{
  "scope": "NEW 64-agent showcase with exact 3D static potentials and an added hold-only execution adapter; not a paper benchmark, not evidence for unchanged paper algorithm or flight dynamics.",
  "N": 64,
  "final_at_goal": 64,
  "seed": 20260919,
  "original_solver_steps": 46,
  "execution_phases": 58,
  "added_hold_phases": 12,
  "network_forward_passes": 12,
  "active_neural_preference_updates": 0,
  "neural_gain_claim": false,
  "performance_benchmark": false,
  "discrete_audit": {
    "frames": 59,
    "agents": 64,
    "vertex_conflicts": 0,
    "edge_conflicts": 0,
    "obstacle_hits": 0,
    "out_of_bounds": 0,
    "max_step_chebyshev": 1
  },
  "linear_segment_audit": {
    "minimum_center_distance_m": 0.3535533905932738,
    "required_distance_m": 0.32,
    "violating_pair_segments": 0,
    "examples": []
  },
  "mesh_body_radius_m": 0.14,
  "collision_radius_m": 0.16,
  "video_fps": 60,
  "video_frames": 1393,
  "source_execution_sha256": "fc036e106eb093249332d7de7c7818394b2cc9601d03edf2f19c13b41e513d65",
  "retimed_execution_sha256": "3c130d7e7cd7206fba56adfb857aa4d32418f2265c408810e4494db53dd7ee72",
  "checkpoint_sha256": "6a53af0ecde94ba9a0ae94961979b992993a276f5c2ed4ee005092ad09f77c8e",
  "map_manifest_sha256": "bc896775d18cddcd09da9535c0e7f7fb35c510f3785ac86c3eb7b196183e2a61",
  "environment_sha256": "be1247889cee3ce10028ee1ef1066a96728b3c2aa191ad12b51cc3b578fa4ae9",
  "video_sha256": "054f6ab601cb8305f57fbf9ea032d1f62de1c84efddcf601cfa318e3ab612774",
  "renderer_sha256": "48034e99f5a2f14509c62398432a61b6f5b5b39d6ae50ced643ab480f5808070",
  "encoder_sha256": "39b4310116def5d217e27640d8237e3eadafda481f4bb1d18044f7644df2381f",
  "encoding": {
    "codec": "libx264",
    "crf": 8
  },
  "denoising": false,
  "probe": {
    "programs": [],
    "streams": [
      {
        "width": 1280,
        "height": 816,
        "r_frame_rate": "60/1",
        "nb_frames": "1393"
      }
    ],
    "format": {
      "duration": "23.216667"
    }
  },
  "frames_per_phase": 24,
  "display_time": "0.4 s per retimed phase, a presentation clock, not measured real-time flight",
  "orientation": "continuous shortest-angle yaw, hold previous heading while waiting",
  "orientation_source_sha256": "d6a7906f8bdfa4e5937474c1cdd35e79b98181270f4929eaba43269747e25030",
  "interpretation": "All agents remain in the scene; cameras naturally occlude some. Original spatial paths are unchanged. Continuously audited linear interpolation; no dynamics or real-flight claim. A zero active-neural count must not be presented as evidence for learned improvement.",
  "previous_video_sha256": "3213a0d942db26f78ec746b775ad2e8b361887d8498dbe8a1d37eb0b8542060b",
  "parent_encoder_sha256": "b10668d6cc81ee680c4a2179bf47bb8846fde2861d1789496e71c81720337e2c",
  "presentation": {
    "original_frames_preserved": true,
    "positions_and_waits_unchanged": true,
    "frame_clock_unchanged": true,
    "top_readout_added_without_cropping": true,
    "moving": "Nonzero recorded segment, including vertical travel, and not at goal.",
    "waiting": "Zero displacement and not at goal. Added hold-only scheduling in these two showcases.",
    "at_goal": "Recorded position equals that agent's goal.",
    "markers": "Amber rings are UI indicators, not physical body sizes. Only environment-visible, nonoverlapping hold markers are drawn; counts include all 64 agents.",
    "pulses": "UI-only animation; aircraft positions are untouched.",
    "clock": "Playback time only, neither measured compute time nor physical flight time.",
    "renderer_source_sha256": "39b4310116def5d217e27640d8237e3eadafda481f4bb1d18044f7644df2381f",
    "state_source_sha256": "16556270225d691654c4524e6ec8fbcd47a1aaa811d05601bdb297d8dc9ae659",
    "projection_sha256": "f904be27dbba7fd7e3ed212c162d922818f97552a89bc4e746410acb49c80230",
    "original_render_manifest_sha256": "17d84b92bc64daffe377dd6b90a641cc348ed8ffbc3931fd7881d470524f1ecd",
    "states_every_frame_sha256": "6262316261c442734c38e8a6adebda71921a64cbb119d5769ce44d3e3b8f4fec",
    "verification_source_sha256": "ebe1e32b8c2f41b65c07583cadae6223c2e038cdf5c5060946946ec39e72439c"
  }
}
