Update Qwen3-Omni error-analysis next steps

data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-06T14:53:45+00:00",
+  "generated_at_utc": "2026-06-06T15:24:58+00:00",
   "status": "pass",
   "artifact_count": 86,
   "missing": [],

data/mirror_parity.json

@@ -1,20 +1,16 @@
 {
-  "status": "fail",
-  "generated_at_utc": "2026-06-06T14:55:21+00:00",
+  "status": "pass",
+  "generated_at_utc": "2026-06-06T14:56:44+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 114,
-    "failure_count": 32,
-    "failures_by_surface": {
-      "hf_space": 10,
-      "hf_artifacts": 11,
-      "hf_model": 11
-    }
+    "failure_count": 0,
+    "failures_by_surface": {}
   },
   "checks": [
     {
       "name": "repo_hf_space_artifact_model_data_parity",
-      "status": "fail"
+      "status": "pass"
     },
     {
       "name": "repo_hf_visual_asset_parity",
@@ -22,7 +18,7 @@
     },
     {
       "name": "repo_hf_validator_script_parity",
-      "status": "fail"
+      "status": "pass"
     },
     {
       "name": "repo_hf_website_html_parity",
@@ -30,7 +26,7 @@
     },
     {
       "name": "repo_hf_diagnostic_result_parity",
-      "status": "fail"
+      "status": "pass"
     },
     {
       "name": "repo_hf_quality_doc_parity",
@@ -102,7 +98,7 @@
     },
     {
       "name": "data/artifact_index.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
@@ -114,44 +110,22 @@
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
+          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
+          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
+          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
         }
       },
-      "failures": [
-        {
-          "surface": "hf_space",
-          "kind": "hash_mismatch",
-          "path": "hf_space:data/artifact_index.json",
-          "expected_sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0",
-          "actual_sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
-        },
-        {
-          "surface": "hf_artifacts",
-          "kind": "hash_mismatch",
-          "path": "hf_artifacts:docs/data/artifact_index.json",
-          "expected_sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0",
-          "actual_sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
-        },
-        {
-          "surface": "hf_model",
-          "kind": "hash_mismatch",
-          "path": "hf_model:metrics/artifact_index.json",
-          "expected_sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0",
-          "actual_sha256": "2563b854f81b07bfde2880647d0145b511be071a1a274fe1e909ce2be7ce43e1"
-        }
-      ]
+      "failures": []
     },
     {
       "name": "data/brand_assets.json",
@@ -527,7 +501,7 @@
     },
     {
       "name": "data/publication_audit.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
@@ -539,44 +513,22 @@
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7237,
-          "sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
+          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7237,
-          "sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
+          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7237,
-          "sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
+          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
         }
       },
-      "failures": [
-        {
-          "surface": "hf_space",
-          "kind": "hash_mismatch",
-          "path": "hf_space:data/publication_audit.json",
-          "expected_sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d",
-          "actual_sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
-        },
-        {
-          "surface": "hf_artifacts",
-          "kind": "hash_mismatch",
-          "path": "hf_artifacts:docs/data/publication_audit.json",
-          "expected_sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d",
-          "actual_sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
-        },
-        {
-          "surface": "hf_model",
-          "kind": "hash_mismatch",
-          "path": "hf_model:metrics/publication_audit.json",
-          "expected_sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d",
-          "actual_sha256": "a1741a97c2fb5dee8b9ed8e988b31530128e4fab8b8c458cb8f381e2ad16756c"
-        }
-      ]
+      "failures": []
     },
     {
       "name": "data/public_surface_qa.json",
@@ -859,7 +811,7 @@
     },
     {
       "name": "data/scope_claims_audit.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
@@ -871,44 +823,22 @@
           "path": "hf_space:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 20823,
-          "sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
+          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 20823,
-          "sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
+          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
         },
         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 20823,
-          "sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
+          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
         }
       },
-      "failures": [
-        {
-          "surface": "hf_space",
-          "kind": "hash_mismatch",
-          "path": "hf_space:data/scope_claims_audit.json",
-          "expected_sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3",
-          "actual_sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
-        },
-        {
-          "surface": "hf_artifacts",
-          "kind": "hash_mismatch",
-          "path": "hf_artifacts:docs/data/scope_claims_audit.json",
-          "expected_sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3",
-          "actual_sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
-        },
-        {
-          "surface": "hf_model",
-          "kind": "hash_mismatch",
-          "path": "hf_model:metrics/scope_claims_audit.json",
-          "expected_sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3",
-          "actual_sha256": "4fb8c088f8ec533b142534b37e9241f8690c8819333434f5d89336c2af8c1c31"
-        }
-      ]
+      "failures": []
     },
     {
       "name": "data/single_episode_explorer.json",
@@ -1005,7 +935,7 @@
     },
     {
       "name": "data/task_surface_integrity.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/task_surface_integrity.json",
         "exists": true,
@@ -1017,44 +947,22 @@
           "path": "hf_space:data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
+          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
+          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
         },
         "hf_model": {
           "path": "hf_model:metrics/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
+          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
         }
       },
-      "failures": [
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-          "surface": "hf_space",
-          "kind": "hash_mismatch",
-          "path": "hf_space:data/task_surface_integrity.json",
-          "expected_sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6",
-          "actual_sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
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-        {
-          "surface": "hf_artifacts",
-          "kind": "hash_mismatch",
-          "path": "hf_artifacts:docs/data/task_surface_integrity.json",
-          "expected_sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6",
-          "actual_sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
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-        {
-          "surface": "hf_model",
-          "kind": "hash_mismatch",
-          "path": "hf_model:metrics/task_surface_integrity.json",
-          "expected_sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6",
-          "actual_sha256": "51c30fe86c558042960e57a252bc6d3c67d95d5a70a8747043a1cdffe57cf53f"
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-      ]
+      "failures": []
     },
     {
       "name": "data/task_walkthroughs.json",
@@ -1089,7 +997,7 @@
     },
     {
       "name": "data/website_integrity.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
@@ -1101,44 +1009,22 @@
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "140d8be179f51351ae55ba7587b7042a1e512e72d9318563a78c96a25e13f830"
+          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "140d8be179f51351ae55ba7587b7042a1e512e72d9318563a78c96a25e13f830"
+          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "140d8be179f51351ae55ba7587b7042a1e512e72d9318563a78c96a25e13f830"
+          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
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-      "failures": [
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-          "path": "hf_space:data/website_integrity.json",
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-          "actual_sha256": "140d8be179f51351ae55ba7587b7042a1e512e72d9318563a78c96a25e13f830"
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-      ]
+      "failures": []
     },
     {
       "name": "data/xperience10m_dataset_card_alignment.json",
@@ -1839,7 +1725,7 @@
     },
     {
       "name": "scripts/omni/analyze_qwen3_omni_errors.py",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:scripts/omni/analyze_qwen3_omni_errors.py",
         "exists": true,
@@ -1850,32 +1736,17 @@
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           "path": "hf_artifacts:scripts/omni/analyze_qwen3_omni_errors.py",
           "exists": true,
-          "bytes": 15655,
-          "sha256": "e90ffd4bb75b001ab41cd956dfbb0a99b574d0b5e8ffc1a64e2887490d658daa"
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+          "sha256": "d4c7e46d9fbd5f9d84bc32374f457fd8c9d68c8faa39c77bc45770eb95d80337"
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         "hf_model": {
           "path": "hf_model:scripts/omni/analyze_qwen3_omni_errors.py",
           "exists": true,
-          "bytes": 15655,
-          "sha256": "e90ffd4bb75b001ab41cd956dfbb0a99b574d0b5e8ffc1a64e2887490d658daa"
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-      "failures": [
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-          "kind": "hash_mismatch",
-          "path": "hf_artifacts:scripts/omni/analyze_qwen3_omni_errors.py",
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+      "failures": []
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     {
       "name": "scripts/audio_ablation_and_raw_upgrade.py",
@@ -3025,7 +2896,7 @@
     },
     {
       "name": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/episode_error_analysis.csv",
-      "status": "fail",
+      "status": "pass",
       "local": {
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         "exists": true,
@@ -3036,49 +2907,27 @@
         "hf_space": {
           "path": "hf_space:results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/analysis/episode_error_analysis.csv",
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+  "failures": []
 }

data/omni_finetune_verified_result.json

@@ -92,7 +92,7 @@
   },
   "required_next_steps": [
     "Improve JSON-format reliability through prompt, decoding, constrained parsing, or target formatting changes.",
-    "Add error analysis by episode, action family, object category, and missing-modality state.",
+    "Use the published held-out error analysis to prioritize JSON constraints, action/subtask formatting, object vocabulary handling, and missing-modality robustness.",
     "Run a second validation-aware Qwen3-Omni pass only after the JSON/output contract is tightened.",
     "Keep the same verified package contract for Cosmos-style world-model and VLA/policy branches."
   ]

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:02+00:00",
+  "generated_at_utc": "2026-06-06T15:25:25+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:00+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:53:59+00:00",
+  "generated_at_utc": "2026-06-06T15:24:59+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,9 +64,9 @@
       "observed": "timeline_action"
     },
     {
-      "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": []
     },
     {
@@ -76,33 +76,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -184,9 +184,9 @@
       "observed": "timeline_subtask"
     },
     {
-      "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": []
     },
     {
@@ -196,33 +196,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -304,9 +304,9 @@
       "observed": "transition_detection"
     },
     {
-      "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": []
     },
     {
@@ -316,33 +316,33 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
@@ -422,9 +422,9 @@
       "observed": "next_action"
     },
     {
-      "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": []
     },
     {
@@ -434,33 +434,33 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
@@ -540,9 +540,9 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "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": []
     },
     {
@@ -552,33 +552,33 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
@@ -658,9 +658,9 @@
       "observed": "contact_prediction"
     },
     {
-      "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": []
     },
     {
@@ -670,33 +670,33 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
@@ -774,9 +774,9 @@
       "observed": "object_relevance"
     },
     {
-      "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": []
     },
     {
@@ -786,33 +786,33 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
@@ -892,9 +892,9 @@
       "observed": "caption_grounding"
     },
     {
-      "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": []
     },
     {
@@ -904,33 +904,33 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
@@ -1008,9 +1008,9 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "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": []
     },
     {
@@ -1020,33 +1020,33 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
@@ -1126,9 +1126,9 @@
       "observed": "modality_reconstruction"
     },
     {
-      "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": []
     },
     {
@@ -1138,33 +1138,33 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
@@ -1244,9 +1244,9 @@
       "observed": "temporal_order"
     },
     {
-      "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": []
     },
     {
@@ -1256,33 +1256,33 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
@@ -1360,9 +1360,9 @@
       "observed": "misalignment_detection"
     },
     {
-      "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": []
     },
     {
@@ -1372,33 +1372,33 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {

data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:12+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/omni_finetune_verified_result.json",
-      "bytes": 4142,
+      "bytes": 4213,
       "top_level_type": "dict"
     },
     {

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-06T14:53:45+00:00",
+  "generated_at_utc": "2026-06-06T15:24:58+00:00",
   "status": "pass",
   "artifact_count": 86,
   "missing": [],

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:56:44+00:00",
+  "generated_at_utc": "2026-06-06T15:25:45+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 114,
@@ -103,26 +103,26 @@
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
         "bytes": 39486,
-        "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+        "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+          "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+          "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
         },
         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+          "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
         }
       },
       "failures": []
@@ -350,27 +350,27 @@
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-        "bytes": 4142,
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-          "bytes": 4142,
-          "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
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-          "bytes": 4142,
-          "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
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@@ -506,26 +506,26 @@
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         "bytes": 7237,
-        "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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           "bytes": 7237,
-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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           "bytes": 7237,
-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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           "path": "hf_model:metrics/publication_audit.json",
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           "bytes": 7237,
-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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@@ -816,26 +816,26 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 20823,
-        "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
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           "bytes": 20823,
-          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
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         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
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           "bytes": 20823,
-          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
+          "sha256": "41f90360069b24c9a73df0a318ac3d2abff4093d7d726533f470efc2df0e0af3"
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         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 20823,
-          "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
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@@ -940,26 +940,26 @@
         "path": "repo:docs/data/task_surface_integrity.json",
         "exists": true,
         "bytes": 45779,
-        "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
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           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
+          "sha256": "cca9deeddcd4a8ce4ffa3d902e9b0c16c67bb1ac1065c0b2e71caa510a614f0d"
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         "hf_artifacts": {
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           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
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         "hf_model": {
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           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
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@@ -1002,26 +1002,26 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 15221,
-        "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
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docs/data/omni_finetune_verified_result.json

@@ -92,7 +92,7 @@
   },
   "required_next_steps": [
     "Improve JSON-format reliability through prompt, decoding, constrained parsing, or target formatting changes.",
-    "Add error analysis by episode, action family, object category, and missing-modality state.",
+    "Use the published held-out error analysis to prioritize JSON constraints, action/subtask formatting, object vocabulary handling, and missing-modality robustness.",
     "Run a second validation-aware Qwen3-Omni pass only after the JSON/output contract is tightened.",
     "Keep the same verified package contract for Cosmos-style world-model and VLA/policy branches."
   ]

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:02+00:00",
+  "generated_at_utc": "2026-06-06T15:25:25+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:00+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:53:59+00:00",
+  "generated_at_utc": "2026-06-06T15:24:59+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,9 +64,9 @@
       "observed": "timeline_action"
     },
     {
-      "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": []
     },
     {
@@ -76,33 +76,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -184,9 +184,9 @@
       "observed": "timeline_subtask"
     },
     {
-      "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": []
     },
     {
@@ -196,33 +196,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -304,9 +304,9 @@
       "observed": "transition_detection"
     },
     {
-      "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": []
     },
     {
@@ -316,33 +316,33 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
@@ -422,9 +422,9 @@
       "observed": "next_action"
     },
     {
-      "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": []
     },
     {
@@ -434,33 +434,33 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
@@ -540,9 +540,9 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "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": []
     },
     {
@@ -552,33 +552,33 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
@@ -658,9 +658,9 @@
       "observed": "contact_prediction"
     },
     {
-      "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": []
     },
     {
@@ -670,33 +670,33 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
@@ -774,9 +774,9 @@
       "observed": "object_relevance"
     },
     {
-      "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": []
     },
     {
@@ -786,33 +786,33 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
@@ -892,9 +892,9 @@
       "observed": "caption_grounding"
     },
     {
-      "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": []
     },
     {
@@ -904,33 +904,33 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
@@ -1008,9 +1008,9 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "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": []
     },
     {
@@ -1020,33 +1020,33 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
@@ -1126,9 +1126,9 @@
       "observed": "modality_reconstruction"
     },
     {
-      "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": []
     },
     {
@@ -1138,33 +1138,33 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
@@ -1244,9 +1244,9 @@
       "observed": "temporal_order"
     },
     {
-      "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": []
     },
     {
@@ -1256,33 +1256,33 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
@@ -1360,9 +1360,9 @@
       "observed": "misalignment_detection"
     },
     {
-      "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": []
     },
     {
@@ -1372,33 +1372,33 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "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": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:12+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/omni_finetune_verified_result.json",
-      "bytes": 4142,
+      "bytes": 4213,
       "top_level_type": "dict"
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     {

metrics/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-06T14:53:45+00:00",
+  "generated_at_utc": "2026-06-06T15:24:58+00:00",
   "status": "pass",
   "artifact_count": 86,
   "missing": [],

metrics/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:56:44+00:00",
+  "generated_at_utc": "2026-06-06T15:25:45+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 114,
@@ -103,26 +103,26 @@
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
         "bytes": 39486,
-        "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+        "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
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           "exists": true,
           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
+          "sha256": "436d363bd3d726968b1ace6a949ad972644221c8f370709bfbaea5f19890304d"
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           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
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         "hf_model": {
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           "bytes": 39486,
-          "sha256": "87782cd08bc1106d694a727e21333450d2965b48c48f500d1b6f4294d7b247d0"
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@@ -350,27 +350,27 @@
       "local": {
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-        "bytes": 4142,
-        "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
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-          "bytes": 4142,
-          "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
+          "bytes": 4213,
+          "sha256": "33dc8ef02b42070cef3c01283f958b2124a4670b608664627ac4226edaa25f6c"
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         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/omni_finetune_verified_result.json",
           "exists": true,
-          "bytes": 4142,
-          "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
+          "bytes": 4213,
+          "sha256": "33dc8ef02b42070cef3c01283f958b2124a4670b608664627ac4226edaa25f6c"
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         "hf_model": {
           "path": "hf_model:metrics/omni_finetune_verified_result.json",
           "exists": true,
-          "bytes": 4142,
-          "sha256": "297aa6fc86bc09ba7968f3c5c2db265320c0613c5ec9a36701114ba451321b81"
+          "bytes": 4213,
+          "sha256": "33dc8ef02b42070cef3c01283f958b2124a4670b608664627ac4226edaa25f6c"
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@@ -506,26 +506,26 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 7237,
-        "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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           "bytes": 7237,
-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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-          "sha256": "8a21c29d92f3a15b835c37d7784c17fada3edbda050515deed8e440535ed046d"
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@@ -816,26 +816,26 @@
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-        "sha256": "77402dc77c4ecf5cf1e68480ae2c9822a134ae7ef4a24a7b8b9008a2509c2fa3"
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@@ -940,26 +940,26 @@
         "path": "repo:docs/data/task_surface_integrity.json",
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         "bytes": 45779,
-        "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
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           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
+          "sha256": "cca9deeddcd4a8ce4ffa3d902e9b0c16c67bb1ac1065c0b2e71caa510a614f0d"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
+          "sha256": "cca9deeddcd4a8ce4ffa3d902e9b0c16c67bb1ac1065c0b2e71caa510a614f0d"
         },
         "hf_model": {
           "path": "hf_model:metrics/task_surface_integrity.json",
           "exists": true,
           "bytes": 45779,
-          "sha256": "8232e2bafa8b5157d97c018e41be5da3ec69ddb4d2020a0dcc7c6377c5575bb6"
+          "sha256": "cca9deeddcd4a8ce4ffa3d902e9b0c16c67bb1ac1065c0b2e71caa510a614f0d"
         }
       },
       "failures": []
@@ -1002,26 +1002,26 @@
         "path": "repo:docs/data/website_integrity.json",
         "exists": true,
         "bytes": 15221,
-        "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
+        "sha256": "a275708fbdad625e912f2bbf45f9327d0f59b9a891f0950d38d4bea690e3b5b7"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
+          "sha256": "a275708fbdad625e912f2bbf45f9327d0f59b9a891f0950d38d4bea690e3b5b7"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
+          "sha256": "a275708fbdad625e912f2bbf45f9327d0f59b9a891f0950d38d4bea690e3b5b7"
         },
         "hf_model": {
           "path": "hf_model:metrics/website_integrity.json",
           "exists": true,
           "bytes": 15221,
-          "sha256": "dcbd09b4c4522770c43504c500eb653de706538516ee2ec72e491ffc3416c6e2"
+          "sha256": "a275708fbdad625e912f2bbf45f9327d0f59b9a891f0950d38d4bea690e3b5b7"
         }
       },
       "failures": []

metrics/omni_finetune_verified_result.json

@@ -92,7 +92,7 @@
   },
   "required_next_steps": [
     "Improve JSON-format reliability through prompt, decoding, constrained parsing, or target formatting changes.",
-    "Add error analysis by episode, action family, object category, and missing-modality state.",
+    "Use the published held-out error analysis to prioritize JSON constraints, action/subtask formatting, object vocabulary handling, and missing-modality robustness.",
     "Run a second validation-aware Qwen3-Omni pass only after the JSON/output contract is tightened.",
     "Keep the same verified package contract for Cosmos-style world-model and VLA/policy branches."
   ]

metrics/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:02+00:00",
+  "generated_at_utc": "2026-06-06T15:25:25+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

metrics/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:00+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

metrics/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:53:59+00:00",
+  "generated_at_utc": "2026-06-06T15:24:59+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,9 +64,9 @@
       "observed": "timeline_action"
     },
     {
-      "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": []
     },
     {
@@ -76,33 +76,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -184,9 +184,9 @@
       "observed": "timeline_subtask"
     },
     {
-      "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": []
     },
     {
@@ -196,33 +196,33 @@
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
@@ -304,9 +304,9 @@
       "observed": "transition_detection"
     },
     {
-      "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": []
     },
     {
@@ -316,33 +316,33 @@
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
@@ -422,9 +422,9 @@
       "observed": "next_action"
     },
     {
-      "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": []
     },
     {
@@ -434,33 +434,33 @@
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
@@ -540,9 +540,9 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "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": []
     },
     {
@@ -552,33 +552,33 @@
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
@@ -658,9 +658,9 @@
       "observed": "contact_prediction"
     },
     {
-      "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": []
     },
     {
@@ -670,33 +670,33 @@
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
@@ -774,9 +774,9 @@
       "observed": "object_relevance"
     },
     {
-      "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": []
     },
     {
@@ -786,33 +786,33 @@
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
@@ -892,9 +892,9 @@
       "observed": "caption_grounding"
     },
     {
-      "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": []
     },
     {
@@ -904,33 +904,33 @@
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
@@ -1008,9 +1008,9 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "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": []
     },
     {
@@ -1020,33 +1020,33 @@
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
@@ -1126,9 +1126,9 @@
       "observed": "modality_reconstruction"
     },
     {
-      "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": []
     },
     {
@@ -1138,33 +1138,33 @@
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
@@ -1244,9 +1244,9 @@
       "observed": "temporal_order"
     },
     {
-      "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": []
     },
     {
@@ -1256,33 +1256,33 @@
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
@@ -1360,9 +1360,9 @@
       "observed": "misalignment_detection"
     },
     {
-      "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": []
     },
     {
@@ -1372,33 +1372,33 @@
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {

metrics/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-06T14:54:01+00:00",
+  "generated_at_utc": "2026-06-06T15:25:12+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/omni_finetune_verified_result.json",
-      "bytes": 4142,
+      "bytes": 4213,
       "top_level_type": "dict"
     },
     {