Add files using upload-large-folder tool

assets/charts/task_direction_pipeline_relationship.prompt.md

@@ -1,42 +1,72 @@
 # Task-Direction-Pipeline Relationship Map
 
-Generated with ChatGPT image for the public website relationship block.
+Generated as a public infographic asset for the website relationship block.
 
 ## Public Asset
 
 - `docs/assets/charts/task_direction_pipeline_relationship.png`
 
-## Prompt
-
-Use case: infographic diagram for a research project website. Create a polished
-16:9 dark Ropedia-style relationship-map image with deep black background,
-neon lime and cyan accents, high contrast, no text, no letters, no numerals, no
-logos, no watermarks.
-
-Composition must be mathematically clear:
-
-- Left: exactly 20 square task tiles, arranged as a clean 4 columns by 5 rows
-  grid. No extra task tiles, no partial tiles, no hidden tiles. Each tile
-  contains a simple abstract icon for embodied AI tasks such as action, hand
-  motion, object, language, retrieval, reconstruction, temporal order, sync,
-  forecast, IMU, camera view, transition.
-- Center: exactly 4 large translucent grouped sectors or rounded panels,
-  stacked vertically or fanned slightly, representing four research directions.
-  Use four visually distinct but harmonious neon accents. No labels.
-- Right: exactly 3 vertical foundation-pipeline columns, equally spaced, each
-  built from stacked model/data blocks with upward light beams, representing
-  three training pipelines. No extra columns.
-- Connect the 20 task grid to the 4 center groups with thin luminous lines,
-  then connect the 4 groups to the 3 right pipeline columns with clean arrows.
-
-The visual should be easy to understand at webpage size, modern, elegant,
-scientific, and consistent with a black/neon-lime Ropedia website. Avoid tiny
-decorative clutter. Ensure the exact structure 20 -> 4 -> 3 is visually obvious
-without relying on text.
+## Generation Prompt
+
+Use case: infographic-diagram.
+
+Asset type: high-resolution website figure for Ropedia Xperience-10M.
+
+Primary request: generate a polished, readable, dark neon Ropedia-style
+infographic that clearly explains the current expandable structure:
+20 task contracts -> 4 research directions -> 3 foundation training pipelines.
+
+Critical text accuracy and layout:
+
+- Make the numbers 20, 4, and 3 unmistakable. Use large section headings:
+  `20 TASKS`, `4 RESEARCH DIRECTIONS`, `3 FOUNDATION PIPELINES`.
+- Add the subtitle: `Current public release, open to expand`.
+- Left side: exactly twenty task tiles in a 5 x 4 grid. Use large numbers
+  `01` through `20` plus simple icons. Keep task labels short and readable:
+  Action, Step, Boundary, Next Action, Hand Path, Contact, Object, Grounding,
+  Retrieval, Reconstruct, Order, Sync, Horizon, Subtask, Text, Relation,
+  Object Set, IMU Pose, View Sync, Time.
+- Middle: exactly four large direction panels labeled A, B, C, D. Use these
+  direction names:
+  - A. Human Modeling & Motion Understanding
+  - B. 3D/4D Reconstruction & Neural Rendering
+  - C. Egocentric Vision & Interaction
+  - D. Scene Reconstruction & World Modeling
+- Under each direction, include one concise focus line:
+  - A: pose, hand/body motion, human-object interaction
+  - B: multi-view 3D/4D reconstruction, NeRF/GS, novel views
+  - C: egocentric actions, intention, objects, language
+  - D: scene graphs, spatial reasoning, future world state
+- Right side: exactly three foundation pipeline cards:
+  - 1 Spatial Intelligence
+  - 2 Human-Video World Model
+  - 3 Vision-Language-Action
+- Each pipeline card shows inputs -> targets:
+  - Spatial Intelligence: RGB + depth + pose -> 3D geometry + spatial reasoning
+  - Human-Video World Model: video + action + motion -> future frame + future action
+  - Vision-Language-Action: video + language + motion -> robot action chunk
+- Draw clean arrows from the 20-task grid into the 4 direction panels, then
+  arrows into the 3 pipeline cards.
+- Add a footer line: `Tasks, directions, and pipelines can expand as new evidence is added.`
+
+Visual style:
+
+- Deep black background, neon lime as primary, cyan/blue/violet accents,
+  consistent with the Ropedia visual style.
+- Clean scientific dashboard infographic, high contrast, sharp typography,
+  generous spacing.
+- No photorealistic presenter, no white page background, no watermark.
+- Avoid tiny decorative clutter; prioritize readability at website size.
+
+## Post-Processing
+
+The generated image output was used as the visual base. The top title band was
+locally corrected with an exact text overlay to avoid generated-text spelling
+drift while preserving the generated diagram content.
 
 ## Verification
 
-The committed asset was visually checked in Playwright screenshots at desktop
-and mobile sizes. The page also includes an HTML key that lists the exact 20
-task names, four canonical research directions, and three foundation-pipeline
-tracks, so reader-facing counts do not depend only on the image.
+The committed asset was visually checked after post-processing. The page also
+includes an HTML key that lists the exact 20 task names, four canonical research
+directions, and three foundation-pipeline tracks, so reader-facing counts do
+not depend only on the image.

data/artifact_index.json

@@ -1,6 +1,6 @@
 {
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+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
   "status": "pass",
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   "missing": [],
@@ -1105,7 +1105,7 @@
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       "exists": true,
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       "exists": true,
       "bytes": 8640,
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       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
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@@ -1363,7 +1363,7 @@
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@@ -1387,7 +1387,7 @@
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data/figure_index.json

@@ -1,7 +1,7 @@
 {
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   "status": "pass",
-  "generated_at_utc": "2026-06-22T21:04:18+00:00",
+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
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   "figure_count": 30,
   "figures": [
@@ -115,8 +115,8 @@
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data/mirror_parity.json

@@ -1,6 +1,6 @@
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-          "sha256": "dedc34fa478d0d55198dd775205f0fe76032a964f70b6eb34e7d5941bcb3ab03"
+          "sha256": "74619e3b939d2308920fbc2261211272573b7935b130f91a35d773b368bdee6e"
         },
         "hf_model": {
           "path": "hf_model:metrics/quality_gates.json",
           "exists": true,
           "bytes": 8640,
-          "sha256": "dedc34fa478d0d55198dd775205f0fe76032a964f70b6eb34e7d5941bcb3ab03"
+          "sha256": "74619e3b939d2308920fbc2261211272573b7935b130f91a35d773b368bdee6e"
         }
       },
       "failures": []
@@ -2589,44 +2589,44 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 25144,
-        "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+        "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         },
         "hf_model_data": {
           "path": "hf_model:data/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 25144,
-          "sha256": "71d4d9aef211bd818795e385fedb63a49b23afcdf05e209aca65e6b96331c392"
+          "sha256": "8b235af4ace30dc0c8f2ec3f69e8328c2d5bda3c2edc7db9e43c5ae93c3c2146"
         }
       },
       "failures": []
@@ -2994,33 +2994,33 @@
       "local": {
         "path": "repo:docs/assets/charts/task_direction_pipeline_relationship.png",
         "exists": true,
-        "bytes": 1412546,
-        "sha256": "5d8cb6b758ae70b91e82d5bd7ac906c5b782a0f27e404ca5917de42466cc6d86"
+        "bytes": 1541517,
+        "sha256": "0e70d267ada316447cd8ade3181f5037af9805721476ca02dde7070697d94ac0"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:assets/charts/task_direction_pipeline_relationship.png",
           "exists": true,
-          "bytes": 1412546,
-          "sha256": "5d8cb6b758ae70b91e82d5bd7ac906c5b782a0f27e404ca5917de42466cc6d86"
+          "bytes": 1541517,
+          "sha256": "0e70d267ada316447cd8ade3181f5037af9805721476ca02dde7070697d94ac0"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/assets/charts/task_direction_pipeline_relationship.png",
           "exists": true,
-          "bytes": 1412546,
-          "sha256": "5d8cb6b758ae70b91e82d5bd7ac906c5b782a0f27e404ca5917de42466cc6d86"
+          "bytes": 1541517,
+          "sha256": "0e70d267ada316447cd8ade3181f5037af9805721476ca02dde7070697d94ac0"
         },
         "hf_artifacts_card": {
           "path": "hf_artifacts:assets/charts/task_direction_pipeline_relationship.png",
           "exists": true,
-          "bytes": 1412546,
-          "sha256": "5d8cb6b758ae70b91e82d5bd7ac906c5b782a0f27e404ca5917de42466cc6d86"
+          "bytes": 1541517,
+          "sha256": "0e70d267ada316447cd8ade3181f5037af9805721476ca02dde7070697d94ac0"
         },
         "hf_model": {
           "path": "hf_model:assets/charts/task_direction_pipeline_relationship.png",
           "exists": true,
-          "bytes": 1412546,
-          "sha256": "5d8cb6b758ae70b91e82d5bd7ac906c5b782a0f27e404ca5917de42466cc6d86"
+          "bytes": 1541517,
+          "sha256": "0e70d267ada316447cd8ade3181f5037af9805721476ca02dde7070697d94ac0"
         }
       },
       "failures": []
@@ -3031,33 +3031,33 @@
       "local": {
         "path": "repo:docs/assets/charts/task_direction_pipeline_relationship.prompt.md",
         "exists": true,
-        "bytes": 2011,
-        "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
+        "bytes": 3207,
+        "sha256": "1fb6137b1834017c54df49d43e6102bac773b0498b8fcdf4159bfdee303e6140"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:assets/charts/task_direction_pipeline_relationship.prompt.md",
           "exists": true,
-          "bytes": 2011,
-          "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
+          "bytes": 3207,
+          "sha256": "1fb6137b1834017c54df49d43e6102bac773b0498b8fcdf4159bfdee303e6140"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/assets/charts/task_direction_pipeline_relationship.prompt.md",
           "exists": true,
-          "bytes": 2011,
-          "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
+          "bytes": 3207,
+          "sha256": "1fb6137b1834017c54df49d43e6102bac773b0498b8fcdf4159bfdee303e6140"
         },
         "hf_artifacts_card": {
           "path": "hf_artifacts:assets/charts/task_direction_pipeline_relationship.prompt.md",
           "exists": true,
-          "bytes": 2011,
-          "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
+          "bytes": 3207,
+          "sha256": "1fb6137b1834017c54df49d43e6102bac773b0498b8fcdf4159bfdee303e6140"
         },
         "hf_model": {
           "path": "hf_model:assets/charts/task_direction_pipeline_relationship.prompt.md",
           "exists": true,
-          "bytes": 2011,
-          "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
+          "bytes": 3207,
+          "sha256": "1fb6137b1834017c54df49d43e6102bac773b0498b8fcdf4159bfdee303e6140"
         }
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       "failures": []
@@ -7503,39 +7503,39 @@
       "local": {
         "path": "repo:docs/index.html",
         "exists": true,
-        "bytes": 451364,
-        "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+        "bytes": 451415,
+        "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:index.html",
           "exists": true,
-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+          "bytes": 451415,
+          "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
         },
         "hf_artifacts_root": {
           "path": "hf_artifacts:index.html",
           "exists": true,
-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+          "bytes": 451415,
+          "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/index.html",
           "exists": true,
-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+          "bytes": 451415,
+          "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
         },
         "hf_model": {
           "path": "hf_model:index.html",
           "exists": true,
-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+          "bytes": 451415,
+          "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
         },
         "hf_model_docs": {
           "path": "hf_model:docs/index.html",
           "exists": true,
-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
+          "bytes": 451415,
+          "sha256": "cdef743aa0f04695e849aa149edbf9dcc2b841529b4536fa23030954c3aef19b"
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data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:16:36+00:00",
+  "generated_at_utc": "2026-06-23T06:25:44+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": "2026-06-23T05:15:51+00:00"
+          "generated_at_utc": "2026-06-23T06:16:03+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -43,12 +43,12 @@
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T05:16:08+00:00"
+          "generated_at_utc": "2026-06-23T06:24:46+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T05:13:24+00:00"
+          "generated_at_utc": "2026-06-23T06:24:37+00:00"
         }
       },
       "failures": {}

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:16:08+00:00",
+  "generated_at_utc": "2026-06-23T06:24:46+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:16:55+00:00",
+  "generated_at_utc": "2026-06-23T06:25:44+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/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:15:51+00:00",
+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -81,7 +81,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 192813,
-      "evidence_index": 255728
+      "evidence_index": 255779
     },
     {
       "name": "project_status_links_json",
@@ -160,8 +160,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 192813,
-      "protocol_index": 251933,
-      "evidence_index": 255728
+      "protocol_index": 251984,
+      "evidence_index": 255779
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -420,7 +420,7 @@
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 10940,
+      "bytes": 14235,
       "top_level_type": "dict"
     },
     {
@@ -678,7 +678,7 @@
     {
       "path": "assets/charts/task_direction_pipeline_relationship.png",
       "exists": true,
-      "bytes": 1412546,
+      "bytes": 1541517,
       "width": 1672,
       "height": 941,
       "format": "PNG"

docs/assets/charts/task_direction_pipeline_relationship.prompt.md

@@ -1,42 +1,72 @@
 # Task-Direction-Pipeline Relationship Map
 
-Generated with ChatGPT image for the public website relationship block.
+Generated as a public infographic asset for the website relationship block.
 
 ## Public Asset
 
 - `docs/assets/charts/task_direction_pipeline_relationship.png`
 
-## Prompt
-
-Use case: infographic diagram for a research project website. Create a polished
-16:9 dark Ropedia-style relationship-map image with deep black background,
-neon lime and cyan accents, high contrast, no text, no letters, no numerals, no
-logos, no watermarks.
-
-Composition must be mathematically clear:
-
-- Left: exactly 20 square task tiles, arranged as a clean 4 columns by 5 rows
-  grid. No extra task tiles, no partial tiles, no hidden tiles. Each tile
-  contains a simple abstract icon for embodied AI tasks such as action, hand
-  motion, object, language, retrieval, reconstruction, temporal order, sync,
-  forecast, IMU, camera view, transition.
-- Center: exactly 4 large translucent grouped sectors or rounded panels,
-  stacked vertically or fanned slightly, representing four research directions.
-  Use four visually distinct but harmonious neon accents. No labels.
-- Right: exactly 3 vertical foundation-pipeline columns, equally spaced, each
-  built from stacked model/data blocks with upward light beams, representing
-  three training pipelines. No extra columns.
-- Connect the 20 task grid to the 4 center groups with thin luminous lines,
-  then connect the 4 groups to the 3 right pipeline columns with clean arrows.
-
-The visual should be easy to understand at webpage size, modern, elegant,
-scientific, and consistent with a black/neon-lime Ropedia website. Avoid tiny
-decorative clutter. Ensure the exact structure 20 -> 4 -> 3 is visually obvious
-without relying on text.
+## Generation Prompt
+
+Use case: infographic-diagram.
+
+Asset type: high-resolution website figure for Ropedia Xperience-10M.
+
+Primary request: generate a polished, readable, dark neon Ropedia-style
+infographic that clearly explains the current expandable structure:
+20 task contracts -> 4 research directions -> 3 foundation training pipelines.
+
+Critical text accuracy and layout:
+
+- Make the numbers 20, 4, and 3 unmistakable. Use large section headings:
+  `20 TASKS`, `4 RESEARCH DIRECTIONS`, `3 FOUNDATION PIPELINES`.
+- Add the subtitle: `Current public release, open to expand`.
+- Left side: exactly twenty task tiles in a 5 x 4 grid. Use large numbers
+  `01` through `20` plus simple icons. Keep task labels short and readable:
+  Action, Step, Boundary, Next Action, Hand Path, Contact, Object, Grounding,
+  Retrieval, Reconstruct, Order, Sync, Horizon, Subtask, Text, Relation,
+  Object Set, IMU Pose, View Sync, Time.
+- Middle: exactly four large direction panels labeled A, B, C, D. Use these
+  direction names:
+  - A. Human Modeling & Motion Understanding
+  - B. 3D/4D Reconstruction & Neural Rendering
+  - C. Egocentric Vision & Interaction
+  - D. Scene Reconstruction & World Modeling
+- Under each direction, include one concise focus line:
+  - A: pose, hand/body motion, human-object interaction
+  - B: multi-view 3D/4D reconstruction, NeRF/GS, novel views
+  - C: egocentric actions, intention, objects, language
+  - D: scene graphs, spatial reasoning, future world state
+- Right side: exactly three foundation pipeline cards:
+  - 1 Spatial Intelligence
+  - 2 Human-Video World Model
+  - 3 Vision-Language-Action
+- Each pipeline card shows inputs -> targets:
+  - Spatial Intelligence: RGB + depth + pose -> 3D geometry + spatial reasoning
+  - Human-Video World Model: video + action + motion -> future frame + future action
+  - Vision-Language-Action: video + language + motion -> robot action chunk
+- Draw clean arrows from the 20-task grid into the 4 direction panels, then
+  arrows into the 3 pipeline cards.
+- Add a footer line: `Tasks, directions, and pipelines can expand as new evidence is added.`
+
+Visual style:
+
+- Deep black background, neon lime as primary, cyan/blue/violet accents,
+  consistent with the Ropedia visual style.
+- Clean scientific dashboard infographic, high contrast, sharp typography,
+  generous spacing.
+- No photorealistic presenter, no white page background, no watermark.
+- Avoid tiny decorative clutter; prioritize readability at website size.
+
+## Post-Processing
+
+The generated image output was used as the visual base. The top title band was
+locally corrected with an exact text overlay to avoid generated-text spelling
+drift while preserving the generated diagram content.
 
 ## Verification
 
-The committed asset was visually checked in Playwright screenshots at desktop
-and mobile sizes. The page also includes an HTML key that lists the exact 20
-task names, four canonical research directions, and three foundation-pipeline
-tracks, so reader-facing counts do not depend only on the image.
+The committed asset was visually checked after post-processing. The page also
+includes an HTML key that lists the exact 20 task names, four canonical research
+directions, and three foundation-pipeline tracks, so reader-facing counts do
+not depend only on the image.

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-23T05:07:35+00:00",
+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
   "status": "pass",
   "artifact_count": 228,
   "missing": [],
@@ -1105,7 +1105,7 @@
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 20339,
-      "sha256": "3e6108a7365e8169d4695a177abf27a5f076032d4f46f4b7ee85ecb2342f9e92"
+      "sha256": "15bb5dad98b9e53cb88c74e20e0a2b7e8f0080bf6d8301262b3df3e97216fe33"
     },
     {
       "id": "figure_index_builder",
@@ -1171,7 +1171,7 @@
       "shows": "Lists the automated and post-publish checks used to keep the release current.",
       "exists": true,
       "bytes": 5184,
-      "sha256": "01bc15b23784df0668624b819ead739058628378f38435f41655a1491b1e8465"
+      "sha256": "4931d4457c4c5b0978fdf31861b6e3e2da6e24368398cf1756120a32cbff98f0"
     },
     {
       "id": "quality_gate_manifest",
@@ -1182,7 +1182,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8640,
-      "sha256": "c3a5e11cd5db2121ddab367dc434aeb74bff3d087dfdcb10e09a8e8245bdc435"
+      "sha256": "dedc34fa478d0d55198dd775205f0fe76032a964f70b6eb34e7d5941bcb3ab03"
     },
     {
       "id": "public_surface_qa",
@@ -1193,7 +1193,7 @@
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
       "bytes": 2313,
-      "sha256": "92a91897e406b67db5422b7026c96a9f29f63532f695b15351aa968f92b31f5a"
+      "sha256": "7f8cbce404a40e4c660c9f9dfbe2a2880df3749d33dd45c5bc1abc4e527392a1"
     },
     {
       "id": "public_reader_map",
@@ -1226,7 +1226,7 @@
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 7846,
+      "bytes": 7690,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1363,7 +1363,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 10940,
+      "bytes": 14235,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -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": 1489468,
+      "bytes": 1482482,
       "hash_policy": "existence_and_size_only"
     },
     {

docs/data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-22T21:04:18+00:00",
+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 30,
   "figures": [
@@ -115,8 +115,8 @@
       "source_script": "docs/assets/charts/task_direction_pipeline_relationship.prompt.md",
       "surface": "website overview, HF Space, artifact dataset, model card",
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           "path": "hf_model:assets/charts/task_direction_pipeline_relationship.prompt.md",
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-          "sha256": "600cbceb627c6e24326af4954a7a80eac51fb9c59b16a28eb70b0be946a8b7f8"
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@@ -7503,39 +7503,39 @@
       "local": {
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         "exists": true,
-        "bytes": 451364,
-        "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
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       "mirrors": {
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-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
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         "hf_artifacts_root": {
           "path": "hf_artifacts:index.html",
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-          "bytes": 451364,
-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
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         "hf_artifacts_docs": {
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-          "sha256": "ae498fb0e33c9be5919c98a178dde3276a14afa88dbb8093ad1bfb76a1dbd5fa"
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docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:16:36+00:00",
+  "generated_at_utc": "2026-06-23T06:25:44+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
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@@ -18,7 +18,7 @@
         "website_integrity": {
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           "status": "pass",
-          "generated_at_utc": "2026-06-23T05:15:51+00:00"
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@@ -43,12 +43,12 @@
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           "status": "pass",
-          "generated_at_utc": "2026-06-23T05:13:24+00:00"
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docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-23T05:16:08+00:00",
+  "generated_at_utc": "2026-06-23T06:24:46+00:00",
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docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:16:55+00:00",
+  "generated_at_utc": "2026-06-23T06:25:44+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": [
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docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T05:15:51+00:00",
+  "generated_at_utc": "2026-06-23T06:16:03+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
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@@ -81,7 +81,7 @@
       "status": "pass",
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@@ -160,8 +160,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 192813,
-      "protocol_index": 251933,
-      "evidence_index": 255728
+      "protocol_index": 251984,
+      "evidence_index": 255779
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@@ -420,7 +420,7 @@
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@@ -678,7 +678,7 @@
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docs/index.html

@@ -6761,7 +6761,7 @@
             </article>
           </div>
           <figure class="task-axis-visual">
-            <img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v1" alt="Text-free visual relationship map: twenty task nodes flow into four research grouping sectors, then into three foundation-model training pipelines.">
+            <img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v2-chatgpt" alt="Labeled relationship map showing 20 task contracts flowing into four named research directions and three foundation-model training pipelines, with the current structure marked as expandable.">
             <figcaption aria-label="Relationship map legend">
               <span><strong>20 tasks</strong>Score axes used by every method row.</span>
               <span><strong>4 directions</strong>Research questions for reading those scores.</span>

index.html

@@ -6761,7 +6761,7 @@
             </article>
           </div>
           <figure class="task-axis-visual">
-            <img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v1" alt="Text-free visual relationship map: twenty task nodes flow into four research grouping sectors, then into three foundation-model training pipelines.">
+            <img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v2-chatgpt" alt="Labeled relationship map showing 20 task contracts flowing into four named research directions and three foundation-model training pipelines, with the current structure marked as expandable.">
             <figcaption aria-label="Relationship map legend">
               <span><strong>20 tasks</strong>Score axes used by every method row.</span>
               <span><strong>4 directions</strong>Research questions for reading those scores.</span>