{
  "model": {
    "identifier": "gpt-6-astra",
    "date": "2026-11-03",
    "immutable_snapshot": null,
    "reasoning": "inherited/default; no explicit override recorded"
  },
  "source_repository": "https://github.com/distillpub/post--growing-ca",
  "source_commit": "a12c7efa541b5770043a8d5470bffeacfd7b0435",
  "growing_checkpoint": "https://raw.githubusercontent.com/distillpub/post--growing-ca/a12c7efa541b5770043a8d5470bffeacfd7b0435/public/webgl_models8/ex1_%F0%9F%A6%8E.json",
  "persistent_control": "https://raw.githubusercontent.com/distillpub/post--growing-ca/a12c7efa541b5770043a8d5470bffeacfd7b0435/public/webgl_models8/ex2_%F0%9F%A6%8E.json",
  "budget": {
    "new_evaluations": 36,
    "rollouts_per_evaluation": 2,
    "steps_per_rollout": 2048,
    "individual_grid_passes": 147456,
    "prior_context_evaluations": 12
  },
  "sha256": {
    "code/SOURCE_LICENSE": "945fbcb37deca05bccd7c3ca0e261679f1f5373515504fdbad68f6f3cf6f49b9",
    "code/edits.py": "c13ea330bc9a2e5fa7314dcb452605c501e0d5e85a14e063b050b9a9aa5398b1",
    "code/evaluate.py": "4119a510997a0b4afdf44809812f3a50bc6898b59baf90ef7d5f5d6eec543160",
    "code/nca.py": "d4b94ca2c152e2c57466a53dbce12f9cbca9d9c29f4c459d4bfb889109ddfeb6",
    "code/package.py": "399441c5576df870301da355e2fd8cfe531354508295a5d91705eeac7b27d335",
    "code/persistence.py": "406df29c3e41cfad2e480e43b3e7515cec5e4ca6b813c62ef5bfb539ad5a66ed",
    "code/requirements.txt": "983665a6331eda07ab1f4b23ef92d66f4b024c27b360ee0e7420511ef3b28c64",
    "data/arrest_verification.json": "c25152677504524ce59dd56262635006af2d7ce3ae54f361e1f3ab27b29016ae",
    "data/independent_randomness.json": "443a3e901839d74958eaa5302d4710666e459549909ac54d62bd8c86f0cca8ff",
    "data/persistence.json": "839f579af63ba5e705d799477db5463f6b73658ae6a48c2ab8224f01e1cacc83",
    "data/persistence_search.json": "a79775ad60646103923452854fbd0814ab0344b6fecd74db26e2815abe6f3e70",
    "data/players.json": "f7839e3d7836d4b9e540a3277047536c0b6c1a6abe20a50d6467e76ae23f0ded",
    "data/six_edits.json": "cd96262a60af228b0b13d45c5067a3c950131925a7f547e69f762b9b2d5708e8",
    "data/speed_curves.json": "aceb0fb52a654d8099fac387da28dbf0e0f8ea4eac82c30af103e9a204ad540f",
    "data/visualization_provenance.json": "35df67c991fa807927e5b81623c0382dce589aaadd566cdfededbca9d3c5c46e",
    "records/astra_persistence_submission.py": "406df29c3e41cfad2e480e43b3e7515cec5e4ca6b813c62ef5bfb539ad5a66ed",
    "records/persistence_experiment_log.txt": "263aa4f09e44f0aec45d3f97531ff979a17e435afd50e3c093655f9ee7482497",
    "records/persistence_explanation.txt": "da30ac150c2aca9914df403535259d86bbf07936b0644906768bb582f653ea12",
    "records/persistence_selection.json": "1a55b9aa82703781eb9d3cfb7087b9b8f057b4fa294d0626a5ee8eae7fd60b42",
    "records/six_edits_explanation.txt": "a2b3b5307c7a336386e4fc568bcbe619411c24cc4a1c9e4b64aff9815038f95c",
    "report_source/manuscript.py": "b6f97f90db09f3a59c820213cb84a1316ec8433135d763dae76c010d67aff2af",
    "report_source/render_paper.py": "4d3ffd368c0c4a3351758c7f33e9da9105c291ac06101872b4190e9d7c9a6f7b",
    "report_source/requirements.txt": "9d692b08abdb78345debf12d5ee7e0bccc912a33d8644990a46d590412c37760",
    "weights/blue.npz": "6fa0cb4a647a94d81b0d7c294ff27a9f5f534d05c4d1527904bee33583a41fce",
    "weights/grow_half_speed.npz": "d81214cbee573de47cfb2b2fed39be8c24264199023fd4df87d14bf79ca738aa",
    "weights/mirror_horizontal.npz": "978ffb72306e0fac53565ccfed00c03453318128804194fc20c1f28cb702924b",
    "weights/original.npz": "8667449a9807700f7772634b23eac6af30f773537e0cbfab53a4dd05a1299466",
    "weights/persistence.npz": "04a6d67331bc97ae3102e4849e178e680ab8d86a20f33e6370f85a1163f33354",
    "weights/rotate_180.npz": "58338b0680f1177fdf096899ff605d9c92ac7f451130769e52902a7e33bc367c",
    "weights/rotate_90_clockwise.npz": "109d567994c61cd14b115e75162b68942566695308156e6032a547b2852b0158",
    "weights/swap_red_green.npz": "9c5080257654092198d195dbb7e690bc078e0efd966e2afe8db8129fad1402d3",
    "weights/trained_control.npz": "0122384fd5579aedf98fde8cdb18d5860f16c786b27f7cbe2084dcec2721b133",
    "README.md": "d2bf7a8760cbb961267c7024d3637349bbf1c99fe0ffc3e10d005d78a2dd7403",
    "REPRODUCIBILITY.txt": "8ae88d72d3bab1ba6813146412daa7862d70c4d275f2461f9e4883916ed2cced",
    "LICENSE": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
    "NOTICE.md": "92e76131cf2fc42d8b9fffa4c7b53669c5932ee01f42585f462ae765ff3f3163",
    "CITATION.cff": "9103f90386f7493164467c58540a0e83ad35a06904c3b71cb1cfe0898a5bd386"
  },
  "repository": "https://github.com/stenichele/NCA-weight-space-reprogramming",
  "web_report": "https://stenichele.github.io/NCA-weight-space-reprogramming/"
}