Publish pilot256 gate data refresh to metrics

metrics/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-12T16:51:33+00:00",
+  "generated_at_utc": "2026-06-12T18:14:49+00:00",
   "status": "pass",
   "artifact_count": 159,
   "missing": [],
@@ -263,8 +263,8 @@
       "surface": "repo_hf",
       "shows": "Summarizes the 2026-06-09 full-parameter FSDP feasibility gates: 1/8/32/64-step guarded runs passed, the 128-step opportunistic pilot was preempted for Qwen v5 handoff, and no full checkpoints or weights are published.",
       "exists": true,
-      "bytes": 3003,
-      "sha256": "21035e4b2bc997ee0e65f0b1c21ed88cad45fd6a0f077f35cecf5e98b5b1cde1"
+      "bytes": 3253,
+      "sha256": "5c0e49adad861e00bede7f9245808e6e68346e7bc51c0b0142d2b99f944f2408"
     },
     {
       "id": "qwen3_full_parameter_gates_json",
@@ -274,8 +274,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable summary of full-parameter feasibility evidence and publication policy for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 10533,
-      "sha256": "751fc2ec5ef4e4dbc57e3076119dce77323ab6320ee7ca67caedd0c69e986379"
+      "bytes": 12183,
+      "sha256": "50b8b93f0bae34c7fa269ae52d7c2073d6122fdafc9297f380c052d94253bf3f"
     },
     {
       "id": "qwen3_full_parameter_gates_builder",
@@ -285,8 +285,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the full-parameter feasibility-gate Markdown and JSON summaries from the run-local evidence files.",
       "exists": true,
-      "bytes": 15325,
-      "sha256": "55ad8af43484d92d98bd3200ea781929397752cdcc2bfbd8e8160a46cb8a5730"
+      "bytes": 15876,
+      "sha256": "2af61b320744bf367bd6f477371f5e1b24f5201aecfa431f250f6a976f2de8a9"
     },
     {
       "id": "qwen3_full_parameter_post_verified_deferrer",
@@ -307,8 +307,8 @@
       "surface": "repo_hf",
       "shows": "Builds the upload-ready Hugging Face adapter folder from a verified Qwen3 LoRA result summary and adapter directory.",
       "exists": true,
-      "bytes": 11332,
-      "sha256": "e9f9909185c5c647a5df2444d0ce2c3d07dca719fdd92c9bf1c7964e19963fa1"
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+      "sha256": "93e7b0edba5cb37621171706df5e62bb2ecc3f4e6725fc78d24634aca9ac4175"
     },
     {
       "id": "additional_development_directions",
@@ -418,7 +418,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "7486c4e1fdddba18414ca2d84faa88796e211ed8e12af33437a666acd3c6496a"
+      "sha256": "d5ada9ec76cace484a779672d636222f1dfa281135508ff1b5d5eac98908bf60"
     },
     {
       "id": "source_alignment_validator",
@@ -439,8 +439,8 @@
       "surface": "repo_hf",
       "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
       "exists": true,
-      "bytes": 19352,
-      "sha256": "b7eb9bf2abb842bd2f411b395ba6f75bb0a98b86fa35bdedc68430855f0f7da9"
+      "bytes": 20337,
+      "sha256": "1351c20614722fd033b3f5055f53adfbd11aae83449b0bb384d98d49388f18a4"
     },
     {
       "id": "github_package_dockerfile",
@@ -671,7 +671,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8097,
-      "sha256": "4aea62a2dd958af6c9da41084916a0d8161a4b7533e875a38f390fbc76b3fb4d"
+      "sha256": "9b4783b42d0a6f58f2bc36bb7990c86dc85af9d346cb59c90dca402e2c4cf0de"
     },
     {
       "id": "public_surface_qa",
@@ -830,7 +830,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 7590,
+      "bytes": 7591,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -854,7 +854,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 521789,
+      "bytes": 543559,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1119,8 +1119,8 @@
       "surface": "repo_hf",
       "shows": "Reader-facing comparison of the single-episode task suite, 128-episode aligned baselines, Qwen3-Omni packages, and Cosmos3 future-window branch.",
       "exists": true,
-      "bytes": 15368,
-      "sha256": "8299845be7ede957130308facc8a16304fd04f8eba4b7c8e4609d60d54c6e9d5"
+      "bytes": 15731,
+      "sha256": "1ee5621a825219c1125a9c3f3ac779ac8bfa2fc45668531dbee3a728be13bfb5"
     },
     {
       "id": "omni_model_comparison_json",
@@ -1130,8 +1130,8 @@
       "surface": "repo_hf",
       "shows": "Machine-readable comparison of the current result versions, per-task aligned baselines, verified Qwen3 packages, and Cosmos3 package.",
       "exists": true,
-      "bytes": 80354,
-      "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
+      "bytes": 81593,
+      "sha256": "c570f0810dec46f9a14969089245051c2b3a255f074bd9d06f529615fa6fbd73"
     },
     {
       "id": "cosmos3_nano_verified_summary",

metrics/mirror_parity.json

@@ -1,23 +1,16 @@
 {
-  "status": "fail",
-  "generated_at_utc": "2026-06-12T17:59:04+00:00",
+  "status": "pass",
+  "generated_at_utc": "2026-06-12T18:14:59+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 363,
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-    "failures_by_surface": {
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-      "hf_artifacts": 5,
-      "hf_model_data": 5,
-      "hf_model_docs_data": 5,
-      "hf_model": 5
-    }
+    "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",
@@ -146,44 +139,44 @@
         "path": "repo:docs/data/artifact_index.json",
         "exists": true,
         "bytes": 87230,
-        "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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           "path": "hf_artifacts:data/artifact_index.json",
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           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/artifact_index.json",
           "exists": true,
           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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         "hf_model_data": {
           "path": "hf_model:data/artifact_index.json",
           "exists": true,
           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/artifact_index.json",
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           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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         "hf_model": {
           "path": "hf_model:metrics/artifact_index.json",
           "exists": true,
           "bytes": 87230,
-          "sha256": "3dc8e2a44a3d6e3db31179091fc32739b7b7bdf4a12419a143dd5b93ab1c56fd"
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         }
       },
       "failures": []
@@ -586,45 +579,45 @@
       "local": {
         "path": "repo:docs/data/omni_model_comparison.json",
         "exists": true,
-        "bytes": 80354,
-        "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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       "mirrors": {
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           "exists": true,
-          "bytes": 80354,
-          "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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         "hf_artifacts_data": {
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           "exists": true,
-          "bytes": 80354,
-          "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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         "hf_artifacts": {
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           "exists": true,
-          "bytes": 80354,
-          "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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         "hf_model_data": {
           "path": "hf_model:data/omni_model_comparison.json",
           "exists": true,
-          "bytes": 80354,
-          "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/omni_model_comparison.json",
           "exists": true,
-          "bytes": 80354,
-          "sha256": "7162809246031a36869c05bef924b29cc3fa02cf1d53c955d925652004631e53"
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@@ -827,95 +820,52 @@
     },
     {
       "name": "data/publication_audit.json",
-      "status": "fail",
+      "status": "pass",
       "local": {
         "path": "repo:docs/data/publication_audit.json",
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         "bytes": 7591,
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@@ -924,44 +874,44 @@
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@@ -972,45 +922,45 @@
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-      "path": "hf_artifacts:data/task_surface_integrity.json",
-      "expected_sha256": "539183fb6be53c31961820e14ee74e3109f0cd5745a6b0c9550e6c520c01f6a1",
-      "actual_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b"
-    },
-    {
-      "group": "data/task_surface_integrity.json",
-      "surface": "hf_artifacts",
-      "kind": "hash_mismatch",
-      "path": "hf_artifacts:docs/data/task_surface_integrity.json",
-      "expected_sha256": "539183fb6be53c31961820e14ee74e3109f0cd5745a6b0c9550e6c520c01f6a1",
-      "actual_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b"
-    },
-    {
-      "group": "data/task_surface_integrity.json",
-      "surface": "hf_model_data",
-      "kind": "hash_mismatch",
-      "path": "hf_model:data/task_surface_integrity.json",
-      "expected_sha256": "539183fb6be53c31961820e14ee74e3109f0cd5745a6b0c9550e6c520c01f6a1",
-      "actual_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b"
-    },
-    {
-      "group": "data/task_surface_integrity.json",
-      "surface": "hf_model_docs_data",
-      "kind": "hash_mismatch",
-      "path": "hf_model:docs/data/task_surface_integrity.json",
-      "expected_sha256": "539183fb6be53c31961820e14ee74e3109f0cd5745a6b0c9550e6c520c01f6a1",
-      "actual_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b"
-    },
-    {
-      "group": "data/task_surface_integrity.json",
-      "surface": "hf_model",
-      "kind": "hash_mismatch",
-      "path": "hf_model:metrics/task_surface_integrity.json",
-      "expected_sha256": "539183fb6be53c31961820e14ee74e3109f0cd5745a6b0c9550e6c520c01f6a1",
-      "actual_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_space",
-      "kind": "hash_mismatch",
-      "path": "hf_space:data/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_artifacts_data",
-      "kind": "hash_mismatch",
-      "path": "hf_artifacts:data/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_artifacts",
-      "kind": "hash_mismatch",
-      "path": "hf_artifacts:docs/data/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_model_data",
-      "kind": "hash_mismatch",
-      "path": "hf_model:data/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_model_docs_data",
-      "kind": "hash_mismatch",
-      "path": "hf_model:docs/data/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    },
-    {
-      "group": "data/website_integrity.json",
-      "surface": "hf_model",
-      "kind": "hash_mismatch",
-      "path": "hf_model:metrics/website_integrity.json",
-      "expected_sha256": "efc59ee80b831bb39bac9eef672c4180e3c1bd971f34403141010c7f57f285fa",
-      "actual_sha256": "96fdd0269d16c6250e598b824402397717aa8b642d0a2db17e054630846ee55d"
-    }
-  ]
+  "failures": []
 }

metrics/omni_model_comparison.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
-  "generated_at_utc": "2026-06-12T16:51:33+00:00",
+  "generated_at_utc": "2026-06-12T18:14:48+00:00",
   "status": "pass",
   "version_count": 3,
   "model_group_count": 5,
@@ -1041,6 +1041,29 @@
           },
           "weights": "no full-parameter checkpoint or public weights; save_mode=none",
           "interpretation": "Full-parameter FSDP feasibility evidence only. This gate is not a held-out model result, full fine-tune, checkpoint release, or public weight package."
+        },
+        {
+          "id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
+          "title": "Full-Parameter 256-Step Post-Qwen-v6 Pilot",
+          "scope_label": "full-param gate",
+          "scope": "256 optimizer steps over 2048 train samples after verified Qwen v6 handoff",
+          "status": "passed",
+          "source": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/training_metadata.json",
+          "split": "selected 128-episode train split",
+          "counts": {
+            "samples": 2048,
+            "steps": 256,
+            "num_processes": 8
+          },
+          "primary_metrics": {
+            "full_parameter_gate": "passed",
+            "observed_train_steps": 256,
+            "final_step_loss": 0.009560374543070793,
+            "epoch_train_loss": 0.1157912792496063,
+            "checkpoint_saved": false
+          },
+          "weights": "no full-parameter checkpoint or public weights; save_mode=none",
+          "interpretation": "Full-parameter FSDP feasibility evidence only. This gate is not a held-out model result, full fine-tune, checkpoint release, or public weight package."
         }
       ],
       "multi_episode_128_runs": [

metrics/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-12T16:51:33+00:00",
+  "generated_at_utc": "2026-06-12T18:14:49+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:13:59+00:00"
+          "generated_at_utc": "2026-06-12T17:58:57+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:13:21+00:00"
+          "generated_at_utc": "2026-06-12T17:58:56+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:13:21+00:00"
+          "generated_at_utc": "2026-06-12T17:58:56+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:13:36+00:00"
+          "generated_at_utc": "2026-06-12T17:58:56+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:14:07+00:00"
+          "generated_at_utc": "2026-06-12T17:59:02+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:21:04+00:00"
+          "generated_at_utc": "2026-06-12T17:59:14+00:00"
         },
         "live_publication": {
           "exists": true,

metrics/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T17:59:02+00:00",
+  "generated_at_utc": "2026-06-12T18:14:57+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

metrics/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-12T16:51:34+00:00",
+  "generated_at_utc": "2026-06-12T18:14:49+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

metrics/qwen3_full_parameter_gates.json

@@ -1,17 +1,17 @@
 {
   "title": "Qwen3-Omni Full-Parameter Feasibility Gates",
-  "generated_at_utc": "2026-06-12T16:50:05+00:00",
+  "generated_at_utc": "2026-06-12T18:14:48+00:00",
   "status": "pass",
   "decision": "full_parameter_feasible_for_guarded_short_runs_not_promoted",
   "interpretation": "The 2026-06-09 gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 128 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
   "aggregate": {
-    "run_count": 6,
-    "passed_run_count": 5,
+    "run_count": 7,
+    "passed_run_count": 6,
     "preempted_run_count": 1,
     "review_or_missing_run_count": 0,
-    "completed_full_parameter_train_steps": 233,
-    "longest_passed_run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609",
-    "longest_passed_steps": 128,
+    "completed_full_parameter_train_steps": 489,
+    "longest_passed_run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
+    "longest_passed_steps": 256,
     "num_processes": [
       8
     ],
@@ -203,6 +203,40 @@
         "save_skipped": true,
         "complete": true
       }
+    },
+    {
+      "id": "fullparam_pilot256_after_qwen_v6",
+      "title": "Full-Parameter 256-Step Post-Qwen-v6 Pilot",
+      "status": "passed",
+      "scope": "256 optimizer steps over 2048 train samples after verified Qwen v6 handoff",
+      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/training_metadata.json",
+      "progress_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/progress.jsonl",
+      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
+      "purpose": "post_verified_qwen_v5_full_parameter_feasibility_pilot",
+      "tuning_mode": "full",
+      "training_objective": "structured_episode_understanding_json_qa",
+      "num_processes": 8,
+      "num_train_samples": 2048,
+      "configured_max_train_steps": 256,
+      "observed_train_steps": 256,
+      "first_step_loss": 1.2249484062194824,
+      "final_step_loss": 0.009560374543070793,
+      "epoch_train_loss": 0.1157912792496063,
+      "min_step_loss": 0.002165592508390546,
+      "max_step_loss": 1.2249484062194824,
+      "model_load_seconds": null,
+      "accelerator_prepare_seconds": null,
+      "train_loop_seconds": null,
+      "save_mode": "none",
+      "checkpoint_saved": false,
+      "checkpoint_policy": "no full-parameter checkpoint or public weights; save_mode=none",
+      "preempt_event": null,
+      "parent_resume_event": null,
+      "progress_events": {
+        "max_steps_reached": true,
+        "save_skipped": true,
+        "complete": true
+      }
     }
   ],
   "publication_policy": {

metrics/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T17:58:56+00:00",
+  "generated_at_utc": "2026-06-12T18:14:51+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

metrics/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-12T17:58:56+00:00",
+  "generated_at_utc": "2026-06-12T18:14:51+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

metrics/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T17:58:56+00:00",
+  "generated_at_utc": "2026-06-12T18:14:51+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,45 +64,45 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "current action class",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Egocentric Action Recognition",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
@@ -184,45 +184,45 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Temporal Subtask Recognition",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
@@ -304,45 +304,45 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Temporal Action Segmentation",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
@@ -422,45 +422,45 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_research_name_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
@@ -540,45 +540,45 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "3D Hand Motion Forecasting",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
@@ -658,45 +658,45 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Human-Object Contact Prediction",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
@@ -774,45 +774,45 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
@@ -892,45 +892,45 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Language-to-Moment Grounding",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
@@ -1008,45 +1008,45 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Representation Retrieval",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
@@ -1126,45 +1126,45 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Modality Feature Reconstruction",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
@@ -1244,45 +1244,45 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
@@ -1360,45 +1360,45 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {

metrics/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-12T17:58:57+00:00",
+  "generated_at_utc": "2026-06-12T18:14:52+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -308,7 +308,7 @@
     },
     {
       "path": "data/omni_model_comparison.json",
-      "bytes": 80354,
+      "bytes": 81593,
       "top_level_type": "dict"
     },
     {
@@ -338,7 +338,7 @@
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 7590,
+      "bytes": 7591,
       "top_level_type": "dict"
     },
     {
@@ -348,7 +348,7 @@
     },
     {
       "path": "data/qwen3_full_parameter_gates.json",
-      "bytes": 10533,
+      "bytes": 12183,
       "top_level_type": "dict"
     },
     {