Add pinned recovery record, environment metadata and completed/pending case indexes

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README.md +5 -9
RESTORE_FINAL_BACKUP.md +4 -35
reproduction/BACKUP_RECORD.json +320 -0
reproduction/COMPLETED_CASE_INDEX.jsonl +0 -0
reproduction/ENVIRONMENT_PACKAGES.json +1070 -0
reproduction/NEW_RUN_RECORD.template.json +28 -0
reproduction/PATH_MAP.json +152 -0
reproduction/PENDING_CASE_INDEX.jsonl +32 -0
reproduction/RECORD_VALIDATION.json +10 -0
reproduction/RESUME_STATE.json +74 -0
reproduction/START_HERE.md +142 -0
reproduction/verify_restore.py +59 -0

README.md CHANGED Viewed

@@ -9,6 +9,10 @@ pretty_name: FastRSI selected experiment archive
 大文件、逐例结果和校验清单保存在私有数据仓库：
 https://huggingface.co/datasets/pumpkin601/FastRSI-artifacts
 ## 内容
 - `FastRSI/third_party`：已有本地核心依赖源码。
@@ -29,15 +33,7 @@ https://huggingface.co/datasets/pumpkin601/FastRSI-artifacts
 ## 恢复
-1. 克隆本私有仓库。
-2. 登录 Hugging Face，下载私有 `pumpkin601/FastRSI-artifacts` 数据仓库。
-3. 对照 `UPLOAD_MANIFEST.json` 校验包的 SHA256，再解压到新的工作目录；包内保留项目相对路径。
-4. 六组最终模型已另存于私有 `pumpkin601/FastRSI-final-weights`；见 `RESTORE_FINAL_BACKUP.md` 和 `FINAL_WEIGHT_MANIFEST.json`。
-5. 恢复后需要重新配置机器路径、容器镜像和运行环境。本次验证的是备份完整性，未重新执行GPU评测。
-首次源码与结果备份状态见 `UPLOAD_RECEIPT.json`；最终模型和运行依赖增补分别见 `FINAL_WEIGHT_MANIFEST.json` 与 `FINAL_RUNTIME_RECEIPT.json`。
-在下载的数据仓库目录运行 `python verify_download.py` 校验首次归档文件，运行 `python verify_runtime.py` 校验新增运行依赖。使用 Python 3.12+ 时，可分别添加 `--extract restored` 与 `--extract restored-runtime` 解压到两个新目录。
 ## 最终模型与依赖增补

 大文件、逐例结果和校验清单保存在私有数据仓库：
 https://huggingface.co/datasets/pumpkin601/FastRSI-artifacts
+## 换设备复现
+从 [恢复与续跑记录](reproduction/START_HERE.md) 开始。记录标签为 `backup-record-20261027-v1`，包含固定提交、文件校验、原路径映射、环境元数据与案例进度索引。请使用该记录里的统一校验工具，避免历史 README 更新导致旧脚本误报。
 ## 内容
 - `FastRSI/third_party`：已有本地核心依赖源码。
 ## 恢复
+完整下载、校验、保留硬链接解压与续跑步骤见 [START_HERE.md](reproduction/START_HERE.md)。这份记录固定数据版本，不会因未来 main 更新而混用文件。
 ## 最终模型与依赖增补

RESTORE_FINAL_BACKUP.md CHANGED Viewed

@@ -1,38 +1,7 @@
-# FastRSI 最终有效版本备份
-本次在 2026-10-26 的源码、结果备份上补充最终方案依赖的模型和运行资源。原始服务器文件未修改，未启动评测或训练。
-## 三个私有仓库
-- 代码和入口：https://github.com/pumpkin601/FastRSI
-- 报告、逐例证据和运行依赖：https://huggingface.co/datasets/pumpkin601/FastRSI-artifacts
-- 模型权重：https://huggingface.co/pumpkin601/FastRSI-final-weights
-## 保留的六组主模型
-| 目录 | 用途 | 大约大小 |
-|---|---|---|
-| pi05_libero_pytorch_fp32 | 已使用的 π0.5 LIBERO 转换版本，保持 FP32 | 14.47 GB |
-| pi0_libero_pytorch_fp32 | 已使用的 π0 LIBERO 转换版本，保持 FP32 | 14.01 GB |
-| xvla_libero | 已使用的 X-VLA LIBERO | 3.52 GB |
-| openvla_libero10 | 已使用的 OpenVLA LIBERO-10 | 15.09 GB |
-| openvla_object | 已归档成功 Object 恢复方案的专用策略 | 15.09 GB |
-| qwen3vl8b-shared-cache-v1_20261007 | 已使用的 Qwen3-VL-8B-Instruct | 17.55 GB |
-“最终”指本次筛选的实际实验依赖，不代表这些公共基础模型由 FastRSI 训练。每个目录有原始配置、必要 tokenizer/归一化文件和来源记录。公共仓库复制前对服务器原文件重新计算 SHA256，并与固定源版本的文件哈希比较；目的仓库再按文件大小和 SHA256/Git blob 哈希核验。
-旧 Qwen2.5、OpenVLA Goal/Spatial、无用中间检查点、失败开发候选和重复媒体不纳入此增补。依赖这些排除项的历史基线不保证仅凭此备份离线复现。正式评测失败计数、完整分母和成本证据仍保留。
-## 恢复步骤
-1. 克隆 GitHub 私有仓库；通过 `hf auth login` 登录有权限的 Hugging Face 账号。
-2. 在有至少约 90 GB 可用空间的新目录下载模型：
-   `hf download pumpkin601/FastRSI-final-weights --local-dir final-weights`
-3. 下载数据仓库：
-   `hf download pumpkin601/FastRSI-artifacts --repo-type dataset --local-dir artifacts`
-4. 使用仓库内 `verify_weights.py`（下载校验工具）校验模型。对数据包按各自上传清单及 SHA256 校验，再解压到新目录。原始结果包使用原有 `verify_download.py`；增补运行包运行 `python verify_runtime.py` 校验，或使用 Python 3.12+ 运行 `python verify_runtime.py --extract restored-runtime`。
-5. `final-runtime-dependencies-20261026.tar.gz` 按服务器项目相对路径保存冻结依赖、场景、Megapose 权重和补丁。包清单给出原始及上传字节哈希，`RUNTIME_FILE_MODES.json` 记录需恢复的文件权限，恢复脚本会一并处理。原始绝对路径需在新机器映射到新根目录，不能直接照搬旧路径运行。
-6. Python 环境保留 distribution 元数据，而不是完整虚拟环境。需要按平台重新安装依赖；主机 HCU/DTK 驱动、容器镜像和系统运行库需另外准备。冻结覆盖层内的二进制扩展也需要兼容平台。
-7. 以已归档成功版本的 `SOURCE_BINDINGS.json`、资源绑定文件和各运行包说明选择入口。下载校验通过只说明备份字节完整，不等于已在新机器完成运行验证。本次没有重新运行 GPU 评测。
-保存标准是“最终可用方案及其必要依赖”，不是服务器全盘镜像。

+# FastRSI 恢复入口
+请从 [换设备恢复与续跑记录](reproduction/START_HERE.md) 开始。固定记录标签：`backup-record-20261027-v1`。
+记录包含仓库提交、六组模型和五个资料包的清单与哈希、旧路径映射、环境元数据、下载与解压命令，以及 5,968 个完成案例和 32 个快照缺失案例的索引。使用 `reproduction/verify_restore.py` 进行统一校验。
+系统驱动、完整容器镜像和完整 Python 环境仍需在新机器准备。OpenVLA Goal/Spatial 专用权重不在本次选定备份中。云端内容核验通过不等于已经在新设备复现实验。

reproduction/BACKUP_RECORD.json ADDED Viewed

	@@ -0,0 +1,320 @@

+{
+  "format_version": 1,
+  "snapshot_id": "fastrsi-final-20261026",
+  "record_created_beijing": "2026-10-27",
+  "verified_at": "2026-10-27T00:09:15+0800",
+  "scope": "Selected final useful versions and dependencies; no full server image or replay validation",
+  "repositories": {
+    "github": {
+      "url": "https://github.com/pumpkin601/FastRSI",
+      "source_revision": "d221e09ebd816521eddb9730965a61c3d5b9c338",
+      "private": true
+    },
+    "models": {
+      "id": "pumpkin601/FastRSI-final-weights",
+      "revision": "51bce91821b4eddc7e0f5a077c727a5c489e60bc",
+      "private": true
+    },
+    "artifacts": {
+      "id": "pumpkin601/FastRSI-artifacts",
+      "revision": "1bb22c1db2ed3045c93024ebba417b3b45d404f0",
+      "private": true
+    }
+  },
+  "model_manifest_sha256": "b1a0ee36520e74de2dcabf8afe9c67ad8a0990366ad6d9672ed7d6161250695a",
+  "models": [
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+      "restored_relative": "models/openvla_libero10",
+      "provenance_file": "openvla_libero10/BACKUP_PROVENANCE.json"
+    },
+    {
+      "directory": "openvla_object",
+      "bytes": 15085054979,
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+      "original_root": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/weights/openvla_object",
+      "restored_relative": "models/openvla_object",
+      "provenance_file": "openvla_object/BACKUP_PROVENANCE.json"
+    },
+    {
+      "directory": "pi05_libero_pytorch_fp32",
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+      "restored_relative": "models/pi05_libero_pytorch_fp32",
+      "provenance_file": "pi05_libero_pytorch_fp32/BACKUP_PROVENANCE.json"
+    },
+    {
+      "directory": "pi0_libero_pytorch_fp32",
+      "bytes": 14005625318,
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+      "restored_relative": "models/pi0_libero_pytorch_fp32",
+      "provenance_file": "pi0_libero_pytorch_fp32/BACKUP_PROVENANCE.json"
+    },
+    {
+      "directory": "qwen3vl8b-shared-cache-v1_20261007",
+      "bytes": 17545930320,
+      "files": 16,
+      "original_root": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/models/qwen3vl8b-shared-cache-v1_20261007",
+      "restored_relative": "models/qwen3vl8b-shared-cache-v1_20261007",
+      "provenance_file": "qwen3vl8b-shared-cache-v1_20261007/BACKUP_PROVENANCE.json"
+    },
+    {
+      "directory": "xvla_libero",
+      "bytes": 3519092380,
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+      "original_root": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/weights/xvla_libero",
+      "restored_relative": "models/xvla_libero",
+      "provenance_file": "xvla_libero/BACKUP_PROVENANCE.json"
+    }
+  ],
+  "archives": [
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+      "preserve_hardlinks": true
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+    {
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+      "unpack_directory": "original-libero",
+      "purpose": "Closed original LIBERO cases and representative traces",
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+      "sha256": "d40aa7694d73c0ddb227408f943f3b9afcfba24122d58b31f4aaed82e1392133",
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+    {
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+      "preserve_hardlinks": true
+    },
+    {
+      "file": "bounded-recovery-success-sources-20261026.tar.gz",
+      "unpack_directory": "bounded-recovery",
+      "purpose": "Selected positive bounded recovery source and receipts",
+      "bytes": 1800610,
+      "sha256": "5934c09a89fbf30c583056d681818dc0a6ae0439bd996b1f95d4e00b7e61c17f",
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+      "preserve_hardlinks": true
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+    {
+      "file": "final-runtime-dependencies-20261026.tar.gz",
+      "unpack_directory": "runtime",
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+      "sha256": "795d27fb34d687060e0f0daf335da523fa228ce9211fe85e3397fbcd8cc8c536",
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+  "statistics": {
+    "model_bytes": 79707927998,
+    "artifact_download_bytes": 2620714552,
+    "archive_unique_content_bytes_sum": 13892072529
+  },
+  "excluded_models": [
+    "qwen25vl7b",
+    "openvla_goal",
+    "openvla_spatial"
+  ],
+  "runtime_not_archived": [
+    "Container image layers",
+    "Host HCU/DTK/CUDA drivers and system runtime",
+    "Complete runnable Python virtual environments"
+  ],
+  "status": {
+    "cloud_bytes_verified": true,
+    "fresh_machine_restore_tested": false,
+    "experiment_replay_tested": false
+  },
+  "authority_files": [
+    "FINAL_WEIGHT_MANIFEST.json",
+    "ORIGINAL_LIBERO_SNAPSHOT.json",
+    "BOUNDED_RECOVERY_SOURCE_SCOPE.json"
+  ],
+  "historical_note": "ARCHIVE_SCOPE.json and UPLOAD_MANIFEST.json describe the initial source/results stage; their public-weights exclusion is superseded for the six models listed here. Preserve historical receipts. Use this record for current scope.",
+  "artifact_files": [
+    {
+      "path": "ARCHIVE_SCOPE.json",
+      "bytes": 1534,
+      "sha256": "5439d2bddf52c77b15c649113e297431c64967fc46400e14a69b5991b58cfd3b"
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+    {
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+      "bytes": 4825,
+      "sha256": "5eec5a21b328871db16097b11dc978f169fea40b623dd5db3c2a0db753bea63a"
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+      "path": "DEPENDENCY_EXPORT_SCOPE.json",
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+      "sha256": "3e27e967fb51e0c016c54d4bc86967b7c0580187a91a85361bf637f9b31b01b6"
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+      "path": "DEPENDENCY_SANITIZATION.json",
+      "bytes": 8879,
+      "sha256": "5911c58b727b453fd76f2d395db5ca2692e1f7dc608648f0bcc6e91ee6601559"
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+      "sha256": "ff339cd43b10360108db5284c7c2a6dfa1d56d127030b8958dabc4bc16fb812e"
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+      "sha256": "a8c2f1429ad72aff97f61a7b22e5b704d71f3231f9ce93e90fdf1929a298f944"
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+      "sha256": "c2512a9ee5e6211972e2d88b2d371fb4b4dd6665b79baec7bdad5191ab47e178"
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+    {
+      "path": "RESTORE_FINAL_BACKUP.md",
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+      "path": "RUNTIME_ARCHIVE_VALIDATION.json",
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+      "sha256": "78c9ecc59680c2f68632ed7989a1b081345d21eb95c83fcfec930e15918b60c6"
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+    {
+      "path": "RUNTIME_METADATA_RECEIPT.json",
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+      "sha256": "3824b65775b288e09fa6da78ab3a174f35d04d8822fb000419dead53593b9b59"
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+      "sha256": "3556ccb14e0faaaaeed0d6fc4f826803b8d662694b381fa976dceedfb515c4cd"
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reproduction/COMPLETED_CASE_INDEX.jsonl ADDED Viewed

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reproduction/ENVIRONMENT_PACKAGES.json ADDED Viewed

	@@ -0,0 +1,1070 @@

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reproduction/NEW_RUN_RECORD.template.json ADDED Viewed

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+  "known_differences_and_limitations": []
+}

reproduction/PATH_MAP.json ADDED Viewed

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+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openpi",
+      "new_relative": "unpacked/runtime/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openpi",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openvla_overlay/site",
+      "new_relative": "unpacked/runtime/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openvla_overlay/site",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/xvla_overlay/site",
+      "new_relative": "unpacked/runtime/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/xvla_overlay/site",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openvla_hf_cache",
+      "new_relative": "unpacked/runtime/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/openvla_hf_cache",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/xvla_hf_cache",
+      "new_relative": "unpacked/runtime/frozen_archive/extra-freeze-20260929T145255Z/frozen/assets-20260929-v1/dependencies/xvla_hf_cache",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/pi05_R/code",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/pi05_R/code",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/pi0_R/code",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/pi0_R/code",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/openvla_R/code",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/openvla_R/code",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/openvla_R/vla_native",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/openvla_R/vla_native",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/xvla_R/code",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/xvla_R/code",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/xvla_R/vla_native",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_fixed_retry32_20261016_v1/source_frozen/xvla_R/vla_native",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/liberopro_eval_20261012_v1/assets",
+      "new_relative": "unpacked/runtime/FastRSI/planning/liberopro_eval_20261012_v1/assets",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/liberopro_eval_20261012_v1/upstream",
+      "new_relative": "unpacked/runtime/FastRSI/planning/liberopro_eval_20261012_v1/upstream",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/liberopro_eval_20261012_v1/runtime_vendor",
+      "new_relative": "unpacked/runtime/FastRSI/planning/liberopro_eval_20261012_v1/runtime_vendor",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/liberopro_eval_20261012_v1/libero-config",
+      "new_relative": "unpacked/runtime/FastRSI/planning/liberopro_eval_20261012_v1/libero-config",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_stage_v2/venv",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_stage_v2/venv",
+      "status": "metadata_only_reinstall_required"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/pose_aux",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/pose_aux",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_cpu",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_cpu",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_stage_v2/data/megapose-models",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_rgb_pose_recovery_20261017_v1/megapose_stage_v2/data/megapose-models",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/FastRSI/planning/fastrsi_object_frame_recovery_20261017_v1/tokenizer_cache",
+      "new_relative": "unpacked/runtime/FastRSI/planning/fastrsi_object_frame_recovery_20261017_v1/tokenizer_cache",
+      "status": "payload_present"
+    },
+    {
+      "old_prefix": "/mnt/data/task/yuchen/FastPhyagentos/node_preservation_20261008_v1/node187/runtime_patch/ndarray.pyi",
+      "new_relative": "unpacked/runtime/node_preservation_20261008_v1/node187/runtime_patch/ndarray.pyi",
+      "status": "payload_present"
+    }
+  ],
+  "unmapped_host_requirements": [
+    "/opt/hyhal",
+    "/etc/hfm",
+    "/opt/dtk/env.sh"
+  ],
+  "note": "Review bindings in a new launch configuration; do not modify frozen files. Host runtime and metadata-only virtual environments are unresolved until installed."
+}

reproduction/PENDING_CASE_INDEX.jsonl ADDED Viewed

	@@ -0,0 +1,32 @@

+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 0, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 0, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 0, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 1, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 1, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 1, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 2, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 2, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 2, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 3, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 3, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 3, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 4, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 4, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 4, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 5, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 5, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 5, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 6, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 6, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 6, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 7, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 7, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 7, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 8, "init_state_id": 46, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 8, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 8, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 8, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 9, "init_state_id": 46, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 9, "init_state_id": 47, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 9, "init_state_id": 48, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}
+{"campaign": "libero_original_best_20261024_openvla_R_libero_goal_original", "task_id": 9, "init_state_id": 49, "status": "not_in_uploaded_closed_snapshot", "required_before_resuming": "Recover and verify original OpenVLA Goal checkpoint and new-machine runtime"}

reproduction/RECORD_VALIDATION.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+  "status": "PASS",
+  "pinned_artifact_files_verified": 30,
+  "corruption_detection": true,
+  "hardlinks_preserved_by_extraction": true,
+  "distinct_runtime_modes_restored": true,
+  "existing_output_rejected": true,
+  "full_80GB_local_model_download_tested": false,
+  "new_machine_gpu_reproduction_tested": false
+}

reproduction/RESUME_STATE.json ADDED Viewed

	@@ -0,0 +1,74 @@

+{
+  "captured_unix": 1793025102.3113816,
+  "scope": "original LIBERO, success_v2 recovery-enabled native R; no cross-episode learning",
+  "groups": {
+    "openvla/R/libero_goal/original": {
+      "n": 468,
+      "physical_success": 359,
+      "unknown": 0
+    },
+    "openvla/R/libero_object/original": {
+      "n": 500,
+      "physical_success": 439,
+      "unknown": 0
+    },
+    "openvla/R/libero_spatial/original": {
+      "n": 500,
+      "physical_success": 433,
+      "unknown": 0
+    },
+    "pi05/R/libero_goal/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "pi05/R/libero_object/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "pi05/R/libero_spatial/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "pi0/R/libero_goal/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "pi0/R/libero_object/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "pi0/R/libero_spatial/original": {
+      "n": 500,
+      "physical_success": 500,
+      "unknown": 0
+    },
+    "xvla/R/libero_goal/original": {
+      "n": 500,
+      "physical_success": 499,
+      "unknown": 0
+    },
+    "xvla/R/libero_object/original": {
+      "n": 500,
+      "physical_success": 492,
+      "unknown": 0
+    },
+    "xvla/R/libero_spatial/original": {
+      "n": 500,
+      "physical_success": 492,
+      "unknown": 0
+    }
+  },
+  "case_count": 5968,
+  "expected_cases": 6000,
+  "status": "snapshot; incomplete groups remain incomplete",
+  "excluded_files": [],
+  "captured_beijing": "2026-10-26T22:31:42.311382+08:00",
+  "remaining_expected_cases": 32,
+  "fresh_server_status": "Not checked; this records only the uploaded snapshot",
+  "resume_constraint": "OpenVLA Goal is partial, but its exact Goal checkpoint was excluded from the selected model backup. Recover and verify that checkpoint before resuming this group; do not substitute the LIBERO-10 or Object checkpoint."
+}

reproduction/START_HERE.md ADDED Viewed

	@@ -0,0 +1,142 @@

+# FastRSI 换设备恢复与续跑记录
+记录日期：2026-10-27，北京时间。数据快照取自 2026-10-26，云端文件复核时间见 `BACKUP_RECORD.json`。本记录覆盖已筛选的最终有效版本，不是服务器整盘镜像。
+## 1. 先看这些文件
+| 文件 | 用途 |
+|---|---|
+| `BACKUP_RECORD.json` | 三个仓库的固定提交、六组模型、五个压缩包、文件大小、SHA256 与备份边界 |
+| `PATH_MAP.json` | 原服务器路径 → 新工作目录相对路径；仅映射，不自动改动冻结代码 |
+| `ENVIRONMENT_PACKAGES.json` | 从归档读取的 170 条软件包元数据及三个容器镜像身份；不是完整环境锁文件 |
+| `RESUME_STATE.json` | 已上传实验快照的进度和未完成部分 |
+| `COMPLETED_CASE_INDEX.jsonl` | 5,968 个已完成案例的 campaign、任务、初始状态、记录路径和 SHA256 |
+| `PENDING_CASE_INDEX.jsonl` | 快照中尚缺的 32 个案例身份；仅用于核对，不自动运行 |
+| `verify_restore.py` | 统一下载校验与安全解压工具，不启动模型、模拟器或训练 |
+| `NEW_RUN_RECORD.template.json` | 换设备后另存的新环境与运行记录模板 |
+模型仓库每个目录的 `BACKUP_PROVENANCE.json` 记录来源；π0/π0.5 还保留转换清单。原始计数、失败和成本证据随结果包保存。
+## 2. 固定版本，不按未来的 main 漂移
+| 内容 | 仓库 | 本次数据/代码提交 |
+|---|---|---|
+| 冻结代码基线 | `https://github.com/pumpkin601/FastRSI` | `d221e09ebd816521eddb9730965a61c3d5b9c338` |
+| 最终权重 | `pumpkin601/FastRSI-final-weights` | `51bce91821b4eddc7e0f5a077c727a5c489e60bc` |
+| 结果与依赖 | `pumpkin601/FastRSI-artifacts`，dataset | `1bb22c1db2ed3045c93024ebba417b3b45d404f0` |
+本恢复记录另外保存在 GitHub 标签 **`backup-record-20261027-v1`**，也同步到两个 Hugging Face 仓库的 `reproduction/` 目录。上述数据提交刻意固定在这份说明加入之前，避免未来文档或数据变动造成版本混用。
+三个仓库均为私有。新设备需登录有权限的 GitHub 和 Hugging Face 账号；当前所有者为 `pumpkin601`。访问凭据不包含在备份里。
+## 3. 下载与校验
+下载/校验工具使用 Python 3.12+、Git，以及 `huggingface_hub==2.3.0`。这只是恢复工具环境，不是模型运行环境。GitHub HTTPS 认证可先用 `gh auth login` 与 `gh auth setup-git` 完成。
+选择一个新的工作目录后执行：
+```bash
+mkdir FastRSI-restore
+cd FastRSI-restore
+git clone --branch backup-record-20261027-v1 --single-branch https://github.com/pumpkin601/FastRSI.git record
+git -C record worktree add --detach ../code d221e09ebd816521eddb9730965a61c3d5b9c338
+python3 -m venv download-tools
+./download-tools/bin/python -m pip install huggingface_hub==2.3.0
+./download-tools/bin/hf auth login
+./download-tools/bin/hf download pumpkin601/FastRSI-final-weights --revision 51bce91821b4eddc7e0f5a077c727a5c489e60bc --local-dir models
+./download-tools/bin/hf download pumpkin601/FastRSI-artifacts --repo-type dataset --revision 1bb22c1db2ed3045c93024ebba417b3b45d404f0 --local-dir artifacts
+./download-tools/bin/python record/reproduction/verify_restore.py --workspace .
+```
+模型约 79.71 GB，资料约 2.62 GB；首次完整哈希校验需要读取这些文件。全量解压后的归档独立内容合计约 13.89 GB，另有代码、文件系统开销及环境。因此建议至少预留 **150 GB 可用空间**；还要安装大型运行环境、保存新检查点时，建议 **200 GB 或更多**。这是容量规划，不是硬件性能保证。
+如果先只下载资料，可以运行 `--scope artifacts` 校验；只校验模型用 `--scope models`。没有模型文件时，资料校验通过不代表模型已经恢复。
+### 统一校验工具与历史清单
+`artifacts/UPLOAD_MANIFEST.json` 是第一次备份的历史凭据，其中 README 的哈希对应早期说明。后续说明已更新，因此不要对当前组合快照直接运行旧 `verify_download.py` 来判断全部文件是否损坏。上面的统一工具按本记录固定的数据提交校验全部 30 个资料文件和 65 个模型文件；历史清单本身也会校验，原始证据不被重写。
+## 4. 解压、保留去重关系
+校验通过后执行：
+```bash
+./download-tools/bin/python record/reproduction/verify_restore.py --workspace . --extract
+```
+工具再次校验输入，然后分别解压到新的目录，避免不同历史版本相互覆盖：
+```text
+FastRSI-restore/
+  record/                  本恢复记录及其版本历史
+  code/                    固定代码提交，独立工作区
+  models/                  六组最终模型及配置
+  artifacts/               原始压缩包和凭据
+  unpacked/
+    reports/               报告、计数和成本证据
+    original-libero/       已完成案例与代表性轨迹
+    evaluation-source/     success_v2 冻结源码
+    bounded-recovery/      选定恢复研究源码与���终凭据
+    runtime/               冻结依赖、场景、视觉定位权重及补丁
+```
+五个解压目录必须尚不存在；中断产生的目录先另行保留，再选择新的输出位置。工具不会覆盖已有实验目录。
+**保留硬链接非常重要。** 原版 LIBERO 的案例包逻辑大小约 544 GB，其中大量条目引用同一份成本日志；实际独立内容小得多。工具使用 tar 硬链接恢复去重关系。复制解压结果时也要保留硬链接，避免用会展开重复文件的工具。支持硬链接的本地文件系统更合适。各包的逻辑体积与独立内容体积都记录在 `BACKUP_RECORD.json`。
+运行依赖的文件权限来自 `RUNTIME_FILE_MODES.json`；恢复工具会应用它，必要时拆开权限不同的硬链接。其他历史包按其原有归档权限恢复。
+## 5. 把旧路径映射到新机器
+旧项目根目录是 `/mnt/data/task/yuchen/FastPhyagentos`。不要仅做一次全局字符串替换：模型、源码、结果和运行依赖现在位于不同子目录。
+使用 `PATH_MAP.json`，先匹配最长路径前缀，并将 `new_relative` 拼接到新工作目录：
+- 六组模型分别位于 `models/<模型目录>`，保留原配置和归一化文件。
+- 归档依赖位于 `unpacked/runtime/<原项目相对路径>`。
+- success_v2 的主要源码和入口可从 `code/FastRSI/planning/libero_three_suites_20261024_success_v2/` 查找。
+- 某些冻结来源另在 `unpacked/evaluation-source/` 或 `unpacked/bounded-recovery/`；用包内清单确认文件与哈希，不能只按类似文件名选版本。
+- `metadata_only_reinstall_required` 的虚拟环境路径仅保留软件包元数据，不能当作已恢复的 Python 可执行环境。
+- `/opt/hyhal`、`/etc/hfm`、`/opt/dtk/env.sh` 是旧主机依赖，需要在新平台重新确认。
+把新路径、端口、设备编号和输出目录写入独立启动配置或适配补丁，记录改动与哈希；保留冻结源文件作为比较基线。旧 `owner.py`、资源绑定和调度文件含旧机器、GPU 与租约信息，不能把旧审计记录当作新机器可用状态直接执行。
+## 6. 环境恢复边界
+原运行环境包含 Linux amd64、HCU/DTK 和自定义镜像。macOS 可以下载、核验和查看结果，但无法直接运行这些 Linux/HCU 二进制。换成 NVIDIA/CUDA 时要重新安装匹配的框架与驱动，记录差异并重新验证。
+| 已记录的信息 | 尚需在新设备完成 |
+|---|---|
+| 三个镜像的本地 image ID、标签、架构与大小 | 获取或重建兼容镜像；本地 image ID 不等于可从注册表拉取的 digest，归档未包含镜像层 |
+| OpenVLA overlay：transformers 4.40.1、numpy 1.26.4 等 | 与对应基础环境组合验证 |
+| X-VLA overlay：transformers 4.57.1 等 | 与对应基础环境组合验证，避免混装成一套环境 |
+| Megapose 元数据位于 Python 3.8 环境；包括 numpy 1.23.5、Panda3D 1.10.14 | 重建兼容环境及外部框架依赖；元数据不是完整 lockfile |
+| 冻结代码、模型、场景、补丁与版本校验值 | 路径映射、驱动/显存、模型加载、渲染和一个固定样例的实际验证 |
+`ENVIRONMENT_PACKAGES.json` 按原目录分组；其中还包含包内部 vendor 元数据。不要把所有组直接合并为一个 pip requirements 文件。GPU 型号/显存的最低要求未在新机器实测，不能据当前记录承诺任意设备可运行。
+## 7. 选择正确实验入口与续跑位置
+| 工作 | 先读取的依据 |
+|---|---|
+| 原版 LIBERO 三套件 success_v2 | `code/FastRSI/planning/libero_three_suites_20261024_success_v2/RUN_PLAN.json`、`SOURCE_BINDINGS.json`、`ASSET_INDEX_FINAL.json` 及所选资源绑定文件 |
+| FINAL48 有限恢复研究 | `FastRSI/planning/fastrsi_success_efficiency_20261018_v1/FINAL48_RECEIPT_20261018T025341Z.json`，位置见 bounded-recovery 包清单 |
+| Object 剩余任务恢复研究 | `FastRSI/planning/libero_object_remaining7_20261021_v1/FINAL_COMPARISON_01.json`，以及 `runtime_bundle_v3/BUILD_INPUT_MANIFEST.json` |
+success_v2 原始计划：12 个组，每组 10 个任务 × 50 个初始状态，seed=7；Spatial/Object/Goal 的步数上限分别为 220/280/300；最大 native replans=5，physical attempts=6。不要把这些配置套到别的研究，具体仍以对应冻结计划为准。
+本次上传快照共有 **5,968 / 6,000** 个闭合案例。11 个组各 500 个，OpenVLA Goal 为 **468 / 500**，还差 32 个，身份列在 `PENDING_CASE_INDEX.jsonl`。`COMPLETED_CASE_INDEX.jsonl` 提供完成身份和终态记录位置；续跑前以 `(campaign, task_id, init_state_id)` 核对已经完成的案例，并核验相应 `TERMINAL_CASE.json`。这只说明已上传快照的进度，不代表此后服务器没有新结果。
+**OpenVLA Goal/Spatial 专用权重未纳入这次选定模型备份。** 若要重新跑或补齐这些组，需先依据冻结配置找回并核对相应权重；不能用 LIBERO-10 或 Object 权重代替后仍称为同一实验。旧 Qwen2.5 和其他排除项同样按原研究依赖另行恢复。
+在新机器先完成文件核验和环境检查，再选一个固定样例验证加载、渲染、动作与结果闭合。新复现运行使用独立 run ID、输出目录和新的运行记录；历史成功、失败、完整分母和成本保留，不能只重跑失败项后合并成更高成功率。原版 LIBERO 与 LIBERO-Pro、纯 VLA 与 P/R、不同预算和版本分别报告。
+## 8. 每次继续时留记录
+复制 `NEW_RUN_RECORD.template.json` 到新的运行目录，记录：机器与 GPU/驱动、Python/包版本、三个仓库提交、路径映射、适配补丁哈希、所用模型与场景哈希、实验参数、固定样例结果、已完成案例身份和新输出位置。
+目前已验证的是云端备份内容与文件校验；**尚未在另一台设备实际恢复并重跑实验**。完成新机器的固定样例验证后，再把该运行结果和环境记录作为新的复现凭据保存。

reproduction/verify_restore.py ADDED Viewed

	@@ -0,0 +1,59 @@

+"""Verify pinned backup downloads and optionally extract archives. Never runs an experiment."""
+import argparse,hashlib,json,os,shutil,sys,tarfile,tempfile
+from pathlib import Path
+def verify_file(root,row):
+ rel=Path(row['path'])
+ if rel.is_absolute() or '..' in rel.parts:raise ValueError('Unsafe manifest path')
+ file=root/rel
+ if not file.is_file() or file.stat().st_size!=row['bytes']:raise ValueError('Missing or wrong size: '+str(file))
+ with file.open('rb') as stream:digest=hashlib.file_digest(stream,'sha256').hexdigest()
+ if digest!=row['sha256']:raise ValueError('SHA256 mismatch: '+str(file))
+def extract_archive(archive,destination):
+ if sys.version_info<(3,12):raise RuntimeError('Python 3.12+ required for extraction')
+ if destination.exists():raise FileExistsError('Use a new extraction directory: '+str(destination))
+ destination.mkdir(parents=True)
+ with tarfile.open(archive) as stream:stream.extractall(destination,filter='data')
+def restore_modes(root,modes):
+ for rel,mode in modes.items():
+  path=Path(rel)
+  if path.is_absolute() or '..' in path.parts:raise ValueError('Unsafe permission path')
+  file=root/path
+  if not file.is_file() or file.is_symlink():raise ValueError('Missing regular runtime file: '+str(file))
+  if file.stat().st_mode & 0o777==mode:continue
+  if file.stat().st_nlink>1:
+   with tempfile.NamedTemporaryFile(dir=file.parent,delete=False) as tmp:
+    with file.open('rb') as source:shutil.copyfileobj(source,tmp)
+    name=tmp.name
+   os.replace(name,file)
+  file.chmod(mode & 0o777)
+def main():
+ parser=argparse.ArgumentParser(description=__doc__)
+ parser.add_argument('--workspace',type=Path,required=True)
+ parser.add_argument('--scope',choices=['all','artifacts','models'],default='all')
+ parser.add_argument('--extract',action='store_true',help='Extract all five verified archives into new unpacked/<label> directories.')
+ args=parser.parse_args();root=args.workspace.resolve();record=json.loads(Path(__file__).with_name('BACKUP_RECORD.json').read_text())
+ if args.extract and args.scope=='models':parser.error('--extract requires artifacts or all')
+ count=0
+ if args.scope in {'all','artifacts'}:
+  for r in record['artifact_files']:
+   verify_file(root/'artifacts',r);count+=1;print('OK artifact',r['path'],flush=True)
+ if args.scope in {'all','models'}:
+  manifest=root/'models/FINAL_WEIGHT_MANIFEST.json'
+  with manifest.open('rb') as stream:assert hashlib.file_digest(stream,'sha256').hexdigest()==record['model_manifest_sha256'],'Model manifest identity mismatch'
+  for r in json.loads(manifest.read_text())['files']:
+   verify_file(root/'models',{'path':r['repo_path'],'bytes':r['bytes'],'sha256':r['sha256']});count+=1;print('OK model',r['repo_path'],flush=True)
+ if args.extract:
+  if sys.version_info<(3,12):raise RuntimeError('Python 3.12+ required for extraction')
+  destinations=[root/'unpacked'/r['unpack_directory'] for r in record['archives']]
+  if any(p.exists() for p in destinations):raise FileExistsError('At least one output directory exists; choose a new workspace or move previous outputs aside.')
+  required=record['statistics']['archive_unique_content_bytes_sum']+5_000_000_000
+  if shutil.disk_usage(root).free<required:raise RuntimeError('Insufficient free space for extraction and metadata overhead')
+  for r,dest in zip(record['archives'],destinations):
+   extract_archive(root/'artifacts'/r['file'],dest);print('EXTRACTED',r['unpack_directory'],flush=True)
+  restore_modes(root/'unpacked/runtime',json.loads((root/'artifacts/RUNTIME_FILE_MODES.json').read_text()))
+ print('PASS:',count,'payload files verified. This is not a GPU/runtime readiness or reproduction result.')
+if __name__=='__main__':main()