{
  "source": "/benchmark/pangenome-reference-cv-20261014/inference-expansion41/runs/HG02083/hprc",
  "source_complete_sha256": "afbeba2f8eea12dd8daca7a21c08891803e0e3bce7922f1a76667393a479f4b4",
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  "code_sha256": {
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    "build_graph.py": "170765c3d0c53b3fc5bc9973016a17195937b9798e191dbacb08db124b94261a",
    "context_fragment.py": "098c19433935309ed05a2e3534ed514660c7af34baa3ce51928c3e6bca5ea6d6",
    "context_inference.py": "cb6007033d7d7320a26d8dc57283438385550949666e64e844363b159b66f7a0",
    "context_read_store.py": "6226eb83e37af78fcea04e17529f7cca8cd8e8b9e470b8ea5b0f5ad8a396eeee",
    "context_runtime_identity.py": "6d132df334e8ff31aeeb724808ed58aa8b7b7c264c97156ef89e9bdf52f115fb",
    "cv_references.py": "db687df88f0bc4e227c9b73242918629b1127d8ac80271c59056d703830ab126",
    "evidence_io.py": "14495b5ddbe02f4514f886424a4c75aa42ca5102fb78c1122ec903858a8b2289",
    "fragment_support.py": "bbfd8943563acccbb6b5ebda723d4c7cef44ef88a2dd508439cbae28cf52856f",
    "join_evidence.py": "e9e9c5ac6bcb0197436fd6403286595814f669261e5d4caf8069a11b467a4930",
    "joint_model.py": "c2279fd29e12f215e23fdd148fe7a6794b70fe8221d639c69c55e1ae6f87b5e4",
    "run_context_evidence.py": "3e99c6f7b95d4df77ae2598a59860caeb5adf059ce1be60f6a244053b0783d6a",
    "run_context_evidence_disk_v3.py": "779ad5b3833dbdfa074778515bb89dc789a857606204f378225ff888e4a94a9d",
    "run_context_inference.py": "3072b63da055bbd819ff57280e39431d2da611824059458336c0264062f3d6f5",
    "run_context_linear.py": "33ef894cf3a287ec3c52a32da50d50ea3c99f87446ce7c27144c5a6e573d2203",
    "score_native.py": "531340bcca991cd2fac6f563ae557a2882e9f75d5b3d4cd101161dc58a25eee2",
    "sequence_identity.py": "0152f515c50ce66f5dc58ad1442072b0093c247e4eca98949501d869a44cb721",
    "t1k_evidence.py": "b79c8cdf6708bf8f0401adb4a0aa9a73b8251da3543b5d6343382ac02a06b9b6",
    "test_context_inference.py": "2e2e6a2ae2ef5caa3bc2fff812656745f877b6b5100de6050f39babeb0c7ae89"
  },
  "script_sha256": "f1080946e5a29b4b384e0db73a18ca3c6398b41112779c240b85cc69a775285e",
  "native_table_sha256": "0d717b032b37de54df28dd21701a6726e4128c9271e9c2733396da8af43fbe00",
  "aliases_sha256": "7853b5661b6d8c68262b9d7388437163b21358550240b256f35967adf40c5e62",
  "job_id": "54050030",
  "graph_sequences_absent_from_native_catalogue": 0,
  "native_panel_aliases_retained": 466,
  "truth_loaded": false,
  "intervention": "Drop non-IPD-prefixed candidate placements before normalization; retain native panel aliases",
  "limitations": [
    "Existing original.fa/flanked reference configuration, not a full-genomic-IPD rebase.",
    "Tests incremental graph retrieval over native retrieval, not all possible graph algorithms.",
    "Candidate availability is held equal; retrieved candidates may differ by design.",
    "Same scorer, fallback and decision thresholds as original union replay."
  ],
  "retrieval_counts": {
    "fragments": 677528,
    "native_supported_fragments": 15413,
    "graph_supported_fragments": 14652,
    "graph_only_fragments": 3995
  },
  "status": "native_proposal_ablation_complete",
  "output_sha256": {
    "E1/calls.json": "a213bc9ea0cb3e7472111603ae7c8944aac09fbf9c838905221162a4dc92dfc9",
    "E1/decisions.json": "6f899a608a5b923e8bf6730f7715a32b3b2eb12c0fdf972f720726c1268c1dd8",
    "E1/sequence_calls.json": "c7bdd3c37a064bbf4b0d784274497e9f9655e1b30976047ab2924f208db23856",
    "E2/calls.json": "6b573ab15cba24ef9c1fed67ebef417a21aa8b9949775ae3628f85044b5a922d",
    "E2/decisions.json": "784eca47a2e608e2254411945fab16e6dd1f11cdfab669308432df2c9ba2a2be",
    "E2/sequence_calls.json": "1feaeb703ac2b2b1251c4c29206ff2ef6473f2600557f344e3d7a3390d6c70ef",
    "E3/calls.json": "e2580ccb182ed1d7d8e79a0c163501d15c5a3140b384efa8c56b88bb5a4c2b19",
    "E3/decisions.json": "dd89986deebe6c2fde3b55c5d522c7ad5bb5030709511f0c0adc2491a7393f50",
    "E3/sequence_calls.json": "5646d2b0cc00c5ea1fda9e7cc6840ce5f12d99093bc6676bf251d333be404069"
  }
}