Refine reader-facing scope wording (2/4)

data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-21T20:35:18+00:00",
+  "generated_at_utc": "2026-06-22T09:57:42+00:00",
   "status": "pass",
   "artifact_count": 228,
   "missing": [],
@@ -92,8 +92,8 @@
       "surface": "repo_hf",
       "shows": "Defines terminology that can be confused across data scope, task metrics, model branches, and public mirrors.",
       "exists": true,
-      "bytes": 10857,
-      "sha256": "b9b8f8695b6c211e849073e1634057f158877a61161eca05b1266769158ee83e"
+      "bytes": 10861,
+      "sha256": "7840db0fabaa4a4d1af706de1b14b2c566ba3a38b53ef68b082cf7ba24b8d9c5"
     },
     {
       "id": "glossary_json",
@@ -103,8 +103,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable terminology layer for the website, artifact dataset, model mirror, and public QA checks.",
       "exists": true,
-      "bytes": 18754,
-      "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+      "bytes": 18767,
+      "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
     },
     {
       "id": "research_roadmap",
@@ -125,8 +125,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable research roadmap for the website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 14129,
-      "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+      "bytes": 14143,
+      "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
     },
     {
       "id": "foundation_model_plan",
@@ -147,8 +147,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable foundation-model selection matrix with source links, entry conditions, and evaluation additions.",
       "exists": true,
-      "bytes": 13925,
-      "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+      "bytes": 13918,
+      "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
     },
     {
       "id": "three_foundation_pipelines",
@@ -158,8 +158,8 @@
       "surface": "repo_hf",
       "shows": "Frames spatial intelligence, human-video world modeling, and vision-language-action as three pipeline tracks with explicit inputs, outputs, maturity, and next evidence gates.",
       "exists": true,
-      "bytes": 11609,
-      "sha256": "69d4d8781015c807c58a720b3bf967ee872540a2fe2b7e7973105946c5a1cf11"
+      "bytes": 11608,
+      "sha256": "6bf518b7db4eb1c31ed3bc0529465c3a1d142c541b2faac535449a59081f4e28"
     },
     {
       "id": "three_foundation_pipelines_json",
@@ -169,8 +169,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable pipeline-track contract for the website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 14465,
-      "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+      "bytes": 14487,
+      "sha256": "269afec5a7f3377d0885a54aae5a596dd78f2ff945eb4978f1c08ed9e9518a09"
     },
     {
       "id": "spatial_intelligence_slide_diagram",
@@ -632,7 +632,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "2f3d03a1c56ebb1b220574e565a05d35705a10a22d1cb7ecdcb1452630574bc9"
+      "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
     },
     {
       "id": "source_alignment_validator",
@@ -686,8 +686,8 @@
       "surface": "repo_hf",
       "shows": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
       "exists": true,
-      "bytes": 8905,
-      "sha256": "f82e9b9c4a07e95776005968788e7acdaae9e322991113d79432d59057181add"
+      "bytes": 8919,
+      "sha256": "02f0b23d2faa85d97c76f0aecedc63d47dbd2b1c00b2448ebba4334875ef6506"
     },
     {
       "id": "evaluation_protocol_json",
@@ -697,8 +697,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
-      "bytes": 24267,
-      "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+      "bytes": 24281,
+      "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
     },
     {
       "id": "evaluation_protocol_builder",
@@ -708,8 +708,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
       "exists": true,
-      "bytes": 19845,
-      "sha256": "b5d888fd67ba6b8150b24960aa0858db50f16a5c7b59a8ce274401e384f0a2a3"
+      "bytes": 19859,
+      "sha256": "bdf7308924e278b3075c334dc70bae76d8e3b1fc36d977d07a59ce6703151a39"
     },
     {
       "id": "task_suite_20",
@@ -1182,7 +1182,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8640,
-      "sha256": "87c26049df761996430f1ca6ef25ee53400387f907f356dcea6b3fcc7d6dac82"
+      "sha256": "84adc1c4d35a7869d01ccb3616c6486472bc04147d57f23f0e0904106e9eaf45"
     },
     {
       "id": "public_surface_qa",
@@ -1201,7 +1201,7 @@
       "path": "PUBLIC_READER_MAP.md",
       "kind": "project_path",
       "surface": "repo_hf",
-      "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, Qwen3-Omni/Cosmos3 repos, evidence lines, and claim boundaries.",
+      "shows": "Provides the first-pass navigation layer for GitHub, GitHub Pages, Hugging Face mirrors, Qwen3-Omni/Cosmos3 repos, evidence lines, and result-reading lanes.",
       "exists": true,
       "bytes": 5746,
       "sha256": "99ede76679880537bcf65d9503a848c9cd6ca464b3cd92c48eaa62ec5a8655eb"
@@ -1351,8 +1351,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 68407,
-      "sha256": "9f5fc1af7c4c23083975066691bf6d75aa99280961198e2c47be88754c142418"
+      "bytes": 68411,
+      "sha256": "05086c840bd7a0b486f62bc1158ec0a2b27ad5d00416063eb421797837caeea8"
     },
     {
       "id": "publication_audit",
@@ -1387,7 +1387,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 1420751,
+      "bytes": 1460402,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1399,7 +1399,7 @@
       "volatile": true,
       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 20178,
+      "bytes": 24946,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1564,8 +1564,8 @@
       "surface": "website_hf",
       "shows": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
       "exists": true,
-      "bytes": 1897278,
-      "sha256": "71b1ab150e952cf902488226c65b3822d8016974f63d111204c1eb1a7745faad"
+      "bytes": 2071256,
+      "sha256": "41b58e41b69ed8114b58f0f3cc1371d8a394f255602ad3fa26a1e8b8b38cbdcb"
     },
     {
       "id": "modality_atlas",

data/evaluation_protocol.json

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
-  "generated_at_utc": "2026-06-21T15:20:33+00:00",
+  "generated_at_utc": "2026-06-22T09:56:30+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
@@ -509,7 +509,7 @@
   "current_limitations": [
     "Cross-episode generalization for Qwen3-Omni has a first verified diagnostic pilot, but strong model quality is not yet shown.",
     "Feature-vector reconstruction is separate from pixel depth, mesh, NeRF, or Gaussian reconstruction.",
-    "The final verified Qwen3-Omni diagnostic result meets the strict-JSON target, but action/subtask held-out quality remains weak and needs error analysis before larger model-quality claims.",
+    "The final verified Qwen3-Omni diagnostic result meets the strict-JSON target, but action/subtask held-out quality remains weak and needs error analysis before presenting stronger model-quality numbers.",
     "Full audio-visual representation learning still needs multi-episode training; the current report includes single-episode audio/no-audio ablations."
   ],
   "scale_up_gate": {

data/foundation_model_plan.json

@@ -5,7 +5,7 @@
   "pipeline_tracks": {
     "source_document": "THREE_FOUNDATION_PIPELINES.md",
     "data": "docs/data/three_foundation_pipelines.json",
-    "claim_boundary": "Spatial intelligence, human-video world modeling, and vision-language-action are supported pipeline directions with separate artifact gates, not three completed model-quality claims.",
+    "reader_note": "Spatial intelligence, human-video world modeling, and vision-language-action are supported pipeline directions with separate data exports, training recipes, and evaluation gates.",
     "track_ids": [
       "spatial_intelligence",
       "human_video_world_models",

data/glossary.json

@@ -6,7 +6,7 @@
     {
       "id": "dataset_scope",
       "label": "Dataset and scope",
-      "description": "Public data boundaries, evidence lines, and what each result can claim."
+      "description": "Public data boundaries, evidence lines, and how each result family should be read."
     },
     {
       "id": "files_features",
@@ -43,7 +43,7 @@
       "category": "dataset_scope",
       "plain_meaning": "One officially available sample episode.",
       "project_usage": "The fully inspectable Line 1 unit used for raw-file browsing, 20-frame windows, task construction, and single-episode baselines.",
-      "do_not_confuse_with": "Multi-episode generalization.",
+      "do_not_confuse_with": "The selected-128 comparison rows.",
       "primary_files": ["docs/data/raw_sample_files.json", "docs/single_episode_explorer.html"]
     },
     {
@@ -57,7 +57,7 @@
     {
       "term": "Evidence line",
       "category": "dataset_scope",
-      "plain_meaning": "A claim boundary for a group of results.",
+      "plain_meaning": "A reading lane for a group of results.",
       "project_usage": "Line 1 is one public sample episode; Line 2 is selected-128 held-out comparison.",
       "do_not_confuse_with": "Qwen run versions v1-v6, which are model-run lineage.",
       "primary_files": ["TWO_EVIDENCE_LINES.md", "docs/data/two_evidence_lines.json"]

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-22T09:12:14+00:00",
+  "generated_at_utc": "2026-06-22T10:19:19+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1286,
@@ -138,45 +138,45 @@
       "local": {
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
-        "bytes": 124471,
-        "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+        "bytes": 124475,
+        "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         },
         "hf_model_data": {
           "path": "hf_model:data/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
-          "bytes": 124471,
-          "sha256": "3dcc33341971c740d35cebe46c4f3d1cf98e2c5ad3b7cbefd0058f6099b64a17"
+          "bytes": 124475,
+          "sha256": "2f50f25c2ac25f0bc742b06d3dac7f26c9c637acf1a94d659354bd98787fbbe4"
         }
       },
       "failures": []
@@ -285,45 +285,45 @@
       "local": {
         "path": "repo:docs/data/evaluation_protocol.json",
         "exists": true,
-        "bytes": 24267,
-        "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+        "bytes": 24281,
+        "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         },
         "hf_model_data": {
           "path": "hf_model:data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         },
         "hf_model": {
           "path": "hf_model:metrics/evaluation_protocol.json",
           "exists": true,
-          "bytes": 24267,
-          "sha256": "83289b52e0193fa86d63fac7dd8af98d0612199b1e1a5f5ed37014baa9168656"
+          "bytes": 24281,
+          "sha256": "5da192ba75ec3a3455818ec52f8fb41b0897c537e0c6cf8c854acf39176e7c9d"
         }
       },
       "failures": []
@@ -383,45 +383,45 @@
       "local": {
         "path": "repo:docs/data/foundation_model_plan.json",
         "exists": true,
-        "bytes": 13925,
-        "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+        "bytes": 13918,
+        "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         },
         "hf_model_data": {
           "path": "hf_model:data/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         },
         "hf_model": {
           "path": "hf_model:metrics/foundation_model_plan.json",
           "exists": true,
-          "bytes": 13925,
-          "sha256": "77d4b2d5918ef1f776de6d29d34d523de95ba58df9526e2b255bed567434f932"
+          "bytes": 13918,
+          "sha256": "bed648548a13db3a37720932c0c8fb6cde4ba12b43d35721843afcce391bf81c"
         }
       },
       "failures": []
@@ -432,45 +432,45 @@
       "local": {
         "path": "repo:docs/data/glossary.json",
         "exists": true,
-        "bytes": 18754,
-        "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+        "bytes": 18767,
+        "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         },
         "hf_model_data": {
           "path": "hf_model:data/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         },
         "hf_model": {
           "path": "hf_model:metrics/glossary.json",
           "exists": true,
-          "bytes": 18754,
-          "sha256": "b1dc42e1f42a7c19bb4b2ebd32a0862df28bec671eaa849b09a97f103675e9eb"
+          "bytes": 18767,
+          "sha256": "d900f71e9e28540efbd258acff686d01e1d6046834872c74d0494393c8525b9a"
         }
       },
       "failures": []
@@ -972,44 +972,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 10940,
-        "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+        "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         },
         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "374558be541417ec006339cd05e17e6ae9ed8239b4c79d61b6f92e854eefa33a"
+          "sha256": "92b4c98c0c4ba0f029b9790c68034d8c4d0441a6e795901f066705b9825124c1"
         }
       },
       "failures": []
@@ -1021,44 +1021,44 @@
         "path": "repo:docs/data/public_surface_qa.json",
         "exists": true,
         "bytes": 7693,
-        "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+        "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         },
         "hf_model_data": {
           "path": "hf_model:data/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         },
         "hf_model": {
           "path": "hf_model:metrics/public_surface_qa.json",
           "exists": true,
           "bytes": 7693,
-          "sha256": "549b24de46842732016f9b2330b229e22b9949bd9de66a5917471161e32e9a55"
+          "sha256": "96dd688c59a2b3e96bc2da3b3ee849a311c2ecc5879e70158c9aa30067a107c5"
         }
       },
       "failures": []
@@ -1412,45 +1412,45 @@
       "local": {
         "path": "repo:docs/data/research_roadmap.json",
         "exists": true,
-        "bytes": 14129,
-        "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+        "bytes": 14143,
+        "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         },
         "hf_model_data": {
           "path": "hf_model:data/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         },
         "hf_model": {
           "path": "hf_model:metrics/research_roadmap.json",
           "exists": true,
-          "bytes": 14129,
-          "sha256": "a06d6525d9532b8608bf7be81eb9387deca3159b7c42bf38e107b4096953f351"
+          "bytes": 14143,
+          "sha256": "c0511820df58f2ebf96c121ce4cca7d257e05f712d77f122745891ae29f9fc2a"
         }
       },
       "failures": []
@@ -1461,45 +1461,45 @@
       "local": {
         "path": "repo:docs/data/research_roadmap_interactive.json",
         "exists": true,
-        "bytes": 191028,
-        "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+        "bytes": 191136,
+        "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         },
         "hf_model_data": {
           "path": "hf_model:data/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         },
         "hf_model": {
           "path": "hf_model:metrics/research_roadmap_interactive.json",
           "exists": true,
-          "bytes": 191028,
-          "sha256": "b5b8bb4eee8cf176d27865f6f65509d7f0d8f6fab578bec648d60cfba57f76f3"
+          "bytes": 191136,
+          "sha256": "cc5ed6b85e8e38341b0ea66995c008d85edc4d0c696000c4cdbe3d096f2d766c"
         }
       },
       "failures": []
@@ -1756,44 +1756,44 @@
         "path": "repo:docs/data/source_alignment_audit.json",
         "exists": true,
         "bytes": 4432,
-        "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+        "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         },
         "hf_model_data": {
           "path": "hf_model:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         },
         "hf_model": {
           "path": "hf_model:metrics/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "154b1b44cfcf21a0a90c6cce9baaa9c34f671d621748064af12eec8b5ecb4fe3"
+          "sha256": "ed31f1b50f2ba4fa59880e8fc4091de7e9d8ed0d9c73b87d8a48ee669baf1daf"
         }
       },
       "failures": []
@@ -1951,45 +1951,45 @@
       "local": {
         "path": "repo:docs/data/three_foundation_pipelines.json",
         "exists": true,
-        "bytes": 14465,
-        "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+        "bytes": 14557,
+        "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         },
         "hf_model_data": {
           "path": "hf_model:data/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         },
         "hf_model": {
           "path": "hf_model:metrics/three_foundation_pipelines.json",
           "exists": true,
-          "bytes": 14465,
-          "sha256": "c8c9b7a9ee8d3ecfe8662cf0336a7ca2ade6d670c5567d2a50dfb67c7241defd"
+          "bytes": 14557,
+          "sha256": "09f0f25d7b219eea6e4d9d0adcab96d528015f9e5188c54ff00ab6a3e5e1a0e8"
         }
       },
       "failures": []
@@ -2000,45 +2000,45 @@
       "local": {
         "path": "repo:docs/data/two_evidence_lines.json",
         "exists": true,
-        "bytes": 7351,
-        "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+        "bytes": 7386,
+        "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         },
         "hf_model_data": {
           "path": "hf_model:data/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         },
         "hf_model": {
           "path": "hf_model:metrics/two_evidence_lines.json",
           "exists": true,
-          "bytes": 7351,
-          "sha256": "3e9870122c495361d237acdcfdd05a0900b52179fc0db611291d3edc186b0667"
+          "bytes": 7386,
+          "sha256": "95e2457b8202f0de01394ba96fb4d735b723813ab007931129fceea4e559a59b"
         }
       },
       "failures": []
@@ -2049,45 +2049,45 @@
       "local": {
         "path": "repo:docs/data/two_evidence_line_result_summary.json",
         "exists": true,
-        "bytes": 17416,
-        "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+        "bytes": 17451,
+        "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         },
         "hf_model_data": {
           "path": "hf_model:data/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         },
         "hf_model": {
           "path": "hf_model:metrics/two_evidence_line_result_summary.json",
           "exists": true,
-          "bytes": 17416,
-          "sha256": "33f8d9280a6b77f5922b37d32d17949683b27eee362be8cf220a7bda80282408"
+          "bytes": 17451,
+          "sha256": "9695772fa4849ea34f85262163e3dd79ab96c13b0e44e579daa0b0c7ffef1345"
         }
       },
       "failures": []
@@ -2197,44 +2197,44 @@
         "path": "repo:docs/data/task_surface_integrity.json",
         "exists": true,
         "bytes": 46246,
-        "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+        "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         },
         "hf_model_data": {
           "path": "hf_model:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         },
         "hf_model": {
           "path": "hf_model:metrics/task_surface_integrity.json",
           "exists": true,
           "bytes": 46246,
-          "sha256": "026a9e02241bceb0b034d771f9345ffc69cf45297be8d7a9bb97e707f8bafd7b"
+          "sha256": "2f373c4b6cefb0e6fd33340ba2ecf063c661e9f71eeefe53d55cad292027b44c"
         }
       },
       "failures": []
@@ -2589,44 +2589,44 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 24946,
-        "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+        "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         },
         "hf_model_data": {
           "path": "hf_model:data/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 24946,
-          "sha256": "571360963c006579eb81d36b9c66870ef22e2211a9a6a36f5bb25f6da41d25bc"
+          "sha256": "8d92ac3a09793574d7816aa7d370ddb5501d3f5942df18d34761a165b30333f6"
         }
       },
       "failures": []
@@ -6375,21 +6375,21 @@
       "local": {
         "path": "repo:scripts/build_artifact_index.py",
         "exists": true,
-        "bytes": 68407,
-        "sha256": "9f5fc1af7c4c23083975066691bf6d75aa99280961198e2c47be88754c142418"
+        "bytes": 68411,
+        "sha256": "05086c840bd7a0b486f62bc1158ec0a2b27ad5d00416063eb421797837caeea8"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/build_artifact_index.py",
           "exists": true,
-          "bytes": 68407,
-          "sha256": "9f5fc1af7c4c23083975066691bf6d75aa99280961198e2c47be88754c142418"
+          "bytes": 68411,
+          "sha256": "05086c840bd7a0b486f62bc1158ec0a2b27ad5d00416063eb421797837caeea8"
         },
         "hf_model": {
           "path": "hf_model:scripts/build_artifact_index.py",
           "exists": true,
-          "bytes": 68407,
-          "sha256": "9f5fc1af7c4c23083975066691bf6d75aa99280961198e2c47be88754c142418"
+          "bytes": 68411,
+          "sha256": "05086c840bd7a0b486f62bc1158ec0a2b27ad5d00416063eb421797837caeea8"
         }
       },
       "failures": []
@@ -6425,21 +6425,21 @@
       "local": {
         "path": "repo:scripts/build_evaluation_protocol.py",
         "exists": true,
-        "bytes": 19845,
-        "sha256": "b5d888fd67ba6b8150b24960aa0858db50f16a5c7b59a8ce274401e384f0a2a3"
+        "bytes": 19859,
+        "sha256": "bdf7308924e278b3075c334dc70bae76d8e3b1fc36d977d07a59ce6703151a39"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/build_evaluation_protocol.py",
           "exists": true,
-          "bytes": 19845,
-          "sha256": "b5d888fd67ba6b8150b24960aa0858db50f16a5c7b59a8ce274401e384f0a2a3"
+          "bytes": 19859,
+          "sha256": "bdf7308924e278b3075c334dc70bae76d8e3b1fc36d977d07a59ce6703151a39"
         },
         "hf_model": {
           "path": "hf_model:scripts/build_evaluation_protocol.py",
           "exists": true,
-          "bytes": 19845,
-          "sha256": "b5d888fd67ba6b8150b24960aa0858db50f16a5c7b59a8ce274401e384f0a2a3"
+          "bytes": 19859,
+          "sha256": "bdf7308924e278b3075c334dc70bae76d8e3b1fc36d977d07a59ce6703151a39"
         }
       },
       "failures": []
@@ -6575,21 +6575,21 @@
       "local": {
         "path": "repo:scripts/build_interactive_research_roadmap.py",
         "exists": true,
-        "bytes": 11420,
-        "sha256": "bfff3959c52722e25274334ba52da15ce4327a58c939b510bff59631eb9764c0"
+        "bytes": 11414,
+        "sha256": "e94788de3d111dcc467f219c05c071b0ab2c68b3882a739c968bd18c5707086f"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/build_interactive_research_roadmap.py",
           "exists": true,
-          "bytes": 11420,
-          "sha256": "bfff3959c52722e25274334ba52da15ce4327a58c939b510bff59631eb9764c0"
+          "bytes": 11414,
+          "sha256": "e94788de3d111dcc467f219c05c071b0ab2c68b3882a739c968bd18c5707086f"
         },
         "hf_model": {
           "path": "hf_model:scripts/build_interactive_research_roadmap.py",
           "exists": true,
-          "bytes": 11420,
-          "sha256": "bfff3959c52722e25274334ba52da15ce4327a58c939b510bff59631eb9764c0"
+          "bytes": 11414,
+          "sha256": "e94788de3d111dcc467f219c05c071b0ab2c68b3882a739c968bd18c5707086f"
         }
       },
       "failures": []
@@ -6600,21 +6600,21 @@
       "local": {
         "path": "repo:scripts/build_multilingual_public_readmes.py",
         "exists": true,
-        "bytes": 52762,
-        "sha256": "aca17a5c3b79076dbb1541915d1a0a661bc86252622b020e3ac7b7fd284ede7e"
+        "bytes": 52886,
+        "sha256": "33f33923d846d60a3207d791ef587b19c0bb499902ef57dea7d9f5697b0ab450"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/build_multilingual_public_readmes.py",
           "exists": true,
-          "bytes": 52762,
-          "sha256": "aca17a5c3b79076dbb1541915d1a0a661bc86252622b020e3ac7b7fd284ede7e"
+          "bytes": 52886,
+          "sha256": "33f33923d846d60a3207d791ef587b19c0bb499902ef57dea7d9f5697b0ab450"
         },
         "hf_model": {
           "path": "hf_model:scripts/build_multilingual_public_readmes.py",
           "exists": true,
-          "bytes": 52762,
-          "sha256": "aca17a5c3b79076dbb1541915d1a0a661bc86252622b020e3ac7b7fd284ede7e"
+          "bytes": 52886,
+          "sha256": "33f33923d846d60a3207d791ef587b19c0bb499902ef57dea7d9f5697b0ab450"
         }
       },
       "failures": []
@@ -7379,39 +7379,39 @@
       "local": {
         "path": "repo:docs/index.html",
         "exists": true,
-        "bytes": 371724,
-        "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+        "bytes": 371870,
+        "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:index.html",
           "exists": true,
-          "bytes": 371724,
-          "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+          "bytes": 371870,
+          "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
         },
         "hf_artifacts_root": {
           "path": "hf_artifacts:index.html",
           "exists": true,
-          "bytes": 371724,
-          "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+          "bytes": 371870,
+          "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/index.html",
           "exists": true,
-          "bytes": 371724,
-          "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+          "bytes": 371870,
+          "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
         },
         "hf_model": {
           "path": "hf_model:index.html",
           "exists": true,
-          "bytes": 371724,
-          "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+          "bytes": 371870,
+          "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
         },
         "hf_model_docs": {
           "path": "hf_model:docs/index.html",
           "exists": true,
-          "bytes": 371724,
-          "sha256": "e994787e68a24adabdb1bc87a8c89593c9313649927a7e714abe8b818a1c0d1a"
+          "bytes": 371870,
+          "sha256": "eb0e927eadbf0b5e5c1d03c59da40b160f06a39fef948cbfbf838aeddcc1e5ab"
         }
       },
       "failures": []
@@ -32044,27 +32044,27 @@
       "local": {
         "path": "repo:EVALUATION_PROTOCOL.md",
         "exists": true,
-        "bytes": 8905,
-        "sha256": "f82e9b9c4a07e95776005968788e7acdaae9e322991113d79432d59057181add"
+        "bytes": 8919,
+        "sha256": "02f0b23d2faa85d97c76f0aecedc63d47dbd2b1c00b2448ebba4334875ef6506"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:EVALUATION_PROTOCOL.md",
           "exists": true,
-          "bytes": 8905,
-          "sha256": "f82e9b9c4a07e95776005968788e7acdaae9e322991113d79432d59057181add"
+          "bytes": 8919,
+          "sha256": "02f0b23d2faa85d97c76f0aecedc63d47dbd2b1c00b2448ebba4334875ef6506"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:EVALUATION_PROTOCOL.md",
           "exists": true,
-          "bytes": 8905,
-          "sha256": "f82e9b9c4a07e95776005968788e7acdaae9e322991113d79432d59057181add"
+          "bytes": 8919,
+          "sha256": "02f0b23d2faa85d97c76f0aecedc63d47dbd2b1c00b2448ebba4334875ef6506"
         },
         "hf_model": {
           "path": "hf_model:EVALUATION_PROTOCOL.md",
           "exists": true,
-          "bytes": 8905,
-          "sha256": "f82e9b9c4a07e95776005968788e7acdaae9e322991113d79432d59057181add"
+          "bytes": 8919,
+          "sha256": "02f0b23d2faa85d97c76f0aecedc63d47dbd2b1c00b2448ebba4334875ef6506"
         }
       },
       "failures": []
@@ -32137,27 +32137,27 @@
       "local": {
         "path": "repo:GLOSSARY.md",
         "exists": true,
-        "bytes": 10857,
-        "sha256": "b9b8f8695b6c211e849073e1634057f158877a61161eca05b1266769158ee83e"
+        "bytes": 10861,
+        "sha256": "7840db0fabaa4a4d1af706de1b14b2c566ba3a38b53ef68b082cf7ba24b8d9c5"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:GLOSSARY.md",
           "exists": true,
-          "bytes": 10857,
-          "sha256": "b9b8f8695b6c211e849073e1634057f158877a61161eca05b1266769158ee83e"
+          "bytes": 10861,
+          "sha256": "7840db0fabaa4a4d1af706de1b14b2c566ba3a38b53ef68b082cf7ba24b8d9c5"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:GLOSSARY.md",
           "exists": true,
-          "bytes": 10857,
-          "sha256": "b9b8f8695b6c211e849073e1634057f158877a61161eca05b1266769158ee83e"
+          "bytes": 10861,
+          "sha256": "7840db0fabaa4a4d1af706de1b14b2c566ba3a38b53ef68b082cf7ba24b8d9c5"
         },
         "hf_model": {
           "path": "hf_model:GLOSSARY.md",
           "exists": true,
-          "bytes": 10857,
-          "sha256": "b9b8f8695b6c211e849073e1634057f158877a61161eca05b1266769158ee83e"
+          "bytes": 10861,
+          "sha256": "7840db0fabaa4a4d1af706de1b14b2c566ba3a38b53ef68b082cf7ba24b8d9c5"
         }
       },
       "failures": []
@@ -32199,27 +32199,27 @@
       "local": {
         "path": "repo:THREE_FOUNDATION_PIPELINES.md",
         "exists": true,
-        "bytes": 11609,
-        "sha256": "69d4d8781015c807c58a720b3bf967ee872540a2fe2b7e7973105946c5a1cf11"
+        "bytes": 11708,
+        "sha256": "1bddaa155c2e824bfa04f39be4ba3ee11bdfa3eadaf144828838a3452a65e086"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:THREE_FOUNDATION_PIPELINES.md",
           "exists": true,
-          "bytes": 11609,
-          "sha256": "69d4d8781015c807c58a720b3bf967ee872540a2fe2b7e7973105946c5a1cf11"
+          "bytes": 11708,
+          "sha256": "1bddaa155c2e824bfa04f39be4ba3ee11bdfa3eadaf144828838a3452a65e086"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:THREE_FOUNDATION_PIPELINES.md",
           "exists": true,
-          "bytes": 11609,
-          "sha256": "69d4d8781015c807c58a720b3bf967ee872540a2fe2b7e7973105946c5a1cf11"
+          "bytes": 11708,
+          "sha256": "1bddaa155c2e824bfa04f39be4ba3ee11bdfa3eadaf144828838a3452a65e086"
         },
         "hf_model": {
           "path": "hf_model:THREE_FOUNDATION_PIPELINES.md",
           "exists": true,
-          "bytes": 11609,
-          "sha256": "69d4d8781015c807c58a720b3bf967ee872540a2fe2b7e7973105946c5a1cf11"
+          "bytes": 11708,
+          "sha256": "1bddaa155c2e824bfa04f39be4ba3ee11bdfa3eadaf144828838a3452a65e086"
         }
       },
       "failures": []
@@ -32230,27 +32230,27 @@
       "local": {
         "path": "repo:TWO_EVIDENCE_LINES.md",
         "exists": true,
-        "bytes": 4325,
-        "sha256": "db6768959591dc8501bf53f1c398f0db51027f66e1c3b15ceb25396d94705bfc"
+        "bytes": 4427,
+        "sha256": "cdeb76ea4b22a29880004c195eac1b734f3250243bdbcd415d0cdddfbabd1282"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:TWO_EVIDENCE_LINES.md",
           "exists": true,
-          "bytes": 4325,
-          "sha256": "db6768959591dc8501bf53f1c398f0db51027f66e1c3b15ceb25396d94705bfc"
+          "bytes": 4427,
+          "sha256": "cdeb76ea4b22a29880004c195eac1b734f3250243bdbcd415d0cdddfbabd1282"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:TWO_EVIDENCE_LINES.md",
           "exists": true,
-          "bytes": 4325,
-          "sha256": "db6768959591dc8501bf53f1c398f0db51027f66e1c3b15ceb25396d94705bfc"
+          "bytes": 4427,
+          "sha256": "cdeb76ea4b22a29880004c195eac1b734f3250243bdbcd415d0cdddfbabd1282"
         },
         "hf_model": {
           "path": "hf_model:TWO_EVIDENCE_LINES.md",
           "exists": true,
-          "bytes": 4325,
-          "sha256": "db6768959591dc8501bf53f1c398f0db51027f66e1c3b15ceb25396d94705bfc"
+          "bytes": 4427,
+          "sha256": "cdeb76ea4b22a29880004c195eac1b734f3250243bdbcd415d0cdddfbabd1282"
         }
       },
       "failures": []
@@ -32261,27 +32261,27 @@
       "local": {
         "path": "repo:TWO_EVIDENCE_LINE_RESULT_SUMMARY.md",
         "exists": true,
-        "bytes": 8726,
-        "sha256": "23a459e2903af252b1e99a8fe5bf63e3e282d7d126f76b54141700ab5fb07ca8"
+        "bytes": 8744,
+        "sha256": "33a0a5196c5dd1ee1c5b6ee14e0059d18f2bff954cd1666a10f78088901027b6"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:TWO_EVIDENCE_LINE_RESULT_SUMMARY.md",
           "exists": true,
-          "bytes": 8726,
-          "sha256": "23a459e2903af252b1e99a8fe5bf63e3e282d7d126f76b54141700ab5fb07ca8"
+          "bytes": 8744,
+          "sha256": "33a0a5196c5dd1ee1c5b6ee14e0059d18f2bff954cd1666a10f78088901027b6"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:TWO_EVIDENCE_LINE_RESULT_SUMMARY.md",
           "exists": true,
-          "bytes": 8726,
-          "sha256": "23a459e2903af252b1e99a8fe5bf63e3e282d7d126f76b54141700ab5fb07ca8"
+          "bytes": 8744,
+          "sha256": "33a0a5196c5dd1ee1c5b6ee14e0059d18f2bff954cd1666a10f78088901027b6"
         },
         "hf_model": {
           "path": "hf_model:TWO_EVIDENCE_LINE_RESULT_SUMMARY.md",
           "exists": true,
-          "bytes": 8726,
-          "sha256": "23a459e2903af252b1e99a8fe5bf63e3e282d7d126f76b54141700ab5fb07ca8"
+          "bytes": 8744,
+          "sha256": "33a0a5196c5dd1ee1c5b6ee14e0059d18f2bff954cd1666a10f78088901027b6"
         }
       },
       "failures": []
@@ -32323,27 +32323,27 @@
       "local": {
         "path": "repo:PROJECT_BRIEF.md",
         "exists": true,
-        "bytes": 4826,
-        "sha256": "3e432c722daca11e1932a8056d73b9debb6f2c52c13d7b21e9871bb2a490d79d"
+        "bytes": 4844,
+        "sha256": "2c47eb3fda8d07577d2dab2c485c6b12b4f77a8452fedc86dbb205d416a688e4"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:PROJECT_BRIEF.md",
           "exists": true,
-          "bytes": 4826,
-          "sha256": "3e432c722daca11e1932a8056d73b9debb6f2c52c13d7b21e9871bb2a490d79d"
+          "bytes": 4844,
+          "sha256": "2c47eb3fda8d07577d2dab2c485c6b12b4f77a8452fedc86dbb205d416a688e4"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:PROJECT_BRIEF.md",
           "exists": true,
-          "bytes": 4826,
-          "sha256": "3e432c722daca11e1932a8056d73b9debb6f2c52c13d7b21e9871bb2a490d79d"
+          "bytes": 4844,
+          "sha256": "2c47eb3fda8d07577d2dab2c485c6b12b4f77a8452fedc86dbb205d416a688e4"
         },
         "hf_model": {
           "path": "hf_model:PROJECT_BRIEF.md",
           "exists": true,
-          "bytes": 4826,
-          "sha256": "3e432c722daca11e1932a8056d73b9debb6f2c52c13d7b21e9871bb2a490d79d"
+          "bytes": 4844,
+          "sha256": "2c47eb3fda8d07577d2dab2c485c6b12b4f77a8452fedc86dbb205d416a688e4"
         }
       },
       "failures": []

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T20:58:18+00:00",
+  "generated_at_utc": "2026-06-22T10:20:26+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:54:25+00:00"
+          "generated_at_utc": "2026-06-22T10:09:34+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:35:22+00:00"
+          "generated_at_utc": "2026-06-22T10:10:38+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:35:22+00:00"
+          "generated_at_utc": "2026-06-22T10:10:38+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:35:22+00:00"
+          "generated_at_utc": "2026-06-21T20:58:21+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:35:41+00:00"
+          "generated_at_utc": "2026-06-22T10:19:22+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T20:37:01+00:00"
+          "generated_at_utc": "2026-06-22T10:19:19+00:00"
         }
       },
       "failures": {}
@@ -96,9 +96,9 @@
       "reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
       "marker_counts": {
         "Ropedia Xperience-10M Task Suite": 22,
-        "Xperience-10M": 173,
-        "20-task": 107,
-        "Qwen3-Omni": 239,
+        "Xperience-10M": 174,
+        "20-task": 110,
+        "Qwen3-Omni": 240,
         "128-episode pilot": 1
       }
     },

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-22T09:12:33+00:00",
+  "generated_at_utc": "2026-06-22T10:19:22+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -257,7 +257,7 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 4614,
+      "file_count": 4702,
       "text_file_count": 1328,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
@@ -268,7 +268,7 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 5374,
+      "file_count": 5464,
       "text_file_count": 1502,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T20:35:18+00:00",
+  "generated_at_utc": "2026-06-22T10:20:26+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

data/research_roadmap.json

@@ -142,7 +142,7 @@
                 "held-out metrics by failure type",
                 "verified public-safe package"
             ],
-            "reader_takeaway": "The next pass should improve action/subtask quality before larger model-quality claims."
+            "reader_takeaway": "The next pass should improve action/subtask quality before presenting stronger model-quality numbers."
         },
         {
             "id": "foundation_model_selection_matrix",

data/research_roadmap_interactive.json

@@ -2862,7 +2862,7 @@
     ],
     "status": "planning_artifact"
   },
-  "generated_at_utc": "2026-06-21T19:51:24+00:00",
+  "generated_at_utc": "2026-06-22T10:07:43+00:00",
   "omni_plan": {
     "adapter": "LoRA rank 16, alpha 32, dropout 0.05",
     "backbone": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
@@ -3013,7 +3013,7 @@
       "entry_condition": "The final diagnostic package meets strict JSON validity but has weak action/subtask held-out quality.",
       "id": "qwen3_omni_structured_output_error_analysis",
       "name": "Action/Subtask Error-Analysis Pass",
-      "reader_takeaway": "The next pass should improve action/subtask quality before larger model-quality claims.",
+      "reader_takeaway": "The next pass should improve action/subtask quality before presenting stronger model-quality numbers.",
       "stage": "future",
       "status": "active_next_step"
     },
@@ -4197,17 +4197,12 @@
     }
   ],
   "three_foundation_pipelines": {
-    "claim_boundary": "These are supported pipeline directions, not three completed model-quality claims.",
+    "reader_note": "These are supported pipeline directions with concrete data exports, training recipes, and evaluation gates.",
     "source_document": "THREE_FOUNDATION_PIPELINES.md",
     "status": "pipeline_plan",
     "title": "Three Foundation Pipeline Tracks",
     "tracks": [
       {
-        "avoid_claiming_now": [
-          "full neural rendering",
-          "full 3D reconstruction",
-          "general spatial intelligence without artifact-level evidence"
-        ],
         "core_inputs": [
           "multiview RGB",
           "egocentric video",
@@ -4251,7 +4246,7 @@
               "held-out episode spatial metrics",
               "count and relation accuracy",
               "retrieval rank and consistency",
-              "saved predictions before public claim"
+              "saved predictions before public package update"
             ],
             "stage": "evaluate_gates"
           }
@@ -4269,8 +4264,13 @@
           "spatial QA prompts"
         ],
         "next_gate": "Raw depth and pose artifacts plus held-out multi-episode spatial metrics.",
+        "next_readout_before_stronger_positioning": [
+          "held-out spatial QA",
+          "pose consistency",
+          "object-counting and scene-memory metrics"
+        ],
         "one_sample_training_io": {
-          "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; full spatial-intelligence claims require held-out multi-episode depth/pose/scene-memory metrics.",
+          "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; the next spatial-intelligence readout is held-out depth, pose, and scene-memory metrics.",
           "existing_task_hooks": [
             "object_relevance",
             "modality_reconstruction",
@@ -4303,10 +4303,6 @@
         "website_image": "assets/foundation-pipelines/spatial-intelligence-pipeline.png"
       },
       {
-        "avoid_claiming_now": [
-          "strong world model from structured future-task scores alone",
-          "visual future quality without visual or latent future metrics"
-        ],
         "core_inputs": [
           "observed video windows",
           "audio",
@@ -4356,7 +4352,7 @@
           }
         ],
         "diagram_image": "docs/assets/foundation-pipelines/human-video-world-model-pipeline.png",
-        "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before claiming world-model quality.",
+        "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before presenting world-model quality.",
         "id": "human_video_world_models",
         "image_alt": "High-resolution slide diagram showing the Human-video world models direction for Xperience-10M.",
         "intermediate_artifacts": [
@@ -4367,8 +4363,13 @@
           "temporal consistency metadata"
         ],
         "next_gate": "Stronger future-state metrics, qualitative future examples, and held-out episode breakdowns.",
+        "next_readout_before_stronger_positioning": [
+          "latent or visual future metrics",
+          "per-episode future-task breakdowns",
+          "qualitative examples backed by saved targets"
+        ],
         "one_sample_training_io": {
-          "boundary": "Future labels and future windows must stay out of the input. Structured future probes are evidence for the pipeline, not a full visual world-model claim by themselves.",
+          "boundary": "Future labels and future windows must stay out of the input. Structured future probes show the pipeline, while visual world-model readouts need latent or visual future metrics.",
           "existing_task_hooks": [
             "next_action",
             "long_horizon_next_action",
@@ -4401,10 +4402,6 @@
         "website_image": "assets/foundation-pipelines/human-video-world-model-pipeline.png"
       },
       {
-        "avoid_claiming_now": [
-          "robot policy quality",
-          "policy generalization before action-space evidence exists"
-        ],
         "core_inputs": [
           "egocentric video",
           "language captions",
@@ -4447,7 +4444,7 @@
               "held-out action metrics",
               "chunk and next-action accuracy",
               "object/contact-conditioned scores",
-              "policy card before robot-policy claim"
+              "policy card before robot-policy quality readout"
             ],
             "stage": "evaluate_gates"
           }
@@ -4465,8 +4462,13 @@
           "action-space model card"
         ],
         "next_gate": "Traceable action tokens, normalization, retargeting metadata, and held-out policy metrics.",
+        "next_readout_before_stronger_positioning": [
+          "action-space conversion",
+          "normalized action chunks",
+          "held-out policy metrics"
+        ],
         "one_sample_training_io": {
-          "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy claims require a later action-space converter, normalization, retargeting report, and held-out policy metrics.",
+          "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy readouts require a later action-space converter, normalization, retargeting report, and held-out policy metrics.",
           "existing_task_hooks": [
             "timeline_action",
             "next_action",

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T20:58:21+00:00",
+  "generated_at_utc": "2026-06-22T10:20:29+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-22T08:28:41+00:00",
+  "generated_at_utc": "2026-06-22T10:10:38+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-22T08:57:52+00:00",
+  "generated_at_utc": "2026-06-22T10:10:38+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

data/three_foundation_pipelines.json

@@ -2,7 +2,7 @@
   "title": "Three Foundation Pipeline Tracks",
   "status": "pipeline_plan",
   "source_document": "THREE_FOUNDATION_PIPELINES.md",
-  "claim_boundary": "These are supported pipeline directions, not three completed model-quality claims.",
+  "reader_note": "These are supported pipeline directions with concrete data exports, training recipes, and evaluation gates.",
   "diagram_assets": {
     "status": "published_high_resolution_slide_diagrams",
     "asset_root": "docs/assets/foundation-pipelines",
@@ -13,7 +13,7 @@
     "renderer_script": "scripts/render_foundation_pipeline_diagrams.py",
     "diagram_type": "direction_slide_diagram",
     "source_update": "2026-06-19: clean Spatial intelligence, Human-video world model, and Vision-language-action PNGs are committed as source-slide assets and published as 2560-pixel public images.",
-    "note": "Images are slide-diagram communication assets for pipeline tracks. Technical claims remain governed by the Markdown/JSON contracts and verified metrics."
+    "note": "Images are slide-diagram communication assets for pipeline tracks. Technical readouts remain governed by the Markdown/JSON contracts and verified metrics."
   },
   "shared_principles": [
     "Use episode-level train/validation/test separation.",
@@ -77,7 +77,7 @@
           "object_set_forecast",
           "camera_view_sync_retrieval"
         ],
-        "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; full spatial-intelligence claims require held-out multi-episode depth/pose/scene-memory metrics."
+        "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; the next spatial-intelligence readout is held-out depth, pose, and scene-memory metrics."
       },
       "diagram_flow": [
         {
@@ -113,14 +113,14 @@
             "held-out episode spatial metrics",
             "count and relation accuracy",
             "retrieval rank and consistency",
-            "saved predictions before public claim"
+            "saved predictions before public package update"
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "full neural rendering",
-        "full 3D reconstruction",
-        "general spatial intelligence without artifact-level evidence"
+      "next_readout_before_stronger_positioning": [
+        "held-out spatial QA",
+        "pose consistency",
+        "object-counting and scene-memory metrics"
       ]
     },
     {
@@ -152,7 +152,7 @@
         "contact transition",
         "future-window quality metrics"
       ],
-      "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before claiming world-model quality.",
+      "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before presenting world-model quality.",
       "current_maturity": "Partially evidenced by current future-task probes and Cosmos-style branch artifacts.",
       "next_gate": "Stronger future-state metrics, qualitative future examples, and held-out episode breakdowns.",
       "diagram_image": "docs/assets/foundation-pipelines/human-video-world-model-pipeline.png",
@@ -176,7 +176,7 @@
           "time_to_transition",
           "ego_motion_forecast"
         ],
-        "boundary": "Future labels and future windows must stay out of the input. Structured future probes are evidence for the pipeline, not a full visual world-model claim by themselves."
+        "boundary": "Future labels and future windows must stay out of the input. Structured future probes show the pipeline, while visual world-model readouts need latent or visual future metrics."
       },
       "diagram_flow": [
         {
@@ -216,9 +216,10 @@
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "strong world model from structured future-task scores alone",
-        "visual future quality without visual or latent future metrics"
+      "next_readout_before_stronger_positioning": [
+        "latent or visual future metrics",
+        "per-episode future-task breakdowns",
+        "qualitative examples backed by saved targets"
       ]
     },
     {
@@ -273,7 +274,7 @@
           "interaction_text_prediction",
           "action_object_relation"
         ],
-        "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy claims require a later action-space converter, normalization, retargeting report, and held-out policy metrics."
+        "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy readouts require a later action-space converter, normalization, retargeting report, and held-out policy metrics."
       },
       "diagram_flow": [
         {
@@ -309,13 +310,14 @@
             "held-out action metrics",
             "chunk and next-action accuracy",
             "object/contact-conditioned scores",
-            "policy card before robot-policy claim"
+            "policy card before robot-policy quality readout"
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "robot policy quality",
-        "policy generalization before action-space evidence exists"
+      "next_readout_before_stronger_positioning": [
+        "action-space conversion",
+        "normalized action chunks",
+        "held-out policy metrics"
       ]
     }
   ]

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-22T08:28:41+00:00",
+  "generated_at_utc": "2026-06-22T10:10:38+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-22T08:57:52+00:00",
+  "generated_at_utc": "2026-06-22T10:10:38+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

docs/data/three_foundation_pipelines.json

@@ -2,7 +2,7 @@
   "title": "Three Foundation Pipeline Tracks",
   "status": "pipeline_plan",
   "source_document": "THREE_FOUNDATION_PIPELINES.md",
-  "claim_boundary": "These are supported pipeline directions, not three completed model-quality claims.",
+  "reader_note": "These are supported pipeline directions with concrete data exports, training recipes, and evaluation gates.",
   "diagram_assets": {
     "status": "published_high_resolution_slide_diagrams",
     "asset_root": "docs/assets/foundation-pipelines",
@@ -13,7 +13,7 @@
     "renderer_script": "scripts/render_foundation_pipeline_diagrams.py",
     "diagram_type": "direction_slide_diagram",
     "source_update": "2026-06-19: clean Spatial intelligence, Human-video world model, and Vision-language-action PNGs are committed as source-slide assets and published as 2560-pixel public images.",
-    "note": "Images are slide-diagram communication assets for pipeline tracks. Technical claims remain governed by the Markdown/JSON contracts and verified metrics."
+    "note": "Images are slide-diagram communication assets for pipeline tracks. Technical readouts remain governed by the Markdown/JSON contracts and verified metrics."
   },
   "shared_principles": [
     "Use episode-level train/validation/test separation.",
@@ -77,7 +77,7 @@
           "object_set_forecast",
           "camera_view_sync_retrieval"
         ],
-        "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; full spatial-intelligence claims require held-out multi-episode depth/pose/scene-memory metrics."
+        "boundary": "This yields a one-episode spatial training-pair recipe and proxy tasks; the next spatial-intelligence readout is held-out depth, pose, and scene-memory metrics."
       },
       "diagram_flow": [
         {
@@ -113,14 +113,14 @@
             "held-out episode spatial metrics",
             "count and relation accuracy",
             "retrieval rank and consistency",
-            "saved predictions before public claim"
+            "saved predictions before public package update"
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "full neural rendering",
-        "full 3D reconstruction",
-        "general spatial intelligence without artifact-level evidence"
+      "next_readout_before_stronger_positioning": [
+        "held-out spatial QA",
+        "pose consistency",
+        "object-counting and scene-memory metrics"
       ]
     },
     {
@@ -152,7 +152,7 @@
         "contact transition",
         "future-window quality metrics"
       ],
-      "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before claiming world-model quality.",
+      "first_pipeline": "Keep Qwen-style structured future probes for task interpretability, keep Cosmos-style dynamics branches separate, and add latent or feature-reconstruction metrics before presenting world-model quality.",
       "current_maturity": "Partially evidenced by current future-task probes and Cosmos-style branch artifacts.",
       "next_gate": "Stronger future-state metrics, qualitative future examples, and held-out episode breakdowns.",
       "diagram_image": "docs/assets/foundation-pipelines/human-video-world-model-pipeline.png",
@@ -176,7 +176,7 @@
           "time_to_transition",
           "ego_motion_forecast"
         ],
-        "boundary": "Future labels and future windows must stay out of the input. Structured future probes are evidence for the pipeline, not a full visual world-model claim by themselves."
+        "boundary": "Future labels and future windows must stay out of the input. Structured future probes show the pipeline, while visual world-model readouts need latent or visual future metrics."
       },
       "diagram_flow": [
         {
@@ -216,9 +216,10 @@
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "strong world model from structured future-task scores alone",
-        "visual future quality without visual or latent future metrics"
+      "next_readout_before_stronger_positioning": [
+        "latent or visual future metrics",
+        "per-episode future-task breakdowns",
+        "qualitative examples backed by saved targets"
       ]
     },
     {
@@ -273,7 +274,7 @@
           "interaction_text_prediction",
           "action_object_relation"
         ],
-        "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy claims require a later action-space converter, normalization, retargeting report, and held-out policy metrics."
+        "boundary": "This is a VLA/policy data-conversion recipe for the one-sample suite. Robot policy readouts require a later action-space converter, normalization, retargeting report, and held-out policy metrics."
       },
       "diagram_flow": [
         {
@@ -309,13 +310,14 @@
             "held-out action metrics",
             "chunk and next-action accuracy",
             "object/contact-conditioned scores",
-            "policy card before robot-policy claim"
+            "policy card before robot-policy quality readout"
           ]
         }
       ],
-      "avoid_claiming_now": [
-        "robot policy quality",
-        "policy generalization before action-space evidence exists"
+      "next_readout_before_stronger_positioning": [
+        "action-space conversion",
+        "normalized action chunks",
+        "held-out policy metrics"
       ]
     }
   ]

docs/data/two_evidence_line_result_summary.json

@@ -1,6 +1,6 @@
 {
-  "generated_at_utc": "2026-06-21T11:49:06+00:00",
-  "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
+  "generated_at_utc": "2026-06-22T09:56:30+00:00",
+  "interpretation_rule": "Read the 1-episode line as the inspectable task lab. Read the 128-episode line as the selected comparison surface for metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super, and Cosmos3-Nano.",
   "lines": [
     {
       "artifact_entry_points": [
@@ -10,7 +10,7 @@
         "results/episode_task_suite/feature_manifest.json",
         "docs/single_episode_explorer.html"
       ],
-      "claim_boundary": "Supports task construction, file inspection, local reproducibility, and controlled single-episode baseline claims.",
+      "best_read_as": "Inspect the raw sample, understand file organization, reproduce the 20 task targets, and compare Minimal vs Neural MLP behavior inside one episode.",
       "data_unit": "One public Xperience-10M sample episode",
       "direct_scored_method_task_count": 40,
       "id": "single_public_sample_episode",
@@ -45,13 +45,13 @@
           }
         }
       ],
-      "not_for": "Do not use this line as evidence of multi-episode generalization.",
       "primary_use": "Inspect raw files, understand each task, rerun local baselines, and debug task quality.",
       "primary_visuals": [
         "docs/assets/charts/two_evidence_line_map.svg",
         "docs/assets/charts/single_episode_task_model_radar.svg"
       ],
       "proxy_scored_method_task_count": 0,
+      "read_separately_from": "The selected-128 comparison rows and broader held-out model behavior.",
       "result_statement": "40/40 direct scores from Minimal and Neural MLP heads on the same 20 task contracts.",
       "scored_method_task_count": 40,
       "short_label": "Line 1",
@@ -66,7 +66,7 @@
         "docs/data/qwen3_omni_run_lineage.json",
         "docs/data/task_method_20_gap_audit.json"
       ],
-      "claim_boundary": "Supports same-split metadata/raw baseline comparison, Qwen3-Omni v6 diagnostics, Cosmos3 diagnostics, and scale-up planning on public-safe processed artifacts.",
+      "best_read_as": "Compare same-split metadata/raw baselines, Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano while keeping the 6 compact-proxy cells visible.",
       "data_unit": "Selected held-out 96/16/16 split with public-safe processed features linked to official gated episode paths",
       "direct_scored_method_task_count": 134,
       "id": "selected_128_episode_surface",
@@ -170,7 +170,6 @@
           }
         }
       ],
-      "not_for": "Do not read compact-proxy cells as direct raw-target measurements.",
       "primary_use": "Compare same-split metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window while keeping evidence type explicit.",
       "primary_visuals": [
         "docs/assets/charts/two_evidence_line_map.svg",
@@ -178,6 +177,7 @@
         "docs/assets/charts/unified_task_model_radar.svg"
       ],
       "proxy_scored_method_task_count": 6,
+      "read_separately_from": "Direct raw-target interpretation for the proxy-marked cells.",
       "result_statement": "140/140 selected-128 scores across seven methods: 134 direct scores plus 6 documented compact-proxy scores.",
       "scored_method_task_count": 140,
       "short_label": "Line 2",
@@ -337,7 +337,7 @@
     "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.",
     "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior."
   },
-  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "reader_summary": "The suite has two public reading lanes. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Compare scores within the same lane first.",
   "reading_order": [
     {
       "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",

docs/data/two_evidence_lines.json

@@ -1,8 +1,8 @@
 {
   "status": "current",
   "updated_utc": "2026-06-21T00:00:00Z",
-  "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
-  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
+  "interpretation_rule": "Read the 1-episode line as the inspectable task lab. Read the 128-episode line as the selected comparison surface for metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super, and Cosmos3-Nano.",
+  "reader_summary": "The suite has two public reading lanes. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Compare scores within the same lane first.",
   "score_formula": "2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.",
   "lines": [
     {
@@ -11,8 +11,8 @@
       "short_label": "Line 1",
       "data_unit": "One public Xperience-10M sample episode",
       "result_statement": "40/40 direct scores from Minimal and Neural MLP heads on the same 20 task contracts.",
-      "claim_boundary": "Supports task construction, file inspection, local reproducibility, and controlled single-episode baseline claims.",
-      "not_for": "Do not use this line as evidence of multi-episode generalization.",
+      "best_read_as": "Inspect the raw sample, understand file organization, reproduce the 20 task targets, and compare Minimal vs Neural MLP behavior inside one episode.",
+      "read_separately_from": "The selected-128 comparison rows and broader held-out model behavior.",
       "frames": 5821,
       "windows": 1161,
       "window_definition": "20-frame aligned windows with 5-frame stride",
@@ -45,8 +45,8 @@
       "short_label": "Line 2",
       "data_unit": "Selected held-out 96/16/16 split with public-safe processed features linked to official gated episode paths",
       "result_statement": "140/140 selected-128 scores across seven methods: 134 direct scores plus 6 documented compact-proxy scores.",
-      "claim_boundary": "Supports same-split metadata/raw baseline comparison, Qwen3-Omni v6 diagnostics, Cosmos3 diagnostics, and scale-up planning on public-safe processed artifacts.",
-      "not_for": "Do not read compact-proxy cells as direct raw-target measurements.",
+      "best_read_as": "Compare same-split metadata/raw baselines, Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano while keeping the 6 compact-proxy cells visible.",
+      "read_separately_from": "Direct raw-target interpretation for the proxy-marked cells.",
       "episodes": 128,
       "split": {
         "train": 96,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-22T08:57:54+00:00",
+  "generated_at_utc": "2026-06-22T10:09:34+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -80,8 +80,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 151055,
-      "evidence_index": 202390
+      "overview_index": 151125,
+      "evidence_index": 202548
     },
     {
       "name": "project_status_links_json",
@@ -159,9 +159,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 151055,
-      "protocol_index": 198578,
-      "evidence_index": 202390
+      "overview_index": 151125,
+      "protocol_index": 198738,
+      "evidence_index": 202548
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -315,7 +315,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 124471,
+      "bytes": 124475,
       "top_level_type": "dict"
     },
     {
@@ -335,7 +335,7 @@
     },
     {
       "path": "data/evaluation_protocol.json",
-      "bytes": 24267,
+      "bytes": 24281,
       "top_level_type": "dict"
     },
     {
@@ -350,12 +350,12 @@
     },
     {
       "path": "data/foundation_model_plan.json",
-      "bytes": 13925,
+      "bytes": 13918,
       "top_level_type": "dict"
     },
     {
       "path": "data/glossary.json",
-      "bytes": 18754,
+      "bytes": 18767,
       "top_level_type": "dict"
     },
     {
@@ -470,12 +470,12 @@
     },
     {
       "path": "data/research_roadmap.json",
-      "bytes": 14129,
+      "bytes": 14143,
       "top_level_type": "dict"
     },
     {
       "path": "data/research_roadmap_interactive.json",
-      "bytes": 191028,
+      "bytes": 191136,
       "top_level_type": "dict"
     },
     {
@@ -550,7 +550,7 @@
     },
     {
       "path": "data/three_foundation_pipelines.json",
-      "bytes": 14465,
+      "bytes": 14557,
       "top_level_type": "dict"
     },
     {
@@ -560,12 +560,12 @@
     },
     {
       "path": "data/two_evidence_line_result_summary.json",
-      "bytes": 17416,
+      "bytes": 17451,
       "top_level_type": "dict"
     },
     {
       "path": "data/two_evidence_lines.json",
-      "bytes": 7351,
+      "bytes": 7386,
       "top_level_type": "dict"
     },
     {
@@ -788,140 +788,140 @@
     {
       "path": "assets/task-icons/01_timeline_action.svg",
       "exists": true,
-      "bytes": 1486,
+      "bytes": 1481,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/02_timeline_subtask.svg",
       "exists": true,
-      "bytes": 1513,
+      "bytes": 1508,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/03_transition_detection.svg",
       "exists": true,
-      "bytes": 1531,
+      "bytes": 1526,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/04_next_action.svg",
       "exists": true,
-      "bytes": 1484,
+      "bytes": 1479,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/05_hand_trajectory_forecast.svg",
       "exists": true,
-      "bytes": 1552,
+      "bytes": 1547,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/06_contact_prediction.svg",
       "exists": true,
-      "bytes": 1540,
+      "bytes": 1535,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/07_object_relevance.svg",
       "exists": true,
-      "bytes": 1623,
+      "bytes": 1618,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/08_caption_grounding.svg",
       "exists": true,
-      "bytes": 1503,
+      "bytes": 1498,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/09_cross_modal_retrieval.svg",
       "exists": true,
-      "bytes": 1607,
+      "bytes": 1602,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/10_modality_reconstruction.svg",
       "exists": true,
-      "bytes": 1587,
+      "bytes": 1582,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/11_temporal_order.svg",
       "exists": true,
-      "bytes": 1543,
+      "bytes": 1538,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/12_misalignment_detection.svg",
       "exists": true,
-      "bytes": 1582,
+      "bytes": 1577,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/13_long_horizon_next_action.svg",
       "exists": true,
-      "bytes": 1595,
+      "bytes": 1590,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/14_next_subtask_forecast.svg",
       "exists": true,
-      "bytes": 1625,
+      "bytes": 1620,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/15_interaction_text_prediction.svg",
       "exists": true,
-      "bytes": 1578,
+      "bytes": 1573,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/16_action_object_relation.svg",
       "exists": true,
-      "bytes": 1574,
+      "bytes": 1569,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/17_object_set_forecast.svg",
       "exists": true,
-      "bytes": 1688,
+      "bytes": 1683,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/18_imu_to_hand_pose.svg",
       "exists": true,
-      "bytes": 1566,
+      "bytes": 1561,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/19_camera_view_sync_retrieval.svg",
       "exists": true,
-      "bytes": 1645,
+      "bytes": 1640,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task-icons/20_time_to_transition.svg",
       "exists": true,
-      "bytes": 1526,
+      "bytes": 1521,
       "format": "SVG",
       "has_viewbox": true
     },