Update task-suite public data mirrors

data/artifact_index.json

@@ -1,8 +1,8 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-16T06:28:50+00:00",
+  "generated_at_utc": "2026-06-16T07:51:12+00:00",
   "status": "pass",
-  "artifact_count": 176,
+  "artifact_count": 177,
   "missing": [],
   "by_kind": {
     "project_path": 14,
@@ -16,7 +16,7 @@
     "website_data": 6,
     "generated_figure": 5,
     "visualization_builder": 1,
-    "model_result": 1,
+    "model_result": 2,
     "result_interpretation": 5,
     "metrics_source": 27,
     "visual_evidence": 7,
@@ -465,7 +465,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "07798a6609929512ae6f9368dc2626b0a854b828682b8d0dfa0323698eb0f5bf"
+      "sha256": "fb8bb8e5cd7eeea8d0b5ffb22ddedb7ea36fd023d57d54b5a9c1cf0cf83a2102"
     },
     {
       "id": "source_alignment_validator",
@@ -585,8 +585,8 @@
       "surface": "website_hf",
       "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
       "exists": true,
-      "bytes": 38085,
-      "sha256": "039ecf90094b813984cdd439017d383e1712c97d2eca8e7060c9981e20e08f7b"
+      "bytes": 54075,
+      "sha256": "86d82d6cb9dde65aded4fbfe4d621b511f4a7e7630aef357ce270e1bc37ab50a"
     },
     {
       "id": "unified_task_model_radar_chart",
@@ -596,8 +596,8 @@
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
       "exists": true,
-      "bytes": 30823,
-      "sha256": "c26b73cdfd53ec81b9b4958a03309d11b297a09c841ce38e7309c90dcdeb17b0"
+      "bytes": 37507,
+      "sha256": "4bb600ac9ce7901a3c94ca5851f6975751b0a7b6e1d72f397565ecfb8dfba0df"
     },
     {
       "id": "unified_task_model_radar_builder",
@@ -607,8 +607,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 23778,
-      "sha256": "feb3f2ca48bf05bda6e32678ad1e70a3c36296ae514bebe1e407cb7870009f2b"
+      "bytes": 27128,
+      "sha256": "8c32b725318f5a3e8ba384b496e099d93f353d009e475dbc6243d229aff4ea13"
     },
     {
       "id": "a100_128_metadata_task_baselines",
@@ -621,6 +621,17 @@
       "bytes": 46996,
       "sha256": "e52b42fef73ab8e3647ce28361cb8c01095e3e8a7228c86b09d484cfa15b1830"
     },
+    {
+      "id": "a100_128_raw20_task_baselines",
+      "title": "128-episode raw-feature 20-task baselines",
+      "path": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json",
+      "kind": "model_result",
+      "surface": "repo_hf",
+      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 18 of 20 task axes with documented raw-source gaps for interaction text and camera-view sync.",
+      "exists": true,
+      "bytes": 11638,
+      "sha256": "a2c8a63f04f9f13f97929551551505898b1c8b0b4a8964bdd0a035d5f600f4b6"
+    },
     {
       "id": "research_takeaways",
       "title": "Research takeaways",
@@ -717,8 +728,8 @@
       "surface": "repo_hf",
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
-      "bytes": 5619,
-      "sha256": "4e22701530f12319291f611ccb1b23b647d3905bc6b4fc13d971fc1e5a6ea89d"
+      "bytes": 5614,
+      "sha256": "5a71c79b2c6b764a833553fa711cc0688c4d6d41edc79b1db1530a8223fdcaea"
     },
     {
       "id": "figure_index_json",
@@ -728,8 +739,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 15731,
-      "sha256": "e12260ee4d0f8a8c74700398df555100745dcecfa4f258c4fd6b68925512a1c5"
+      "bytes": 15726,
+      "sha256": "587fc0e7e9e93f06341f520acf89b7ef81eeb98caaa90135881bc0d681ac2679"
     },
     {
       "id": "figure_index_builder",
@@ -806,7 +817,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8100,
-      "sha256": "6ffa21b6c04d5ae843310ec2fa6856ed1d9f40797575a417471cec17fc447c89"
+      "sha256": "52c8d858159ef519fae7382a3cac2ae7edd755f22e8f3ac3b8a63a7a90dba96a"
     },
     {
       "id": "public_surface_qa",
@@ -817,7 +828,7 @@
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
       "bytes": 1939,
-      "sha256": "6172c436593244cb8c1524f4a51e0d53c3a90b1126e16f8bf5c2a675e9800861"
+      "sha256": "516ca8e7b67460a6151785bfa186165f37e394ab56114bab05481c878265ffe5"
     },
     {
       "id": "public_surface_qa_json",
@@ -828,7 +839,7 @@
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 5882,
+      "bytes": 5806,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -909,7 +920,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 131863,
+      "bytes": 131884,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -953,8 +964,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 48219,
-      "sha256": "c8a612f4b1ade34cfe41abcfe5515da77c0dbe3cbcf3344b4b8a079eac1e0493"
+      "bytes": 48739,
+      "sha256": "c0229653930917bd2cd71daf763ed85f140614bdeeef1db06b712519a684e746"
     },
     {
       "id": "publication_audit",
@@ -965,7 +976,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 7881,
+      "bytes": 7883,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -989,7 +1000,7 @@
       "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": 635505,
+      "bytes": 727544,
       "hash_policy": "existence_and_size_only"
     },
     {

data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:28:50+00:00",
+  "generated_at_utc": "2026-06-16T07:50:07+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 24,
   "figures": [
@@ -359,13 +359,13 @@
       "source_script": "scripts/build_unified_task_model_radar.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,
-      "bytes": 30823,
-      "sha256": "c26b73cdfd53ec81b9b4958a03309d11b297a09c841ce38e7309c90dcdeb17b0",
+      "bytes": 37499,
+      "sha256": "2fdcb43457b95b467fd83b9679217177d34572461649d6ed74a9831b6eb1e575",
       "dimensions": {
         "format": "SVG",
         "width": 1720,
-        "height": 1360,
-        "view_box": "0 0 1720 1360"
+        "height": 1500,
+        "view_box": "0 0 1720 1500"
       },
       "source_script_exists": true
     },

data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:36:03+00:00",
+  "generated_at_utc": "2026-06-16T07:57:01+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": "2026-06-16T06:32:53+00:00"
+          "generated_at_utc": "2026-06-16T07:52:05+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T06:32:52+00:00"
+          "generated_at_utc": "2026-06-16T07:54:01+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T06:32:52+00:00"
+          "generated_at_utc": "2026-06-16T07:54:02+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T06:33:02+00:00"
+          "generated_at_utc": "2026-06-16T07:54:11+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T06:33:43+00:00"
+          "generated_at_utc": "2026-06-16T07:54:48+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-16T06:33:38+00:00"
+          "generated_at_utc": "2026-06-16T07:56:47+00:00"
         }
       },
       "failures": {}

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:38:03+00:00",
+  "generated_at_utc": "2026-06-16T07:54:48+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -193,8 +193,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1040,
-      "text_file_count": 855,
+      "file_count": 1112,
+      "text_file_count": 921,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -204,8 +204,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 824,
-      "text_file_count": 678,
+      "file_count": 895,
+      "text_file_count": 743,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -215,8 +215,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 1951,
-      "text_file_count": 857,
+      "file_count": 2081,
+      "text_file_count": 922,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -226,8 +226,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 2374,
-      "text_file_count": 1015,
+      "file_count": 2510,
+      "text_file_count": 1080,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:36:08+00:00",
+  "generated_at_utc": "2026-06-16T07:50:01+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:36:49+00:00",
+  "generated_at_utc": "2026-06-16T07:54:11+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:36:43+00:00",
+  "generated_at_utc": "2026-06-16T07:54:02+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:36:43+00:00",
+  "generated_at_utc": "2026-06-16T07:54:01+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

data/unified_task_model_radar.json

@@ -1,14 +1,15 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:32:05+00:00",
+  "generated_at_utc": "2026-06-16T07:51:12+00:00",
   "task_count": 20,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
-    "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks."
+    "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
+    "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features and are plotted only on task axes supported by the exported feature blocks."
   },
   "series": [
     {
@@ -55,6 +56,28 @@
       "covered_task_count": 6,
       "coverage_fraction": 0.3
     },
+    {
+      "id": "raw128_simple",
+      "label": "128ep Raw Simple",
+      "short_label": "128-RS",
+      "color": "#f59e0b",
+      "kind": "partial_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "stroke_dasharray": "8 4",
+      "covered_task_count": 18,
+      "coverage_fraction": 0.9
+    },
+    {
+      "id": "raw128_neural_mlp",
+      "label": "128ep Raw NN",
+      "short_label": "128-RN",
+      "color": "#22d3ee",
+      "kind": "partial_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "stroke_dasharray": "2 5",
+      "covered_task_count": 18,
+      "coverage_fraction": 0.9
+    },
     {
       "id": "qwen3_omni_v6_lora",
       "label": "Qwen3-Omni v6 LoRA",
@@ -155,6 +178,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.004175793689174209,
           "raw_text": "0.0042"
+        },
+        "raw128_simple": {
+          "raw": 0.002915061325704321,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.002915061325704321,
+          "raw_text": "0.0029"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.0014955083181204041,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0014955083181204041,
+          "raw_text": "0.0015"
         }
       }
     },
@@ -215,6 +254,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 7.207207207207208e-05,
           "raw_text": "0.0001"
+        },
+        "raw128_simple": {
+          "raw": 0.0,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_subtask/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0,
+          "raw_text": "0.0000"
+        },
+        "raw128_neural_mlp": {
+          "raw": 7.35632183908046e-05,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_subtask/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 7.35632183908046e-05,
+          "raw_text": "0.0001"
         }
       }
     },
@@ -283,6 +338,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.4841733292368365,
           "raw_text": "0.4842"
+        },
+        "raw128_simple": {
+          "raw": 0.4203613574238283,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/transition_detection/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.4203613574238283,
+          "raw_text": "0.4204"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.4902206914147213,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/transition_detection/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.4902206914147213,
+          "raw_text": "0.4902"
         }
       }
     },
@@ -351,6 +422,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.004910507980164745,
           "raw_text": "0.0049"
+        },
+        "raw128_simple": {
+          "raw": 0.003285273363482094,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/next_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.003285273363482094,
+          "raw_text": "0.0033"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.0018477984371755407,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/next_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0018477984371755407,
+          "raw_text": "0.0018"
         }
       }
     },
@@ -379,6 +466,22 @@
           "scope": "single_episode_public_sample",
           "normalized_score": 1.0,
           "raw_text": "0.1079"
+        },
+        "raw128_simple": {
+          "raw": 0.2729249894618988,
+          "metric_key": "mae",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/hand_trajectory_forecast/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.39516420515180267,
+          "raw_text": "0.2729"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.18475216627120972,
+          "metric_key": "mae",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.5837560051580399,
+          "raw_text": "0.1848"
         }
       }
     },
@@ -447,6 +550,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.5682695682695682,
           "raw_text": "0.5683"
+        },
+        "raw128_simple": {
+          "raw": 0.886990707397193,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/contact_prediction/metrics.json",
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           "raw_text": "0.1866"
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@@ -543,6 +678,22 @@
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -579,6 +730,22 @@
           "scope": "multi_episode_128_partial_model_overlay",
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           "raw_text": "0.0221"
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -607,6 +774,22 @@
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@@ -671,6 +870,22 @@
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           "raw_text": "0.7153"
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/long_horizon_next_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -783,6 +1030,22 @@
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/action_object_relation/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -811,6 +1074,22 @@
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@@ -839,6 +1118,22 @@
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -895,6 +1190,22 @@
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+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
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@@ -916,6 +1227,22 @@
       "headline": "compact MLP heads over metadata/text features",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
+    {
+      "id": "raw128_simple",
+      "title": "128ep Raw Simple",
+      "status": "a100_raw20_pass_with_documented_gaps",
+      "coverage": "18/20 raw-feature-supported axes",
+      "headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor feature blocks",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+    },
+    {
+      "id": "raw128_neural_mlp",
+      "title": "128ep Raw NN",
+      "status": "a100_raw20_pass_with_documented_gaps",
+      "coverage": "18/20 raw-feature-supported axes",
+      "headline": "MLP heads ran on staged feature shards; raw interaction text and paired camera-view features are absent",
+      "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json"
+    },
     {
       "id": "qwen3_omni_v6_lora",
       "title": "Qwen3-Omni v6 LoRA",

data/website_integrity.json

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