{
 "suite": "abc-sim",
 "task": "count_two",
 "task_dir": "abc-sim-count-two-i00-privileged",
 "source": "agent-success:codex-gpt6_luna-xhigh-abc-sim-count-two-i00-privileged/abc-sim-count-two-i00-privileged__hjJa4h2",
 "agent": "codex + GPT-6 Luna (xhigh)",
 "run": "codex-gpt6_luna-xhigh",
 "mode": "privileged",
 "trial": "codex-gpt6_luna-xhigh-abc-sim-count-two-i00-privileged/abc-sim-count-two-i00-privileged__hjJa4h2",
 "trial_choice": "GPT-6 Luna's counted success; privileged before standard (a privileged trial is the submitted trajectory, replayed after the run)",
 "renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact MuJoCo replay poses (MuJoCo's own compiled meshes, primitives, colours and UV textures); seamless studio floor (cyclorama), one large soft key area light, a weak overhead softbox, a rim light, a dim sky dome (Poly Haven studio_small_09 HDRI, CC0); AgX view transform, Medium High Contrast look; fixed 3/4 camera with a slow eased 10-degree orbit; native 2560x1440",
 "rendering": "path-tracing",
 "media_standard": "v2 (2026-10-16)",
 "width": 2560,
 "height": 1440,
 "fps": 30,
 "frames": 448,
 "seconds": 14.93,
 "speed": 1.0,
 "success_check": true,
 "success_check_how": "privileged trial: the submitted trajectory (trajectory.npz) replayed from the task's frozen instance with the task's own tooling (rcb_abc.Session, as tests' grade.py replays it): success by the task's rule (upstream's evaluator held 30 control steps), the end-state hash equals both grading replays' hash (1d0fc8f13afd69fa), and a second plain replay in a fresh session (Session.replay) ends in the same hash",
 "end_check": {
  "success": true,
  "rule": "event",
  "reason": "success",
  "steps": 379,
  "success_run": 30,
  "hold_steps": 30
 },
 "replay": {
  "control_hz": 29.4118,
  "control_dt_s": 0.034,
  "n_actions": 379,
  "control_steps_replayed": 379,
  "sim_time_s": 12.886,
  "frames_every_control_steps": 0.9804,
  "final_state_sha": "1d0fc8f13afd69fa",
  "plain_replay_state_sha": "1d0fc8f13afd69fa",
  "replays_agree": true,
  "instance_sha": "5099066e29874d64",
  "init_sha": "5099066e29874d64",
  "instance_ok": true,
  "state_hashes_every_control_steps": 1000,
  "trajectory_sha256": "535dcc951ef08cddca38241fedd73d9634446ddb98c461207c0f59aab4532cfe",
  "mujoco": "3.6.0",
  "recorded_grader_state_sha": "1d0fc8f13afd69fa"
 },
 "visual_changes": [
  "studio floor and cove instead of MuJoCo's floor and the booth's three walls",
  "the overhead camera gate (bar and camera) not drawn",
  "the table top drawn as a solid light-wood block down to the floor, extended under the arms' base mounts (top face unchanged; the scene's table is a thin white slab)"
 ],
 "camera": {
  "mode": "fixed",
  "frames_on": "both arms and every object on the table",
  "az_deg": 35.0,
  "el_deg": 32.0,
  "fovy_deg": 34.0,
  "fill": 0.8,
  "target": [
   0.452,
   0.0334,
   0.9174
  ],
  "distance_m": 1.6136,
  "orbit_deg": 10.0
 },
 "holds": {
  "start_s": 0.5,
  "end_s": 1.5,
  "note": "first / last frame held, no extra simulation"
 },
 "image": "efe:abc-sim-0.1.0",
 "encode": "libx264 preset slow CRF 16, yuv420p, bt709, faststart",
 "poster": "last frame (solved state)",
 "seconds_per_frame": 3.04,
 "created": "2026-10-31T05:38:11-0500"
}