{
  "visual_id": "A04",
  "title": "Conditioning selects histories",
  "classification": "new_simulation",
  "status": "validated_within_scope",
  "run_ids": [
    "20260927T071144922221Z-E08-histories"
  ],
  "experiment_ids": [
    "E08-histories"
  ],
  "claim_ids": [
    "C08",
    "C12"
  ],
  "input_files": [
    {
      "path": "runs/20260927T071144922221Z-E08-histories/conditional-histories.json",
      "sha256": "20b5d2d622ade4ff9517518740fb5bf78b3bb7630e2aeb29f746626d03db163b"
    },
    {
      "path": "runs/20260927T071144922221Z-E08-histories/phase-fractions.json",
      "sha256": "e222a968c71068ba1faa6009eed7bf847c281de74643dd463685df67ab05f1bd"
    }
  ],
  "frame_data": "A04-frames.json",
  "frame_sha256": "35fb305d8109ede717e8daada1dcd169cb7acffd276e72bb0f8d8648afe83532",
  "caption": "Each dot is one saved random realization, not an invented civilization or a map cell. Selection changes the statistical sample. Past-light-cone mode evaluates the target at emission and applies the same duration requirement. These are opportunity diagnostics without a measured emergence law.",
  "alt_text": "The upper graph identifies included realizations. The lower graph compares their nearby phase statistics with the unconditioned ensemble, including a past-light-cone view.",
  "time_interpolation": "Frames sample saved arrays or explicit analytic equations. Plot-line interpolation does not add a new evolution solve.",
  "generator_sha256": "3ab3602467624926777d30a93a98b83730c4c7c9094af6fb744ac01c4c92536c",
  "playback": "Paused by default, manual play and frame slider; motion stops when hidden or reduced-motion preference changes.",
  "extension_generator_sha256": null,
  "render_command": "uv run --offline --frozen python run.py full animations",
  "output_sha256": {
    ".html": "558ce382d70634980199f36f6c503b23b79bb43abbfa0b18452fb3e7416a07d6",
    "-poster.svg": "8d10f1a73648572228b01a7bd9b9e1c43437cb7c400dd6930f19e36cbde74e98",
    "-poster.png": "f6811c2521250664441a92693faa82a6dd41355dc89319a0fc3d09b935c58dff",
    "-transcript.md": "5f4773d95ef1f7ea4ee1a6d4928cb6faabf6d6d914a0037aade86d25cf047d0a"
  }
}