{
 "suite": "dexhand",
 "task": "essential_two_object",
 "family": "essential_two_object",
 "source": "oracle",
 "renderer": "Blender 4.5.3 LTS Cycles path tracing, OptiX on an RTX 4090, adaptive sampling (threshold 0.01, 64-192 spp), OpenImageDenoise with albedo and normal passes, AgX Medium High Contrast; studio floor, key/top/rim area lights and a dim sky dome; render 2560x1440; every frame is the exact pose sample recorded from the task's own replay.py (MuJoCo 3.4.0, 120 Hz simulated-time grid, nearest sample, no interpolation)",
 "rendering": "path-tracing",
 "width": 2560,
 "height": 1440,
 "fps": 30,
 "frames": 320,
 "duration_s": 10.667,
 "speed": 1,
 "success_check": true,
 "success_check_how": "verdict of the task's own tests/replay.py (the verifier's replay: fresh Session, frozen instance, fail-fast checks every physics substep) run on the oracle archive written by solution/oracle.py in the pinned grader image while the poses were recorded: success=True, reason='success'; a second, unrecorded replay in a fresh process ended in the same state hash",
 "replay": {
  "hand": "sharpa",
  "n_actions": 408,
  "sim_steps": 408,
  "physics_steps": 4080,
  "sim_time_s": 8.16,
  "state_sha": "64d049dbd9b7f3459a4dd7be1b404ea442b35e7bccdabf1ae4bdeabf371448eb",
  "state_sha_unrecorded_replay": "64d049dbd9b7f3459a4dd7be1b404ea442b35e7bccdabf1ae4bdeabf371448eb",
  "trajectory_sha256": "2fabf90c2175cc51e6444734262c141ff01a2809b319895c101a0b1c867fc0fe",
  "task_dir": "tasks/dexhand-essential-two-object-i00-privileged"
 },
 "holds": {
  "start_s": 1.0,
  "end_s": 1.5,
  "note": "first and last recorded states held; the camera keeps moving, no extra simulation"
 },
 "camera": {
  "az_deg": -136,
  "el_deg": 34,
  "lens_mm": 50,
  "orbit_deg": 10.0,
  "fill": 0.72,
  "target": [
   0.0186,
   -0.0562,
   0.2309
  ],
  "distance_m": 1.1969
 },
 "poster_frame": 319,
 "image": "eai-dexhand:0.2.0@sha256:0d42994b83d95ab5301c592b35586550c9ee426490115e4b43f3b8cf8cc43350",
 "created": "2026-10-17T00:21:42Z"
}