Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -0,0 +1,69 @@
+# Artifact Guide
+
+This guide is the human-readable map for the public Ropedia Xperience-10M task
+suite artifacts. It complements the machine-readable
+[`docs/data/artifact_index.json`](docs/data/artifact_index.json).
+
+The project intentionally separates four layers:
+
+1. **Proof boundary:** what is claimed, what is smoke-only, and what remains
+   gated by data access.
+2. **Data contract:** how one public Xperience-10M sample episode becomes
+   aligned model windows and feature blocks.
+3. **Task evidence:** minimal and neural results for the 12 task contracts plus
+   four research-direction extension probes.
+4. **Scale-up status:** scripts and reports for the planned 32-episode
+   Qwen3-Omni pilot, without claiming those results before data access lands.
+
+## Start Here
+
+| Artifact | Why to open it first |
+| --- | --- |
+| [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines which claims are verified and which are explicitly not claimed. |
+| [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
+| [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Confirms public bundles exclude raw data, Python caches, heavy archives, and token strings. |
+| [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json) | Gives the shortest machine-readable reviewer route. |
+
+## Data Contract
+
+| Artifact | What it proves |
+| --- | --- |
+| [`results/episode_task_suite/windows.csv`](results/episode_task_suite/windows.csv) | The sample episode is converted into 1,161 aligned 20-frame windows. |
+| [`results/episode_task_suite/feature_manifest.json`](results/episode_task_suite/feature_manifest.json) | The current input vector has 8,378 dimensions with explicit feature-block boundaries. |
+| [`results/episode_task_suite/available_modalities.json`](results/episode_task_suite/available_modalities.json) | The sample modality coverage is recorded, including the current audio-featurization boundary. |
+
+## Task Evidence
+
+| Artifact | What it proves |
+| --- | --- |
+| [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json) | The 12 task contracts, chronological split, and minimal/neural metrics. |
+| [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/) | Matching PyTorch MLP heads for the same task contracts and feature windows. |
+| [`results/episode_task_suite/research_directions/`](results/episode_task_suite/research_directions/) | Mapping from the 12 tasks to the four Ropedia research directions. |
+| [`results/episode_task_suite/research_direction_extensions/`](results/episode_task_suite/research_direction_extensions/) | Four additional coded probes, one per research direction. |
+| [`results/episode_task_suite/task_walkthroughs/`](results/episode_task_suite/task_walkthroughs/) | Junior-friendly case studies explaining input, process modules, output, metric, and limitation. |
+
+## Platform Mirrors
+
+| Surface | Purpose |
+| --- | --- |
+| [GitHub Pages dashboard](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/) | Primary public website and visual reviewer flow. |
+| [Hugging Face Space](https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite) | Static app mirror for HF users. |
+| [HF artifact dataset](https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts) | Derived CSV/JSON/Markdown/figure artifacts without raw Xperience-10M data. |
+| [HF baseline model repo](https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines) | Lightweight minimal and neural task-head model files. |
+| [HF collection](https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite) | One grouped landing page for the Space, artifact dataset, and baseline model repo. |
+
+## Scale-Up Boundary
+
+| Artifact | Current status |
+| --- | --- |
+| [`results/omni_finetune/DATA_BLOCKER_REPORT.md`](results/omni_finetune/DATA_BLOCKER_REPORT.md) | Documents why no real 32-episode Qwen3-Omni result is claimed yet. |
+| [`results/omni_finetune/A100_HF_RELAY_STATUS.md`](results/omni_finetune/A100_HF_RELAY_STATUS.md) | Documents the pending A100-to-H20 relay and selected 32-session pilot plan. |
+| [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | Discovery gate for valid multi-episode Xperience-10M sources. |
+| [`scripts/omni/train_qwen3_omni_lora.py`](scripts/omni/train_qwen3_omni_lora.py) | Training entrypoint for the Qwen3-Omni LoRA pilot after the data gate passes. |
+
+## What Is Not Included
+
+The public repo and Hugging Face mirrors do not redistribute raw Xperience-10M
+videos, raw `annotation.hdf5`, gated private dataset files, full Qwen weights,
+or large full checkpoints. Dataset use remains governed by the official
+Ropedia/Xperience-10M terms.

EVIDENCE_CONTRACT.md

@@ -14,7 +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 core proof artifacts are indexed and grouped for fast review. | `ARTIFACT_GUIDE.md`, `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | Verified guide and index | Selective source-of-truth catalog, not a complete inventory of every output file |
 | The 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 |
 
@@ -22,7 +22,8 @@ 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/data/artifact_index.json` to see the indexed proof artifacts,
+2. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
+   reviewer artifacts, 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

PROJECT_README.md

@@ -54,6 +54,8 @@ 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).
+For a human-readable artifact map, use
+[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md).
 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).
@@ -64,7 +66,7 @@ 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/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. |
+| 1 | What is actually claimed? | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md), [`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md), [`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. |
@@ -80,6 +82,10 @@ 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.
 
+[`ARTIFACT_GUIDE.md`](ARTIFACT_GUIDE.md) is the human-readable companion. It
+groups the same proof layer into start-here files, data-contract files,
+task-evidence files, platform mirrors, and scale-up boundary artifacts.
+
 ## Dataset Modality Coverage
 
 The Xperience-10M sample is a 4D multimodal episode source spanning video,
@@ -112,6 +118,7 @@ Hugging Face Space app:
 | 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 |
+| Artifact guide | `ARTIFACT_GUIDE.md` | Groups the public evidence into reviewer-friendly layers |
 | Citation metadata | `CITATION.cff`, `codemeta.json`, `LICENSE` | Makes the repo easier to cite, index, and reuse without confusing code license and dataset terms |
 
 ## Links

README.md

@@ -50,11 +50,12 @@ 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/artifact_index.json`, `docs/data/publication_audit.json` |
+| 1 | What is actually claimed? | `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.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` |
 
+Human-readable artifact guide: `ARTIFACT_GUIDE.md`.
 Machine-readable reviewer packet: `docs/data/reviewer_packet.json`.
 Source-of-truth artifact index: `docs/data/artifact_index.json`.
 
@@ -74,6 +75,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 
 ## What Is Included
 
+- `ARTIFACT_GUIDE.md`: human-readable map of proof boundary, data contract, task evidence, platform mirrors, and scale-up status
 - `results/**/*.json`: verified metrics and metadata for minimal and neural MLP runs
 - `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
 - `results/**/history.json`: neural MLP training traces

docs/data/artifact_index.json

@@ -1,12 +1,12 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-01T00:14:04+00:00",
+  "generated_at_utc": "2026-06-01T00:31:49+00:00",
   "status": "pass",
-  "artifact_count": 21,
+  "artifact_count": 22,
   "missing": [],
   "by_kind": {
     "claim_boundary": 1,
-    "review_path": 2,
+    "review_path": 3,
     "hygiene_report": 1,
     "metadata": 1,
     "metrics_source": 2,
@@ -30,8 +30,8 @@
       "surface": "repo",
       "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.",
       "exists": true,
-      "bytes": 4503,
-      "sha256": "387c8c915ee514307fc9862456aea07c3b12c88d05762785ca58cc511f2cffed"
+      "bytes": 4597,
+      "sha256": "7e142e39670b17c802677e21eb5101fe2ef0095dc2b6d41f08c964422a93951b"
     },
     {
       "id": "reviewer_packet",
@@ -41,8 +41,19 @@
       "surface": "website_hf",
       "proves": "Gives a short audit path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 3548,
-      "sha256": "ea82a381272cd7bf9c7c13edf558e997c3ec645d1937e1354c0428e6cb63d3cb"
+      "bytes": 3618,
+      "sha256": "087195da8c86f6ce25eec473ee559a5e379476421ebf38ae9332b1ed51e9a320"
+    },
+    {
+      "id": "artifact_guide",
+      "title": "Artifact guide",
+      "path": "ARTIFACT_GUIDE.md",
+      "kind": "review_path",
+      "surface": "repo_hf",
+      "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
+      "exists": true,
+      "bytes": 4861,
+      "sha256": "babd9fce6b92d93c6e857ef3cb8d5bd1ea55ff3941a80a653cf52d6dac1dffb7"
     },
     {
       "id": "artifact_index_builder",
@@ -52,8 +63,8 @@
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 8908,
-      "sha256": "e166e9142b201b7ceb13024f3201a61b6a1f1896e7ef742c2cfa4f61ef47d020"
+      "bytes": 9211,
+      "sha256": "ecc89391f90f555db671123ddb8f11ea0a084ff9d624a2da3a9cce67617245d0"
     },
     {
       "id": "publication_audit",
@@ -64,7 +75,7 @@
       "volatile": true,
       "proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
       "exists": true,
-      "bytes": 3327,
+      "bytes": 3328,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -75,8 +86,8 @@
       "surface": "website_hf",
       "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
       "exists": true,
-      "bytes": 2389,
-      "sha256": "478530185f347ca3aac40b016149655b397a4bc8367f9df174e39549a080be95"
+      "bytes": 2432,
+      "sha256": "6e4b9819416c5ff9ab1b5510414df30d068e212d8d9875a06fdf8899a2e87a59"
     },
     {
       "id": "task_summary",

docs/data/evidence_contract.json

@@ -115,6 +115,7 @@
       "status": "verified",
       "evidence": [
         "docs/data/reviewer_packet.json",
+        "ARTIFACT_GUIDE.md",
         "docs/data/artifact_index.json",
         "README.md",
         "docs/index.html"
@@ -123,9 +124,10 @@
     },
     {
       "id": "artifact_index",
-      "claim": "The core proof artifacts are indexed with existence, size, and hash metadata where stable.",
+      "claim": "The core proof artifacts are grouped for human review and indexed with existence, size, and hash metadata where stable.",
       "status": "verified",
       "evidence": [
+        "ARTIFACT_GUIDE.md",
         "scripts/build_artifact_index.py",
         "docs/data/artifact_index.json"
       ],

docs/data/project_manifest.json

@@ -31,6 +31,7 @@
     "xperience10m_sample_hf": "https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample"
   },
   "evidence_files": {
+    "artifact_guide": "ARTIFACT_GUIDE.md",
     "evidence_contract": "docs/data/evidence_contract.json",
     "artifact_index": "docs/data/artifact_index.json",
     "publication_audit": "docs/data/publication_audit.json",

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T00:14:15+00:00",
+  "generated_at_utc": "2026-06-01T00:41:39+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -33,6 +33,7 @@
     "CITATION.cff": true,
     "LICENSE": true,
     "codemeta.json": true,
+    "ARTIFACT_GUIDE.md": true,
     "EVIDENCE_CONTRACT.md": true,
     "DATA_NOTICE.md": true,
     "docs/404.html": true,
@@ -62,8 +63,8 @@
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
       "exists": true,
-      "file_count": 268,
-      "text_file_count": 220,
+      "file_count": 269,
+      "text_file_count": 221,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -73,8 +74,8 @@
     "hf_space_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space",
       "exists": true,
-      "file_count": 36,
-      "text_file_count": 30,
+      "file_count": 37,
+      "text_file_count": 31,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2290819
@@ -84,8 +85,8 @@
     "hf_artifact_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts",
       "exists": true,
-      "file_count": 231,
-      "text_file_count": 203,
+      "file_count": 232,
+      "text_file_count": 204,
       "largest_file": {
         "path": "results/episode_task_suite/neural_mlp/temporal_order/model.pt",
         "bytes": 13406129
@@ -95,8 +96,8 @@
     "hf_model_bundle": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model",
       "exists": true,
-      "file_count": 170,
-      "text_file_count": 134,
+      "file_count": 171,
+      "text_file_count": 135,
       "largest_file": {
         "path": "artifacts/episode_task_suite/cross_modal_retrieval/model.npz",
         "bytes": 41310574

docs/data/reviewer_packet.json

@@ -20,6 +20,7 @@
       "question": "What exactly is being claimed?",
       "primary_artifacts": [
         "EVIDENCE_CONTRACT.md",
+        "ARTIFACT_GUIDE.md",
         "docs/data/evidence_contract.json",
         "docs/data/artifact_index.json",
         "docs/data/publication_audit.json"
@@ -57,6 +58,7 @@
       "readout": "The next milestone is a 32-episode held-out-episode Qwen3-Omni LoRA pilot after gated Xperience-10M access is available."
     }
   ],
+  "artifact_guide": "ARTIFACT_GUIDE.md",
   "artifact_index": "docs/data/artifact_index.json",
   "public_surfaces": {
     "github_repo": "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite",

docs/index.html

@@ -569,6 +569,48 @@
       grid-template-columns: repeat(2, minmax(0, 1fr));
       gap: 18px;
     }
+    .artifact-library {
+      display: grid;
+      gap: 24px;
+    }
+    .artifact-group {
+      border: 1px solid var(--soft-line);
+      border-radius: var(--radius);
+      background:
+        linear-gradient(180deg, rgba(164, 242, 127, 0.045), rgba(7, 18, 7, 0.62)),
+        var(--panel);
+      padding: 20px;
+    }
+    .artifact-group-head {
+      display: grid;
+      grid-template-columns: minmax(0, 0.75fr) minmax(280px, 0.95fr);
+      gap: 24px;
+      align-items: end;
+      padding-bottom: 18px;
+      margin-bottom: 18px;
+      border-bottom: 1px solid var(--soft-line);
+    }
+    .artifact-group-head span {
+      display: block;
+      margin-bottom: 8px;
+      color: var(--green);
+      font-family: var(--font-mono);
+      font-size: 12px;
+      font-weight: 740;
+      text-transform: uppercase;
+      letter-spacing: 0.08em;
+    }
+    .artifact-group-head h3 {
+      margin: 0;
+      font-size: 24px;
+      line-height: 1.06;
+    }
+    .artifact-group-head p {
+      margin: 0;
+      color: var(--muted);
+      line-height: 1.6;
+      font-size: 14px;
+    }
     .chart-grid {
       display: grid;
       grid-template-columns: minmax(0, 1fr);
@@ -689,9 +731,23 @@
       border-radius: var(--radius);
       background: var(--surface);
       padding: 18px;
+      min-height: 164px;
+      display: grid;
+      align-content: start;
       transition: transform 240ms cubic-bezier(0.16, 1, 0.3, 1), border-color 240ms cubic-bezier(0.16, 1, 0.3, 1);
     }
+    .artifact.primary-artifact {
+      grid-column: 1 / -1;
+      grid-template-columns: minmax(0, 1fr) auto;
+      gap: 18px;
+      align-items: end;
+      min-height: 0;
+      background:
+        linear-gradient(120deg, rgba(164, 242, 127, 0.13), rgba(122, 229, 195, 0.05)),
+        var(--surface);
+    }
     .artifact:hover { transform: translateY(-3px); border-color: var(--green); }
+    .artifact h3 { line-height: 1.18; }
     .artifact a { display: inline-block; margin-top: 14px; font-weight: 740; text-decoration: none; color: var(--blue); }
     .artifact a:hover { text-decoration: underline; text-underline-offset: 4px; }
 
@@ -726,6 +782,7 @@
       .hero-inner, .two-col { grid-template-columns: 1fr; }
       .hero-inner { min-height: 0; }
       .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .review-grid, .boundary-strip, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walkthrough-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
+      .artifact-group-head { grid-template-columns: 1fr; align-items: start; }
       .chart-grid { grid-template-columns: 1fr; }
       .section-head { display: block; }
       .section-head p { margin-top: 14px; }
@@ -734,6 +791,8 @@
     @media (max-width: 640px) {
       .wrap { width: min(100% - 28px, var(--max)); }
       .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .review-grid, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walkthrough-grid, .walk-flow { grid-template-columns: 1fr; }
+      .artifact-group { padding: 16px; }
+      .artifact.primary-artifact { grid-template-columns: 1fr; }
       .evidence-card:last-child { grid-column: auto; }
       .hero-inner, section { padding: 46px 0; }
       .signal { grid-template-columns: 1fr; }
@@ -1193,25 +1252,64 @@
           <h2>Where the evidence lives.</h2>
           <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>
-          <article class="artifact"><h3>Direction extension probes</h3><p>Four additional coded probes, one per research direction, each with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">research_direction_extensions/</a></article>
-          <article class="artifact"><h3>Task walkthroughs</h3><p>Beginner-oriented case studies for all 12 tasks, including input, middle process modules, output, metric, and limitation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">task_walkthroughs/</a></article>
-          <article class="artifact"><h3>Feature manifest</h3><p>Start/end index and dimension for every current feature block.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature_manifest.json</a></article>
-          <article class="artifact"><h3>Cross-modal retrieval</h3><p>The strongest self-supervised signal from the single episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/cross_modal_retrieval/metrics.json">metrics.json</a></article>
-          <article class="artifact"><h3>Current all-feature action model</h3><p>Classifier metrics, predictions, confusion matrix, and model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/min_all_modalities_action_model/metrics.json">metrics.json</a></article>
-          <article class="artifact"><h3>Windows table</h3><p>Window start/end frames and aligned action/subtask labels.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">windows.csv</a></article>
-          <article class="artifact"><h3>Reproduction scripts</h3><p>Three training scripts plus the dashboard generator.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/scripts">scripts/</a></article>
-          <article class="artifact"><h3>Hugging Face Space</h3><p>The same dashboard packaged as a public static Space.</p><a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">cy0307/ropedia-xperience-10m-task-suite</a></article>
-          <article class="artifact"><h3>Derived HF artifacts</h3><p>Metrics, predictions, docs, and lightweight derived files without raw Xperience-10M video/data redistribution.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">dataset repo</a></article>
-          <article class="artifact"><h3>HF baseline models</h3><p>Minimal NumPy softmax and ridge baseline weights with model card and architecture diagrams.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
-          <article class="artifact"><h3>A100 HF relay status</h3><p>HF full-dataset access is pending; an A100 watcher is ready to download a 32-session stratified pilot and transfer it to H20 once approved.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/A100_HF_RELAY_STATUS.md">A100_HF_RELAY_STATUS.md</a></article>
-          <article class="artifact"><h3>Qwen3-Omni readiness artifacts</h3><p>Manifests, metadata, metrics, and progress logs from the current smoke/evidence run. No real 32-episode metric is claimed yet.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/episode_manifest.json">episode_manifest.json</a></article>
-          <article class="artifact"><h3>32-episode data gate</h3><p>The readiness gate remains the source of truth before any full pilot training claim.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">DATA_BLOCKER_REPORT.md</a></article>
-          <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, and model baselines grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
+        <div class="artifact-library">
+          <section class="artifact-group">
+            <div class="artifact-group-head">
+              <div><span>Start here</span><h3>Proof boundary and reviewer route</h3></div>
+              <p>These files tell a reviewer what is actually claimed, which artifacts prove it, and where the current scale-up boundary stops.</p>
+            </div>
+            <div class="artifact-grid">
+              <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from proof boundary to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></article>
+              <article class="artifact"><h3>Evidence contract</h3><p>Defines verified, smoke-only, blocked, and out-of-scope claims.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
+              <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes.</p><a href="data/artifact_index.json">artifact_index.json</a></article>
+              <article class="artifact"><h3>Publication audit</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, and token-string hygiene.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
+              <article class="artifact"><h3>Reviewer packet</h3><p>Machine-readable 90-second reviewer path and proof boundary summary.</p><a href="data/reviewer_packet.json">reviewer_packet.json</a></article>
+            </div>
+          </section>
+
+          <section class="artifact-group">
+            <div class="artifact-group-head">
+              <div><span>Data and task evidence</span><h3>From one episode to checked task heads</h3></div>
+              <p>These artifacts show the exact sample windows, feature blocks, task contracts, metrics, walkthroughs, and research-direction mapping.</p>
+            </div>
+            <div class="artifact-grid">
+              <article class="artifact"><h3>Task-suite report</h3><p>One JSON file with every task definition, split detail, and metric.</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>Windows table</h3><p>Window start/end frames and aligned action/subtask labels.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">windows.csv</a></article>
+              <article class="artifact"><h3>Feature manifest</h3><p>Start/end index and dimension for every current feature block.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature_manifest.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.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research_directions/</a></article>
+              <article class="artifact"><h3>Direction extension probes</h3><p>Four coded probes, one per research direction, with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">research_direction_extensions/</a></article>
+              <article class="artifact"><h3>Task walkthroughs</h3><p>Case studies for all 12 tasks, including input, middle process modules, output, metric, and limitation.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">task_walkthroughs/</a></article>
+              <article class="artifact"><h3>Cross-modal retrieval</h3><p>The strongest self-supervised signal from the single episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/cross_modal_retrieval/metrics.json">metrics.json</a></article>
+            </div>
+          </section>
+
+          <section class="artifact-group">
+            <div class="artifact-group-head">
+              <div><span>Mirrors and reproducibility</span><h3>Public surfaces and runnable code</h3></div>
+              <p>The same evidence is mirrored across GitHub Pages, Hugging Face, scripts, and lightweight baseline model repositories.</p>
+            </div>
+            <div class="artifact-grid">
+              <article class="artifact"><h3>Reproduction scripts</h3><p>Training, visualization, taxonomy, walkthrough, validator, and omni-readiness scripts.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/scripts">scripts/</a></article>
+              <article class="artifact"><h3>Current all-feature action model</h3><p>Classifier metrics, predictions, confusion matrix, and model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/min_all_modalities_action_model/metrics.json">metrics.json</a></article>
+              <article class="artifact"><h3>Hugging Face Space</h3><p>The dashboard packaged as a public static Space.</p><a href="https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite">HF Space</a></article>
+              <article class="artifact"><h3>Derived HF artifacts</h3><p>Metrics, predictions, docs, and lightweight derived files without raw data redistribution.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">dataset repo</a></article>
+              <article class="artifact"><h3>HF baseline models</h3><p>Minimal NumPy softmax, ridge baselines, and neural task-head model files.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
+              <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, and model baselines grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
+            </div>
+          </section>
+
+          <section class="artifact-group">
+            <div class="artifact-group-head">
+              <div><span>Scale-up boundary</span><h3>Prepared, but not overclaimed</h3></div>
+              <p>The multi-episode Qwen3-Omni path is documented and scripted, but no full-pilot metric is claimed until the data gate and held-out evaluation pass.</p>
+            </div>
+            <div class="artifact-grid">
+              <article class="artifact"><h3>A100 HF relay status</h3><p>HF full-dataset access is pending; an A100 watcher is ready to download and transfer a 32-session pilot.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/A100_HF_RELAY_STATUS.md">A100_HF_RELAY_STATUS.md</a></article>
+              <article class="artifact"><h3>Qwen3-Omni readiness artifacts</h3><p>Manifests, metadata, metrics, and progress logs from the current smoke/evidence run.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/episode_manifest.json">episode_manifest.json</a></article>
+              <article class="artifact"><h3>32-episode data gate</h3><p>The readiness gate remains the source of truth before any full pilot training claim.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_BLOCKER_REPORT.md">DATA_BLOCKER_REPORT.md</a></article>
+            </div>
+          </section>
         </div>
       </div>
     </section>

scripts/build_artifact_index.py

@@ -33,6 +33,14 @@ ARTIFACTS = [
         "surface": "website_hf",
         "proves": "Gives a short audit path with scope status and public surfaces.",
     },
+    {
+        "id": "artifact_guide",
+        "title": "Artifact guide",
+        "path": "ARTIFACT_GUIDE.md",
+        "kind": "review_path",
+        "surface": "repo_hf",
+        "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
+    },
     {
         "id": "artifact_index_builder",
         "title": "Artifact index builder",

scripts/validate_publication_package.py

@@ -131,6 +131,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "CITATION.cff",
         "LICENSE",
         "codemeta.json",
+        "ARTIFACT_GUIDE.md",
         "EVIDENCE_CONTRACT.md",
         "DATA_NOTICE.md",
         "docs/404.html",