Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -25,7 +25,7 @@ The project intentionally separates four layers:
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
 | [`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) | Confirms public bundles exclude raw data, Python caches, heavy archives, and token strings. |
+| [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Confirms public bundles exclude raw data, Python caches, heavy archives, token strings, and stale public-card figure references. |
 | [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Confirms historical `32ep` smoke-run identifiers are not presented as real 32-episode results. |
 | [`docs/data/website_integrity.json`](docs/data/website_integrity.json) | Confirms local site links, anchors, JSON bundles, and referenced images resolve. |
 | [`docs/data/reviewer_packet.json`](docs/data/reviewer_packet.json) | Gives the shortest machine-readable reviewer route. |

EVIDENCE_CONTRACT.md

@@ -16,7 +16,7 @@ local artifact that a reader can inspect before trusting the dashboard.
 | 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 |
 | Historical `32ep` path strings are not treated as 32-episode results. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Verified pass | Classifies old run/path identifiers and fails if public presentation claims real 32-episode metrics |
 | Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Verified pass | 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 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 public GitHub and Hugging Face bundles are publication-clean. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Verified pass | Checks public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded |
 | The public website has checked local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Verified pass | Checks local links, anchors, JSON data, and referenced images; external URLs are not fetched |
 | 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 public reproduction path is documented. | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | Verified documentation and prior exact-match audit | Publicly reproduces the single-episode pipeline, not the gated 32-episode Qwen3-Omni pilot |

PROJECT_README.md

@@ -44,7 +44,7 @@ This repo is organized around an explicit proof boundary:
 | Qwen3-Omni | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Scope claims guard | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | historical `32ep` path strings are provenance, not 32-episode results |
 | 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 |
-| Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded |
+| Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded, and public cards must reference the current task-first figure |
 | 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 |
@@ -127,7 +127,7 @@ Hugging Face Space app:
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
 | 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 |
+| Publication audit | `docs/data/publication_audit.json` | Confirms public bundles contain no raw Xperience-10M data, Python caches, heavy archives, token strings, or stale public-card figure references |
 | 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 |
 | Reproducibility contract | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json` | States public commands, expected outputs, exact-match audit evidence, and non-reproducible boundaries |
@@ -163,7 +163,7 @@ The code files are MIT-licensed. Raw Xperience-10M data is not redistributed
 here, and dataset use remains governed by the official Ropedia/Xperience-10M
 terms. See [`LICENSE`](LICENSE) and [`DATA_NOTICE.md`](DATA_NOTICE.md).
 
-![ChatGPT-image-backed Ropedia Xperience-10M 12-task infographic](docs/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10)
+![ChatGPT-image-backed Ropedia Xperience-10M 12-task infographic](docs/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v11-modality-spread)
 
 The infographic uses a ChatGPT-image-generated text-free research background,
 but now puts the shared processing contract and all 12 task families before the

README.md

@@ -26,7 +26,7 @@ size_categories:
 
 This dataset repo contains the derived evidence layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and the small neural MLP task-head artifacts.
 
-![12-task infographic](assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10)
+![12-task infographic](assets/task_suite_infographic.png?v=xperience10m-taskfirst-v11-modality-spread)
 
 The dashboard assets follow a Ropedia-inspired visual system: dark 4D-world
 canvas, lime-green accents, point-cloud texture, thin green cards, and
@@ -78,7 +78,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 | Qwen3-Omni | `DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Scope claims guard | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | historical `32ep` path strings are provenance, not 32-episode results |
 | Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files |
-| Publication hygiene | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files and HF bundles only |
+| Publication hygiene | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files/HF bundles only, with public-card freshness checks |
 | Website integrity | `docs/data/website_integrity.json`, `scripts/validate_website_integrity.py` | local links, anchors, JSON bundles, and referenced images 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 |
@@ -98,7 +98,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 - `docs/data/artifact_index.json`: source-of-truth proof-artifact catalog with stable-file hashes
 - `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
 - `docs/data/scope_claims_audit.json`: machine-readable guard against overclaiming historical `32ep` smoke-run identifiers
-- `docs/data/publication_audit.json`: machine-readable publication hygiene check
+- `docs/data/publication_audit.json`: machine-readable publication hygiene and public-card freshness check
 - `docs/data/website_integrity.json`: machine-readable website local-reference integrity 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

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-01T05:07:04+00:00",
+  "generated_at_utc": "2026-06-01T05:58:15+00:00",
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   "artifact_count": 29,
   "missing": [],
@@ -35,8 +35,8 @@
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@@ -57,8 +57,8 @@
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@@ -102,7 +102,7 @@
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@@ -126,7 +126,7 @@
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       "exists": true,
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@@ -259,8 +259,8 @@
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docs/data/evidence_contract.json

@@ -126,7 +126,7 @@
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         "docs/data/publication_audit.json"
       ],
-      "boundary": "checks public files and HF bundles, not arbitrary ignored local scratch outputs"
+      "boundary": "checks public files, HF bundles, and public-card freshness; ignored local scratch outputs are excluded"
     },
     {
       "id": "website_integrity",

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-01T05:08:43+00:00",
+  "generated_at_utc": "2026-06-01T05:59:09+00:00",
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@@ -33,26 +33,26 @@
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@@ -63,27 +63,27 @@
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@@ -156,27 +156,27 @@
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       "mirrors": {
         "hf_space": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space/assets/task_suite_infographic.png",
           "exists": true,
-          "bytes": 2331622,
-          "sha256": "7ffca73ef3cb775dfd8b0563e943502421eac55989b3c6dd05101e7f070a3bdf"
+          "bytes": 2322389,
+          "sha256": "0e1d1b1eb165f6c52a49f94e4e93b7b4e9421d9efa015d7a094d70c48800e9b5"
         },
         "hf_artifacts_docs": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/assets/task_suite_infographic.png",
           "exists": true,
-          "bytes": 2331622,
-          "sha256": "7ffca73ef3cb775dfd8b0563e943502421eac55989b3c6dd05101e7f070a3bdf"
+          "bytes": 2322389,
+          "sha256": "0e1d1b1eb165f6c52a49f94e4e93b7b4e9421d9efa015d7a094d70c48800e9b5"
         },
         "hf_artifacts_card": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/assets/task_suite_infographic.png",
           "exists": true,
-          "bytes": 2331622,
-          "sha256": "7ffca73ef3cb775dfd8b0563e943502421eac55989b3c6dd05101e7f070a3bdf"
+          "bytes": 2322389,
+          "sha256": "0e1d1b1eb165f6c52a49f94e4e93b7b4e9421d9efa015d7a094d70c48800e9b5"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/assets/task_suite_infographic.png",
           "exists": true,
-          "bytes": 2331622,
-          "sha256": "7ffca73ef3cb775dfd8b0563e943502421eac55989b3c6dd05101e7f070a3bdf"
+          "bytes": 2322389,
+          "sha256": "0e1d1b1eb165f6c52a49f94e4e93b7b4e9421d9efa015d7a094d70c48800e9b5"
         }
       },
       "failures": []
@@ -855,21 +855,21 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/scripts/validate_publication_package.py",
         "exists": true,
-        "bytes": 9772,
-        "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
+        "bytes": 12444,
+        "sha256": "f8fc86b66a1fde0755004897dd307eb5c80f84bdaf917158b43c423ff6e7e9e7"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 9772,
-          "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
+          "bytes": 12444,
+          "sha256": "f8fc86b66a1fde0755004897dd307eb5c80f84bdaf917158b43c423ff6e7e9e7"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 9772,
-          "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
+          "bytes": 12444,
+          "sha256": "f8fc86b66a1fde0755004897dd307eb5c80f84bdaf917158b43c423ff6e7e9e7"
         }
       },
       "failures": []
@@ -930,21 +930,21 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs/index.html",
         "exists": true,
-        "bytes": 89653,
-        "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+        "bytes": 89772,
+        "sha256": "3544638ab8dc809e126f347d942b4f7303674edd79858cd039a5b18b95500fcb"
       },
       "mirrors": {
         "hf_space": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space/index.html",
           "exists": true,
-          "bytes": 89653,
-          "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+          "bytes": 89772,
+          "sha256": "3544638ab8dc809e126f347d942b4f7303674edd79858cd039a5b18b95500fcb"
         },
         "hf_artifacts_docs": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/index.html",
           "exists": true,
-          "bytes": 89653,
-          "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+          "bytes": 89772,
+          "sha256": "3544638ab8dc809e126f347d942b4f7303674edd79858cd039a5b18b95500fcb"
         }
       },
       "failures": []

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T05:07:53+00:00",
+  "generated_at_utc": "2026-06-01T05:58:39+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -31,6 +31,11 @@
       "name": "no_stale_task_suite_presentation_copy",
       "status": "pass",
       "count": 0
+    },
+    {
+      "name": "public_cards_reference_taskfirst_figure",
+      "status": "pass",
+      "failures": []
     }
   ],
   "required_assets": {
@@ -80,6 +85,48 @@
     "scripts/validate_website_integrity.py": true,
     "scripts/omni/train_qwen3_omni_lora.py": true
   },
+  "public_card_freshness": [
+    {
+      "surface": "github_repo",
+      "path": "README.md",
+      "exists": true,
+      "required_marker_count": 3,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "surface": "hf_space_bundle",
+      "path": "README.md",
+      "exists": true,
+      "required_marker_count": 4,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "surface": "hf_artifact_bundle",
+      "path": "README.md",
+      "exists": true,
+      "required_marker_count": 3,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "surface": "hf_artifact_bundle",
+      "path": "PROJECT_README.md",
+      "exists": true,
+      "required_marker_count": 3,
+      "missing_markers": [],
+      "status": "pass"
+    },
+    {
+      "surface": "hf_model_bundle",
+      "path": "README.md",
+      "exists": true,
+      "required_marker_count": 4,
+      "missing_markers": [],
+      "status": "pass"
+    }
+  ],
   "scans": {
     "github_repo": {
       "root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy",
@@ -99,7 +146,7 @@
       "text_file_count": 38,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
-        "bytes": 2331622
+        "bytes": 2322389
       },
       "violations": []
     },

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T05:06:13+00:00",
+  "generated_at_utc": "2026-06-01T05:46:47+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": "2026-06-01T05:06:42+00:00",
+  "generated_at_utc": "2026-06-01T05:57:48+00:00",
   "docs_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -25,7 +25,7 @@
       "status": "pass",
       "reason": "The Suite anchor should show the full 12-task map before the modality atlas.",
       "first_marker_index": 380,
-      "second_marker_index": 669
+      "second_marker_index": 696
     },
     {
       "name": "suite_modality_atlas_contains_seven_cards",
@@ -51,17 +51,17 @@
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 12902,
+      "bytes": 12916,
       "top_level_type": "dict"
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 7182,
+      "bytes": 7205,
       "top_level_type": "dict"
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 41465,
+      "bytes": 42567,
       "top_level_type": "dict"
     },
     {
@@ -76,7 +76,7 @@
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 4105,
+      "bytes": 5292,
       "top_level_type": "dict"
     },
     {
@@ -252,9 +252,9 @@
     {
       "path": "assets/task_suite_infographic.png",
       "exists": true,
-      "bytes": 2331622,
+      "bytes": 2322389,
       "width": 1800,
-      "height": 5700,
+      "height": 5850,
       "format": "PNG"
     }
   ]

docs/index.html

@@ -13,11 +13,11 @@
   <meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
   <meta property="og:type" content="website">
   <meta property="og:url" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/">
-  <meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10">
+  <meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v11-modality-spread">
   <meta name="twitter:card" content="summary_large_image">
   <meta name="twitter:title" content="Ropedia Xperience-10M Task Suite">
   <meta name="twitter:description" content="Audit-first Xperience-10M multimodal task suite with minimal and neural baselines.">
-  <meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10">
+  <meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v11-modality-spread">
   <script type="application/ld+json">
     {
       "@context": "https://schema.org",
@@ -1106,7 +1106,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Publication bundles pass hygiene checks</h3>
-            <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>
+            <p>The validator checks 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>
             <div class="evidence-links">
               <a href="data/publication_audit.json">publication audit</a>
               <a href="data/artifact_index.json">artifact index</a>
@@ -1191,7 +1191,7 @@
           <p>Start with the full 12-task map, then inspect the large native modality atlas below it. Audio is present in the sample MP4 stream, but the current 8,378-d baseline manifest does not featurize it.</p>
         </div>
         <div class="figure-pan" id="task-suite-map">
-          <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10" alt="ChatGPT-image-backed infographic showing all 12 Ropedia Xperience-10M tasks with enlarged modality cards">
+          <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v11-modality-spread" alt="ChatGPT-image-backed infographic showing all 12 Ropedia Xperience-10M tasks with enlarged full-width modality cards">
         </div>
         <div class="modality-atlas-panel" id="modality-atlas" aria-labelledby="modality-atlas-title">
           <div class="atlas-head">
@@ -1504,7 +1504,7 @@
               <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>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.json</a></article>
               <article class="artifact"><h3>Scope claims audit</h3><p>Machine check that historical <code>32ep</code> identifiers are provenance, not real 32-episode result claims.</p><a href="data/scope_claims_audit.json">scope_claims_audit.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>Publication audit</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, token-string hygiene, and public-card figure freshness.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
               <article class="artifact"><h3>Website integrity</h3><p>Checks local links, anchors, JSON files, and referenced website image dimensions.</p><a href="data/website_integrity.json">website_integrity.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>

scripts/validate_publication_package.py

@@ -44,8 +44,58 @@ TEXT_SUFFIXES = {
 TOKEN_PATTERN = re.compile(r"hf_[A-Za-z0-9]{20,}")
 STALE_PRESENTATION_STRINGS = {
     "xperience10m-" + "modalities-v9-large-atlas": "old task-suite infographic cache key",
+    "xperience10m-" + "taskfirst-v10": "older task-suite infographic cache key",
     "Start with the large native " + "modality atlas": "old suite-section hierarchy copy",
 }
+CARD_FRESHNESS_EXPECTATIONS = [
+    {
+        "surface": "github_repo",
+        "relative_path": "README.md",
+        "required": [
+            "xperience10m-taskfirst-v11-modality-spread",
+            "all 12 task families before the",
+            "Public-sample modality thumbnails remain enlarged below",
+        ],
+    },
+    {
+        "surface": "hf_space_bundle",
+        "relative_path": "README.md",
+        "required": [
+            "xperience10m-taskfirst-v11-modality-spread",
+            "task-first 12-task infographic",
+            "native responsive modality atlas",
+            "website HTML",
+        ],
+    },
+    {
+        "surface": "hf_artifact_bundle",
+        "relative_path": "README.md",
+        "required": [
+            "xperience10m-taskfirst-v11-modality-spread",
+            "task-first 12-task map",
+            "including critical website HTML",
+        ],
+    },
+    {
+        "surface": "hf_artifact_bundle",
+        "relative_path": "PROJECT_README.md",
+        "required": [
+            "xperience10m-taskfirst-v11-modality-spread",
+            "all 12 task families before the",
+            "Public-sample modality thumbnails remain enlarged below",
+        ],
+    },
+    {
+        "surface": "hf_model_bundle",
+        "relative_path": "README.md",
+        "required": [
+            "xperience10m-taskfirst-v11-modality-spread",
+            "task-first 12-head",
+            "responsive modality atlas",
+            "website HTML",
+        ],
+    },
+]
 
 
 def rel(path: Path, base: Path) -> str:
@@ -187,6 +237,24 @@ def required_assets(root: Path) -> dict[str, bool]:
     return {item: (root / item).exists() for item in required}
 
 
+def public_card_freshness(roots: dict[str, Path]) -> list[dict]:
+    records = []
+    for item in CARD_FRESHNESS_EXPECTATIONS:
+        surface = item["surface"]
+        path = roots[surface] / item["relative_path"]
+        text = path.read_text(encoding="utf-8", errors="ignore") if path.exists() else ""
+        missing = [marker for marker in item["required"] if marker not in text]
+        records.append({
+            "surface": surface,
+            "path": item["relative_path"],
+            "exists": path.exists(),
+            "required_marker_count": len(item["required"]),
+            "missing_markers": missing,
+            "status": "pass" if path.exists() and not missing else "fail",
+        })
+    return records
+
+
 def build_report(hf_root: Path) -> dict:
     roots = {
         "github_repo": ROOT,
@@ -199,6 +267,7 @@ def build_report(hf_root: Path) -> dict:
         public_paths = git_public_paths(path) if name == "github_repo" else None
         scans[name] = scan(path, paths=public_paths)
     assets = required_assets(ROOT)
+    card_freshness = public_card_freshness(roots)
     missing_assets = [path for path, present in assets.items() if not present]
     violations = [
         {"root": name, **violation}
@@ -238,6 +307,11 @@ def build_report(hf_root: Path) -> dict:
             "status": "pass" if not any(v["kind"] == "stale_presentation_copy" for v in violations) else "fail",
             "count": sum(1 for v in violations if v["kind"] == "stale_presentation_copy"),
         },
+        {
+            "name": "public_cards_reference_taskfirst_figure",
+            "status": "pass" if all(item["status"] == "pass" for item in card_freshness) else "fail",
+            "failures": [item for item in card_freshness if item["status"] != "pass"],
+        },
     ]
     status = "pass" if all(check["status"] == "pass" for check in checks) else "fail"
     return {
@@ -245,6 +319,7 @@ def build_report(hf_root: Path) -> dict:
         "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
         "checks": checks,
         "required_assets": assets,
+        "public_card_freshness": card_freshness,
         "scans": scans,
         "violations": violations,
     }