Add files using upload-large-folder tool

data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-15T09:55:20+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+00:00",
   "status": "pass",
   "artifact_count": 165,
   "missing": [],
@@ -330,8 +330,8 @@
       "surface": "repo_hf",
       "shows": "Builds the upload-ready Hugging Face adapter folder from a verified Qwen3 LoRA result summary and adapter directory.",
       "exists": true,
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-      "sha256": "93e7b0edba5cb37621171706df5e62bb2ecc3f4e6725fc78d24634aca9ac4175"
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     {
       "id": "qwen3_private_gpu_repro_smoke",
@@ -484,8 +484,8 @@
       "surface": "repo_hf",
       "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
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-      "sha256": "1351c20614722fd033b3f5055f53adfbd11aae83449b0bb384d98d49388f18a4"
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@@ -727,7 +727,7 @@
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       "bytes": 8097,
-      "sha256": "351bc7308d3a3a368cab22a6443482dbcb1a1efcde6272a5f19372ffe2cb5603"
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       "id": "public_surface_qa",
@@ -841,8 +841,8 @@
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-      "sha256": "3d33efa8e1ed56a78b3f57e827fcfd1c3ff9848e4cc8350701847042bafe88d0"
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@@ -933,8 +933,8 @@
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       "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
       "exists": true,
-      "bytes": 5193,
-      "sha256": "1ae4c41fdcca6638e570e081d07f700d56ca490fecc25d681d5066b1ca8319ee"
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@@ -1109,8 +1109,8 @@
       "surface": "repo_hf",
       "shows": "Documents the final 128-episode LoRA adapter upload path, target model repo, package builder, and forbidden files.",
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-      "sha256": "d12d0b15eb6374b380940a95d13d87c8f840bb5118cf4b57e57965e018ec14e6"
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       "id": "multi_episode_access_status",

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:55:06+00:00",
+  "generated_at_utc": "2026-06-15T14:02:11+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 377,
@@ -139,44 +139,44 @@
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@@ -677,45 +677,45 @@
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@@ -825,44 +825,44 @@
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@@ -874,44 +874,44 @@
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@@ -1021,44 +1021,44 @@
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@@ -1560,44 +1560,44 @@
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@@ -1707,44 +1707,44 @@
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@@ -1805,44 +1805,44 @@
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@@ -3040,21 +3040,21 @@
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@@ -3540,21 +3540,21 @@
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@@ -3740,21 +3740,21 @@
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@@ -3894,39 +3894,39 @@
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@@ -4221,27 +4221,27 @@
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data/project_manifest.json

@@ -31,6 +31,7 @@
     "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts",
     "hf_model_repo": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines",
     "hf_qwen3_lora_adapter": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
+    "hf_cosmos3_super_lora_adapter": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep",
     "hf_collection": "https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite"
   },
   "upstream_sources": {

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
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   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:55:26+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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@@ -48,7 +48,7 @@
         "mirror_parity": {
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           "status": "pass",
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+          "generated_at_utc": "2026-06-15T09:55:50+00:00"
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@@ -98,7 +98,7 @@
         "Ropedia Xperience-10M Task Suite": 16,
         "Xperience-10M": 148,
         "12-task": 32,
-        "Qwen3-Omni": 140,
+        "Qwen3-Omni": 141,
         "128-episode pilot": 1
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data/publication_audit.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-15T09:51:00+00:00",
+  "generated_at_utc": "2026-06-15T14:01:26+00:00",
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data/quality_gates.json

@@ -1,7 +1,7 @@
 {
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   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:55:31+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
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data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
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   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:37:36+00:00",
+  "generated_at_utc": "2026-06-15T14:01:16+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
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data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-15T09:37:46+00:00",
+  "generated_at_utc": "2026-06-15T14:01:16+00:00",
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data/website_integrity.json

@@ -1,6 +1,6 @@
 {
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+  "generated_at_utc": "2026-06-15T14:01:19+00:00",
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   "site_base": "/ropedia-xperience-10m-task-suite/",
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@@ -341,7 +341,7 @@
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@@ -366,7 +366,7 @@
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docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-15T09:55:20+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+00:00",
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@@ -330,8 +330,8 @@
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@@ -484,8 +484,8 @@
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@@ -727,7 +727,7 @@
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@@ -841,8 +841,8 @@
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@@ -933,8 +933,8 @@
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@@ -1109,8 +1109,8 @@
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docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-15T09:55:06+00:00",
+  "generated_at_utc": "2026-06-15T14:02:11+00:00",
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+          "sha256": "665a890810ddab70c2393d3b113533c2aa3193543fbeb5e32c2bc4dfe13b4572"
         },
         "hf_model_data": {
           "path": "hf_model:data/website_integrity.json",
           "exists": true,
           "bytes": 17443,
-          "sha256": "4c8209410c1eb3a3a521e64e4d7d9203e9e71575047165b5320759d7893ba027"
+          "sha256": "665a890810ddab70c2393d3b113533c2aa3193543fbeb5e32c2bc4dfe13b4572"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 17443,
-          "sha256": "4c8209410c1eb3a3a521e64e4d7d9203e9e71575047165b5320759d7893ba027"
+          "sha256": "665a890810ddab70c2393d3b113533c2aa3193543fbeb5e32c2bc4dfe13b4572"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 17443,
-          "sha256": "4c8209410c1eb3a3a521e64e4d7d9203e9e71575047165b5320759d7893ba027"
+          "sha256": "665a890810ddab70c2393d3b113533c2aa3193543fbeb5e32c2bc4dfe13b4572"
         }
       },
       "failures": []
@@ -3040,21 +3040,21 @@
       "local": {
         "path": "repo:scripts/omni/prepare_qwen3_lora_hf_package.py",
         "exists": true,
-        "bytes": 12040,
-        "sha256": "93e7b0edba5cb37621171706df5e62bb2ecc3f4e6725fc78d24634aca9ac4175"
+        "bytes": 12059,
+        "sha256": "944d41412dddafd056eda12a2228c870e6631e2d640f7bc09b10d8007ee8e8bc"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/omni/prepare_qwen3_lora_hf_package.py",
           "exists": true,
-          "bytes": 12040,
-          "sha256": "93e7b0edba5cb37621171706df5e62bb2ecc3f4e6725fc78d24634aca9ac4175"
+          "bytes": 12059,
+          "sha256": "944d41412dddafd056eda12a2228c870e6631e2d640f7bc09b10d8007ee8e8bc"
         },
         "hf_model": {
           "path": "hf_model:scripts/omni/prepare_qwen3_lora_hf_package.py",
           "exists": true,
-          "bytes": 12040,
-          "sha256": "93e7b0edba5cb37621171706df5e62bb2ecc3f4e6725fc78d24634aca9ac4175"
+          "bytes": 12059,
+          "sha256": "944d41412dddafd056eda12a2228c870e6631e2d640f7bc09b10d8007ee8e8bc"
         }
       },
       "failures": []
@@ -3540,21 +3540,21 @@
       "local": {
         "path": "repo:scripts/verify_live_publication.py",
         "exists": true,
-        "bytes": 43203,
-        "sha256": "3d33efa8e1ed56a78b3f57e827fcfd1c3ff9848e4cc8350701847042bafe88d0"
+        "bytes": 43271,
+        "sha256": "e2ef9d0537a928e3e17965c2c2df15b98f2def3420c063e934926e3a81dfd79c"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/verify_live_publication.py",
           "exists": true,
-          "bytes": 43203,
-          "sha256": "3d33efa8e1ed56a78b3f57e827fcfd1c3ff9848e4cc8350701847042bafe88d0"
+          "bytes": 43271,
+          "sha256": "e2ef9d0537a928e3e17965c2c2df15b98f2def3420c063e934926e3a81dfd79c"
         },
         "hf_model": {
           "path": "hf_model:scripts/verify_live_publication.py",
           "exists": true,
-          "bytes": 43203,
-          "sha256": "3d33efa8e1ed56a78b3f57e827fcfd1c3ff9848e4cc8350701847042bafe88d0"
+          "bytes": 43271,
+          "sha256": "e2ef9d0537a928e3e17965c2c2df15b98f2def3420c063e934926e3a81dfd79c"
         }
       },
       "failures": []
@@ -3740,21 +3740,21 @@
       "local": {
         "path": "repo:scripts/publish_hf_bundles.py",
         "exists": true,
-        "bytes": 20337,
-        "sha256": "1351c20614722fd033b3f5055f53adfbd11aae83449b0bb384d98d49388f18a4"
+        "bytes": 21636,
+        "sha256": "0d6350d2cfe2fb7a9172cf98e37a620e420f0a74f43e83c5e49839e8582ab9b5"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/publish_hf_bundles.py",
           "exists": true,
-          "bytes": 20337,
-          "sha256": "1351c20614722fd033b3f5055f53adfbd11aae83449b0bb384d98d49388f18a4"
+          "bytes": 21636,
+          "sha256": "0d6350d2cfe2fb7a9172cf98e37a620e420f0a74f43e83c5e49839e8582ab9b5"
         },
         "hf_model": {
           "path": "hf_model:scripts/publish_hf_bundles.py",
           "exists": true,
-          "bytes": 20337,
-          "sha256": "1351c20614722fd033b3f5055f53adfbd11aae83449b0bb384d98d49388f18a4"
+          "bytes": 21636,
+          "sha256": "0d6350d2cfe2fb7a9172cf98e37a620e420f0a74f43e83c5e49839e8582ab9b5"
         }
       },
       "failures": []
@@ -3894,39 +3894,39 @@
       "local": {
         "path": "repo:docs/index.html",
         "exists": true,
-        "bytes": 211593,
-        "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+        "bytes": 211631,
+        "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:index.html",
           "exists": true,
-          "bytes": 211593,
-          "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+          "bytes": 211631,
+          "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
         },
         "hf_artifacts_root": {
           "path": "hf_artifacts:index.html",
           "exists": true,
-          "bytes": 211593,
-          "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+          "bytes": 211631,
+          "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
         },
         "hf_artifacts_docs": {
           "path": "hf_artifacts:docs/index.html",
           "exists": true,
-          "bytes": 211593,
-          "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+          "bytes": 211631,
+          "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
         },
         "hf_model": {
           "path": "hf_model:index.html",
           "exists": true,
-          "bytes": 211593,
-          "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+          "bytes": 211631,
+          "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
         },
         "hf_model_docs": {
           "path": "hf_model:docs/index.html",
           "exists": true,
-          "bytes": 211593,
-          "sha256": "210a61e2622a8d2f867037ea6c632b9d1c764837410d41f9ddc3a59f93c6e887"
+          "bytes": 211631,
+          "sha256": "c2a73c9a6007b2f88441a6ae56ef330095347475b7de54411e01f77780be239b"
         }
       },
       "failures": []
@@ -4221,27 +4221,27 @@
       "local": {
         "path": "repo:results/omni_finetune/HF_UPLOAD.md",
         "exists": true,
-        "bytes": 1877,
-        "sha256": "d12d0b15eb6374b380940a95d13d87c8f840bb5118cf4b57e57965e018ec14e6"
+        "bytes": 1906,
+        "sha256": "2af2e93ec325a57b322aa9eee981031e9c1152630b380856766a3afacc431615"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:results/omni_finetune/HF_UPLOAD.md",
           "exists": true,
-          "bytes": 1877,
-          "sha256": "d12d0b15eb6374b380940a95d13d87c8f840bb5118cf4b57e57965e018ec14e6"
+          "bytes": 1906,
+          "sha256": "2af2e93ec325a57b322aa9eee981031e9c1152630b380856766a3afacc431615"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:results/omni_finetune/HF_UPLOAD.md",
           "exists": true,
-          "bytes": 1877,
-          "sha256": "d12d0b15eb6374b380940a95d13d87c8f840bb5118cf4b57e57965e018ec14e6"
+          "bytes": 1906,
+          "sha256": "2af2e93ec325a57b322aa9eee981031e9c1152630b380856766a3afacc431615"
         },
         "hf_model": {
           "path": "hf_model:results/omni_finetune/HF_UPLOAD.md",
           "exists": true,
-          "bytes": 1877,
-          "sha256": "d12d0b15eb6374b380940a95d13d87c8f840bb5118cf4b57e57965e018ec14e6"
+          "bytes": 1906,
+          "sha256": "2af2e93ec325a57b322aa9eee981031e9c1152630b380856766a3afacc431615"
         }
       },
       "failures": []

docs/data/project_manifest.json

@@ -31,6 +31,7 @@
     "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts",
     "hf_model_repo": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines",
     "hf_qwen3_lora_adapter": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep",
+    "hf_cosmos3_super_lora_adapter": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep",
     "hf_collection": "https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite"
   },
   "upstream_sources": {

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:55:26+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -48,7 +48,7 @@
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-15T09:55:06+00:00"
+          "generated_at_utc": "2026-06-15T09:55:50+00:00"
         }
       },
       "failures": {}
@@ -98,7 +98,7 @@
         "Ropedia Xperience-10M Task Suite": 16,
         "Xperience-10M": 148,
         "12-task": 32,
-        "Qwen3-Omni": 140,
+        "Qwen3-Omni": 141,
         "128-episode pilot": 1
       }
     },

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:51:00+00:00",
+  "generated_at_utc": "2026-06-15T14:01:26+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:55:31+00:00",
+  "generated_at_utc": "2026-06-15T14:00:44+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": [
     {

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:37:36+00:00",
+  "generated_at_utc": "2026-06-15T14:01:16+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": "2026-06-15T09:37:46+00:00",
+  "generated_at_utc": "2026-06-15T14:01:16+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-15T09:50:43+00:00",
+  "generated_at_utc": "2026-06-15T14:01:19+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -341,7 +341,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 565479,
+      "bytes": 566885,
       "top_level_type": "dict"
     },
     {
@@ -366,7 +366,7 @@
     },
     {
       "path": "data/project_manifest.json",
-      "bytes": 5193,
+      "bytes": 5313,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -3603,7 +3603,7 @@
               <article class="artifact"><h3>GitHub Package</h3><p>Static dashboard container published to GitHub Container Registry for local browsing with Docker, without raw data or model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/pkgs/container/ropedia-xperience-10m-task-suite">GHCR package</a></article>
               <article class="artifact"><h3>Derived HF artifacts</h3><p>Metrics, predictions, docs, and lightweight derived files without raw data redistribution.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact collection</a></article>
               <article class="artifact"><h3>HF baseline models</h3><p>Minimal NumPy softmax, ridge baselines, and neural task-head model files.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
-              <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, and model baselines grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
+              <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, baseline models, and verified Qwen3/Cosmos3 adapter repos grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
               <article class="artifact"><h3>Current all-feature action model</h3><p>Classifier metrics, predictions, confusion matrix, and model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/min_all_modalities_action_model/metrics.json">model metrics</a></article>
               <article class="artifact"><h3>Reader path</h3><p>Compact route through the project for readers who want the shortest path from scope to results.</p><a href="data/project_packet.json">reader path</a></article>
             </div>

index.html

@@ -3603,7 +3603,7 @@
               <article class="artifact"><h3>GitHub Package</h3><p>Static dashboard container published to GitHub Container Registry for local browsing with Docker, without raw data or model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/pkgs/container/ropedia-xperience-10m-task-suite">GHCR package</a></article>
               <article class="artifact"><h3>Derived HF artifacts</h3><p>Metrics, predictions, docs, and lightweight derived files without raw data redistribution.</p><a href="https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts">artifact collection</a></article>
               <article class="artifact"><h3>HF baseline models</h3><p>Minimal NumPy softmax, ridge baselines, and neural task-head model files.</p><a href="https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines">model repo</a></article>
-              <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, and model baselines grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
+              <article class="artifact"><h3>HF collection</h3><p>Space, artifacts, baseline models, and verified Qwen3/Cosmos3 adapter repos grouped into one public project collection.</p><a href="https://huggingface.co/collections/cy0307/ropedia-xperience-10m-task-suite">collection</a></article>
               <article class="artifact"><h3>Current all-feature action model</h3><p>Classifier metrics, predictions, confusion matrix, and model weights.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/min_all_modalities_action_model/metrics.json">model metrics</a></article>
               <article class="artifact"><h3>Reader path</h3><p>Compact route through the project for readers who want the shortest path from scope to results.</p><a href="data/project_packet.json">reader path</a></article>
             </div>

results/omni_finetune/HF_UPLOAD.md

@@ -7,7 +7,7 @@ audit pass.
 Current intended target:
 
 - Model repo: `cy0307/ropedia-qwen3-omni-lora-128ep`
-- Source package: `results/omni_finetune/hf_upload_qwen3_128ep_full/`
+- Source package: `results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64/`
 - Package builder: `scripts/omni/prepare_qwen3_lora_hf_package.py`
 - Upload script: `scripts/omni/upload_qwen3_omni_lora_to_hf.py`
 
@@ -15,9 +15,9 @@ Prepare the upload directory from the completed adapter and verified summary:
 
 ```bash
 python3 scripts/omni/prepare_qwen3_lora_hf_package.py \
-  --adapter-dir checkpoints/xperience10m_qwen3_omni_128ep_structured_json_v4_4epoch_full8gpu_lora/adapter_lora \
-  --verified-summary results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_structured_json_v4_4epoch_full8gpu_lora_eval_test_full/verified_result_summary.json \
-  --output-dir results/omni_finetune/hf_upload_qwen3_128ep_full \
+  --adapter-dir checkpoints/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora/adapter_lora \
+  --verified-summary results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/verified_result_summary.json \
+  --output-dir results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64 \
   --repo-id cy0307/ropedia-qwen3-omni-lora-128ep
 ```
 
@@ -26,7 +26,7 @@ Upload when network and `HF_TOKEN` are available:
 ```bash
 HF_TOKEN=<your_token> python3 scripts/omni/upload_qwen3_omni_lora_to_hf.py \
   --repo-id cy0307/ropedia-qwen3-omni-lora-128ep \
-  --source-dir results/omni_finetune/hf_upload_qwen3_128ep_full \
+  --source-dir results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64 \
   --message "Upload Xperience-10M 128-episode Qwen3-Omni LoRA adapter"
 ```
 

scripts/omni/prepare_qwen3_lora_hf_package.py

@@ -16,14 +16,14 @@ ROOT = Path(__file__).resolve().parents[2]
 DEFAULT_VERIFIED_SUMMARY = (
     ROOT
     / "results/omni_finetune/verified_public/"
-    / "xperience10m_qwen3_omni_128ep_structured_json_v4_4epoch_full8gpu_lora_eval_test_full/"
+    / "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/"
     / "verified_result_summary.json"
 )
 DEFAULT_ADAPTER_DIR = (
     ROOT
-    / "checkpoints/xperience10m_qwen3_omni_128ep_structured_json_v4_4epoch_full8gpu_lora/adapter_lora"
+    / "checkpoints/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora/adapter_lora"
 )
-DEFAULT_OUTPUT_DIR = ROOT / "results/omni_finetune/hf_upload_qwen3_128ep_full"
+DEFAULT_OUTPUT_DIR = ROOT / "results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64"
 COPY_NAMES = [
     "adapter_config.json",
     "training_metadata.json",

scripts/publish_hf_bundles.py

@@ -32,6 +32,8 @@ DEFAULT_NAMESPACE = "cy0307"
 DEFAULT_SPACE_REPO = "ropedia-xperience-10m-task-suite"
 DEFAULT_ARTIFACT_REPO = "ropedia-xperience-10m-task-suite-artifacts"
 DEFAULT_MODEL_REPO = "ropedia-xperience-10m-task-baselines"
+DEFAULT_QWEN3_LORA_REPO = "ropedia-qwen3-omni-lora-128ep"
+DEFAULT_COSMOS3_SUPER_LORA_REPO = "ropedia-cosmos3-super-forward-dynamics-lora-128ep"
 COLLECTION_TITLE = "Ropedia Xperience-10M Task Suite"
 
 COMMON_IGNORE = [
@@ -126,6 +128,7 @@ datasets:
 models:
   - cy0307/ropedia-xperience-10m-task-baselines
   - cy0307/ropedia-qwen3-omni-lora-128ep
+  - cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep
 ---
 """
 
@@ -313,6 +316,8 @@ def parse_args() -> argparse.Namespace:
     parser.add_argument("--space-repo", default=DEFAULT_SPACE_REPO)
     parser.add_argument("--artifact-repo", default=DEFAULT_ARTIFACT_REPO)
     parser.add_argument("--model-repo", default=DEFAULT_MODEL_REPO)
+    parser.add_argument("--qwen3-lora-repo", default=DEFAULT_QWEN3_LORA_REPO)
+    parser.add_argument("--cosmos3-super-lora-repo", default=DEFAULT_COSMOS3_SUPER_LORA_REPO)
     parser.add_argument("--token", default=os.environ.get("HF_TOKEN", "").strip())
     parser.add_argument("--skip-space", action="store_true")
     parser.add_argument("--skip-artifacts", action="store_true")
@@ -469,6 +474,8 @@ def main() -> int:
     space_repo = full_repo(args.namespace, args.space_repo)
     artifact_repo = full_repo(args.namespace, args.artifact_repo)
     model_repo = full_repo(args.namespace, args.model_repo)
+    qwen3_lora_repo = full_repo(args.namespace, args.qwen3_lora_repo)
+    cosmos3_super_lora_repo = full_repo(args.namespace, args.cosmos3_super_lora_repo)
 
     api.create_repo(space_repo, repo_type="space", space_sdk="static", exist_ok=True, token=token)
     api.create_repo(artifact_repo, repo_type="dataset", exist_ok=True, token=token)
@@ -527,8 +534,9 @@ def main() -> int:
             COLLECTION_TITLE,
             namespace=args.namespace,
             description=(
-                "Space, artifact dataset, and minimal plus neural baseline model repos "
-                "for the Ropedia Xperience-10M single-episode task suite."
+                "Space, artifact dataset, minimal plus neural baseline model repos, "
+                "and verified Qwen3/Cosmos3 adapter repos for the Ropedia "
+                "Xperience-10M task suite."
             ),
             private=False,
             exists_ok=True,
@@ -537,6 +545,22 @@ def main() -> int:
         api.add_collection_item(collection.slug, space_repo, "space", note="Interactive/static dashboard.", exists_ok=True, token=token)
         api.add_collection_item(collection.slug, artifact_repo, "dataset", note="Derived metrics, predictions, scripts, and diagrams.", exists_ok=True, token=token)
         api.add_collection_item(collection.slug, model_repo, "model", note="Minimal numpy weights plus neural MLP checkpoints.", exists_ok=True, token=token)
+        api.add_collection_item(
+            collection.slug,
+            qwen3_lora_repo,
+            "model",
+            note="Verified v6 rank64 Qwen3-Omni LoRA adapter for the selected 128-episode diagnostic branch.",
+            exists_ok=True,
+            token=token,
+        )
+        api.add_collection_item(
+            collection.slug,
+            cosmos3_super_lora_repo,
+            "model",
+            note="Verified Cosmos3-Super forward-dynamics LoRA adapter over camera-pose proxy targets.",
+            exists_ok=True,
+            token=token,
+        )
         print(f"Collection: https://huggingface.co/collections/{collection.slug}")
     except Exception as exc:
         print(f"Collection update skipped: {exc}")
@@ -545,6 +569,8 @@ def main() -> int:
     print(f"Space: https://huggingface.co/spaces/{space_repo}")
     print(f"Artifacts: https://huggingface.co/datasets/{artifact_repo}")
     print(f"Models: https://huggingface.co/{model_repo}")
+    print(f"Qwen3 LoRA: https://huggingface.co/{qwen3_lora_repo}")
+    print(f"Cosmos3-Super LoRA: https://huggingface.co/{cosmos3_super_lora_repo}")
     return 0
 
 

scripts/verify_live_publication.py

@@ -29,6 +29,7 @@ USER_AGENT = "ropedia-xperience-10m-live-verifier/1.0"
 LOCAL_PATH_FORBIDDEN_MARKERS = ["/" + "Users/", "/" + "private/"]
 QWEN3_LORA_REPO_ID = "cy0307/ropedia-qwen3-omni-lora-128ep"
 QWEN3_LORA_UPLOAD_DIR_CANDIDATES = [
+    ROOT / "results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64",
     ROOT.parent / "hf_publish/qwen3_lora_128ep",
     ROOT / "results/omni_finetune/hf_upload_qwen3_128ep_full",
 ]