Add files using upload-large-folder tool

docs/data/mirror_parity.json

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+      "path": "hf_space:data/task_surface_integrity.json",
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+      "path": "hf_artifacts:data/task_surface_integrity.json",
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+      "path": "hf_artifacts:docs/data/task_surface_integrity.json",
+      "expected_sha256": "0a7270fed6f861db25e00d7795a775039a872a3c35f8e87aba1a067d95c1be4b",
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+  ]
 }

docs/data/omni_model_comparison.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
-  "generated_at_utc": "2026-06-11T16:11:49+00:00",
+  "generated_at_utc": "2026-06-12T16:51:33+00:00",
   "status": "pass",
   "version_count": 3,
   "model_group_count": 5,
@@ -313,8 +313,8 @@
       "source": "results/omni_finetune/verified_public/",
       "split": "episode/session held-out split; exact task target depends on backbone contract",
       "counts": {
-        "verified_branch_count": 9,
-        "qwen3_verified_package_count": 6,
+        "verified_branch_count": 10,
+        "qwen3_verified_package_count": 7,
         "cosmos3_verified_package_count": 3,
         "cosmos3_nano_verified_package_count": 1,
         "cosmos3_super_verified_package_count": 2
@@ -591,6 +591,58 @@
           "is_current": true,
           "weights_repository": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep"
         },
+        {
+          "id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
+          "title": "Qwen3-Omni LoRA",
+          "status": "verified",
+          "backbone": "qwen3_omni_lora",
+          "dataset_contract": "xperience10m_episode_json_qa_v1",
+          "training_objective": "structured_episode_understanding_json_qa",
+          "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/verified_result_summary.json",
+          "dataset_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora",
+          "train_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora",
+          "eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
+          "counts": {
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+            "dataset_episodes": 119,
+            "split_counts": {
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+              "train": 25629,
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+            "val_samples": 2048,
+            "eval_samples": 4032,
+            "held_out_episode_count": 14,
+            "num_processes": 8
+          },
+          "primary_metrics": {
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+            "action_macro_f1": 0.0028830723979596335,
+            "subtask_accuracy": 0.0037313432835820895,
+            "transition_accuracy": 0.9898313492063492,
+            "next_action_accuracy": 0.04305335446381405,
+            "contact_accuracy": 0.8177083333333334,
+            "object_micro_f1": 0.3064982378331287,
+            "held_out_episode_count": 14
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+              "train_loss": 0.05208605339353295,
+              "val_loss": 0.026512427255511284,
+              "global_step": 3204
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+          "is_current": false,
+          "weights_repository": "historical diagnostic package; keep separate from the final 128-episode adapter repo"
+        },
         {
           "id": "xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora_eval_test_full",
           "title": "Qwen3-Omni LoRA",
@@ -1130,6 +1182,58 @@
           "is_current": true,
           "weights_repository": "https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep"
         },
+        {
+          "id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
+          "title": "Qwen3-Omni LoRA",
+          "status": "verified",
+          "backbone": "qwen3_omni_lora",
+          "dataset_contract": "xperience10m_episode_json_qa_v1",
+          "training_objective": "structured_episode_understanding_json_qa",
+          "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/verified_result_summary.json",
+          "dataset_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora",
+          "train_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora",
+          "eval_run_id": "xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full",
+          "counts": {
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+            "eval_samples": 4032,
+            "held_out_episode_count": 14,
+            "num_processes": 8
+          },
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+            "action_macro_f1": 0.0028830723979596335,
+            "subtask_accuracy": 0.0037313432835820895,
+            "transition_accuracy": 0.9898313492063492,
+            "next_action_accuracy": 0.04305335446381405,
+            "contact_accuracy": 0.8177083333333334,
+            "object_micro_f1": 0.3064982378331287,
+            "held_out_episode_count": 14
+          },
+          "history": [
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+              "train_loss": 0.05208605339353295,
+              "val_loss": 0.026512427255511284,
+              "global_step": 3204
+            },
+            {
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+              "train_loss": 0.013760763933660042,
+              "val_loss": 0.032345958054065704,
+              "global_step": 6408
+            }
+          ],
+          "is_current": false,
+          "weights_repository": "historical diagnostic package; keep separate from the final 128-episode adapter repo"
+        },
         {
           "id": "xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora_eval_test_full",
           "title": "Qwen3-Omni LoRA",

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-11T16:18:28+00:00",
+  "generated_at_utc": "2026-06-12T16:51:33+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -48,7 +48,7 @@
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-11T16:16:03+00:00"
+          "generated_at_utc": "2026-06-11T16:21:04+00:00"
         },
         "live_publication": {
           "exists": true,

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-11T16:14:07+00:00",
+  "generated_at_utc": "2026-06-12T16:52:48+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -187,8 +187,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 893,
-      "text_file_count": 729,
+      "file_count": 906,
+      "text_file_count": 740,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -198,8 +198,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 687,
-      "text_file_count": 560,
+      "file_count": 700,
+      "text_file_count": 571,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 877,
-      "text_file_count": 726,
+      "file_count": 890,
+      "text_file_count": 737,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -220,8 +220,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 1067,
-      "text_file_count": 881,
+      "file_count": 1080,
+      "text_file_count": 892,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-11T16:18:27+00:00",
+  "generated_at_utc": "2026-06-12T16:51:34+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/qwen3_full_parameter_gates.json

@@ -1,6 +1,6 @@
 {
   "title": "Qwen3-Omni Full-Parameter Feasibility Gates",
-  "generated_at_utc": "2026-06-11T16:11:05+00:00",
+  "generated_at_utc": "2026-06-12T16:50:05+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.",

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-11T16:13:36+00:00",
+  "generated_at_utc": "2026-06-12T16:51:45+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-11T16:13:21+00:00",
+  "generated_at_utc": "2026-06-12T16:51:45+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",