |
+| Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
 | Citation and metadata | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | code is MIT-scoped; raw-data use follows Xperience-10M terms |
 | Reviewer path | `docs/data/reviewer_packet.json`, website reviewer section | audit guide only; no new experimental claim |
 
@@ -51,6 +52,8 @@ consume the machine-readable copy at
 [`docs/data/evidence_contract.json`](docs/data/evidence_contract.json).
 The current publication audit is at
 [`docs/data/publication_audit.json`](docs/data/publication_audit.json).
+The source-of-truth artifact index is at
+[`docs/data/artifact_index.json`](docs/data/artifact_index.json).
 Project citation and machine-readable metadata live in
 [`CITATION.cff`](CITATION.cff), [`codemeta.json`](codemeta.json), and
 [`docs/data/project_manifest.json`](docs/data/project_manifest.json).
@@ -61,7 +64,7 @@ If you are reviewing the project cold, open these in order:
 
 | Step | Question | Primary artifacts | What should be true |
 | --- | --- | --- | --- |
-| 1 | What is actually claimed? | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`docs/data/evidence_contract.json`](docs/data/evidence_contract.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Single-episode task engineering and hygiene are claimed; cross-episode generalization is not. |
+| 1 | What is actually claimed? | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`docs/data/evidence_contract.json`](docs/data/evidence_contract.json), [`docs/data/artifact_index.json`](docs/data/artifact_index.json), [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Single-episode task engineering and hygiene are claimed; cross-episode generalization is not. |
 | 2 | 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. |
 | 3 | 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. |
 | 4 | What is still pending? | [`DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md), [`A100_HF_RELAY_STATUS.md`](results/omni_finetune/A100_HF_RELAY_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. |
@@ -69,6 +72,14 @@ If you are reviewing the project cold, open these in order:
 The machine-readable reviewer packet is
 [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json).
 
+## Artifact Index
+
+[`docs/data/artifact_index.json`](docs/data/artifact_index.json) is the compact
+audit map for the repo. It lists the core proof artifacts, whether each exists,
+its size, and a SHA-256 hash for stable files. Volatile generated files, such as
+the publication audit with a run timestamp, are marked so reviewers know they
+are checked for presence and size rather than treated as fixed hashes.
+
 ## Dataset Modality Coverage
 
 The Xperience-10M sample is a 4D multimodal episode source spanning video,
@@ -100,6 +111,7 @@ Hugging Face Space app:
 | 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 claims reviewable without rerunning first |
 | Publication audit | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, or token strings |
+| Artifact index | `docs/data/artifact_index.json` | Gives reviewers a compact source-of-truth catalog with stable hashes |
 | Citation metadata | `CITATION.cff`, `codemeta.json`, `LICENSE` | Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms |
 
 ## Links
@@ -172,6 +184,7 @@ scripts/
   generate_visualizations.py        # refreshes SVG charts + summary JSON
   render_task_suite_infographic.py  # renders the ChatGPT-image-backed PNG
   render_overview_figures.py        # renders polished pipeline/architecture PNGs
+  build_artifact_index.py           # builds the source-of-truth reviewer index
   validate_publication_package.py   # checks public repo + HF bundle hygiene
   omni/
     download_sample_modelscope.py   # mainland-China friendly sample download
@@ -195,6 +208,7 @@ 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/publication_audit.json       # machine-readable publication hygiene check
   data/project_manifest.json        # machine-readable public-surface metadata
   data/reviewer_packet.json         # machine-readable reviewer path and proof boundary

README.md

@@ -50,12 +50,13 @@ This is the reviewable half of the project. You can inspect the task outputs, co
 
 | Step | Question | Primary artifacts |
 | --- | --- | --- |
-| 1 | What is actually claimed? | `EVIDENCE_CONTRACT.md`, `docs/data/evidence_contract.json`, `docs/data/publication_audit.json` |
+| 1 | What is actually claimed? | `EVIDENCE_CONTRACT.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/publication_audit.json` |
 | 2 | What is one model input? | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` |
 | 3 | Are the task results backed by files? | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/neural_mlp/`, `docs/data/summary_metrics.json` |
 | 4 | What is still pending? | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/A100_HF_RELAY_STATUS.md`, `scripts/omni/discover_xperience10m_sources.py` |
 
 Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
+Source-of-truth artifact index: `docs/data/artifact_index.json`.
 
 ## Evidence Contract
 
@@ -68,6 +69,7 @@ Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Qwen3-Omni | `DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Publication hygiene | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files and HF bundles only |
+| Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-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
@@ -79,6 +81,7 @@ Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
 - `docs/assets/task_suite_infographic.png`: ChatGPT-image-backed infographic with larger public-sample modality atlas thumbnails, including audio waveform context, and verified metric overlays
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable proof boundary
+- `docs/data/artifact_index.json`: source-of-truth proof-artifact catalog with stable-file hashes
 - `docs/data/publication_audit.json`: machine-readable publication hygiene check
 - `docs/data/project_manifest.json`: machine-readable public URL and citation metadata
 - `docs/data/reviewer_packet.json`: machine-readable reviewer path and proof boundary
@@ -89,6 +92,7 @@ Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
 - `results/episode_task_suite/research_direction_extensions/`: metrics, prediction CSVs, rank CSVs, and Markdown summary for the four extension probes
 - `results/episode_task_suite/task_walkthroughs/`: case-study walkthroughs for every task contract
 - `scripts/*.py`: reproduction scripts
+- `scripts/build_artifact_index.py`: source-of-truth artifact-index builder
 - `scripts/validate_publication_package.py`: public bundle validator
 - `notes/*.md`: interpretation and reproducibility notes
 

docs/data/artifact_index.json

@@ -0,0 +1,258 @@
+{
+  "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+  "generated_at_utc": "2026-05-31T23:47:35+00:00",
+  "status": "pass",
+  "artifact_count": 21,
+  "missing": [],
+  "by_kind": {
+    "claim_boundary": 1,
+    "review_path": 2,
+    "hygiene_report": 1,
+    "metadata": 1,
+    "metrics_source": 2,
+    "website_data": 1,
+    "data_contract": 3,
+    "result_directory": 1,
+    "taxonomy": 1,
+    "onboarding_doc": 1,
+    "generated_figure": 3,
+    "blocker_report": 1,
+    "scaleup_status": 1,
+    "citation": 1,
+    "license": 1
+  },
+  "artifacts": [
+    {
+      "id": "evidence_contract",
+      "title": "Evidence contract",
+      "path": "EVIDENCE_CONTRACT.md",
+      "kind": "claim_boundary",
+      "surface": "repo",
+      "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.",
+      "exists": true,
+      "bytes": 4503,
+      "sha256": "387c8c915ee514307fc9862456aea07c3b12c88d05762785ca58cc511f2cffed"
+    },
+    {
+      "id": "reviewer_packet",
+      "title": "Reviewer packet",
+      "path": "docs/data/reviewer_packet.json",
+      "kind": "review_path",
+      "surface": "website_hf",
+      "proves": "Gives a short audit path with scope status and public surfaces.",
+      "exists": true,
+      "bytes": 3548,
+      "sha256": "ea82a381272cd7bf9c7c13edf558e997c3ec645d1937e1354c0428e6cb63d3cb"
+    },
+    {
+      "id": "artifact_index_builder",
+      "title": "Artifact index builder",
+      "path": "scripts/build_artifact_index.py",
+      "kind": "review_path",
+      "surface": "repo_hf",
+      "proves": "Generates the selective proof-artifact catalog from local files.",
+      "exists": true,
+      "bytes": 8908,
+      "sha256": "e166e9142b201b7ceb13024f3201a61b6a1f1896e7ef742c2cfa4f61ef47d020"
+    },
+    {
+      "id": "publication_audit",
+      "title": "Publication audit",
+      "path": "docs/data/publication_audit.json",
+      "kind": "hygiene_report",
+      "surface": "website_hf",
+      "volatile": true,
+      "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
+      "exists": true,
+      "bytes": 3327,
+      "hash_policy": "existence_and_size_only"
+    },
+    {
+      "id": "project_manifest",
+      "title": "Project manifest",
+      "path": "docs/data/project_manifest.json",
+      "kind": "metadata",
+      "surface": "website_hf",
+      "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
+      "exists": true,
+      "bytes": 2389,
+      "sha256": "478530185f347ca3aac40b016149655b397a4bc8367f9df174e39549a080be95"
+    },
+    {
+      "id": "task_summary",
+      "title": "12-task summary report",
+      "path": "results/episode_task_suite/summary_report.json",
+      "kind": "metrics_source",
+      "surface": "repo_hf",
+      "proves": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
+      "exists": true,
+      "bytes": 19629,
+      "sha256": "04d2badfaa149cce10e218ea8e13745e620d062e4ec5fa9f209a3ed9926a2ef4"
+    },
+    {
+      "id": "website_metrics_bundle",
+      "title": "Website metrics bundle",
+      "path": "docs/data/summary_metrics.json",
+      "kind": "website_data",
+      "surface": "website_hf",
+      "proves": "Mirrors task metrics for the static dashboard.",
+      "exists": true,
+      "bytes": 25075,
+      "sha256": "4daac229d7cad0180009041369d5eb8d6ea97b4889a7f8cbad43c2657b131145"
+    },
+    {
+      "id": "feature_manifest",
+      "title": "Feature manifest",
+      "path": "results/episode_task_suite/feature_manifest.json",
+      "kind": "data_contract",
+      "surface": "repo_hf",
+      "proves": "Maps the 8,378-dimensional window vector back to source feature blocks.",
+      "exists": true,
+      "bytes": 1577,
+      "sha256": "a6662295f44c325490d3575edb1a0e88585554c57c3988263b78b59bec3970a0"
+    },
+    {
+      "id": "available_modalities",
+      "title": "Available modalities",
+      "path": "results/episode_task_suite/available_modalities.json",
+      "kind": "data_contract",
+      "surface": "repo_hf",
+      "proves": "Documents which sample modalities entered the current extracted feature contract.",
+      "exists": true,
+      "bytes": 1413,
+      "sha256": "920c3fa448977212212d42dbe673b56d509a7d6a96b14ff716592598686afcf8"
+    },
+    {
+      "id": "windows_table",
+      "title": "Aligned windows table",
+      "path": "results/episode_task_suite/windows.csv",
+      "kind": "data_contract",
+      "surface": "repo_hf",
+      "proves": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
+      "exists": true,
+      "bytes": 85266,
+      "sha256": "c075e43518a96934b68da97dceb45926c5fd71c846c8df5d94cc1a3d9e250739"
+    },
+    {
+      "id": "neural_mlp_directory",
+      "title": "Neural MLP task-head results",
+      "path": "results/episode_task_suite/neural_mlp",
+      "kind": "result_directory",
+      "surface": "repo_hf_model",
+      "proves": "Stores matching PyTorch MLP results for the 12 task contracts.",
+      "exists": true,
+      "file_count": 60,
+      "bytes": 89364909
+    },
+    {
+      "id": "research_direction_taxonomy",
+      "title": "Research direction taxonomy",
+      "path": "results/episode_task_suite/research_directions/research_direction_taxonomy.json",
+      "kind": "taxonomy",
+      "surface": "repo_hf",
+      "proves": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
+      "exists": true,
+      "bytes": 14390,
+      "sha256": "dddac6db489dc0624717522ed30844bf15d65d3033a1404ff5f52c17e9674336"
+    },
+    {
+      "id": "research_direction_extensions",
+      "title": "Research direction extension probes",
+      "path": "results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json",
+      "kind": "metrics_source",
+      "surface": "repo_hf",
+      "proves": "Stores one coded extension probe per research direction with minimal and neural metrics.",
+      "exists": true,
+      "bytes": 11872,
+      "sha256": "d81552093fc94830d5bb96c79e803f0a99c5578ff94e03cae90453074d609b55"
+    },
+    {
+      "id": "task_walkthroughs",
+      "title": "Task walkthroughs",
+      "path": "results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md",
+      "kind": "onboarding_doc",
+      "surface": "repo_hf",
+      "proves": "Explains every task with case study, input, process modules, output, and limitation.",
+      "exists": true,
+      "bytes": 13434,
+      "sha256": "e66aac6d615910111b3a01e960d51fb37d33cadf0cd9de24e105e93781a27f6e"
+    },
+    {
+      "id": "task_suite_infographic",
+      "title": "12-task suite infographic",
+      "path": "docs/assets/task_suite_infographic.png",
+      "kind": "generated_figure",
+      "surface": "website_hf",
+      "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
+      "exists": true,
+      "bytes": 2123267,
+      "sha256": "de11618c558045ae59fdb59d46f42abd1a2292c0778a6e5ef0d0deba87ad2fd2"
+    },
+    {
+      "id": "pipeline_figure",
+      "title": "Pipeline figure",
+      "path": "docs/assets/pipeline_diagram.png",
+      "kind": "generated_figure",
+      "surface": "website_hf",
+      "proves": "Shows the raw-episode to artifact pipeline with verified labels.",
+      "exists": true,
+      "bytes": 702732,
+      "sha256": "09de5f158927c51d474d991ee90f1e2c5d77616e79ff6fb0cca7eacfa78144a8"
+    },
+    {
+      "id": "architecture_figure",
+      "title": "Architecture figure",
+      "path": "docs/assets/task_architectures.png",
+      "kind": "generated_figure",
+      "surface": "website_hf",
+      "proves": "Shows the shared feature pipeline and minimal/neural head families.",
+      "exists": true,
+      "bytes": 762708,
+      "sha256": "e7ddf0723bc73beb6aeeadf36cbfed3d169bd2f890137eed24d0b19e08005db6"
+    },
+    {
+      "id": "qwen_data_blocker",
+      "title": "Qwen3-Omni data blocker report",
+      "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.",
+      "exists": true,
+      "bytes": 803,
+      "sha256": "510d92ba0b1a72bcbe66e6b2e1c1ec325f5e904ed29254a07b1e78a0e5ce3cd3"
+    },
+    {
+      "id": "a100_relay_status",
+      "title": "A100 relay status",
+      "path": "results/omni_finetune/A100_HF_RELAY_STATUS.md",
+      "kind": "scaleup_status",
+      "surface": "repo_hf",
+      "proves": "Documents the pending A100-to-H20 data relay and 32-session pilot selection.",
+      "exists": true,
+      "bytes": 2076,
+      "sha256": "4d82faff5eb050434a917bc36c0325b972f629952b2e01fe0e33f2647ceede53"
+    },
+    {
+      "id": "citation",
+      "title": "Citation metadata",
+      "path": "CITATION.cff",
+      "kind": "citation",
+      "surface": "repo_hf",
+      "proves": "Makes the project externally citable.",
+      "exists": true,
+      "bytes": 1439,
+      "sha256": "5b026f19f0c6a793ec3edbeffa78f125ce91381d6626f6e55c17284fd16f3130"
+    },
+    {
+      "id": "license",
+      "title": "License and data terms",
+      "path": "LICENSE",
+      "kind": "license",
+      "surface": "repo_hf",
+      "proves": "Separates MIT-scoped code from original Xperience-10M data terms.",
+      "exists": true,
+      "bytes": 1745,
+      "sha256": "09cf3f632d1248b6aa4457fdd510f878dcbd1e2e51bafba0ddc7cd4f05e23d07"
+    }
+  ]
+}

docs/data/evidence_contract.json

@@ -86,6 +86,50 @@
         "results/omni_finetune/source_discovery.json"
       ],
       "boundary": "no 32-episode metric should be claimed until the gate passes"
+    },
+    {
+      "id": "publication_hygiene",
+      "claim": "The public GitHub and Hugging Face bundles are publication-clean.",
+      "status": "verified",
+      "evidence": [
+        "scripts/validate_publication_package.py",
+        "docs/data/publication_audit.json"
+      ],
+      "boundary": "checks public files and HF bundles, not arbitrary ignored local scratch outputs"
+    },
+    {
+      "id": "citation_metadata",
+      "claim": "The project is externally citable and machine-readable.",
+      "status": "verified",
+      "evidence": [
+        "CITATION.cff",
+        "codemeta.json",
+        "docs/data/project_manifest.json",
+        "LICENSE"
+      ],
+      "boundary": "code license does not override original Xperience-10M dataset terms"
+    },
+    {
+      "id": "reviewer_path",
+      "claim": "A first-time reviewer has an explicit audit path.",
+      "status": "verified",
+      "evidence": [
+        "docs/data/reviewer_packet.json",
+        "docs/data/artifact_index.json",
+        "README.md",
+        "docs/index.html"
+      ],
+      "boundary": "guides inspection; does not add new experimental claims"
+    },
+    {
+      "id": "artifact_index",
+      "claim": "The core proof artifacts are indexed with existence, size, and hash metadata where stable.",
+      "status": "verified",
+      "evidence": [
+        "scripts/build_artifact_index.py",
+        "docs/data/artifact_index.json"
+      ],
+      "boundary": "selective source-of-truth catalog, not a complete inventory of every output file"
     }
   ]
 }

docs/data/project_manifest.json

@@ -32,6 +32,7 @@
   },
   "evidence_files": {
     "evidence_contract": "docs/data/evidence_contract.json",
+    "artifact_index": "docs/data/artifact_index.json",
     "publication_audit": "docs/data/publication_audit.json",
     "reviewer_packet": "docs/data/reviewer_packet.json",
     "summary_metrics": "docs/data/summary_metrics.json",

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-05-31T23:29:07+00:00",
+  "generated_at_utc": "2026-05-31T23:42:21+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -41,6 +41,7 @@
     "docs/robots.txt": true,
     "docs/sitemap.xml": true,
     "docs/data/evidence_contract.json": true,
+    "docs/data/artifact_index.json": true,
     "docs/data/project_manifest.json": true,
     "docs/data/reviewer_packet.json": true,
     "docs/data/summary_metrics.json": true,
@@ -54,14 +55,15 @@
     "results/omni_finetune/A100_HF_RELAY_STATUS.md": true,
     "scripts/episode_task_suite.py": true,
     "scripts/neural_task_models.py": true,
+    "scripts/build_artifact_index.py": true,
     "scripts/omni/train_qwen3_omni_lora.py": true
   },
   "scans": {
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
       "exists": true,
-      "file_count": 266,
-      "text_file_count": 218,
+      "file_count": 268,
+      "text_file_count": 220,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -71,8 +73,8 @@
     "hf_space_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space",
       "exists": true,
-      "file_count": 35,
-      "text_file_count": 29,
+      "file_count": 36,
+      "text_file_count": 30,
       "largest_file": {
         "path": "assets/pipeline_diagram_base.png",
         "bytes": 2279984
@@ -82,8 +84,8 @@
     "hf_artifact_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts",
       "exists": true,
-      "file_count": 229,
-      "text_file_count": 201,
+      "file_count": 231,
+      "text_file_count": 203,
       "largest_file": {
         "path": "results/episode_task_suite/neural_mlp/temporal_order/model.pt",
         "bytes": 13406129
@@ -93,8 +95,8 @@
     "hf_model_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model",
       "exists": true,
-      "file_count": 168,
-      "text_file_count": 132,
+      "file_count": 170,
+      "text_file_count": 134,
       "largest_file": {
         "path": "artifacts/episode_task_suite/cross_modal_retrieval/model.npz",
         "bytes": 41310574

docs/data/reviewer_packet.json

@@ -21,6 +21,7 @@
       "primary_artifacts": [
         "EVIDENCE_CONTRACT.md",
         "docs/data/evidence_contract.json",
+        "docs/data/artifact_index.json",
         "docs/data/publication_audit.json"
       ],
       "readout": "Single-episode task engineering, metrics, visualizations, and publication hygiene are claimed; cross-episode generalization and 32-episode Qwen3-Omni quality are not claimed."
@@ -56,6 +57,7 @@
       "readout": "The next milestone is a 32-episode held-out-episode Qwen3-Omni LoRA pilot after gated Xperience-10M access is available."
     }
   ],
+  "artifact_index": "docs/data/artifact_index.json",
   "public_surfaces": {
     "github_repo": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",
     "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/",

docs/index.html

@@ -868,6 +868,7 @@
             <p>The validator checks required assets, raw-data exclusion, Python cache exclusion, heavy archive exclusion, and accidental HF token strings across GitHub and the HF bundles.</p>
             <div class="evidence-links">
               <a href="data/publication_audit.json">publication audit</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>
           </article>
@@ -885,10 +886,11 @@
           <article class="review-card">
             <span class="step-index">01</span>
             <h3>Check the claim boundary</h3>
-            <p>Start with the evidence contract and publication audit. They separate verified single-episode artifacts from smoke-only Qwen3-Omni work.</p>
+            <p>Start with the evidence contract, artifact index, and publication audit. They separate verified single-episode artifacts from smoke-only Qwen3-Omni work.</p>
             <div class="review-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>
+              <a href="data/artifact_index.json">index</a>
               <a href="data/publication_audit.json">audit</a>
             </div>
           </article>
@@ -1191,6 +1193,7 @@
           <p>Metrics, predictions, confusion matrices, manifests, lightweight model weights, and derived window artifacts are committed so the repo is reviewable before rerunning anything. Raw Xperience-10M data and Qwen weights are not redistributed.</p>
         </div>
         <div class="artifact-grid">
+          <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes for reviewer-critical artifacts.</p><a href="data/artifact_index.json">artifact_index.json</a></article>
           <article class="artifact"><h3>Task-suite report</h3><p>One JSON file with every task metric and split detail.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/summary_report.json">summary_report.json</a></article>
           <article class="artifact"><h3>Neural MLP task results</h3><p>Per-task PyTorch MLP metrics, predictions, histories, and checkpoints for the same 12 task contracts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural_mlp/</a></article>
           <article class="artifact"><h3>Four-direction taxonomy</h3><p>Generated JSON, CSV, Markdown, and website data mapping all 12 tasks to the four research tracks with two baselines.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research_directions/</a></article>

scripts/build_artifact_index.py

@@ -0,0 +1,254 @@
+#!/usr/bin/env python3
+"""Build a compact source-of-truth artifact index for reviewers.
+
+The index is intentionally selective. It lists the files that prove the public
+claims, not every prediction array or checkpoint in the repository.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+OUTPUT = ROOT / "docs/data/artifact_index.json"
+
+ARTIFACTS = [
+    {
+        "id": "evidence_contract",
+        "title": "Evidence contract",
+        "path": "EVIDENCE_CONTRACT.md",
+        "kind": "claim_boundary",
+        "surface": "repo",
+        "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.",
+    },
+    {
+        "id": "reviewer_packet",
+        "title": "Reviewer packet",
+        "path": "docs/data/reviewer_packet.json",
+        "kind": "review_path",
+        "surface": "website_hf",
+        "proves": "Gives a short audit path with scope status and public surfaces.",
+    },
+    {
+        "id": "artifact_index_builder",
+        "title": "Artifact index builder",
+        "path": "scripts/build_artifact_index.py",
+        "kind": "review_path",
+        "surface": "repo_hf",
+        "proves": "Generates the selective proof-artifact catalog from local files.",
+    },
+    {
+        "id": "publication_audit",
+        "title": "Publication audit",
+        "path": "docs/data/publication_audit.json",
+        "kind": "hygiene_report",
+        "surface": "website_hf",
+        "volatile": True,
+        "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
+    },
+    {
+        "id": "project_manifest",
+        "title": "Project manifest",
+        "path": "docs/data/project_manifest.json",
+        "kind": "metadata",
+        "surface": "website_hf",
+        "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
+    },
+    {
+        "id": "task_summary",
+        "title": "12-task summary report",
+        "path": "results/episode_task_suite/summary_report.json",
+        "kind": "metrics_source",
+        "surface": "repo_hf",
+        "proves": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
+    },
+    {
+        "id": "website_metrics_bundle",
+        "title": "Website metrics bundle",
+        "path": "docs/data/summary_metrics.json",
+        "kind": "website_data",
+        "surface": "website_hf",
+        "proves": "Mirrors task metrics for the static dashboard.",
+    },
+    {
+        "id": "feature_manifest",
+        "title": "Feature manifest",
+        "path": "results/episode_task_suite/feature_manifest.json",
+        "kind": "data_contract",
+        "surface": "repo_hf",
+        "proves": "Maps the 8,378-dimensional window vector back to source feature blocks.",
+    },
+    {
+        "id": "available_modalities",
+        "title": "Available modalities",
+        "path": "results/episode_task_suite/available_modalities.json",
+        "kind": "data_contract",
+        "surface": "repo_hf",
+        "proves": "Documents which sample modalities entered the current extracted feature contract.",
+    },
+    {
+        "id": "windows_table",
+        "title": "Aligned windows table",
+        "path": "results/episode_task_suite/windows.csv",
+        "kind": "data_contract",
+        "surface": "repo_hf",
+        "proves": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
+    },
+    {
+        "id": "neural_mlp_directory",
+        "title": "Neural MLP task-head results",
+        "path": "results/episode_task_suite/neural_mlp",
+        "kind": "result_directory",
+        "surface": "repo_hf_model",
+        "proves": "Stores matching PyTorch MLP results for the 12 task contracts.",
+    },
+    {
+        "id": "research_direction_taxonomy",
+        "title": "Research direction taxonomy",
+        "path": "results/episode_task_suite/research_directions/research_direction_taxonomy.json",
+        "kind": "taxonomy",
+        "surface": "repo_hf",
+        "proves": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
+    },
+    {
+        "id": "research_direction_extensions",
+        "title": "Research direction extension probes",
+        "path": "results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json",
+        "kind": "metrics_source",
+        "surface": "repo_hf",
+        "proves": "Stores one coded extension probe per research direction with minimal and neural metrics.",
+    },
+    {
+        "id": "task_walkthroughs",
+        "title": "Task walkthroughs",
+        "path": "results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md",
+        "kind": "onboarding_doc",
+        "surface": "repo_hf",
+        "proves": "Explains every task with case study, input, process modules, output, and limitation.",
+    },
+    {
+        "id": "task_suite_infographic",
+        "title": "12-task suite infographic",
+        "path": "docs/assets/task_suite_infographic.png",
+        "kind": "generated_figure",
+        "surface": "website_hf",
+        "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
+    },
+    {
+        "id": "pipeline_figure",
+        "title": "Pipeline figure",
+        "path": "docs/assets/pipeline_diagram.png",
+        "kind": "generated_figure",
+        "surface": "website_hf",
+        "proves": "Shows the raw-episode to artifact pipeline with verified labels.",
+    },
+    {
+        "id": "architecture_figure",
+        "title": "Architecture figure",
+        "path": "docs/assets/task_architectures.png",
+        "kind": "generated_figure",
+        "surface": "website_hf",
+        "proves": "Shows the shared feature pipeline and minimal/neural head families.",
+    },
+    {
+        "id": "qwen_data_blocker",
+        "title": "Qwen3-Omni data blocker report",
+        "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.",
+    },
+    {
+        "id": "a100_relay_status",
+        "title": "A100 relay status",
+        "path": "results/omni_finetune/A100_HF_RELAY_STATUS.md",
+        "kind": "scaleup_status",
+        "surface": "repo_hf",
+        "proves": "Documents the pending A100-to-H20 data relay and 32-session pilot selection.",
+    },
+    {
+        "id": "citation",
+        "title": "Citation metadata",
+        "path": "CITATION.cff",
+        "kind": "citation",
+        "surface": "repo_hf",
+        "proves": "Makes the project externally citable.",
+    },
+    {
+        "id": "license",
+        "title": "License and data terms",
+        "path": "LICENSE",
+        "kind": "license",
+        "surface": "repo_hf",
+        "proves": "Separates MIT-scoped code from original Xperience-10M data terms.",
+    },
+]
+
+
+def sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as handle:
+        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def directory_stats(path: Path) -> dict:
+    files = [item for item in path.rglob("*") if item.is_file()]
+    return {
+        "file_count": len(files),
+        "bytes": sum(item.stat().st_size for item in files),
+    }
+
+
+def artifact_entry(item: dict) -> dict:
+    path = ROOT / item["path"]
+    entry = {
+        **item,
+        "exists": path.exists(),
+    }
+    if path.is_file():
+        entry["bytes"] = path.stat().st_size
+        if item.get("volatile"):
+            entry["hash_policy"] = "existence_and_size_only"
+        else:
+            entry["sha256"] = sha256(path)
+    elif path.is_dir():
+        entry.update(directory_stats(path))
+    else:
+        entry.update({"bytes": 0})
+    return entry
+
+
+def main() -> int:
+    entries = [artifact_entry(item) for item in ARTIFACTS]
+    missing = [entry["path"] for entry in entries if not entry["exists"]]
+    by_kind: dict[str, int] = {}
+    for entry in entries:
+        by_kind[entry["kind"]] = by_kind.get(entry["kind"], 0) + 1
+
+    report = {
+        "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+        "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+        "status": "pass" if not missing else "fail",
+        "artifact_count": len(entries),
+        "missing": missing,
+        "by_kind": by_kind,
+        "artifacts": entries,
+    }
+    OUTPUT.parent.mkdir(parents=True, exist_ok=True)
+    OUTPUT.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8")
+    print(f"{report['status'].upper()}: wrote {OUTPUT}")
+    if missing:
+        for path in missing:
+            print(f"- missing: {path}")
+        return 1
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/validate_publication_package.py

@@ -139,6 +139,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "docs/robots.txt",
         "docs/sitemap.xml",
         "docs/data/evidence_contract.json",
+        "docs/data/artifact_index.json",
         "docs/data/project_manifest.json",
         "docs/data/reviewer_packet.json",
         "docs/data/summary_metrics.json",
@@ -152,6 +153,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "results/omni_finetune/A100_HF_RELAY_STATUS.md",
         "scripts/episode_task_suite.py",
         "scripts/neural_task_models.py",
+        "scripts/build_artifact_index.py",
         "scripts/omni/train_qwen3_omni_lora.py",
     ]
     return {item: (root / item).exists() for item in required}