{
  "schemaVersion": "kingy-comparison-freeze-v1",
  "frozen_at_utc": "2026-10-14T03:21:26.291196+00:00",
  "method_freeze_file": "method-freeze.json",
  "method_freeze_sha256": "d863b5ebf6fe0dac863d5f5a791af48498d80cacaa613afbbb794bde93f495ba",
  "questions_sha256": "76492fc420df3797365e1cc8f89aaf87a024747ab3846c12ca4ce007bb2029d2",
  "references_sha256": "16409377403959d9eaf49186f8375ac8d80e2e2dbcc8241087bdfa79e7df4365",
  "schedule_sha256": "fe1c5a3f3efb992c345dc609dbc2e4fe1cd2980b5e66c5eccd89c9bd3d770f42",
  "executor_sha256": "867eb5347c47ba098bd38c321cb9b30963e7d24f1e10a72591648993ed9db614",
  "runner_sha256": "d5e3c68878af3926c8844e7406a5f9f2666c133eabe624bc34836a85161f17b2",
  "start_server_sha256": "7f54900199a61c495bf5f6753a5caa13b529f86061d56ec2fca5a63be3844b2a",
  "offline_profile_sha256": "e5462ef1daae3785012cb8e4fa05b89105bf4ac4d98be9580a8c357365a4f54f",
  "runtime_sha256": "51afbf4ea6485b9ada19e99af97181f12baca42ef704b1e291c26a9ac0644eae",
  "model_sha256": "7485fe6f11af29433bc51cab58009521f205840f5b4ae3a32fa7f92e8534fdf5",
  "corpus_pdf_sha256": {
    "doc-01.pdf": "1d360b8e51d8a57c1a366c502a22800b375668ef7b16a9f690ca89cb0df1fe8a",
    "doc-02.pdf": "8e791cfcb4a8269645901bef23a65b55d1a915e3ee50daff285595c005bdde14",
    "doc-03.pdf": "a3026b5ec89e8048aade43cc9041d1b47a2a6c218bec69ea61fcb4928aded921",
    "doc-04.pdf": "171c36640f813254e2f00a840bfb3af7afd132759a7918b44b0a101abd790fd0",
    "doc-05.pdf": "bada3f5e96cd20db3e60df2855ca32536499e0ad794ca0e754110bb536818642",
    "doc-06.pdf": "c9e93f31f3a9846764fb57faa6c213f473a6771bba5ff5f90acf8fa504c852b2",
    "doc-07.pdf": "1fcb01d0e73fcee53275215fd320179d1aad807d3dbd55b30d35b78992544232",
    "doc-08.pdf": "d0ce85c99f55be103e8f514115744196eb5ceb6190ac589c079841e280571114",
    "doc-09.pdf": "f8d56fd31a7017fef9e8f1feee71b4fe3dee5bcc3104e0c089b0c754a33f5fcd",
    "doc-10.pdf": "6a8c5888b5fb930261312c04f7a127a397235afdf4b60468892afd466972c736"
  },
  "method_file_sha256": {
    "COMPARISON-PROTOCOL.md": "0dc0bd1e0533a73fc279cca744889a41df9591d6fd4c24d6ddf7a76dd42ec32b",
    "PAIRED-ANALYSIS.md": "cc09572414393b465dc5cc3388272c2027a2c423d0ab1b729e6f9fa255f32282",
    "SCORING.md": "4f64b8eaf4744cc714c90b5bf562e6ffbe37a5ddc121f85a2cb3f6d48939901a",
    "common_grade.py": "c1e12ce103e0150c52aa26a1c44503d3ce955b1d8b65ed5d8a440aff32070f69",
    "native-study-ui.mjs": "53f0682e2e8790417687373be42811e9ba12ca1a1844493542ffc362d620eb39",
    "native-ui-helper-v2.mjs": "e10ada3b1e66454db9713a6a1720c25a9d6199d948eb4236b7df1e0340cabe29",
    "native-user-template.txt": "6445968866a12a80297f52f1c97afe07ce1b425d349544f648a2faf294943b5e",
    "native-warmup.mjs": "4b0289edc48aa13dc8172dd2566e087dc61a6596dd9297ac0ff654bb877ebadc",
    "native_capture.py": "08842be13de188fc5fa8c7a333f714435bd7af6bbb037c0f0c4d686bfd15893e",
    "paired_analysis.py": "3f9d31a285e55d6c5c83b360b5e2d36e174733470e9ce2638e5ef3c444be6ca5",
    "prepare_comparison.py": "a7780ef14e0d7ee2038450a8520bb73af2e99d14956805aae9df865283ed955d",
    "run_kingy_session.py": "867eb5347c47ba098bd38c321cb9b30963e7d24f1e10a72591648993ed9db614",
    "test_common_grade.py": "a2872ad08989bcd713b7e0f1cf31609b7415ccdb342e229290209b7b4c729102",
    "test_measurement_infrastructure.py": "dd2e2b4eaa0bd336dcb927193ca787a76e1de5c8b62b1a2d64097b4f18e4195f",
    "test_native_capture.py": "d4b737c82e89d1552148b63dd748b3eec0a5baa8925acc1e95195b60f75cd6de",
    "test_paired_analysis.py": "2a87d8a6627563a01321a9f56846f009ba7c8d6c3ac50413e7490ca14fd2825f",
    "test_v15_grade.py": "607b412a1f015cfd4ba4921ccc867663c97900632a2c0ab2acc328c1b3428bfb"
  },
  "source_file_sha256": {
    "workflow-v15/runner.py": "d5e3c68878af3926c8844e7406a5f9f2666c133eabe624bc34836a85161f17b2",
    "workflow-v15/start_server.py": "7f54900199a61c495bf5f6753a5caa13b529f86061d56ec2fca5a63be3844b2a",
    "workflow-v15/prepare_model.py": "2a66acb34c1bf136b087179dbc2c5f676156bb31d971ed33b82b05e77c12f576",
    "workflow-v15/evaluate.py": "29fa9c1f6f0cf388677a00b8d02b6f1338b96a261fe3be1c8ce83e492dd2764b",
    "workflow-v15/offline.sb": "e5462ef1daae3785012cb8e4fa05b89105bf4ac4d98be9580a8c357365a4f54f",
    "workflow-v15/requirements.txt": "3ec8922905dc4e3a10c3b46bd7fba023c37ffc309d51c6bed2a13ec3e98177fd",
    "workflow-v15/SCORING.md": "f3fe6eb59d75bdd37262e3e5d2980178bfa7281ed6e1c67cd7f60893cd3ff870",
    "workflow-v15/README.md": "7ae6fdc9f653b1c9194d0c3313d6ad71aff8136be56f7449668035ebd735030e",
    "workflow-v15/LICENSE.txt": "7b5272ed8db5e81567ea2a9624ab25c04db44dc168db692c760a61f4d392100c"
  },
  "native_preflight_receipt_sha256": {
    "/Users/curtispyke/Documents/ChatGPT/kingy Wiki/implementation/2026-10-13/local-ai-guide/evidence/comparison-v15/native-preflight/verification.json": "eff126a75b3b2ebedf55e683836af0a11b4eeaad39a068536416fffaf7c2f422",
    "/Users/curtispyke/Documents/ChatGPT/kingy Wiki/implementation/2026-10-13/local-ai-guide/evidence/comparison-v15/native-preflight/effective-settings.json": "6c5c1df8f2412149991ccbff5206a90f5dd3f70e54ad15ec43ce2f453992c2ff"
  },
  "native_model_identifier": "qwen3-4b",
  "generation_seed": 271828,
  "complete_query_deadline_seconds": 90,
  "session_order": [
    "A1",
    "B1",
    "B2",
    "A2",
    "A3",
    "B3"
  ],
  "reference_values_parsed": false,
  "question_metadata_retained": [
    "id",
    "split"
  ],
  "qualificationGranted": false
}