Index 18 hist8 VLA models and publish portable configs with 27 evaluations

README.md

@@ -18,3 +18,9 @@ Extreme Parkour and HAIC artifacts are intentionally not published until their c
 Historical source repositories remain unchanged: MIKASA model revision `38327e16f9b33cf5f827b54a606cb4c22d4dfbfc` and Balance model revision `734dcedcafbcbffab7f8665d09de42a9c8416d38`.
 
 See the repository artifact registry for exact task contracts and reproduction commands.
+
+## Hist8 VLA models (2026-09-24)
+
+18 final step-5000 models for Flappy, Demon Attack and Deadly Corridor are published under `zero-latency/<game>/vla/starvla-<model>-h1/<run-id>` (9) and `latency-aware/<game>/vla/starvla-<model>-h1/<run-id>` (9). Each uses one RGB image and eight raw 0/1 decision histories. All 27 formal evaluation conditions have 100 episodes.
+
+See [the hist8 model index and evaluation matrix](reports/hist8-v2/README.md) and [model paths / checkpoint SHA256](reports/hist8-v2/models.json).

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/README.md

@@ -10,7 +10,7 @@ Full StarVLA state dict in `checkpoints/model.pt` (original evaluated bytes). In
 
 One current RGB image, eight prior causal decision histories (120 raw 0/1 values), action horizon 1. `h1` in this repository path is the action horizon; `hist8` is input history. Pass history as `transport`, preserve all-zero reset, and use identity state normalization. Prompt and action order are in `task_contract.json` and `manifest.json`.
 
-Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Full historical training configuration and code snapshot are included.
+Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Training configuration and code snapshot are included; operational paths are represented as archive-relative references.
 
 ## Formal evaluation
 
@@ -20,7 +20,7 @@ Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 1
 
 Seeds 1,000,000–1,000,099; parallel 32; capacity 1; FPS/decision Hz 35/8.75; max 3600 raw frames. Zero-trained models have both zero and profile evaluations; profile-trained models have the matching profile evaluation. `profiles/profile.json` is the exact model-specific latency profile, with SHA in provenance.
 
-Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Evaluation configs retain original machine paths as execution evidence; replace checkpoint, model-config, backbone, profile and output paths when replaying locally. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
+Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Replay configs use bundle-relative checkpoint, model-config and profile paths. Run from the model directory; set `policy.backbone_path` (`BACKBONE_SNAPSHOT`) to a local snapshot of the pinned Qwen revision, and set `policy.worker_python_executable` to the matching inference Python. `source_archive/` entries in training metadata identify source evidence; they are not included datasets or runnable local paths. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
 
 These are one-training-seed results. Architectures use different latency profiles. Zero/profile training also uses different teachers and collected data, so their score difference is not an isolated learning-rate ablation.
 

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/config.full.yaml

@@ -1,7 +1,7 @@
 framework:
   name: QwenGR00T
   qwenvl:
-    base_vlm: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+    base_vlm: Qwen/Qwen3-VL-4B-Instruct
     attn_implementation: flash_attention_2
     vl_hidden_dim: 2048
     enable_gradient_checkpointing: true
@@ -46,10 +46,10 @@ datasets:
   vla_data:
     dataset_py: lerobot_datasets
     include_state: true
-    data_root_dir: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t
+    data_root_dir: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t
     data_mix: lerobot
     eval_data_mix: lerobot__val
-    custom_mixtures_path: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/_generated_mixtures/lerobot.json
+    custom_mixtures_path: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/_generated_mixtures/lerobot.json
     action_type: discrete
     sequential_step_sampling: false
     eval_sequential_step_sampling: null
@@ -182,7 +182,7 @@ trainer:
     batch_size: 8
     bootstrap_repeats: 4000
 workspace_dir: WORKSPACE_DIR
-run_root_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
+run_root_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
 seed: 42
 wandb_entity: saberrr-zju
 wandb_project: starvla_tasks
@@ -194,7 +194,7 @@ paths:
   run_root_dir: results/Checkpoints
   dataset_local_dir: playground/Datasets/rl_games
   dataset_cache_dir: null
-  base_model_dir: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+  base_model_dir: source_archive/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
   accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
 launch:
   use_accelerate: true
@@ -283,8 +283,8 @@ checkpoint:
     sync_every_n_checkpoints: 1
     resume_policy: local_latest
 run_id: deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16
-output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16
-config_yaml: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/train.yaml
+output_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16
+config_yaml: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/train.yaml
 is_debug: false
 version_id: '0.21'
 wandb_name: deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/dataset_statistics.json

@@ -802,4 +802,4 @@
     "num_transitions": 330543,
     "num_trajectories": 6975
   }
-}
+}

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/evaluations/profile/eval_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
 training:
   train_for_env_steps: 25000000
@@ -153,7 +153,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/evaluations/profile/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000031048_15896576_reward_2265.338.pth",
     "teacher_sha256": "618e6bfef84cf4e31207a0eac43db8a5c3fa6c1757e20a116a4f93d26bc970d6",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "78e19fdd6ceb9f06d830f1b5314fd64e3a825aad8f5672ebe203372bc0791e39",
     "episodes": 7750,
     "filter_preset": "none",

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/evaluations/profile/resolved_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
   action_prefix:
     mode: none
@@ -155,7 +155,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/evaluations/profile/summary.json

@@ -1,5 +1,5 @@
 {
-  "checkpoint_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/checkpoints/model.pt",
+  "checkpoint_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/checkpoints/model.pt",
   "experiment_name": "deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-step5000-history01-profile-par32",
   "latency": "profile_sample",
   "latency_type": "profile_sample",
@@ -210,7 +210,7 @@
     2281.234603881836
   ],
   "seed": 1000000,
-  "source_profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+  "source_profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
   "std_return": 552.1152576989377,
   "suite_name": "profile_sample",
   "timestamp_utc": "2026-09-23T23:58:03.670535+00:00"

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/evaluations/profile/verification.json

@@ -3,7 +3,7 @@
   "job_id": "eval_v2__deadly_corridor-qwengr00t-hist8-scratch-s42-v2",
   "task": "deadly_corridor",
   "model": "qwengr00t",
-  "remote_eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4",
+  "remote_eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4",
   "checked_at": 1790208001.919022,
   "training_step": 5000,
   "checkpoint_sha256": "a68c7ec382c18367164a938eae0332cb8e1cbea28b94907e9640717cd5d7d3d2",
@@ -49,22 +49,22 @@
   "job": {
     "id": "eval_v2__deadly_corridor-qwengr00t-hist8-scratch-s42-v2",
     "source": "v2",
-    "python": "/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
+    "python": "source_archive/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
     "task": "deadly_corridor",
     "model": "qwengr00t",
-    "backbone": "/mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
-    "profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
-    "bundle_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16",
+    "backbone": "source_archive/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "bundle_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16",
     "priority": 1000,
     "depends_on": [],
     "kind": "eval_ready",
-    "runtime_root": "/mnt/ssd/codex/hist8-vla-eval-sf-render-v4-20260924",
+    "runtime_root": "source_archive/hist8-vla-eval-sf-render-v4-20260924",
     "env_condition": "profile",
     "parallel_envs": 32,
     "metric_prefix": "eval_hist8_v4/profile_to_profile",
-    "eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4",
+    "eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16-to-profile-par32-sf-render-v4",
     "gpus_required": 2,
-    "ready_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/bundle.complete.json"
+    "ready_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/bundle.complete.json"
   },
-  "evidence_dir": "/home/lixinyuan/latency-sensitive-bench/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__deadly_corridor-qwengr00t-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
+  "evidence_dir": "source_archive/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__deadly_corridor-qwengr00t-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
 }

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/manifest.json

@@ -7,7 +7,7 @@
     "You are playing Deadly Corridor in VizDoom. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. The available actions are: MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, and ATTACK. Choose the best next action from the current visual observation."
   ],
   "format": "starvla_lerobot_v2_decision_v1",
-  "source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/raw",
+  "source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/raw",
   "robot_type": "rl_games_deadly_corridor",
   "action_layout": "multibinary_7",
   "source_action_layout": "deadly_corridor_joint_54",
@@ -396,8 +396,8 @@
   "rows_unit": "decision_step",
   "obs_fps": 8.75,
   "obs_stride_raw_frames": 4,
-  "latency_prompt_map_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/lerobot/latency_prompt_map.json",
-  "custom_mixtures_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/_generated_mixtures/lerobot.json",
+  "latency_prompt_map_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/lerobot/latency_prompt_map.json",
+  "custom_mixtures_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/_generated_mixtures/lerobot.json",
   "validation_dataset_name": "lerobot__val",
   "validation_episodes": 775,
   "validation_frames": 36811

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000031048_15896576_reward_2265.338.pth",
     "teacher_sha256": "618e6bfef84cf4e31207a0eac43db8a5c3fa6c1757e20a116a4f93d26bc970d6",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "78e19fdd6ceb9f06d830f1b5314fd64e3a825aad8f5672ebe203372bc0791e39",
     "episodes": 7750,
     "filter_preset": "none",
@@ -68,5 +68,10 @@
       },
       "environment_condition": "profile"
     }
-  ]
+  ],
+  "export_notes": {
+    "checkpoint": "Original evaluated bytes; SHA unchanged.",
+    "paths": "Operational paths in metadata are archive-relative. source_archive references describe source evidence and are not files shipped in this inference bundle.",
+    "replay": "Run from this model directory. Set BACKBONE_SNAPSHOT to the pinned Qwen snapshot and policy.worker_python_executable to the matching inference Python. Evaluated environment settings and profile bytes are unchanged."
+  }
 }

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/rollout_metadata.json

@@ -308,7 +308,7 @@
     "vizdoom_init_retry_jitter_sec": 0.25,
     "vtrace_c": 1.0,
     "vtrace_rho": 1.0,
-    "wandb_dir": "/mnt/ssd/latency-sensitive-bench/wandb",
+    "wandb_dir": "source_archive/mnt/ssd/latency-sensitive-bench/wandb",
     "wandb_group": "deadly-corridor-fs4-gr00t_rtx3090_temporal_hist8_capacity1_native35",
     "wandb_job_type": "deadly_corridor_decision_history_native35_temporal",
     "wandb_project": "starvla_tasks",
@@ -329,10 +329,10 @@
     "with_wandb": true,
     "worker_num_splits": 2
   },
-  "checkpoint_experiment_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
-  "checkpoint_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000031048_15896576_reward_2265.338.pth",
+  "checkpoint_experiment_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
+  "checkpoint_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000031048_15896576_reward_2265.338.pth",
   "checkpoint_train_step": 31048,
-  "config_source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
+  "config_source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/models/latency-aware/deadly-corridor/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
   "context_image_count": 0,
   "context_window": 1,
   "env_fps": 35.0,

latency-aware/deadly-corridor/vla/starvla-qwengr00t-h1/deadly_corridor-qwengr00t-hist8-scratch-s42-v2-workers16/run_metadata.json

@@ -12,7 +12,7 @@
   "eval_num_workers_per_rank": 16,
   "prefetch_factor": 4,
   "base_model_revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17",
-  "dataset_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/lerobot",
+  "dataset_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwengr00t/lerobot",
   "dataset_manifest_sha256": "ff4ce3dcb19143bd00f4da7486b50edee5827184f674c041e1536df8c0cc27b8",
   "code_snapshot_sha256": "4fdfd05c7faaa60fb697f4d2bd169b94979d9626b8ebe52ac01b9b6a6faecf8d"
 }

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/README.md

@@ -10,7 +10,7 @@ Full StarVLA state dict in `checkpoints/model.pt` (original evaluated bytes). In
 
 One current RGB image, eight prior causal decision histories (120 raw 0/1 values), action horizon 1. `h1` in this repository path is the action horizon; `hist8` is input history. Pass history as `transport`, preserve all-zero reset, and use identity state normalization. Prompt and action order are in `task_contract.json` and `manifest.json`.
 
-Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Full historical training configuration and code snapshot are included.
+Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Training configuration and code snapshot are included; operational paths are represented as archive-relative references.
 
 ## Formal evaluation
 
@@ -20,7 +20,7 @@ Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 1
 
 Seeds 1,000,000–1,000,099; parallel 32; capacity 1; FPS/decision Hz 35/8.75; max 3600 raw frames. Zero-trained models have both zero and profile evaluations; profile-trained models have the matching profile evaluation. `profiles/profile.json` is the exact model-specific latency profile, with SHA in provenance.
 
-Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Evaluation configs retain original machine paths as execution evidence; replace checkpoint, model-config, backbone, profile and output paths when replaying locally. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
+Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Replay configs use bundle-relative checkpoint, model-config and profile paths. Run from the model directory; set `policy.backbone_path` (`BACKBONE_SNAPSHOT`) to a local snapshot of the pinned Qwen revision, and set `policy.worker_python_executable` to the matching inference Python. `source_archive/` entries in training metadata identify source evidence; they are not included datasets or runnable local paths. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
 
 These are one-training-seed results. Architectures use different latency profiles. Zero/profile training also uses different teachers and collected data, so their score difference is not an isolated learning-rate ablation.
 

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.full.yaml

@@ -1,7 +1,7 @@
 framework:
   name: QwenOFT
   qwenvl:
-    base_vlm: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+    base_vlm: Qwen/Qwen3-VL-4B-Instruct
     attn_implementation: flash_attention_2
     enable_gradient_checkpointing: true
   action_model:
@@ -26,10 +26,10 @@ datasets:
   vla_data:
     dataset_py: lerobot_datasets
     include_state: true
-    data_root_dir: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft
+    data_root_dir: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft
     data_mix: lerobot
     eval_data_mix: lerobot__val
-    custom_mixtures_path: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/_generated_mixtures/lerobot.json
+    custom_mixtures_path: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/_generated_mixtures/lerobot.json
     action_type: discrete
     sequential_step_sampling: false
     eval_sequential_step_sampling: null
@@ -133,7 +133,7 @@ trainer:
   gradient_accumulation_steps: 1
   distributed_backend: deepspeed
   is_resume: true
-  pretrained_checkpoint: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/steps_1890_state
+  pretrained_checkpoint: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/steps_1890_state
   resume_step: 1890
   reload_modules: null
   optimizer:
@@ -159,7 +159,7 @@ trainer:
     batch_size: 8
     bootstrap_repeats: 4000
 workspace_dir: WORKSPACE_DIR
-run_root_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
+run_root_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
 seed: 42
 wandb_entity: saberrr-zju
 wandb_project: starvla_tasks
@@ -171,7 +171,7 @@ paths:
   run_root_dir: results/Checkpoints
   dataset_local_dir: playground/Datasets/rl_games
   dataset_cache_dir: null
-  base_model_dir: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+  base_model_dir: source_archive/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
   accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
 launch:
   use_accelerate: true
@@ -260,8 +260,8 @@ checkpoint:
     sync_every_n_checkpoints: 1
     resume_policy: local_latest
 run_id: deadly_corridor-qwenoft-hist8-scratch-s42-v2
-output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2
-config_yaml: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/train.yaml
+output_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2
+config_yaml: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenoft-hist8-scratch-s42-v2/train.yaml
 is_debug: false
 version_id: '0.21'
 wandb_name: deadly_corridor-qwenoft-hist8-scratch-s42-v2

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/dataset_statistics.json

@@ -802,4 +802,4 @@
     "num_transitions": 320105,
     "num_trajectories": 7650
   }
-}
+}

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
 training:
   train_for_env_steps: 25000000
@@ -153,7 +153,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000044776_22925312_reward_2084.409.pth",
     "teacher_sha256": "62eee5b587bde20cc912fde9c068d92498a6433b62dec28f8e994004fb8e7e18",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "bbfb93cef9f63750a9a159ec10a93a9fc6c25e4cb0cac3b39532663b4dc11eba",
     "episodes": 8500,
     "filter_preset": "none",

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/resolved_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
   action_prefix:
     mode: none
@@ -155,7 +155,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/summary.json

@@ -1,5 +1,5 @@
 {
-  "checkpoint_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt",
+  "checkpoint_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt",
   "experiment_name": "deadly_corridor-qwenoft-hist8-scratch-s42-v2-step5000-history01-profile-par32",
   "latency": "profile_sample",
   "latency_type": "profile_sample",
@@ -210,7 +210,7 @@
     2279.032180786133
   ],
   "seed": 1000000,
-  "source_profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+  "source_profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
   "std_return": 579.6123067681043,
   "suite_name": "profile_sample",
   "timestamp_utc": "2026-09-23T23:56:33.931684+00:00"

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/evaluations/profile/verification.json

@@ -3,7 +3,7 @@
   "job_id": "eval_v2__deadly_corridor-qwenoft-hist8-scratch-s42-v2",
   "task": "deadly_corridor",
   "model": "qwenoft",
-  "remote_eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4",
+  "remote_eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4",
   "checked_at": 1790207994.4064398,
   "training_step": 5000,
   "checkpoint_sha256": "29e42431b2fb4e83e74f21c0e7e108d43ebbeb91ab7c34da06c33cb0652fb56c",
@@ -49,22 +49,22 @@
   "job": {
     "id": "eval_v2__deadly_corridor-qwenoft-hist8-scratch-s42-v2",
     "source": "v2",
-    "python": "/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
+    "python": "source_archive/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
     "task": "deadly_corridor",
     "model": "qwenoft",
-    "backbone": "/mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
-    "profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
-    "bundle_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2",
+    "backbone": "source_archive/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "bundle_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2",
     "priority": 1000,
     "depends_on": [],
     "kind": "eval_ready",
-    "runtime_root": "/mnt/ssd/codex/hist8-vla-eval-sf-render-v4-20260924",
+    "runtime_root": "source_archive/hist8-vla-eval-sf-render-v4-20260924",
     "env_condition": "profile",
     "parallel_envs": 32,
     "metric_prefix": "eval_hist8_v4/profile_to_profile",
-    "eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4",
+    "eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenoft-hist8-scratch-s42-v2-to-profile-par32-sf-render-v4",
     "gpus_required": 2,
-    "ready_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/bundle.complete.json"
+    "ready_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenoft-hist8-scratch-s42-v2/bundle.complete.json"
   },
-  "evidence_dir": "/home/lixinyuan/latency-sensitive-bench/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__deadly_corridor-qwenoft-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
+  "evidence_dir": "source_archive/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__deadly_corridor-qwenoft-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
 }

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/manifest.json

@@ -7,7 +7,7 @@
     "You are playing Deadly Corridor in VizDoom. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. The available actions are: MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, and ATTACK. Choose the best next action from the current visual observation."
   ],
   "format": "starvla_lerobot_v2_decision_v1",
-  "source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/raw",
+  "source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/raw",
   "robot_type": "rl_games_deadly_corridor",
   "action_layout": "multibinary_7",
   "source_action_layout": "deadly_corridor_joint_54",
@@ -396,8 +396,8 @@
   "rows_unit": "decision_step",
   "obs_fps": 8.75,
   "obs_stride_raw_frames": 4,
-  "latency_prompt_map_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/lerobot/latency_prompt_map.json",
-  "custom_mixtures_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/_generated_mixtures/lerobot.json",
+  "latency_prompt_map_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/lerobot/latency_prompt_map.json",
+  "custom_mixtures_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/_generated_mixtures/lerobot.json",
   "validation_dataset_name": "lerobot__val",
   "validation_episodes": 850,
   "validation_frames": 35269

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000044776_22925312_reward_2084.409.pth",
     "teacher_sha256": "62eee5b587bde20cc912fde9c068d92498a6433b62dec28f8e994004fb8e7e18",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "bbfb93cef9f63750a9a159ec10a93a9fc6c25e4cb0cac3b39532663b4dc11eba",
     "episodes": 8500,
     "filter_preset": "none",
@@ -68,5 +68,10 @@
       },
       "environment_condition": "profile"
     }
-  ]
+  ],
+  "export_notes": {
+    "checkpoint": "Original evaluated bytes; SHA unchanged.",
+    "paths": "Operational paths in metadata are archive-relative. source_archive references describe source evidence and are not files shipped in this inference bundle.",
+    "replay": "Run from this model directory. Set BACKBONE_SNAPSHOT to the pinned Qwen snapshot and policy.worker_python_executable to the matching inference Python. Evaluated environment settings and profile bytes are unchanged."
+  }
 }

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/rollout_metadata.json

@@ -308,7 +308,7 @@
     "vizdoom_init_retry_jitter_sec": 0.25,
     "vtrace_c": 1.0,
     "vtrace_rho": 1.0,
-    "wandb_dir": "/mnt/ssd/latency-sensitive-bench/wandb",
+    "wandb_dir": "source_archive/mnt/ssd/latency-sensitive-bench/wandb",
     "wandb_group": "deadly-corridor-fs4-qwenoft_rtx3090_temporal_hist8_capacity1_native35",
     "wandb_job_type": "deadly_corridor_decision_history_native35_temporal",
     "wandb_project": "starvla_tasks",
@@ -329,10 +329,10 @@
     "with_wandb": true,
     "worker_num_splits": 2
   },
-  "checkpoint_experiment_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
-  "checkpoint_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000044776_22925312_reward_2084.409.pth",
+  "checkpoint_experiment_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
+  "checkpoint_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000044776_22925312_reward_2084.409.pth",
   "checkpoint_train_step": 44776,
-  "config_source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
+  "config_source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/models/latency-aware/deadly-corridor/small-policy/sample-factory-qwenoft-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
   "context_image_count": 0,
   "context_window": 1,
   "env_fps": 35.0,

latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/run_metadata.json

@@ -11,7 +11,7 @@
   "eval_num_workers_per_rank": 16,
   "prefetch_factor": 4,
   "base_model_revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17",
-  "dataset_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/lerobot",
+  "dataset_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenoft/lerobot",
   "dataset_manifest_sha256": "a24c5d5e384c572d13559d3c027c6737565f9861ad3fff3b9cfac1689f3a1435",
   "code_snapshot_sha256": "a87288eda53e8a6c45adf04e81f1236d5829d8eb2fe145e0e001310d6a9ebbbe"
 }

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/README.md

@@ -10,7 +10,7 @@ Full StarVLA state dict in `checkpoints/model.pt` (original evaluated bytes). In
 
 One current RGB image, eight prior causal decision histories (120 raw 0/1 values), action horizon 1. `h1` in this repository path is the action horizon; `hist8` is input history. Pass history as `transport`, preserve all-zero reset, and use identity state normalization. Prompt and action order are in `task_contract.json` and `manifest.json`.
 
-Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Full historical training configuration and code snapshot are included.
+Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Training configuration and code snapshot are included; operational paths are represented as archive-relative references.
 
 ## Formal evaluation
 
@@ -20,7 +20,7 @@ Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 1
 
 Seeds 1,000,000–1,000,099; parallel 32; capacity 1; FPS/decision Hz 35/8.75; max 3600 raw frames. Zero-trained models have both zero and profile evaluations; profile-trained models have the matching profile evaluation. `profiles/profile.json` is the exact model-specific latency profile, with SHA in provenance.
 
-Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Evaluation configs retain original machine paths as execution evidence; replace checkpoint, model-config, backbone, profile and output paths when replaying locally. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
+Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Replay configs use bundle-relative checkpoint, model-config and profile paths. Run from the model directory; set `policy.backbone_path` (`BACKBONE_SNAPSHOT`) to a local snapshot of the pinned Qwen revision, and set `policy.worker_python_executable` to the matching inference Python. `source_archive/` entries in training metadata identify source evidence; they are not included datasets or runnable local paths. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
 
 These are one-training-seed results. Architectures use different latency profiles. Zero/profile training also uses different teachers and collected data, so their score difference is not an isolated learning-rate ablation.
 

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/config.full.yaml

@@ -1,7 +1,7 @@
 framework:
   name: QwenPI_v3
   qwenvl:
-    base_vlm: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+    base_vlm: Qwen/Qwen3-VL-4B-Instruct
     attn_implementation: flash_attention_2
     vl_hidden_dim: 2560
     num_vl_layers: 36
@@ -49,10 +49,10 @@ datasets:
   vla_data:
     dataset_py: lerobot_datasets
     include_state: true
-    data_root_dir: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3
+    data_root_dir: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3
     data_mix: lerobot
     eval_data_mix: lerobot__val
-    custom_mixtures_path: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/_generated_mixtures/lerobot.json
+    custom_mixtures_path: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/_generated_mixtures/lerobot.json
     action_type: discrete
     sequential_step_sampling: false
     eval_sequential_step_sampling: null
@@ -185,7 +185,7 @@ trainer:
     batch_size: 8
     bootstrap_repeats: 4000
 workspace_dir: WORKSPACE_DIR
-run_root_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
+run_root_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
 seed: 42
 wandb_entity: saberrr-zju
 wandb_project: starvla_tasks
@@ -197,7 +197,7 @@ paths:
   run_root_dir: results/Checkpoints
   dataset_local_dir: playground/Datasets/rl_games
   dataset_cache_dir: null
-  base_model_dir: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+  base_model_dir: source_archive/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
   accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
 launch:
   use_accelerate: true
@@ -286,8 +286,8 @@ checkpoint:
     sync_every_n_checkpoints: 1
     resume_policy: local_latest
 run_id: deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6
-output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6
-config_yaml: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/train.yaml
+output_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6
+config_yaml: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/train.yaml
 is_debug: false
 version_id: '0.21'
 wandb_name: deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/dataset_statistics.json

@@ -802,4 +802,4 @@
     "num_transitions": 323787,
     "num_trajectories": 7650
   }
-}
+}

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/evaluations/profile/eval_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/checkpoints/model.pt
-  model_config_path: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
-  worker_python_executable: /home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
 training:
   train_for_env_steps: 25000000
@@ -153,7 +153,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/evaluations/profile/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000034720_17776640_reward_1806.008.pth",
     "teacher_sha256": "ea036c7cc6391913f04210e36aeee8503d0ce23fc94909ca00b820758b245209",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "ccadd20b8a6b6833f9f02fd34c2a67e1a43a468a6d000d94252c819224422b43",
     "episodes": 8500,
     "filter_preset": "none",

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/evaluations/profile/resolved_config.yaml

@@ -84,7 +84,7 @@ env:
   render_particles: false
 latency:
   method: temporal
-  profile_path: /home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -101,14 +101,14 @@ policy:
   - TURN_LEFT
   - TURN_RIGHT
   - ATTACK
-  checkpoint_path: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/checkpoints/model.pt
-  model_config_path: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
   action_layout: multibinary_7
-  backbone_path: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
-  worker_python_executable: /home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
   action_prefix:
     mode: none
@@ -155,7 +155,7 @@ evaluation:
     uniform: []
   eval_latency_values: null
 logging:
-  output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/evaluations/profile/summary.json

@@ -1,5 +1,5 @@
 {
-  "checkpoint_path": "/home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/checkpoints/model.pt",
+  "checkpoint_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/checkpoints/model.pt",
   "experiment_name": "deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-step5000-history01-profile-par32",
   "latency": "profile_sample",
   "latency_type": "profile_sample",
@@ -210,7 +210,7 @@
     619.7261962890625
   ],
   "seed": 1000000,
-  "source_profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+  "source_profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
   "std_return": 843.0353709402635,
   "suite_name": "profile_sample",
   "timestamp_utc": "2026-09-23T23:58:01.128465+00:00"

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/evaluations/profile/verification.json

@@ -3,7 +3,7 @@
   "job_id": "eval_v2__deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2",
   "task": "deadly_corridor",
   "model": "qwenpi_v3",
-  "remote_eval_dir": "/home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4",
+  "remote_eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4",
   "checked_at": 1790208024.9444075,
   "training_step": 5000,
   "checkpoint_sha256": "177fb96011eb1b5408da0e874e3e566292fa72577ea8bb3edd656f215cb15875",
@@ -49,24 +49,24 @@
   "job": {
     "id": "eval_v2__deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2",
     "source": "v2",
-    "python": "/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
+    "python": "source_archive/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
     "task": "deadly_corridor",
     "model": "qwenpi_v3",
-    "backbone": "/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
-    "bundle_dir": "/home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6",
+    "backbone": "source_archive/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "bundle_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6",
     "priority": 1000,
     "depends_on": [
       "package_v2__deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2"
     ],
     "kind": "eval_ready",
-    "runtime_root": "/home/ubuntu/codex/hist8-vla-eval-sf-render-v4-20260924",
+    "runtime_root": "source_archive/hist8-vla-eval-sf-render-v4-20260924",
     "env_condition": "profile",
     "parallel_envs": 32,
     "metric_prefix": "eval_hist8_v4/profile_to_profile",
-    "eval_dir": "/home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4",
+    "eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6-to-profile-par32-sf-render-v4",
     "gpus_required": 2,
-    "ready_path": "/home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/bundle.complete.json"
+    "ready_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/bundle.complete.json"
   },
-  "evidence_dir": "/home/lixinyuan/latency-sensitive-bench/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h200-2/eval_v2__deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
+  "evidence_dir": "source_archive/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h200-2/eval_v2__deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2/hist8-history01-sf-render-v4"
 }

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/manifest.json

@@ -7,7 +7,7 @@
     "You are playing Deadly Corridor in VizDoom. Your goal is to survive the corridor, fight enemies, and reach the green armor vest at the far end. The available actions are: MOVE_FORWARD, MOVE_BACKWARD, MOVE_LEFT, MOVE_RIGHT, TURN_LEFT, TURN_RIGHT, and ATTACK. Choose the best next action from the current visual observation."
   ],
   "format": "starvla_lerobot_v2_decision_v1",
-  "source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/raw",
+  "source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/raw",
   "robot_type": "rl_games_deadly_corridor",
   "action_layout": "multibinary_7",
   "source_action_layout": "deadly_corridor_joint_54",
@@ -396,8 +396,8 @@
   "rows_unit": "decision_step",
   "obs_fps": 8.75,
   "obs_stride_raw_frames": 4,
-  "latency_prompt_map_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/lerobot/latency_prompt_map.json",
-  "custom_mixtures_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/_generated_mixtures/lerobot.json",
+  "latency_prompt_map_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/lerobot/latency_prompt_map.json",
+  "custom_mixtures_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/_generated_mixtures/lerobot.json",
   "validation_dataset_name": "lerobot__val",
   "validation_episodes": 850,
   "validation_frames": 36378

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
     "teacher_checkpoint": "best_000034720_17776640_reward_1806.008.pth",
     "teacher_sha256": "ea036c7cc6391913f04210e36aeee8503d0ce23fc94909ca00b820758b245209",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/pi05/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "ccadd20b8a6b6833f9f02fd34c2a67e1a43a468a6d000d94252c819224422b43",
     "episodes": 8500,
     "filter_preset": "none",
@@ -68,5 +68,10 @@
       },
       "environment_condition": "profile"
     }
-  ]
+  ],
+  "export_notes": {
+    "checkpoint": "Original evaluated bytes; SHA unchanged.",
+    "paths": "Operational paths in metadata are archive-relative. source_archive references describe source evidence and are not files shipped in this inference bundle.",
+    "replay": "Run from this model directory. Set BACKBONE_SNAPSHOT to the pinned Qwen snapshot and policy.worker_python_executable to the matching inference Python. Evaluated environment settings and profile bytes are unchanged."
+  }
 }

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/rollout_metadata.json

@@ -308,7 +308,7 @@
     "vizdoom_init_retry_jitter_sec": 0.25,
     "vtrace_c": 1.0,
     "vtrace_rho": 1.0,
-    "wandb_dir": "/mnt/ssd/latency-sensitive-bench/wandb",
+    "wandb_dir": "source_archive/mnt/ssd/latency-sensitive-bench/wandb",
     "wandb_group": "deadly-corridor-fs4-pi05_rtx3090_temporal_hist8_capacity1_native35",
     "wandb_job_type": "deadly_corridor_decision_history_native35_temporal",
     "wandb_project": "starvla_tasks",
@@ -329,10 +329,10 @@
     "with_wandb": true,
     "worker_num_splits": 2
   },
-  "checkpoint_experiment_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
-  "checkpoint_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000034720_17776640_reward_1806.008.pth",
+  "checkpoint_experiment_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1",
+  "checkpoint_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1/best_000034720_17776640_reward_1806.008.pth",
   "checkpoint_train_step": 34720,
-  "config_source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
+  "config_source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/models/latency-aware/deadly-corridor/small-policy/sample-factory-pi05-rtx3090-temporal-hist8-capacity1-native35-s42-v1/config.json",
   "context_image_count": 0,
   "context_window": 1,
   "env_fps": 35.0,

latency-aware/deadly-corridor/vla/starvla-qwenpi_v3-h1/deadly_corridor-qwenpi_v3-hist8-scratch-s42-v2-vlm3e-6/run_metadata.json

@@ -12,7 +12,7 @@
   "eval_num_workers_per_rank": 16,
   "prefetch_factor": 4,
   "base_model_revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17",
-  "dataset_dir": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/lerobot",
+  "dataset_dir": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/deadly_corridor/qwenpi_v3/lerobot",
   "dataset_manifest_sha256": "5ce667c2871d789b786d60463211f9b3bae8a4461d7cca44eff10446de1ec90f",
   "code_snapshot_sha256": "4fdfd05c7faaa60fb697f4d2bd169b94979d9626b8ebe52ac01b9b6a6faecf8d"
 }

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/README.md

@@ -10,7 +10,7 @@ Full StarVLA state dict in `checkpoints/model.pt` (original evaluated bytes). In
 
 One current RGB image, eight prior causal decision histories (88 raw 0/1 values), action horizon 1. `h1` in this repository path is the action horizon; `hist8` is input history. Pass history as `transport`, preserve all-zero reset, and use identity state normalization. Prompt and action order are in `task_contract.json` and `manifest.json`.
 
-Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Full historical training configuration and code snapshot are included.
+Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 128; 16 dataloader workers per rank and prefetch 4. Backbone LR 3e-6, action head 1e-4; other groups retain the recorded configuration. Warmup 100, cosine min_lr_rate 1/30, 5000 steps. Training configuration and code snapshot are included; operational paths are represented as archive-relative references.
 
 ## Formal evaluation
 
@@ -20,7 +20,7 @@ Training: 2 GPUs, bf16/ZeRO-2, batch 64 per rank, accumulation 1, global batch 1
 
 Seeds 1,000,000–1,000,099; parallel 32; capacity 1; FPS/decision Hz 60/15; max 7200 raw frames. Zero-trained models have both zero and profile evaluations; profile-trained models have the matching profile evaluation. `profiles/profile.json` is the exact model-specific latency profile, with SHA in provenance.
 
-Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Evaluation configs retain original machine paths as execution evidence; replace checkpoint, model-config, backbone, profile and output paths when replaying locally. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
+Each `evaluations/<condition>/` contains the evaluated config, 100 episode records, action audit including raw-score summaries, verification, provenance and evaluator code snapshot. Replay configs use bundle-relative checkpoint, model-config and profile paths. Run from the model directory; set `policy.backbone_path` (`BACKBONE_SNAPSHOT`) to a local snapshot of the pinned Qwen revision, and set `policy.worker_python_executable` to the matching inference Python. `source_archive/` entries in training metadata identify source evidence; they are not included datasets or runnable local paths. Deadly Corridor requires 160×120 RGB with HUD, no crosshair, weapon enabled, decals/particles disabled before resizing.
 
 These are one-training-seed results. Architectures use different latency profiles. Zero/profile training also uses different teachers and collected data, so their score difference is not an isolated learning-rate ablation.
 

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/config.full.yaml

@@ -1,7 +1,7 @@
 framework:
   name: QwenGR00T
   qwenvl:
-    base_vlm: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+    base_vlm: Qwen/Qwen3-VL-4B-Instruct
     attn_implementation: flash_attention_2
     vl_hidden_dim: 2048
     enable_gradient_checkpointing: true
@@ -46,10 +46,10 @@ datasets:
   vla_data:
     dataset_py: lerobot_datasets
     include_state: true
-    data_root_dir: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t
+    data_root_dir: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t
     data_mix: lerobot
     eval_data_mix: lerobot__val
-    custom_mixtures_path: /home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/_generated_mixtures/lerobot.json
+    custom_mixtures_path: source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/_generated_mixtures/lerobot.json
     action_type: discrete
     sequential_step_sampling: false
     eval_sequential_step_sampling: null
@@ -153,7 +153,7 @@ trainer:
   gradient_accumulation_steps: 1
   distributed_backend: deepspeed
   is_resume: true
-  pretrained_checkpoint: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/steps_1259_state
+  pretrained_checkpoint: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/steps_1259_state
   resume_step: 1259
   reload_modules: null
   optimizer:
@@ -182,7 +182,7 @@ trainer:
     batch_size: 8
     bootstrap_repeats: 4000
 workspace_dir: WORKSPACE_DIR
-run_root_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
+run_root_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train
 seed: 42
 wandb_entity: saberrr-zju
 wandb_project: starvla_tasks
@@ -194,7 +194,7 @@ paths:
   run_root_dir: results/Checkpoints
   dataset_local_dir: playground/Datasets/rl_games
   dataset_cache_dir: null
-  base_model_dir: /home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
+  base_model_dir: source_archive/home/ubuntu/.cache/huggingface/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17
   accelerate_config: starVLA/config/deepseeds/deepspeed_zero2.yaml
 launch:
   use_accelerate: true
@@ -281,8 +281,8 @@ checkpoint:
     sync_every_n_checkpoints: 1
     resume_policy: local_latest
 run_id: demon_attack-qwengr00t-hist8-scratch-s42-v2
-output_dir: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2
-config_yaml: /home/ubuntu/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2/train.yaml
+output_dir: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2
+config_yaml: source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/train/demon_attack-qwengr00t-hist8-scratch-s42-v2/train.yaml
 is_debug: false
 version_id: '0.21'
 wandb_name: demon_attack-qwengr00t-hist8-scratch-s42-v2

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/dataset_statistics.json

@@ -603,4 +603,4 @@
     "num_transitions": 608054,
     "num_trajectories": 180
   }
-}
+}

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml

@@ -39,7 +39,7 @@ env:
   action_history_decisions: 8
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -55,13 +55,13 @@ policy:
   - LEFT
   - RIGHTFIRE
   - LEFTFIRE
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
 training:
   train_for_env_steps: 25000000
@@ -105,7 +105,7 @@ evaluation:
   latency_bench_env_backend: demon_attack_gpu_batched
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/provenance.json

@@ -5,7 +5,7 @@
     "teacher_path": "latency-aware/demon-attack/small-policy/sample-factory-gr00t-rtx3090-temporal-hist8-capacity1-s42-v1",
     "teacher_checkpoint": "best_000047744_24444928_reward_4477.300.pth",
     "teacher_sha256": "b5430581140648264f8ddb2eab6d0fa45491687e90a5cf391ef047e5dbcf18b1",
-    "profile_path": "/home/ubuntu/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
     "profile_sha256": "98b0d13a45e305ca635c472444081c48b77afcc157c77f0ce61e47a111b19e68",
     "episodes": 200,
     "filter_preset": "none",

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/resolved_config.yaml

@@ -39,7 +39,7 @@ env:
   action_history_decisions: 8
 latency:
   method: temporal
-  profile_path: /mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json
+  profile_path: profiles/profile.json
   profile_worker_slot: 0
   seed: 271828
   add_latency_info: false
@@ -55,13 +55,13 @@ policy:
   - LEFT
   - RIGHTFIRE
   - LEFTFIRE
-  checkpoint_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt
-  model_config_path: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/config.yaml
+  checkpoint_path: checkpoints/model.pt
+  model_config_path: config.yaml
   device: cuda:0
   unnorm_key: new_embodiment
   prompt_mode: latency_neutral
-  backbone_path: /mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct
-  worker_python_executable: /mnt/ssd/miniconda3/envs/starvla_rl_games_openvla/bin/python3.10
+  backbone_path: BACKBONE_SNAPSHOT
+  worker_python_executable: python
   state_source: transport
   action_prefix:
     mode: none
@@ -107,7 +107,7 @@ evaluation:
   latency_bench_env_backend: demon_attack_gpu_batched
   eval_latency_values: null
 logging:
-  output_dir: /mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32
+  output_dir: replay_outputs/profile
   video:
     enabled: false
     num_bins: 10

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/summary.json

@@ -1,5 +1,5 @@
 {
-  "checkpoint_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt",
+  "checkpoint_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt",
   "experiment_name": "demon_attack-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32",
   "latency": "profile_sample",
   "latency_type": "profile_sample",
@@ -210,7 +210,7 @@
     1480.0
   ],
   "seed": 1000000,
-  "source_profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
+  "source_profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
   "std_return": 310.32706939614525,
   "suite_name": "profile_sample",
   "timestamp_utc": "2026-09-23T19:51:16.519497+00:00"

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/verification.json

@@ -2,7 +2,7 @@
   "job_id": "eval_v2__demon_attack-qwengr00t-hist8-scratch-s42-v2",
   "task": "demon_attack",
   "model": "qwengr00t",
-  "remote_eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32",
+  "remote_eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32",
   "checked_at": 1790193230.6011114,
   "training_step": 5000,
   "checkpoint_sha256": "a059ad8efbed631dc1963c9128bd033f6065671aa6b053d6bc3e57438d98fab8",
@@ -45,22 +45,22 @@
   "job": {
     "id": "eval_v2__demon_attack-qwengr00t-hist8-scratch-s42-v2",
     "source": "v2",
-    "python": "/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
+    "python": "source_archive/home/ubuntu/miniconda3/envs/starvla_rl_games_openvla/bin/python",
     "task": "demon_attack",
     "model": "qwengr00t",
     "env_condition": "profile",
     "parallel_envs": 32,
     "metric_prefix": "eval_hist8_v3/profile_to_profile",
     "kind": "eval_ready",
-    "backbone": "/mnt/ssd/codex/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
-    "profile_path": "/mnt/ssd/codex/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
-    "bundle_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2",
-    "ready_path": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/bundle.complete.json",
-    "eval_dir": "/mnt/ssd/codex/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32",
+    "backbone": "source_archive/hist8-vla-20260923/backbone/Qwen3-VL-4B-Instruct",
+    "profile_path": "source_archive/hist8-vla-20260923/results/profiling/profiles/gr00t/1x-rtx3090/demon_attack/instance_a5037b165aa0cedc/profile.json",
+    "bundle_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2",
+    "ready_path": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/bundles/demon_attack-qwengr00t-hist8-scratch-s42-v2/bundle.complete.json",
+    "eval_dir": "source_archive/hist8-vla-v2-20260923/outputs/tasks/decision_history_vla_hist8_v2/evals/demon_attack-qwengr00t-hist8-scratch-s42-v2-to-profile-par32",
     "gpus_required": 2,
     "priority": 1000,
     "depends_on": []
   },
-  "evidence_dir": "/home/lixinyuan/latency-sensitive-bench/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__demon_attack-qwengr00t-hist8-scratch-s42-v2",
+  "evidence_dir": "source_archive/outputs/tasks/decision_history_vla_hist8_v2/evaluation_receipts/h100/eval_v2__demon_attack-qwengr00t-hist8-scratch-s42-v2",
   "verification_status": "verified"
 }

latency-aware/demon-attack/vla/starvla-qwengr00t-h1/demon_attack-qwengr00t-hist8-scratch-s42-v2/manifest.json

@@ -7,7 +7,7 @@
     "You are playing Demon Attack from a single game image. Choose exactly one action from: NOOP, FIRE, RIGHT, LEFT, RIGHTFIRE, LEFTFIRE. Survive, avoid enemy fire, and shoot enemies to maximize score."
   ],
   "format": "starvla_lerobot_v2_decision_v1",
-  "source": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/raw",
+  "source": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/raw",
   "robot_type": "rl_games_demon_attack",
   "action_layout": "demon_attack_discrete",
   "source_action_layout": "demon_attack_discrete",
@@ -299,8 +299,8 @@
   "rows_unit": "decision_step",
   "obs_fps": 15.0,
   "obs_stride_raw_frames": 4,
-  "latency_prompt_map_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/lerobot/latency_prompt_map.json",
-  "custom_mixtures_path": "/home/ubuntu/codex/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/_generated_mixtures/lerobot.json",
+  "latency_prompt_map_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/lerobot/latency_prompt_map.json",
+  "custom_mixtures_path": "source_archive/hist8-vla-20260923/outputs/tasks/decision_history_vla_hist8/data/demon_attack/qwengr00t/_generated_mixtures/lerobot.json",
   "validation_dataset_name": "lerobot__val",
   "validation_episodes": 20,
   "validation_frames": 71062