Publish final audit data refresh to data

data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "fail",
-  "generated_at_utc": "2026-06-12T16:52:50+00:00",
+  "generated_at_utc": "2026-06-12T17:59:04+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 363,
@@ -831,45 +831,45 @@
       "local": {
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
-        "bytes": 7590,
-        "sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
+        "bytes": 7591,
+        "sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
         },
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           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
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         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
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         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7590,
-          "sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
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       "failures": [
@@ -877,43 +877,43 @@
           "surface": "hf_space",
           "kind": "hash_mismatch",
           "path": "hf_space:data/publication_audit.json",
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-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "expected_sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588",
+          "actual_sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
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           "surface": "hf_artifacts_data",
           "kind": "hash_mismatch",
           "path": "hf_artifacts:data/publication_audit.json",
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-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "expected_sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588",
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           "surface": "hf_artifacts",
           "kind": "hash_mismatch",
           "path": "hf_artifacts:docs/data/publication_audit.json",
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-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "expected_sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588",
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           "surface": "hf_model_data",
           "kind": "hash_mismatch",
           "path": "hf_model:data/publication_audit.json",
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-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "expected_sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588",
+          "actual_sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
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           "surface": "hf_model_docs_data",
           "kind": "hash_mismatch",
           "path": "hf_model:docs/data/publication_audit.json",
-          "expected_sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3",
-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
+          "expected_sha256": "5f983a5538a74fd4ba0d65f7e3d49661cf97dc9809a3706056714fb897fe2588",
+          "actual_sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3"
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           "surface": "hf_model",
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           "path": "hf_model:metrics/publication_audit.json",
-          "expected_sha256": "7e7f3123df358d70ddd5882a6a398ff752e68e1e1b1aaaba3e3c35ee2b8a06a3",
-          "actual_sha256": "9060a0e31c797e01ef2fb152965bb5d1d0bf43b161f0e96baa13a254f45a8048"
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       ]
     },
@@ -1414,44 +1414,44 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 21325,
-        "sha256": "eef8a2c648d3397660f2c0b3465992de0e0d49e7f8f3a1cc3690aa5183214f9d"
+        "sha256": "3cfe782721ea62c8c3ab61e8eafe56c55f25483a2c0d16d0e3778c60adfb4309"
       },
       "mirrors": {
         "hf_space": {
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           "exists": true,
           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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           "exists": true,
           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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           "bytes": 21325,
-          "sha256": "bc662590d2e3cb639af121641dd3d25c16a1da9d2d303c452d52193b28998e2d"
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       "failures": [
@@ -1459,43 +1459,43 @@
           "surface": "hf_space",
           "kind": "hash_mismatch",
           "path": "hf_space:data/scope_claims_audit.json",
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           "path": "hf_artifacts:data/scope_claims_audit.json",
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           "surface": "hf_model",
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@@ -1555,44 +1555,44 @@
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         "exists": true,
         "bytes": 4432,
-        "sha256": "88dec2c0ca38207cae18f1f13eb92f0a238fd95f152bf319f59f27670c456828"
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           "bytes": 4432,
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@@ -1600,43 +1600,43 @@
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       "path": "hf_artifacts:docs/data/source_alignment_audit.json",
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       "group": "data/source_alignment_audit.json",
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       "path": "hf_model:docs/data/source_alignment_audit.json",
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       "path": "hf_space:data/task_surface_integrity.json",
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       "path": "hf_model:docs/data/task_surface_integrity.json",
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     {
       "group": "data/website_integrity.json",
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       "kind": "hash_mismatch",
       "path": "hf_space:data/website_integrity.json",
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     {
       "group": "data/website_integrity.json",
       "surface": "hf_artifacts_data",
       "kind": "hash_mismatch",
       "path": "hf_artifacts:data/website_integrity.json",
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     {
       "group": "data/website_integrity.json",
       "surface": "hf_artifacts",
       "kind": "hash_mismatch",
       "path": "hf_artifacts:docs/data/website_integrity.json",
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-      "actual_sha256": "f1a6189ad70e36e7f382e8231363d7800cd393319625ede04090c9aecc88b489"
+      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
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     {
       "group": "data/website_integrity.json",
       "surface": "hf_model_data",
       "kind": "hash_mismatch",
       "path": "hf_model:data/website_integrity.json",
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-      "actual_sha256": "f1a6189ad70e36e7f382e8231363d7800cd393319625ede04090c9aecc88b489"
+      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
+      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
     },
     {
       "group": "data/website_integrity.json",
       "surface": "hf_model_docs_data",
       "kind": "hash_mismatch",
       "path": "hf_model:docs/data/website_integrity.json",
-      "expected_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d",
-      "actual_sha256": "f1a6189ad70e36e7f382e8231363d7800cd393319625ede04090c9aecc88b489"
+      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
+      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
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     {
       "group": "data/website_integrity.json",
       "surface": "hf_model",
       "kind": "hash_mismatch",
       "path": "hf_model:metrics/website_integrity.json",
-      "expected_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d",
-      "actual_sha256": "f1a6189ad70e36e7f382e8231363d7800cd393319625ede04090c9aecc88b489"
+      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
+      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
     }
   ]
 }

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T16:52:48+00:00",
+  "generated_at_utc": "2026-06-12T17:59:02+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 890,
-      "text_file_count": 737,
+      "file_count": 2581,
+      "text_file_count": 738,
       "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": 1080,
-      "text_file_count": 892,
+      "file_count": 3239,
+      "text_file_count": 893,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T16:51:45+00:00",
+  "generated_at_utc": "2026-06-12T17:58:56+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": "2026-06-12T16:51:45+00:00",
+  "generated_at_utc": "2026-06-12T17:58:56+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": "2026-06-12T16:51:45+00:00",
+  "generated_at_utc": "2026-06-12T17:58:56+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,21 +64,15 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Egocentric Action Recognition",
-      "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": []
     },
     {
@@ -94,15 +88,21 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Action Recognition",
+      "raw_hits": []
+    },
+    {
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
@@ -184,21 +184,15 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Temporal Subtask Recognition",
-      "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": []
     },
     {
@@ -214,15 +208,21 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Procedure Step Recognition",
+      "raw_hits": []
+    },
+    {
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
@@ -304,21 +304,15 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Temporal Action Segmentation",
-      "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": []
     },
     {
@@ -334,15 +328,21 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "Action Boundary Detection",
+      "raw_hits": []
+    },
+    {
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
@@ -422,21 +422,15 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
-      "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": []
     },
     {
@@ -452,15 +446,21 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "Next-Action Prediction",
+      "raw_hits": []
+    },
+    {
+      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
@@ -540,21 +540,15 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "3D Hand Motion Forecasting",
-      "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": []
     },
     {
@@ -570,15 +564,21 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "Hand Trajectory Forecasting",
+      "raw_hits": []
+    },
+    {
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
@@ -658,21 +658,15 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Human-Object Contact Prediction",
-      "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": []
     },
     {
@@ -688,15 +682,21 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "Contact State Prediction",
+      "raw_hits": []
+    },
+    {
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
@@ -774,21 +774,15 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
-      "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": []
     },
     {
@@ -804,15 +798,21 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "Object Relevance Prediction",
+      "raw_hits": []
+    },
+    {
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
@@ -892,21 +892,15 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Language-to-Moment Grounding",
-      "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": []
     },
     {
@@ -922,15 +916,21 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "Language Grounding",
+      "raw_hits": []
+    },
+    {
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
@@ -1008,21 +1008,15 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Multimodal Representation Retrieval",
-      "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": []
     },
     {
@@ -1038,15 +1032,21 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "Cross-Modal Retrieval",
+      "raw_hits": []
+    },
+    {
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
@@ -1126,21 +1126,15 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Modality Feature Reconstruction",
-      "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": []
     },
     {
@@ -1156,15 +1150,21 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "Cross-Modal Reconstruction",
+      "raw_hits": []
+    },
+    {
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
@@ -1244,21 +1244,15 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Temporal Order Verification",
-      "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": []
     },
     {
@@ -1274,15 +1268,21 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "Temporal Order Verification",
+      "raw_hits": []
+    },
+    {
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
@@ -1360,21 +1360,15 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
-      "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
-      "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": []
     },
     {
@@ -1390,15 +1384,21 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "Multimodal Synchronization Detection",
+      "raw_hits": []
+    },
+    {
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "status": "pass",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T16:52:42+00:00",
+  "generated_at_utc": "2026-06-12T17:58:57+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -293,7 +293,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 521789,
+      "bytes": 543559,
       "top_level_type": "dict"
     },
     {