Add files using upload-large-folder tool

docs/data/artifact_index.json

@@ -1,8 +1,8 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-20T21:45:18+00:00",
+  "generated_at_utc": "2026-06-21T08:41:38+00:00",
   "status": "pass",
-  "artifact_count": 225,
+  "artifact_count": 226,
   "missing": [],
   "by_kind": {
     "project_path": 18,
@@ -16,7 +16,7 @@
     "source_alignment": 5,
     "evaluation_protocol": 9,
     "website_data": 11,
-    "generated_figure": 7,
+    "generated_figure": 8,
     "visualization_builder": 1,
     "model_result": 5,
     "result_interpretation": 5,
@@ -610,7 +610,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "a9a554c87ed0135db7ddf428d216488f37791002b699ffe01f1624bf00bee489"
+      "sha256": "7e921c5225389e3481f6133e6c3a1afb7f7f79ea5cdc4638ed3d1bfde48c63cf"
     },
     {
       "id": "source_alignment_validator",
@@ -730,8 +730,8 @@
       "surface": "website_hf",
       "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, proxy flags, and source artifacts.",
       "exists": true,
-      "bytes": 228799,
-      "sha256": "c9c708f64963dac10e764eaae8e1b14c7161a938afa5ef5723fe59dc4ce764af"
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+      "sha256": "e947ff0579014d5f2c928f689077958d94304a3ac9d978d8475ce5b799e03df8"
     },
     {
       "id": "single_episode_task_model_radar_json",
@@ -742,7 +742,7 @@
       "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
       "exists": true,
       "bytes": 51097,
-      "sha256": "d5e882120633f4d3ae90f1491682701c7593a42fc09e39b83fc5f375258e76e7"
+      "sha256": "f4975e8a1d02dd3a168660827fc92257257d18107887abc83ca225950fb283d7"
     },
     {
       "id": "episode128_task_model_radar_json",
@@ -753,7 +753,7 @@
       "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, now complete at 140/140 scored rows with proxy notes retained.",
       "exists": true,
       "bytes": 184945,
-      "sha256": "8d4ef9c4cf1cf334fd41417d40fa0687ceefa964da9f8338c82f8cc6d36a3e76"
+      "sha256": "36d500a4f64614a88ed80af88594289adf06753ea85a2273b9bdaf6cb8ca7f44"
     },
     {
       "id": "task_method_20_result_matrix_json",
@@ -764,7 +764,7 @@
       "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and the current release is complete at 180/180 scored rows.",
       "exists": true,
       "bytes": 128509,
-      "sha256": "382e538dff284c5e2cf19fe2b3eb014d1b48fb33082bb2ece532ce3de6c1e9bb"
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     },
     {
       "id": "task_method_20_result_matrix",
@@ -786,7 +786,7 @@
       "shows": "Machine-readable 180-record completion ledger with numeric scores, proxy flags, explicit status reasons, and source artifacts.",
       "exists": true,
       "bytes": 8500,
-      "sha256": "9cfd2ce8c4eb3bbe7e2af3f41df3b3ab74db9db08d9ea2e4f569f612358470dd"
+      "sha256": "5743354519dfae924d973ffca90a5d1ef4b0c316cf201b3ac443f6b5d4600de5"
     },
     {
       "id": "task_method_20_gap_audit",
@@ -797,7 +797,7 @@
       "shows": "Reader-facing ledger confirming 180/180 scored method-task cells and listing the six compact-proxy records separately.",
       "exists": true,
       "bytes": 3417,
-      "sha256": "3afc5db9803b6419ce4f40d6fb0dd5380ae182fb85b4f7b0f6ea6a46ae065c63"
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     },
     {
       "id": "task_method_20_source_audit_json",
@@ -808,7 +808,7 @@
       "shows": "Machine-readable check that scored JSON-backed matrix cells match their declared metric source values.",
       "exists": true,
       "bytes": 561,
-      "sha256": "c3fd20cf992b70b53063001a8e71556c6f3aa320066d4f67a82554d192a87d88"
+      "sha256": "a2c684b7c6a60dc5868b796eec41adbc3a1eb37235d357271f3171b20f85c28f"
     },
     {
       "id": "task_method_20_source_audit",
@@ -819,7 +819,18 @@
       "shows": "Reader-facing source-value audit for the 180-result matrix.",
       "exists": true,
       "bytes": 447,
-      "sha256": "d21dcf00117db5f3466c981259f2c073f026bcde88b636d7ad0a43b6157a90a2"
+      "sha256": "0b1bc352200143957a177947b197cab6ee46602cda338b94bfc81922568ee9ea"
+    },
+    {
+      "id": "two_evidence_line_map_chart",
+      "title": "Two evidence-line map",
+      "path": "docs/assets/charts/two_evidence_line_map.svg",
+      "kind": "generated_figure",
+      "surface": "website_hf",
+      "shows": "Explains the public result organization: one sample-episode task-lab line, one selected-128 comparison line, and the combined 180/180 scored method-task ledger.",
+      "exists": true,
+      "bytes": 5323,
+      "sha256": "bd4161cc259b263a8858c8f77ecc2fe12c77526ac6896a9fabf26077b950f659"
     },
     {
       "id": "unified_task_model_radar_chart",
@@ -829,8 +840,8 @@
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
       "exists": true,
-      "bytes": 57937,
-      "sha256": "6d6fd9f83401ae49494560c27a0e3c5af0f350b4e74c4b1dc91326dae7ef1d47"
+      "bytes": 57938,
+      "sha256": "bb83b80b47fe679ebdce2c99378a4548120f1c8cc2d725b88e409d8c386dcbf8"
     },
     {
       "id": "single_episode_task_model_radar_chart",
@@ -840,8 +851,8 @@
       "surface": "website_hf",
       "shows": "Separates the one-episode Minimal and Neural MLP 20/20 scored baselines into a clean two-polygon radar.",
       "exists": true,
-      "bytes": 35232,
-      "sha256": "81fbda592ae9a79e80c50ff787b405899fec8c249f2def6bf67b6bff132cdc92"
+      "bytes": 35230,
+      "sha256": "e5516268336fd7289f38c0b80937d40080f3b1c804e82a409405d60e6eab03b0"
     },
     {
       "id": "episode128_task_model_radar_chart",
@@ -851,8 +862,8 @@
       "surface": "website_hf",
       "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
       "exists": true,
-      "bytes": 51907,
-      "sha256": "9be33ccc103317e7e053b1d135b61e69a875c5404413e7caf428c83c605721d6"
+      "bytes": 51905,
+      "sha256": "03e78b45fc91bab4c88e54bd0c3dc03afda4d55ef1f96569d7aedb2506d99065"
     },
     {
       "id": "unified_task_model_radar_builder",
@@ -862,8 +873,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 68542,
-      "sha256": "470b4c8acc437114b51d96987cd6324b9bf1d2ca16e9721d7fb00708aa58b383"
+      "bytes": 68555,
+      "sha256": "e7cf9d1d3e25117ccd0a2b93c69850d4201cd34bda97bf294fb3b037fc1aa351"
     },
     {
       "id": "task_method_20_gap_audit_builder",
@@ -1149,7 +1160,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8640,
-      "sha256": "02b9408ac096e7444ff54ea69f478dac31c14c644d42a73f3f297bed89e034e7"
+      "sha256": "1046f75bd4529244290822c67fde137ae1465a3b65e6308b75acb856e4bee191"
     },
     {
       "id": "public_surface_qa",
@@ -1193,7 +1204,7 @@
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 7208,
+      "bytes": 7363,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1204,8 +1215,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the public presentation report before release.",
       "exists": true,
-      "bytes": 14863,
-      "sha256": "a0f7ff659de9f7c46c65f859c0c7595a5e42c54007858c21b89b13ef670c79f3"
+      "bytes": 15008,
+      "sha256": "324a7332481f8065c7942659307994429f505d2ffd4a1c8169891ec017be68c2"
     },
     {
       "id": "task_surface_integrity",
@@ -1274,7 +1285,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 184670,
+      "bytes": 184684,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1318,8 +1329,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 67105,
-      "sha256": "8fc1a2b5d4a50d49ff5738ec1e5e91088dbfa514c9f0485d3afe708add6d94a1"
+      "bytes": 67519,
+      "sha256": "eae86845582f2551782fa7a81837bc3b30d67a050aced1a5f5158644ea0e6512"
     },
     {
       "id": "publication_audit",
@@ -1330,7 +1341,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 10662,
+      "bytes": 10877,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1354,7 +1365,7 @@
       "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": 1407249,
+      "bytes": 1413010,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1366,7 +1377,7 @@
       "volatile": true,
       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 20141,
+      "bytes": 20542,
       "hash_policy": "existence_and_size_only"
     },
     {

docs/data/episode128_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T20:38:21+00:00",
+  "generated_at_utc": "2026-06-21T08:37:32+00:00",
   "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
   "task_count": 20,
   "method_count": 7,

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:13:59+00:00",
+  "generated_at_utc": "2026-06-21T08:41:37+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": "2026-06-21T08:12:52+00:00"
+          "generated_at_utc": "2026-06-21T08:38:53+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T07:37:47+00:00"
+          "generated_at_utc": "2026-06-21T08:38:50+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T07:38:04+00:00"
+          "generated_at_utc": "2026-06-21T08:38:50+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T07:37:51+00:00"
+          "generated_at_utc": "2026-06-21T08:38:55+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T07:43:11+00:00"
+          "generated_at_utc": "2026-06-21T08:41:14+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-21T07:43:36+00:00"
+          "generated_at_utc": "2026-06-21T08:41:09+00:00"
         }
       },
       "failures": {}
@@ -95,10 +95,10 @@
       "status": "pass",
       "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": 19,
-        "Xperience-10M": 169,
-        "20-task": 72,
-        "Qwen3-Omni": 159,
+        "Ropedia Xperience-10M Task Suite": 20,
+        "Xperience-10M": 166,
+        "20-task": 71,
+        "Qwen3-Omni": 154,
         "128-episode pilot": 1
       }
     },
@@ -132,12 +132,15 @@
         "data/research_roadmap.json": 15,
         "data/task_suite_enhancement_128.json": 22,
         "data/task_suite_20.json": 34,
+        "data/two_evidence_lines.json": 5,
+        "data/two_evidence_line_result_summary.json": 10,
         "data/unified_task_model_radar.json": 21,
         "data/single_episode_task_model_radar.json": 16,
         "data/episode128_task_model_radar.json": 16,
         "data/task_method_20_result_matrix.json": 24,
         "data/task_method_20_gap_audit.json": 21,
         "data/language_versions.json": 3,
+        "assets/charts/two_evidence_line_map.svg": 5,
         "assets/charts/unified_task_model_radar.svg": 17,
         "assets/charts/single_episode_task_model_radar.svg": 19,
         "assets/charts/episode128_task_model_radar.svg": 19,

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:15:07+00:00",
+  "generated_at_utc": "2026-06-21T08:46:15+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -128,6 +128,7 @@
     "docs/assets/brand/xperience10m-logo-mark-512.png": true,
     "docs/assets/brand/xperience10m-logo-social-card.png": true,
     "docs/assets/task_suite_infographic.png": true,
+    "docs/assets/charts/two_evidence_line_map.svg": true,
     "docs/assets/charts/unified_task_model_radar.svg": true,
     "docs/assets/charts/single_episode_task_model_radar.svg": true,
     "docs/assets/charts/episode128_task_model_radar.svg": true,
@@ -232,8 +233,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1518,
-      "text_file_count": 1257,
+      "file_count": 1519,
+      "text_file_count": 1258,
       "largest_file": {
         "path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/confusion_matrix.csv",
         "bytes": 73057076
@@ -254,7 +255,7 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 4489,
+      "file_count": 3037,
       "text_file_count": 1277,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
@@ -265,7 +266,7 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 5244,
+      "file_count": 3519,
       "text_file_count": 1448,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:13:59+00:00",
+  "generated_at_utc": "2026-06-21T08:38:50+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": [
     {

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:14:02+00:00",
+  "generated_at_utc": "2026-06-21T08:38:55+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/single_episode_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Single-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T20:38:21+00:00",
+  "generated_at_utc": "2026-06-21T08:37:32+00:00",
   "description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
   "task_count": 20,
   "method_count": 2,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:14:17+00:00",
+  "generated_at_utc": "2026-06-21T08:38:50+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_method_20_gap_audit.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-21T07:36:39+00:00",
+  "generated_at_utc": "2026-06-21T08:38:20+00:00",
   "immediate_actions": [
     {
       "artifact": "docs/data/task_method_20_gap_audit.json",

docs/data/task_method_20_result_matrix.json

@@ -1,7 +1,7 @@
 {
   "title": "Task Method 20-Result Matrix",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T20:38:21+00:00",
+  "generated_at_utc": "2026-06-21T08:37:32+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,

docs/data/task_method_20_source_audit.json

@@ -2,7 +2,7 @@
   "checked_json_metric_count": 180,
   "failure_count": 0,
   "failures": [],
-  "generated_at_utc": "2026-06-20T20:48:41+00:00",
+  "generated_at_utc": "2026-06-21T08:39:17+00:00",
   "method_task_record_count": 180,
   "rule": "Every scored row that declares a JSON metric source must have the same numeric value under that row's metric_key.",
   "scored_method_task_count": 180,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:13:59+00:00",
+  "generated_at_utc": "2026-06-21T08:38:50+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

docs/data/two_evidence_line_result_summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-21T07:36:39+00:00",
+  "generated_at_utc": "2026-06-21T08:38:20+00:00",
   "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for held-out comparison and model-branch claims.",
   "lines": [
     {
@@ -10,6 +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.",
       "data_unit": "One public Xperience-10M sample episode",
       "direct_scored_method_task_count": 40,
       "id": "single_public_sample_episode",
@@ -44,9 +45,16 @@
           }
         }
       ],
+      "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,
+      "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",
       "task_count": 20
     },
     {
@@ -57,6 +65,7 @@
         "docs/data/omni_model_comparison.json",
         "docs/data/task_method_20_gap_audit.json"
       ],
+      "claim_boundary": "Supports same-split comparison, model-branch diagnostics, and scale-up planning on public-safe processed artifacts.",
       "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",
@@ -160,9 +169,17 @@
           }
         }
       ],
+      "not_for": "Do not read compact-proxy cells as direct raw-target measurements.",
       "primary_use": "Compare same-split baselines and model branches while keeping evidence type explicit.",
+      "primary_visuals": [
+        "docs/assets/charts/two_evidence_line_map.svg",
+        "docs/assets/charts/episode128_task_model_radar.svg",
+        "docs/assets/charts/unified_task_model_radar.svg"
+      ],
       "proxy_scored_method_task_count": 6,
+      "result_statement": "140/140 selected-128 scores across seven method branches: 134 direct scores plus 6 documented compact-proxy scores.",
       "scored_method_task_count": 140,
+      "short_label": "Line 2",
       "task_count": 20
     }
   ],
@@ -239,6 +256,26 @@
     "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3/Cosmos branches, 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 result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, Qwen3-Omni, and Cosmos branches. Do not mix the two when reading scores.",
+  "reading_order": [
+    {
+      "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",
+      "step": "Choose the evidence line"
+    },
+    {
+      "reason": "Use the 1-episode radar for Minimal-vs-Neural behavior and the 128-episode radar for baseline/model-branch comparison.",
+      "step": "Open the matching radar"
+    },
+    {
+      "reason": "Every numeric score is tied to a method, task, metric key, source artifact, and proxy flag.",
+      "step": "Inspect the matrix row"
+    },
+    {
+      "reason": "The six compact-proxy cells are numeric but are not direct raw-target measurements.",
+      "step": "Check proxy cells before interpreting totals"
+    }
+  ],
+  "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.",
   "source_lines": "docs/data/two_evidence_lines.json",
   "source_matrix": "docs/data/task_method_20_result_matrix.json",
   "status": "pass",

docs/data/two_evidence_lines.json

@@ -2,11 +2,17 @@
   "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 held-out comparison and model-branch claims.",
+  "reader_summary": "The suite has two public result lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, Qwen3-Omni, and Cosmos branches. Do not mix the two when reading scores.",
+  "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": [
     {
       "id": "single_public_sample_episode",
       "label": "1 sample episode",
+      "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.",
       "frames": 5821,
       "windows": 1161,
       "window_definition": "20-frame aligned windows with 5-frame stride",
@@ -21,6 +27,10 @@
       "direct_scored_records": 40,
       "proxy_scored_records": 0,
       "best_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"
+      ],
       "primary_artifacts": [
         "docs/data/single_episode_task_model_radar.json",
         "docs/data/two_evidence_line_result_summary.json",
@@ -32,7 +42,11 @@
     {
       "id": "selected_128_episode_surface",
       "label": "128 selected episodes",
+      "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 method branches: 134 direct scores plus 6 documented compact-proxy scores.",
+      "claim_boundary": "Supports same-split comparison, model-branch diagnostics, and scale-up planning on public-safe processed artifacts.",
+      "not_for": "Do not read compact-proxy cells as direct raw-target measurements.",
       "episodes": 128,
       "split": {
         "train": 96,
@@ -56,6 +70,11 @@
       "proxy_scored_records": 6,
       "proxy_policy": "Proxy flags remain visible where the public export lacks a direct raw target.",
       "best_use": "Compare same-split baselines and model branches while keeping evidence type explicit.",
+      "primary_visuals": [
+        "docs/assets/charts/two_evidence_line_map.svg",
+        "docs/assets/charts/episode128_task_model_radar.svg",
+        "docs/assets/charts/unified_task_model_radar.svg"
+      ],
       "primary_artifacts": [
         "docs/data/episode128_task_model_radar.json",
         "docs/data/two_evidence_line_result_summary.json",

docs/data/unified_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-20T20:38:21+00:00",
+  "generated_at_utc": "2026-06-21T08:37:32+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
@@ -2471,7 +2471,7 @@
       "id": "raw128_simple",
       "title": "128ep Raw Simple",
       "status": "a100_raw20_complete_with_documented_proxies",
-      "coverage": "20 records / 20 scored axes; 18 direct + 2 proxy",
+      "coverage": "20 records / 20 scored records; 18 direct + 2 proxy",
       "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor blocks",
       "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },
@@ -2479,7 +2479,7 @@
       "id": "raw128_neural_mlp",
       "title": "128ep Raw NN",
       "status": "a100_raw20_complete_with_documented_proxies",
-      "coverage": "20 records / 20 scored axes; 18 direct + 2 proxy",
+      "coverage": "20 records / 20 scored records; 18 direct + 2 proxy",
       "headline": "MLP heads over staged features; tasks 15/19 use compact proxies",
       "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
     },

docs/data/website_integrity.json

@@ -1,14 +1,14 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T08:12:52+00:00",
+  "generated_at_utc": "2026-06-21T08:45:59+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
-    "local_references": 240,
+    "local_references": 241,
     "external_reference_count": 152,
     "json_files": 53,
-    "image_assets_referenced": 28,
+    "image_assets_referenced": 29,
     "failure_count": 0
   },
   "failures": {
@@ -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": 112836,
-      "evidence_index": 152914
+      "overview_index": 115050,
+      "evidence_index": 155360
     },
     {
       "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": 112836,
-      "protocol_index": 149095,
-      "evidence_index": 152914
+      "overview_index": 115050,
+      "protocol_index": 151541,
+      "evidence_index": 155360
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -277,8 +277,8 @@
     {
       "path": "index.html",
       "id_count": 95,
-      "reference_count": 212,
-      "image_count": 34
+      "reference_count": 213,
+      "image_count": 35
     },
     {
       "path": "research_roadmap.html",
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 122823,
+      "bytes": 123351,
       "top_level_type": "dict"
     },
     {
@@ -396,12 +396,12 @@
     },
     {
       "path": "data/public_surface_qa.json",
-      "bytes": 7208,
+      "bytes": 7363,
       "top_level_type": "dict"
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 10819,
+      "bytes": 10877,
       "top_level_type": "dict"
     },
     {
@@ -531,22 +531,22 @@
     },
     {
       "path": "data/two_evidence_line_result_summary.json",
-      "bytes": 11383,
+      "bytes": 13689,
       "top_level_type": "dict"
     },
     {
       "path": "data/two_evidence_lines.json",
-      "bytes": 2816,
+      "bytes": 4388,
       "top_level_type": "dict"
     },
     {
       "path": "data/unified_task_model_radar.json",
-      "bytes": 228799,
+      "bytes": 228805,
       "top_level_type": "dict"
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 20380,
+      "bytes": 20542,
       "top_level_type": "dict"
     },
     {
@@ -586,7 +586,7 @@
     {
       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 51907,
+      "bytes": 51905,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -642,7 +642,7 @@
     {
       "path": "assets/charts/single_episode_task_model_radar.svg",
       "exists": true,
-      "bytes": 35232,
+      "bytes": 35230,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -653,10 +653,17 @@
       "format": "SVG",
       "has_viewbox": true
     },
+    {
+      "path": "assets/charts/two_evidence_line_map.svg",
+      "exists": true,
+      "bytes": 5323,
+      "format": "SVG",
+      "has_viewbox": true
+    },
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 57937,
+      "bytes": 57938,
       "format": "SVG",
       "has_viewbox": true
     },