{
  "visual_id": "E63-history-contract",
  "title": "Shared realizations change observer-conditioned predictions",
  "classification": "scoped_public_input_calculation",
  "run_ids": [
    "20261002T150703457054Z-E08-history-contract"
  ],
  "claim_ids": [
    "C08",
    "C12"
  ],
  "input_files": [
    {
      "path": "runs/20261002T150703457054Z-E08-history-contract/conditional-detection.json",
      "sha256": "5a54cc073122872cfa386de9daecf356a2177bf12835bd3cce109b0f32a85bc1"
    },
    {
      "path": "runs/20261002T150703457054Z-E08-history-contract/results.json",
      "sha256": "2f65c76efdbe2146fa20f23c89ee9139c47b1008c3a590eca4068211cb1ba284"
    }
  ],
  "configurations": {
    "E08-history-contract": {
      "history_parent": "20260927T071144922221Z-E08-histories",
      "audit_parents": [
        "20260927T065507570314Z-E06-dynamics",
        "20260929T004604418212Z-P4-matter",
        "20260929T024518646066Z-P5-material",
        "20260927T122957970444Z-E08-domains",
        "20260927T130103425275Z-E08-field-fronts",
        "20260927T071144922221Z-E08-histories"
      ],
      "distances": [
        0.025,
        0.1,
        0.3,
        0.6,
        0.9
      ],
      "conditional_count_scales": [
        0.1,
        1.0,
        10.0,
        100.0
      ],
      "arrival_absolute_gate": 1e-12,
      "joint_identity_gate": "Exact action/parameter/ensemble/spacetime identity, same realization IDs/order/weights/lineage, explicit domain coverage and source verification",
      "maximum_job_seconds": 600,
      "maximum_RSS_bytes": 3221225472,
      "threads": 1,
      "scope": "Authenticated conditional history bookkeeping and common-ensemble conditioning; no matched physical field-to-material history or empirical population established."
    }
  },
  "assumptions": {
    "E08-history-contract": [
      "Authenticated conditional history bookkeeping and common-ensemble conditioning; no matched physical field-to-material history or empirical population established.",
      "No changes to the existing research-plan fingerprint gate; the new adapter is not automatically integrated into shared scientific acceptance.",
      "120 repetitions per environmental branch; conditioning reduces the actual and effective history count. Rays are within-history quadrature.",
      "All positive joins are explicitly conditional saved Poisson histories. Frozen field/matter/material components are not declared to share an action or population."
    ]
  },
  "plotted_values": {
    "path": "E63-history-contract-data.json",
    "sha256": "9bc91662f3b4854fc1bd31cc0983277b7810f9aa783fb951cb3aba20e7b49ba7"
  },
  "caption": "The same saved geometric Poisson history supplies both observer selection and light-cone opportunity at dimensionless distance0.3. The expectation of exp(-lambda f) uses normalized weights of80 or30 selected independent histories. The150 rays within each history are not independent histories. An independent RNG replay reproduces the parent events and aggregate observations. Physical action/parameter/population and epoch identities do not match across the wider field-to-material chain; the shown count law and model population are prescribed, not empirical cosmological probabilities.",
  "alt_text": "Correctly paired conditioning, an exponential of the mean and an unconditioned mean give different no-detection probabilities in both prescribed environments.",
  "generator": "src/metastable/public_report.py",
  "generator_sha256": "9e263878b7237d781a41d94693004412279b5cfa808ccd6e335b7b07269910d4",
  "generator_dependencies_sha256": {
    "src/metastable/render.py": "ff4837be5102588b6614aeb2b7880b10c0a0c20a155e2eb7b409014a47a3de01",
    "src/metastable/spin_report.py": "dd5c64c5c658938948672a7dc767aa02c34dde012c3fc4aedfc3642f88796847",
    "src/metastable/continuation_report.py": "f9bbce6d0e201a9f55c826d6e9c47ab901e51a71b4a1f962b52eb08a63ba5fe9",
    "src/metastable/refinement_report.py": "4539c0ec814603105ab3a2b5cc82ce291c0151113b5bd3916cdc235aadb9bfb0",
    "src/metastable/atomic_mass_report.py": "46dd1cdb56a5a02cafe001a1f6a7fb201e149461850df41e012f77a580c3694b",
    "src/metastable/closure_report.py": "b34a03a9e0058eed65722df542dbb92691dd138787e2078b43ee9f18e221f75c",
    "src/metastable/october_report.py": "f93e7f89e43165d8d25e2184b9b32e6e21c3e1ffe66020d35944f263aaecb726",
    "src/metastable/october_followup_report.py": "925d905ff3bddf97a7ace2f68a4a28e7dfea2238c4f81d891dda2a9e70c6d4f6",
    "src/metastable/october_dynamics_report.py": "6b8d84c0ce0d78f52d064c68697f0d9c885cdc736e215b54eba46821dbe59a33",
    "src/metastable/october_calibration_report.py": "f714ef7ccfaa26e847c6135054f53528b3ff1d7096e7d113cffeea333e77e3d2",
    "src/metastable/october_interface_report.py": "2fc8826a33c952d7898154f84830748c26842c9a165d14aa7b7fb9721fac00bd",
    "src/metastable/october_checkpoint8_report.py": "f3b54f23510b9bfeffc5ff04e6df54e967228f43ba25a15e12e34f898cdfe0af",
    "src/metastable/october_checkpoint9_report.py": "4bd987aac59964ccb4768a95e0cb6f7d1fdccbeffe9483860da7b431f2224ae4",
    "src/metastable/october_checkpoint10_report.py": "9da673d773b63298e041914447ffd97065c1cf2b8966c90fc4ebcbee25a0ed63",
    "src/metastable/october_checkpoint11_report.py": "5f01064f02f4c76d0059d348a763b285c92c3677e6cb0ba0bbf7faa1a4b98248",
    "src/metastable/october_checkpoint12_report.py": "46022030652e3a1e274dfd27b36dfab25d90a97fde439b1da44d6f1fdc5140b5",
    "src/metastable/october_checkpoint13_report.py": "997c59be3af1b6b7be95fd4314e0f3b98c562629901a639572284045a65980c2",
    "src/metastable/october_checkpoint14_report.py": "d84de7d8516d8a4d8e21b5f9f279476f3035f719c1c8ab03b7ac1e44bf822240",
    "src/metastable/october_checkpoint15_report.py": "1f6e17b9549dc31fbb58ba578c4d8ed8e219b4ad30810df0a9d7d2d00e63efdc",
    "src/metastable/october_checkpoint16_report.py": "74cb8aac45d1d5ce0e6eb6678e9b6cdf98cd46fd6e264a513b612ab763fcd034",
    "src/metastable/october_checkpoint17_report.py": "9daceb74e91f6f8db0f7d89929226d46c464c284d06d0694f525fecf0c736bf6",
    "src/metastable/october_checkpoint18_report.py": "f33f88e316cae93af87cef75d8df41ce82970c8f8bc466dd7a094a92c5f00f8b",
    "src/metastable/october_checkpoint19_report.py": "ce2250507145354b6478cafaaff98c2b8ae2795c3c309f0d903a920365a77090",
    "src/metastable/october_checkpoint20_report.py": "e2ea0a8a374036254008cf6de8f10352dfb2585c4ccb18c1e850c017e6128294",
    "src/metastable/october_checkpoint21_report.py": "596b873676167227b2c92d358fcdbc0614908a5a9daad1da6227b81fce203eec",
    "src/metastable/publication_files.py": "e68bd0ee4e849a72fa828f0cfcf34cb6b1b9f2a8bbdbb3d51085054915039607"
  },
  "command": "python run.py full public-report",
  "output_sha256": {
    "svg": "70176a839e7681121e02a2caa916031b4fef4756aeced29eb26a076ad6bdf978",
    "png": "6f0018a85ae3bf7fd1f32f5537a6469d5a6777475f9caa8d4fe4df5b61482e4b"
  }
}
