Add files using upload-large-folder tool

REPRODUCIBILITY.md

@@ -14,7 +14,8 @@ outside the current public data scope.
 | Neural MLP heads | Yes, when `torch` is installed | Compact task heads only, not a foundation model. |
 | Website figures and charts | Yes | Generated from committed metrics and sample thumbnails. |
 | Public bundle contents | Yes | Covers public repo and prepared HF bundles. |
-| Multi-episode Qwen3-Omni LoRA pilot | Yes, as a public-safe verified result package | The selected 96/16/16 episode split produced a validation-monitored diagnostic held-out result package with 3,808 exported windows, 512 validation windows, 448 test predictions, and weak model-quality metrics that motivate the next structured-output improvement pass. |
+| Multi-episode Qwen3-Omni LoRA pilot | Yes, as a public-safe verified result package | The selected 96/16/16 episode split produced verified held-out packages; the latest v6 package records 34,269 exported multiscale windows and 4,032 held-out predictions. Public readers can inspect the package, but rerunning requires gated Xperience data and base-model weights. |
+| Owner-side staged Qwen3-Omni v6 reproduction | Yes, on the private staged GPU host only | The staged host has the exported media cache, path-rewritten JSONL, Qwen3-Omni base-model cache, v6 adapter, HF mirrors, and a one-sample smoke with `exit_code=0` on 2026-06-14. |
 
 ## Environment
 
@@ -91,6 +92,59 @@ python scripts/validate_mirror_parity.py
 python scripts/validate_publication_package.py
 ```
 
+## Owner-Side Staged Qwen3-Omni v6 Reproduction
+
+This section is for the private staged GPU host, not for public reruns from the
+GitHub repo alone. It preserves the verified result path after the original
+training host is released.
+
+Expected private staging layout:
+
+| Item | Staged path |
+| --- | --- |
+| Staging root | `/mnt/kgc/chaoyue/ropedia-h20-side` |
+| Repo | `<staged-repo-root>` |
+| Qwen3-Omni base model | `/mnt/kgc/chaoyue/ropedia-h20-side/modelscope_models/Qwen__Qwen3-Omni-30B-A3B-Instruct` |
+| v6 adapter | `checkpoints/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora/adapter_lora` |
+| Staged eval JSONL | `results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl` |
+| Private handoff manifest | `/mnt/kgc/chaoyue/ropedia-h20-side/STAGING_MANIFEST_20260614.md` |
+
+The staged JSONL has the same 34,269 rows as the original export JSONL, with
+exported media paths rewritten from the training-host repo root to the private
+staging root. Raw upstream Xperience-10M source files are not required for this
+train/eval cache reproduction and were not copied because the selected raw
+source tree is about 278 GB.
+
+Run this from the staged repo:
+
+```bash
+cd <staged-repo-root>
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+RUN_ID=a100_repro_qwen_v6_eval_smoke1_manual \
+SAMPLE_LIMIT=1 \
+MAX_NEW_TOKENS=1 \
+scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh
+```
+
+The launcher first applies/checks the narrow Transformers Qwen3-Omni
+video-feature compatibility patch. The expected compatible installed source
+hash is `da5feea4afc11767db3ca7eedb85ac129c66605643dadc6272c4288b03be7d25`;
+the known incompatible pre-patch hash is
+`2aa5752c32965dbaeee230a016afbbbb30d459a46a12c88c1d6f712e12ba95ad`.
+
+Verified staged-GPU smoke evidence from 2026-06-14:
+
+| Field | Value |
+| --- | --- |
+| Run id | `a100_repro_qwen_v6_eval_smoke1_preflight_busy_20260614` |
+| Exit code | `0` |
+| Samples | `1` |
+| JSON validity | `1.0` |
+| Transition accuracy | `1.0` |
+| Contact accuracy | `1.0` |
+| Object micro-F1 | `0.28571428571428575` |
+| Metrics path | `results/omni_finetune/a100_repro_qwen_v6_eval_smoke1_preflight_busy_20260614/metrics.json` |
+
 ## Expected Public Outputs
 
 | Command group | Expected artifacts |

data/mirror_parity.json

@@ -1,9 +1,9 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:12:37+00:00",
+  "generated_at_utc": "2026-06-13T22:21:20+00:00",
   "hf_root": "hf_publish",
   "summary": {
-    "group_count": 366,
+    "group_count": 369,
     "failure_count": 0,
     "failures_by_surface": {}
   },
@@ -825,44 +825,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 7591,
-        "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+        "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         }
       },
       "failures": []
@@ -1413,44 +1413,44 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 21795,
-        "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+        "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model_data": {
           "path": "hf_model:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         }
       },
       "failures": []
@@ -2788,6 +2788,31 @@
       },
       "failures": []
     },
+    {
+      "name": "scripts/omni/patch_qwen3_omni_video_features.py",
+      "status": "pass",
+      "local": {
+        "path": "repo:scripts/omni/patch_qwen3_omni_video_features.py",
+        "exists": true,
+        "bytes": 4435,
+        "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+      },
+      "mirrors": {
+        "hf_artifacts": {
+          "path": "hf_artifacts:scripts/omni/patch_qwen3_omni_video_features.py",
+          "exists": true,
+          "bytes": 4435,
+          "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+        },
+        "hf_model": {
+          "path": "hf_model:scripts/omni/patch_qwen3_omni_video_features.py",
+          "exists": true,
+          "bytes": 4435,
+          "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "scripts/omni/probe_cosmos3_super_training_readiness.py",
       "status": "pass",
@@ -2813,6 +2838,31 @@
       },
       "failures": []
     },
+    {
+      "name": "scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+      "status": "pass",
+      "local": {
+        "path": "repo:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+        "exists": true,
+        "bytes": 4082,
+        "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+      },
+      "mirrors": {
+        "hf_artifacts": {
+          "path": "hf_artifacts:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+          "exists": true,
+          "bytes": 4082,
+          "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+        },
+        "hf_model": {
+          "path": "hf_model:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+          "exists": true,
+          "bytes": 4082,
+          "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "scripts/omni/run_128_task_baselines.py",
       "status": "pass",
@@ -3244,21 +3294,21 @@
       "local": {
         "path": "repo:scripts/validate_mirror_parity.py",
         "exists": true,
-        "bytes": 21032,
-        "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+        "bytes": 21157,
+        "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 21032,
-          "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+          "bytes": 21157,
+          "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
         },
         "hf_model": {
           "path": "hf_model:scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 21032,
-          "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+          "bytes": 21157,
+          "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
         }
       },
       "failures": []
@@ -11741,6 +11791,37 @@
       },
       "failures": []
     },
+    {
+      "name": "docs/REPRODUCIBILITY.md",
+      "status": "pass",
+      "local": {
+        "path": "repo:REPRODUCIBILITY.md",
+        "exists": true,
+        "bytes": 9016,
+        "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+      },
+      "mirrors": {
+        "hf_space": {
+          "path": "hf_space:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        },
+        "hf_artifacts": {
+          "path": "hf_artifacts:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        },
+        "hf_model": {
+          "path": "hf_model:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "docs/TASK_SUITE_ENHANCEMENT_128.md",
       "status": "pass",

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:15:21+00:00",
+  "generated_at_utc": "2026-06-13T22:21:50+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 1745,
-      "text_file_count": 742,
+      "file_count": 1747,
+      "text_file_count": 744,
       "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": 2171,
-      "text_file_count": 898,
+      "file_count": 2173,
+      "text_file_count": 900,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:15:12+00:00",
+  "generated_at_utc": "2026-06-13T22:21:34+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/mirror_parity.json

@@ -1,9 +1,9 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:12:37+00:00",
+  "generated_at_utc": "2026-06-13T22:21:20+00:00",
   "hf_root": "hf_publish",
   "summary": {
-    "group_count": 366,
+    "group_count": 369,
     "failure_count": 0,
     "failures_by_surface": {}
   },
@@ -825,44 +825,44 @@
         "path": "repo:docs/data/publication_audit.json",
         "exists": true,
         "bytes": 7591,
-        "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+        "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         },
         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 7591,
-          "sha256": "b2126a355cd73e71a14901434db98086204688029fe134aa282ee6d987af86bd"
+          "sha256": "df9cd69dbbef319d9d72c2d861d544ee8f6f30042e52046097259b2722e4632e"
         }
       },
       "failures": []
@@ -1413,44 +1413,44 @@
         "path": "repo:docs/data/scope_claims_audit.json",
         "exists": true,
         "bytes": 21795,
-        "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+        "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model_data": {
           "path": "hf_model:data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         },
         "hf_model": {
           "path": "hf_model:metrics/scope_claims_audit.json",
           "exists": true,
           "bytes": 21795,
-          "sha256": "2dd9ec080746a403eeafbc0bd893b24044dcaa7e07ccd1b05fc461c8b9cd38d7"
+          "sha256": "789e5c660c203ea75ac95b483cff93b2e665479e843220a5f32b3961a4188d68"
         }
       },
       "failures": []
@@ -2788,6 +2788,31 @@
       },
       "failures": []
     },
+    {
+      "name": "scripts/omni/patch_qwen3_omni_video_features.py",
+      "status": "pass",
+      "local": {
+        "path": "repo:scripts/omni/patch_qwen3_omni_video_features.py",
+        "exists": true,
+        "bytes": 4435,
+        "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+      },
+      "mirrors": {
+        "hf_artifacts": {
+          "path": "hf_artifacts:scripts/omni/patch_qwen3_omni_video_features.py",
+          "exists": true,
+          "bytes": 4435,
+          "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+        },
+        "hf_model": {
+          "path": "hf_model:scripts/omni/patch_qwen3_omni_video_features.py",
+          "exists": true,
+          "bytes": 4435,
+          "sha256": "012b540f90f05772cd1c0d9745a1f8e47fc0cd45de383ed0f0ca956b7670a8f7"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "scripts/omni/probe_cosmos3_super_training_readiness.py",
       "status": "pass",
@@ -2813,6 +2838,31 @@
       },
       "failures": []
     },
+    {
+      "name": "scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+      "status": "pass",
+      "local": {
+        "path": "repo:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+        "exists": true,
+        "bytes": 4082,
+        "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+      },
+      "mirrors": {
+        "hf_artifacts": {
+          "path": "hf_artifacts:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+          "exists": true,
+          "bytes": 4082,
+          "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+        },
+        "hf_model": {
+          "path": "hf_model:scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
+          "exists": true,
+          "bytes": 4082,
+          "sha256": "23cdd97be6cc7f516d231f65646215ff7447f47243040920b1840c7e76c09ff1"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "scripts/omni/run_128_task_baselines.py",
       "status": "pass",
@@ -3244,21 +3294,21 @@
       "local": {
         "path": "repo:scripts/validate_mirror_parity.py",
         "exists": true,
-        "bytes": 21032,
-        "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+        "bytes": 21157,
+        "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "hf_artifacts:scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 21032,
-          "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+          "bytes": 21157,
+          "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
         },
         "hf_model": {
           "path": "hf_model:scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 21032,
-          "sha256": "cee8801466f5b0593e4a43258d8d8f90c4b87737bfcb966d8a72a010eae12c5b"
+          "bytes": 21157,
+          "sha256": "3964b8981d78f0daeb576e93613040df2b0243bf5789f41b55cf7dd56a0d61e0"
         }
       },
       "failures": []
@@ -11741,6 +11791,37 @@
       },
       "failures": []
     },
+    {
+      "name": "docs/REPRODUCIBILITY.md",
+      "status": "pass",
+      "local": {
+        "path": "repo:REPRODUCIBILITY.md",
+        "exists": true,
+        "bytes": 9016,
+        "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+      },
+      "mirrors": {
+        "hf_space": {
+          "path": "hf_space:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        },
+        "hf_artifacts": {
+          "path": "hf_artifacts:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        },
+        "hf_model": {
+          "path": "hf_model:REPRODUCIBILITY.md",
+          "exists": true,
+          "bytes": 9016,
+          "sha256": "c1b9c7bd3fdd7446f41b1c4247727ce135697bfc3539b82cabd0d0c09fe7307f"
+        }
+      },
+      "failures": []
+    },
     {
       "name": "docs/TASK_SUITE_ENHANCEMENT_128.md",
       "status": "pass",

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:15:21+00:00",
+  "generated_at_utc": "2026-06-13T22:21:50+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -209,8 +209,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 1745,
-      "text_file_count": 742,
+      "file_count": 1747,
+      "text_file_count": 744,
       "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": 2171,
-      "text_file_count": 898,
+      "file_count": 2173,
+      "text_file_count": 900,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-13T22:15:12+00:00",
+  "generated_at_utc": "2026-06-13T22:21:34+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

scripts/omni/patch_qwen3_omni_video_features.py

@@ -0,0 +1,127 @@
+#!/usr/bin/env python3
+"""Patch/check the Qwen3-Omni video-feature compatibility issue.
+
+Some Transformers 5.0.0 Qwen3-Omni builds unpack ``pooler_output`` as a pair in
+the video branch. The source used for the verified v5/v6 runs reads
+``pooler_output`` and ``deepstack_features`` separately. This helper keeps a
+private staged GPU environment reproducible without replacing the whole
+installed package by hand.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import shutil
+import sys
+import sysconfig
+import time
+from pathlib import Path
+
+
+EXPECTED_COMPAT_SHA256 = "da5feea4afc11767db3ca7eedb85ac129c66605643dadc6272c4288b03be7d25"
+KNOWN_BAD_SHA256 = "2aa5752c32965dbaeee230a016afbbbb30d459a46a12c88c1d6f712e12ba95ad"
+
+BAD_PATTERN = """video_embeds, video_embeds_multiscale = self.get_video_features(
+                pixel_values_videos, video_grid_thw, return_dict=True
+            ).pooler_output"""
+
+GOOD_PATTERN = """video_outputs = self.get_video_features(pixel_values_videos, video_grid_thw, return_dict=True)
+            video_embeds = video_outputs.pooler_output
+            video_embeds_multiscale = video_outputs.deepstack_features"""
+
+RELATIVE_MODELING_PATH = Path("transformers/models/qwen3_omni_moe/modeling_qwen3_omni_moe.py")
+
+
+def sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as handle:
+        for chunk in iter(lambda: handle.read(1024 * 1024), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def locate_modeling_file(explicit: Path | None) -> Path:
+    if explicit is not None:
+        return explicit.expanduser().resolve()
+
+    candidates = []
+    paths = sysconfig.get_paths()
+    for key in ("purelib", "platlib"):
+        base = paths.get(key)
+        if base:
+            candidates.append(Path(base) / RELATIVE_MODELING_PATH)
+
+    for candidate in candidates:
+        if candidate.is_file():
+            return candidate.resolve()
+
+    raise SystemExit(
+        "Could not find installed Transformers Qwen3-Omni modeling file. "
+        "Pass --modeling-file explicitly."
+    )
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--modeling-file", type=Path, help="explicit modeling_qwen3_omni_moe.py path")
+    parser.add_argument("--apply", action="store_true", help="apply the narrow video-feature patch if needed")
+    parser.add_argument(
+        "--strict-hash",
+        action="store_true",
+        help="fail unless the final file hash matches the verified compatible source hash",
+    )
+    return parser.parse_args()
+
+
+def main() -> int:
+    args = parse_args()
+    path = locate_modeling_file(args.modeling_file)
+    if not path.is_file():
+        raise SystemExit(f"Missing modeling file: {path}")
+
+    before_hash = sha256(path)
+    if before_hash == EXPECTED_COMPAT_SHA256:
+        print(f"Qwen3-Omni modeling file already source-compatible: {path}")
+        print(f"sha256={before_hash}")
+        return 0
+
+    text = path.read_text(encoding="utf-8")
+    if BAD_PATTERN not in text:
+        message = (
+            f"Qwen3-Omni modeling file does not contain the known bad video-feature pattern: {path}\n"
+            f"sha256={before_hash}"
+        )
+        if args.strict_hash:
+            print(message, file=sys.stderr)
+            return 1
+        print(message)
+        return 0
+
+    if not args.apply:
+        print(f"Known incompatible Qwen3-Omni video-feature pattern found: {path}", file=sys.stderr)
+        print(f"sha256={before_hash}", file=sys.stderr)
+        if before_hash == KNOWN_BAD_SHA256:
+            print("This matches the observed pre-patch hash.", file=sys.stderr)
+        return 1
+
+    backup = path.with_name(f"{path.name}.video_features_prepatch_{int(time.time())}.bak")
+    shutil.copy2(path, backup)
+    path.write_text(text.replace(BAD_PATTERN, GOOD_PATTERN, 1), encoding="utf-8")
+    after_hash = sha256(path)
+    print(f"Patched Qwen3-Omni video-feature source: {path}")
+    print(f"backup={backup}")
+    print(f"sha256_before={before_hash}")
+    print(f"sha256_after={after_hash}")
+
+    if args.strict_hash and after_hash != EXPECTED_COMPAT_SHA256:
+        print(
+            "Patched file does not match the verified compatible source hash; inspect before running eval.",
+            file=sys.stderr,
+        )
+        return 1
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/omni/run_private_gpu_qwen3_v6_repro_smoke.sh

@@ -0,0 +1,121 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+PROJECT_ROOT="${PROJECT_ROOT:-$(cd "$SCRIPT_DIR/../.." && pwd)}"
+STAGING_ROOT="${STAGING_ROOT:-/mnt/kgc/chaoyue/ropedia-h20-side}"
+VENV_PY="${VENV_PY:-$PROJECT_ROOT/.venv/bin/python}"
+
+RUN_ID="${RUN_ID:-a100_repro_qwen_v6_eval_smoke1_$(date +%Y%m%d_%H%M%S)}"
+DATASET_JSONL="${DATASET_JSONL:-$PROJECT_ROOT/results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl}"
+MODEL_DIR="${MODEL_DIR:-$STAGING_ROOT/modelscope_models/Qwen__Qwen3-Omni-30B-A3B-Instruct}"
+ADAPTER_DIR="${ADAPTER_DIR:-$PROJECT_ROOT/checkpoints/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora/adapter_lora}"
+OUT_DIR="${OUT_DIR:-$PROJECT_ROOT/results/omni_finetune/$RUN_ID}"
+
+CUDA_VISIBLE_DEVICES="${CUDA_VISIBLE_DEVICES:-0,1,2,3}"
+SAMPLE_LIMIT="${SAMPLE_LIMIT:-1}"
+MAX_NEW_TOKENS="${MAX_NEW_TOKENS:-1}"
+DEVICE_MAP="${DEVICE_MAP:-auto}"
+DTYPE="${DTYPE:-bfloat16}"
+EVAL_SPLIT="${EVAL_SPLIT:-test}"
+MIN_FREE_MIB="${MIN_FREE_MIB:-60000}"
+GPU_WAIT_SECONDS="${GPU_WAIT_SECONDS:-0}"
+GPU_POLL_SECONDS="${GPU_POLL_SECONDS:-30}"
+
+for path in "$VENV_PY" "$DATASET_JSONL" "$MODEL_DIR" "$ADAPTER_DIR"; do
+  if [[ ! -e "$path" ]]; then
+    echo "Missing required private GPU reproducibility path: $path" >&2
+    exit 2
+  fi
+done
+
+cd "$PROJECT_ROOT"
+mkdir -p "$OUT_DIR"
+
+check_gpu_free() {
+  if ! command -v nvidia-smi >/dev/null 2>&1; then
+    return 0
+  fi
+
+  local bad=0
+  local gpu line free_mib total_mib
+  IFS=',' read -r -a selected_gpus <<<"$CUDA_VISIBLE_DEVICES"
+  for gpu in "${selected_gpus[@]}"; do
+    gpu="${gpu//[[:space:]]/}"
+    if [[ -z "$gpu" || ! "$gpu" =~ ^[0-9]+$ ]]; then
+      continue
+    fi
+    line="$(nvidia-smi --id="$gpu" --query-gpu=memory.free,memory.total --format=csv,noheader,nounits 2>/dev/null || true)"
+    free_mib="${line%%,*}"
+    total_mib="${line##*,}"
+    free_mib="${free_mib//[[:space:]]/}"
+    total_mib="${total_mib//[[:space:]]/}"
+    printf 'gpu=%s free_mib=%s total_mib=%s\n' "$gpu" "$free_mib" "$total_mib"
+    if [[ -z "$free_mib" || "$free_mib" -lt "$MIN_FREE_MIB" ]]; then
+      bad=1
+    fi
+  done
+  return "$bad"
+}
+
+deadline=$((SECONDS + GPU_WAIT_SECONDS))
+while true; do
+  if gpu_status="$(check_gpu_free)"; then
+    printf '%s\n' "$gpu_status" >"$OUT_DIR/gpu_preflight.txt"
+    break
+  fi
+  printf '%s\n' "$gpu_status" >"$OUT_DIR/gpu_preflight.txt"
+  if (( SECONDS >= deadline )); then
+    {
+      echo "Not enough free GPU memory for Qwen3-Omni smoke."
+      echo "required_free_mib=$MIN_FREE_MIB"
+      echo "cuda_visible_devices=$CUDA_VISIBLE_DEVICES"
+      printf '%s\n' "$gpu_status"
+    } >&2
+    exit 3
+  fi
+  sleep "$GPU_POLL_SECONDS"
+done
+
+"$VENV_PY" scripts/omni/patch_qwen3_omni_video_features.py --apply --strict-hash
+
+{
+  echo "run_id=$RUN_ID"
+  echo "project_root=$PROJECT_ROOT"
+  echo "dataset_jsonl=$DATASET_JSONL"
+  echo "model_dir=$MODEL_DIR"
+  echo "adapter_dir=$ADAPTER_DIR"
+  echo "cuda_visible_devices=$CUDA_VISIBLE_DEVICES"
+  echo "sample_limit=$SAMPLE_LIMIT"
+  echo "max_new_tokens=$MAX_NEW_TOKENS"
+  echo "min_free_mib=$MIN_FREE_MIB"
+  echo "gpu_wait_seconds=$GPU_WAIT_SECONDS"
+  echo "started_at=$(date -Is)"
+} >"$OUT_DIR/a100_repro_env.txt"
+
+set +e
+CUDA_VISIBLE_DEVICES="$CUDA_VISIBLE_DEVICES" "$VENV_PY" scripts/omni/eval_qwen3_omni_lora.py \
+  --dataset-jsonl "$DATASET_JSONL" \
+  --model-id "$MODEL_DIR" \
+  --adapter-dir "$ADAPTER_DIR" \
+  --run-id "$RUN_ID" \
+  --eval-split "$EVAL_SPLIT" \
+  --sample-limit "$SAMPLE_LIMIT" \
+  --max-new-tokens "$MAX_NEW_TOKENS" \
+  --device-map "$DEVICE_MAP" \
+  --dtype "$DTYPE" \
+  --local-files-only \
+  >"$OUT_DIR/a100_smoke.log" 2>&1
+status=$?
+set -e
+
+echo "$status" >"$OUT_DIR/exit_code.txt"
+echo "finished_at=$(date -Is)" >>"$OUT_DIR/a100_repro_env.txt"
+echo "exit_code=$status" >>"$OUT_DIR/a100_repro_env.txt"
+
+if [[ "$status" -ne 0 ]]; then
+  tr '\r' '\n' <"$OUT_DIR/a100_smoke.log" 2>/dev/null | tail -n 120 >&2 || true
+  exit "$status"
+fi
+
+echo "Private GPU Qwen3 v6 reproducibility smoke passed: $OUT_DIR"

scripts/validate_mirror_parity.py

@@ -92,7 +92,9 @@ SCRIPT_FILES = [
     "omni/pack_cosmos3_super_action_batch.py",
     "omni/prepare_cosmos3_super_lora_hf_package.py",
     "omni/prepare_qwen3_lora_hf_package.py",
+    "omni/patch_qwen3_omni_video_features.py",
     "omni/probe_cosmos3_super_training_readiness.py",
+    "omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
     "omni/run_128_task_baselines.py",
     "omni/build_task_suite_enhancement_128.py",
     "omni/run_cosmos3_super_forward_dynamics_lora.sh",
@@ -215,6 +217,7 @@ DOC_FILES = [
     "RENDERED_SITE_CHECK.md",
     "RESEARCH_ROADMAP.md",
     "PROJECT_STATUS.md",
+    "REPRODUCIBILITY.md",
     "TASK_SUITE_ENHANCEMENT_128.md",
     "PUBLIC_SURFACE_QA.md",
     "RESEARCH_TAKEAWAYS.md",