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": "2026-06-13T17:46:38+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+00:00",
   "status": "pass",
   "artifact_count": 162,
   "missing": [],
@@ -263,8 +263,8 @@
       "surface": "repo_hf",
       "shows": "Summarizes the 2026-06-09 full-parameter FSDP feasibility gates: 1/8/32/64-step guarded runs passed, the 128-step opportunistic pilot was preempted for Qwen v5 handoff, and no full checkpoints or weights are published.",
       "exists": true,
-      "bytes": 3253,
-      "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+      "bytes": 3251,
+      "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
     },
     {
       "id": "qwen3_full_parameter_gates_json",
@@ -274,8 +274,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable summary of full-parameter feasibility evidence and publication policy for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 12183,
-      "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+      "bytes": 12181,
+      "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
     },
     {
       "id": "qwen3_v5_v6_comparison",
@@ -307,8 +307,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the full-parameter feasibility-gate Markdown and JSON summaries from the run-local evidence files.",
       "exists": true,
-      "bytes": 15876,
-      "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+      "bytes": 16013,
+      "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
     },
     {
       "id": "qwen3_full_parameter_post_verified_deferrer",
@@ -440,7 +440,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "0d0d381f726c1e3787fb3fb15b6fb8879512c26fa0dc06fb943e1a239b0063dd"
+      "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
     },
     {
       "id": "source_alignment_validator",
@@ -876,7 +876,7 @@
       "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": 543559,
+      "bytes": 548183,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1142,7 +1142,7 @@
       "shows": "Reader-facing comparison of the single-episode task suite, 128-episode aligned baselines, Qwen3-Omni packages, and Cosmos3 future-window branch.",
       "exists": true,
       "bytes": 15999,
-      "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+      "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
     },
     {
       "id": "omni_model_comparison_json",
@@ -1153,7 +1153,7 @@
       "shows": "Machine-readable comparison of the current result versions, per-task aligned baselines, verified Qwen3 packages, and Cosmos3 package.",
       "exists": true,
       "bytes": 81866,
-      "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+      "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
     },
     {
       "id": "cosmos3_nano_verified_summary",

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:47:14+00:00",
+  "generated_at_utc": "2026-06-13T18:15:44+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 366,
@@ -139,44 +139,44 @@
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
         "bytes": 88913,
-        "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+        "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model_data": {
           "path": "hf_model:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         }
       },
       "failures": []
@@ -580,44 +580,44 @@
         "path": "repo:docs/data/omni_model_comparison.json",
         "exists": true,
         "bytes": 81866,
-        "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+        "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model_data": {
           "path": "hf_model:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model": {
           "path": "hf_model:metrics/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         }
       },
       "failures": []
@@ -825,44 +825,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 7591,
-        "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+        "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         }
       },
       "failures": []
@@ -874,44 +874,44 @@
         "path": "repo:docs/data/public_surface_qa.json",
         "exists": true,
         "bytes": 5640,
-        "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+        "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model_data": {
           "path": "hf_model:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model": {
           "path": "hf_model:metrics/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         }
       },
       "failures": []
@@ -922,45 +922,45 @@
       "local": {
         "path": "repo:docs/data/qwen3_full_parameter_gates.json",
         "exists": true,
-        "bytes": 12183,
-        "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+        "bytes": 12181,
+        "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model_data": {
           "path": "hf_model:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model": {
           "path": "hf_model:metrics/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         }
       },
       "failures": []
@@ -1021,44 +1021,44 @@
         "path": "repo:docs/data/quality_gates.json",
         "exists": true,
         "bytes": 8097,
-        "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+        "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model_data": {
           "path": "hf_model:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model": {
           "path": "hf_model:metrics/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         }
       },
       "failures": []
@@ -1413,44 +1413,44 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 21795,
-        "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+        "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model_data": {
           "path": "hf_model:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         }
       },
       "failures": []
@@ -1511,44 +1511,44 @@
         "path": "repo:docs/data/source_alignment_audit.json",
         "exists": true,
         "bytes": 4432,
-        "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+        "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model_data": {
           "path": "hf_model:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model": {
           "path": "hf_model:metrics/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         }
       },
       "failures": []
@@ -1658,44 +1658,44 @@
         "path": "repo:docs/data/task_surface_integrity.json",
         "exists": true,
         "bytes": 45779,
-        "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+        "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model_data": {
           "path": "hf_model:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model": {
           "path": "hf_model:metrics/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         }
       },
       "failures": []
@@ -1756,44 +1756,44 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 15774,
-        "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+        "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model_data": {
           "path": "hf_model:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         }
       },
       "failures": []
@@ -2594,21 +2594,21 @@
       "local": {
         "path": "repo:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
         "exists": true,
-        "bytes": 15876,
-        "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+        "bytes": 16013,
+        "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
           "exists": true,
-          "bytes": 15876,
-          "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+          "bytes": 16013,
+          "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
         },
         "hf_model": {
           "path": "hf_model:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
           "exists": true,
-          "bytes": 15876,
-          "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+          "bytes": 16013,
+          "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
         }
       },
       "failures": []
@@ -3781,26 +3781,26 @@
         "path": "repo:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
         "exists": true,
         "bytes": 15999,
-        "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+        "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         },
         "hf_model": {
           "path": "hf_model:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         }
       },
       "failures": []
@@ -3811,27 +3811,27 @@
       "local": {
         "path": "repo:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
         "exists": true,
-        "bytes": 3253,
-        "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+        "bytes": 3251,
+        "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         },
         "hf_model": {
           "path": "hf_model:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         }
       },
       "failures": []

data/omni_model_comparison.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
-  "generated_at_utc": "2026-06-13T17:41:35+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+00:00",
   "status": "pass",
   "version_count": 3,
   "model_group_count": 5,

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:37+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+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": "2026-06-13T17:46:31+00:00"
+          "generated_at_utc": "2026-06-13T17:46:49+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:42:17+00:00"
+          "generated_at_utc": "2026-06-13T17:46:47+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:42:17+00:00"
+          "generated_at_utc": "2026-06-13T17:46:47+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:46:07+00:00"
+          "generated_at_utc": "2026-06-13T17:46:50+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:44:16+00:00"
+          "generated_at_utc": "2026-06-13T17:46:58+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-12T18:14:59+00:00"
+          "generated_at_utc": "2026-06-13T17:47:14+00:00"
         },
         "live_publication": {
           "exists": true,

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:58+00:00",
+  "generated_at_utc": "2026-06-13T18:15:14+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -198,8 +198,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 700,
-      "text_file_count": 571,
+      "file_count": 703,
+      "text_file_count": 574,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 2581,
-      "text_file_count": 738,
+      "file_count": 1745,
+      "text_file_count": 742,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -220,8 +220,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 3239,
-      "text_file_count": 893,
+      "file_count": 2171,
+      "text_file_count": 898,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:37+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+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/qwen3_full_parameter_gates.json

@@ -1,9 +1,9 @@
 {
   "title": "Qwen3-Omni Full-Parameter Feasibility Gates",
-  "generated_at_utc": "2026-06-13T17:41:13+00:00",
+  "generated_at_utc": "2026-06-13T18:14:32+00:00",
   "status": "pass",
   "decision": "full_parameter_feasible_for_guarded_short_runs_not_promoted",
-  "interpretation": "The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 128 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
+  "interpretation": "The full-parameter gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 256 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
   "aggregate": {
     "run_count": 7,
     "passed_run_count": 6,
@@ -212,7 +212,7 @@
       "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/training_metadata.json",
       "progress_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/progress.jsonl",
       "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
-      "purpose": "post_verified_qwen_v5_full_parameter_feasibility_pilot",
+      "purpose": "post_verified_qwen_v6_full_parameter_feasibility_pilot",
       "tuning_mode": "full",
       "training_objective": "structured_episode_understanding_json_qa",
       "num_processes": 8,
@@ -243,7 +243,7 @@
     "public_summary_allowed": true,
     "publish_full_parameter_weights": false,
     "publish_full_checkpoints": false,
-    "reason": "All completed 2026-06-09 full-parameter runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only."
+    "reason": "All completed full-parameter gate runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only."
   },
   "next_steps": [
     "Keep the verified Qwen3-Omni LoRA adapter as the published production result for the 128-episode suite.",

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:50+00:00",
+  "generated_at_utc": "2026-06-13T18:15:01+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:47+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:47+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,45 +64,45 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Egocentric Action Recognition",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -184,45 +184,45 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Temporal Subtask Recognition",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -304,45 +304,45 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Temporal Action Segmentation",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
@@ -422,45 +422,45 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_research_name_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
@@ -540,45 +540,45 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "3D Hand Motion Forecasting",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
@@ -658,45 +658,45 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Human-Object Contact Prediction",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
@@ -774,45 +774,45 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
@@ -892,45 +892,45 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Language-to-Moment Grounding",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
@@ -1008,45 +1008,45 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Representation Retrieval",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
@@ -1126,45 +1126,45 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Modality Feature Reconstruction",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
@@ -1244,45 +1244,45 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
       "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
@@ -1360,45 +1360,45 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:49+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -293,7 +293,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 543559,
+      "bytes": 548183,
       "top_level_type": "dict"
     },
     {
@@ -348,7 +348,7 @@
     },
     {
       "path": "data/qwen3_full_parameter_gates.json",
-      "bytes": 12183,
+      "bytes": 12181,
       "top_level_type": "dict"
     },
     {

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-13T17:46:38+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+00:00",
   "status": "pass",
   "artifact_count": 162,
   "missing": [],
@@ -263,8 +263,8 @@
       "surface": "repo_hf",
       "shows": "Summarizes the 2026-06-09 full-parameter FSDP feasibility gates: 1/8/32/64-step guarded runs passed, the 128-step opportunistic pilot was preempted for Qwen v5 handoff, and no full checkpoints or weights are published.",
       "exists": true,
-      "bytes": 3253,
-      "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+      "bytes": 3251,
+      "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
     },
     {
       "id": "qwen3_full_parameter_gates_json",
@@ -274,8 +274,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable summary of full-parameter feasibility evidence and publication policy for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 12183,
-      "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+      "bytes": 12181,
+      "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
     },
     {
       "id": "qwen3_v5_v6_comparison",
@@ -307,8 +307,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the full-parameter feasibility-gate Markdown and JSON summaries from the run-local evidence files.",
       "exists": true,
-      "bytes": 15876,
-      "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+      "bytes": 16013,
+      "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
     },
     {
       "id": "qwen3_full_parameter_post_verified_deferrer",
@@ -440,7 +440,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "0d0d381f726c1e3787fb3fb15b6fb8879512c26fa0dc06fb943e1a239b0063dd"
+      "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
     },
     {
       "id": "source_alignment_validator",
@@ -876,7 +876,7 @@
       "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": 543559,
+      "bytes": 548183,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1142,7 +1142,7 @@
       "shows": "Reader-facing comparison of the single-episode task suite, 128-episode aligned baselines, Qwen3-Omni packages, and Cosmos3 future-window branch.",
       "exists": true,
       "bytes": 15999,
-      "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+      "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
     },
     {
       "id": "omni_model_comparison_json",
@@ -1153,7 +1153,7 @@
       "shows": "Machine-readable comparison of the current result versions, per-task aligned baselines, verified Qwen3 packages, and Cosmos3 package.",
       "exists": true,
       "bytes": 81866,
-      "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+      "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
     },
     {
       "id": "cosmos3_nano_verified_summary",

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:47:14+00:00",
+  "generated_at_utc": "2026-06-13T18:15:44+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 366,
@@ -139,44 +139,44 @@
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
         "bytes": 88913,
-        "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+        "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model_data": {
           "path": "hf_model:data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
           "bytes": 88913,
-          "sha256": "ad08fe33d7563a5be1a92158fb6e86c28ca990d6009cbef62d8c0bb616cf5ff6"
+          "sha256": "4da0bebd2bbf90ab73e092a546a20395a8cab420d0d5fb88a227be0848299c38"
         }
       },
       "failures": []
@@ -580,44 +580,44 @@
         "path": "repo:docs/data/omni_model_comparison.json",
         "exists": true,
         "bytes": 81866,
-        "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+        "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model_data": {
           "path": "hf_model:data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         },
         "hf_model": {
           "path": "hf_model:metrics/omni_model_comparison.json",
           "exists": true,
           "bytes": 81866,
-          "sha256": "191125098a66ecccfa27395c0f9776616f74b4bf8fb19f16b75cda7ed06cb4b2"
+          "sha256": "1c9d4ba370661b0e0cb7104e9a51abdc3fe91a440ae86e748b10b719d1d613cc"
         }
       },
       "failures": []
@@ -825,44 +825,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 7591,
-        "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+        "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "5670d3c1f7592d96a342d4b6cd2f2cedfbe29ac309db282f2082fc2414f4469a"
+          "sha256": "d636422df4e5ec7d2aa1a3e0c55fe0effb161e1e75d24fe13f661aa8de98c8be"
         }
       },
       "failures": []
@@ -874,44 +874,44 @@
         "path": "repo:docs/data/public_surface_qa.json",
         "exists": true,
         "bytes": 5640,
-        "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+        "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model_data": {
           "path": "hf_model:data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         },
         "hf_model": {
           "path": "hf_model:metrics/public_surface_qa.json",
           "exists": true,
           "bytes": 5640,
-          "sha256": "e4557f23f199b87063d8a97aca64253d58bed5be3538a51526ac86ce3258ee7c"
+          "sha256": "3d5f12f1f2e883054494ffce168aa00298812547ada8dec7794178397c25660b"
         }
       },
       "failures": []
@@ -922,45 +922,45 @@
       "local": {
         "path": "repo:docs/data/qwen3_full_parameter_gates.json",
         "exists": true,
-        "bytes": 12183,
-        "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+        "bytes": 12181,
+        "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model_data": {
           "path": "hf_model:data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         },
         "hf_model": {
           "path": "hf_model:metrics/qwen3_full_parameter_gates.json",
           "exists": true,
-          "bytes": 12183,
-          "sha256": "d051608d3428645778f721e538af93566ab772871a825ac12825dd5f18e94a95"
+          "bytes": 12181,
+          "sha256": "265bbd21617547445a9a93eaf2d2d5256bd2c287affadc80ece50538f0ad4371"
         }
       },
       "failures": []
@@ -1021,44 +1021,44 @@
         "path": "repo:docs/data/quality_gates.json",
         "exists": true,
         "bytes": 8097,
-        "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+        "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model_data": {
           "path": "hf_model:data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         },
         "hf_model": {
           "path": "hf_model:metrics/quality_gates.json",
           "exists": true,
           "bytes": 8097,
-          "sha256": "1cdc8b4767b3ca88eada654a3117aa2de253fea7af62573b080088e8f1b311bd"
+          "sha256": "e2a017b06001e665b9332d37b1f6dcd754d64acc4cf2ac2b2b1d1c09ac869897"
         }
       },
       "failures": []
@@ -1413,44 +1413,44 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 21795,
-        "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+        "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model_data": {
           "path": "hf_model:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         },
         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "289f6522b8d7dd8efd98cd1fa5cf0e766710439b4caac9cd634973abfdc73846"
+          "sha256": "cc392cd56dbbfe4af1eb780e1862a205f3b6a40576b0a47921a0c935adac9f34"
         }
       },
       "failures": []
@@ -1511,44 +1511,44 @@
         "path": "repo:docs/data/source_alignment_audit.json",
         "exists": true,
         "bytes": 4432,
-        "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+        "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model_data": {
           "path": "hf_model:data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         },
         "hf_model": {
           "path": "hf_model:metrics/source_alignment_audit.json",
           "exists": true,
           "bytes": 4432,
-          "sha256": "b277329512546c334ce68deda9d7d2c8f6e5df3e04a28b5a2fcc6fd7aa5036dd"
+          "sha256": "3f8407b1d6c5895aec79e66c9ad0f0867fa74d116bd6071e04f75fc8960917d4"
         }
       },
       "failures": []
@@ -1658,44 +1658,44 @@
         "path": "repo:docs/data/task_surface_integrity.json",
         "exists": true,
         "bytes": 45779,
-        "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+        "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model_data": {
           "path": "hf_model:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         },
         "hf_model": {
           "path": "hf_model:metrics/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "71efc018d2ccb2ce4d2efc67adca9cae4e25b23b1abd96ca1cbb0ff7fc578f9b"
+          "sha256": "0a3ac25a89535e733789e9f5cc4fe3cf70947029ebf82ab01c978825e75d6599"
         }
       },
       "failures": []
@@ -1756,44 +1756,44 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 15774,
-        "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+        "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model_data": {
           "path": "hf_model:data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 15774,
-          "sha256": "baafcf64bfdb562f588d5f8d2c6ee1a3cb7f381de50e6f8d9400409e07cc7116"
+          "sha256": "589e269b1a927f6e1db50e422b006a970a83bc7978a691b31c8627c221925189"
         }
       },
       "failures": []
@@ -2594,21 +2594,21 @@
       "local": {
         "path": "repo:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
         "exists": true,
-        "bytes": 15876,
-        "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+        "bytes": 16013,
+        "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
           "exists": true,
-          "bytes": 15876,
-          "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+          "bytes": 16013,
+          "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
         },
         "hf_model": {
           "path": "hf_model:scripts/omni/build_qwen3_full_parameter_gate_summary.py",
           "exists": true,
-          "bytes": 15876,
-          "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
+          "bytes": 16013,
+          "sha256": "da01bb1a547259ea471e04df23d8f3d0544f4d7cfffbfd76b35344270beb1797"
         }
       },
       "failures": []
@@ -3781,26 +3781,26 @@
         "path": "repo:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
         "exists": true,
         "bytes": 15999,
-        "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+        "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         },
         "hf_model": {
           "path": "hf_model:results/omni_finetune/OMNI_MODEL_COMPARISON.md",
           "exists": true,
           "bytes": 15999,
-          "sha256": "d5a7118a878b202adbc50e3436bbe134e5de139f2a9e97176efe9ecc0f446088"
+          "sha256": "30053bdea6c417ab02f98d99d8e80cd7e304bc3a9dfacbf599139d3221c02c8f"
         }
       },
       "failures": []
@@ -3811,27 +3811,27 @@
       "local": {
         "path": "repo:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
         "exists": true,
-        "bytes": 3253,
-        "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+        "bytes": 3251,
+        "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         },
         "hf_model": {
           "path": "hf_model:results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md",
           "exists": true,
-          "bytes": 3253,
-          "sha256": "b25f1d8cde814207b4c3234bf07140cf99a0ede29af3f53dbc146aab464e8a9b"
+          "bytes": 3251,
+          "sha256": "47ed28deb8fda3c7a0c3b0df9e39211e42e4d5d50cac26af5519459e637f56db"
         }
       },
       "failures": []

docs/data/omni_model_comparison.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
-  "generated_at_utc": "2026-06-13T17:41:35+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+00:00",
   "status": "pass",
   "version_count": 3,
   "model_group_count": 5,

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:37+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+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": "2026-06-13T17:46:31+00:00"
+          "generated_at_utc": "2026-06-13T17:46:49+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:42:17+00:00"
+          "generated_at_utc": "2026-06-13T17:46:47+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:42:17+00:00"
+          "generated_at_utc": "2026-06-13T17:46:47+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:46:07+00:00"
+          "generated_at_utc": "2026-06-13T17:46:50+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-13T17:44:16+00:00"
+          "generated_at_utc": "2026-06-13T17:46:58+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-12T18:14:59+00:00"
+          "generated_at_utc": "2026-06-13T17:47:14+00:00"
         },
         "live_publication": {
           "exists": true,

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:58+00:00",
+  "generated_at_utc": "2026-06-13T18:15:14+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -198,8 +198,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 700,
-      "text_file_count": 571,
+      "file_count": 703,
+      "text_file_count": 574,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 2581,
-      "text_file_count": 738,
+      "file_count": 1745,
+      "text_file_count": 742,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -220,8 +220,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 3239,
-      "text_file_count": 893,
+      "file_count": 2171,
+      "text_file_count": 898,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:37+00:00",
+  "generated_at_utc": "2026-06-13T18:14:42+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/qwen3_full_parameter_gates.json

@@ -1,9 +1,9 @@
 {
   "title": "Qwen3-Omni Full-Parameter Feasibility Gates",
-  "generated_at_utc": "2026-06-13T17:41:13+00:00",
+  "generated_at_utc": "2026-06-13T18:14:32+00:00",
   "status": "pass",
   "decision": "full_parameter_feasible_for_guarded_short_runs_not_promoted",
-  "interpretation": "The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 128 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
+  "interpretation": "The full-parameter gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 256 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
   "aggregate": {
     "run_count": 7,
     "passed_run_count": 6,
@@ -212,7 +212,7 @@
       "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/training_metadata.json",
       "progress_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/progress.jsonl",
       "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
-      "purpose": "post_verified_qwen_v5_full_parameter_feasibility_pilot",
+      "purpose": "post_verified_qwen_v6_full_parameter_feasibility_pilot",
       "tuning_mode": "full",
       "training_objective": "structured_episode_understanding_json_qa",
       "num_processes": 8,
@@ -243,7 +243,7 @@
     "public_summary_allowed": true,
     "publish_full_parameter_weights": false,
     "publish_full_checkpoints": false,
-    "reason": "All completed 2026-06-09 full-parameter runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only."
+    "reason": "All completed full-parameter gate runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only."
   },
   "next_steps": [
     "Keep the verified Qwen3-Omni LoRA adapter as the published production result for the 128-episode suite.",

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:50+00:00",
+  "generated_at_utc": "2026-06-13T18:15:01+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:47+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+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": "2026-06-13T17:46:47+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,45 +64,45 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Egocentric Action Recognition",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -184,45 +184,45 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Temporal Subtask Recognition",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -304,45 +304,45 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Temporal Action Segmentation",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
@@ -422,45 +422,45 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_research_name_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
@@ -540,45 +540,45 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "3D Hand Motion Forecasting",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
@@ -658,45 +658,45 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Human-Object Contact Prediction",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
@@ -774,45 +774,45 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
@@ -892,45 +892,45 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Language-to-Moment Grounding",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
@@ -1008,45 +1008,45 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Representation Retrieval",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
@@ -1126,45 +1126,45 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Modality Feature Reconstruction",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
@@ -1244,45 +1244,45 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
       "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
@@ -1360,45 +1360,45 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T17:46:49+00:00",
+  "generated_at_utc": "2026-06-13T18:15:00+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -293,7 +293,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 543559,
+      "bytes": 548183,
       "top_level_type": "dict"
     },
     {
@@ -348,7 +348,7 @@
     },
     {
       "path": "data/qwen3_full_parameter_gates.json",
-      "bytes": 12183,
+      "bytes": 12181,
       "top_level_type": "dict"
     },
     {

results/omni_finetune/OMNI_MODEL_COMPARISON.md

@@ -1,6 +1,6 @@
 # Omni Model Comparison
 
-Generated: `2026-06-13T17:41:35+00:00`
+Generated: `2026-06-13T18:14:42+00:00`
 
 Compare only rows with the same scope and target. Single-episode raw-feature metrics, 128-episode metadata baselines, Qwen3 structured JSON metrics, and the two Cosmos3 targets answer different questions: Nano future-window retrieval versus Super structured JSON Reasoner evaluation.
 

results/omni_finetune/QWEN3_FULL_PARAMETER_GATES_20260609.md

@@ -1,8 +1,8 @@
 # Qwen3-Omni Full-Parameter Feasibility Gates
 
-Generated: `2026-06-13T17:41:13+00:00`
+Generated: `2026-06-13T18:14:32+00:00`
 
-The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 128 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.
+The full-parameter gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 256 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.
 
 ## Summary
 
@@ -32,7 +32,7 @@ The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, prepare
 - Public summary allowed: `true`
 - Publish full-parameter weights: `false`
 - Publish full checkpoints: `false`
-- Reason: All completed 2026-06-09 full-parameter runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only.
+- Reason: All completed full-parameter gate runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only.
 
 ## Next Steps
 

scripts/omni/build_qwen3_full_parameter_gate_summary.py

@@ -159,7 +159,11 @@ def row_from_metadata(config: dict[str, Any]) -> dict[str, Any]:
         "summary_path": rel(metadata_path),
         "progress_path": rel(progress_path),
         "run_id": payload.get("run_id"),
-        "purpose": "post_verified_qwen_v5_full_parameter_feasibility_pilot",
+        "purpose": (
+            "post_verified_qwen_v6_full_parameter_feasibility_pilot"
+            if "qwen_v6" in config["id"]
+            else "post_verified_qwen_v5_full_parameter_feasibility_pilot"
+        ),
         "tuning_mode": payload.get("tuning_mode"),
         "training_objective": payload.get("backbone", {}).get("training_objective")
         if isinstance(payload.get("backbone"), dict)
@@ -252,9 +256,9 @@ def build_payload() -> dict[str, Any]:
         "status": "pass" if len(passed) >= 5 and len(preempted) <= 1 and not missing_or_review else "review",
         "decision": "full_parameter_feasible_for_guarded_short_runs_not_promoted",
         "interpretation": (
-            "The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, "
+            "The full-parameter gates prove that Qwen3-Omni full-parameter FSDP can load, "
             "prepare, run backward/optimizer steps, and complete guarded pilots up to "
-            "128 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and "
+            "256 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and "
             "they intentionally save no full checkpoints or public weights."
         ),
         "aggregate": {
@@ -273,7 +277,7 @@ def build_payload() -> dict[str, Any]:
             "public_summary_allowed": True,
             "publish_full_parameter_weights": False,
             "publish_full_checkpoints": False,
-            "reason": "All completed 2026-06-09 full-parameter runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only.",
+            "reason": "All completed full-parameter gate runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only.",
         },
         "next_steps": [
             "Keep the verified Qwen3-Omni LoRA adapter as the published production result for the 128-episode suite.",