{
  "source": "/benchmark/pangenome-reference-cv-20261014/inference-v2/runs/HG00658/hprc",
  "source_complete_sha256": "c4a086f00de6f9775a7585ac9771fbfcf4fbb269c636a8e342ac78aa2e8985cd",
  "source_evidence_sha256": "b75c690052743fe093524be2a2d049edef68a6f748d33b560f790c4ad0535b9a",
  "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": "06dbbdacb9628bd3f383d1ca85a3ff329aadb2c64f97b84771ab90686f477a79",
  "aliases_sha256": "5ddfe098780254d53dc48002be6e9fae86270ccdd4bfa0cde2a0942d6dc4543a",
  "job_id": "54048846",
  "graph_sequences_absent_from_native_catalogue": 0,
  "native_panel_aliases_retained": 495,
  "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": 665814,
    "native_supported_fragments": 15101,
    "graph_supported_fragments": 14290,
    "graph_only_fragments": 3650
  },
  "status": "native_proposal_ablation_complete",
  "output_sha256": {
    "E1/calls.json": "4f9355a8a1509b7f9b5eb88dc85d395901927a8e3ec3938a2b38efab67a582d5",
    "E1/decisions.json": "a7f808d5ef0efc1e9f27fe90b822257b63232e6b34b7b84fedf7bd5736a19617",
    "E1/sequence_calls.json": "0d4215c21551300b591e1fb512239c7bd1b81ad394e01b5344f0bb5ae32877d4",
    "E2/calls.json": "add9eee2ecc6a7609ebe5721b829a31664849360621d057c30537110f7807812",
    "E2/decisions.json": "7f502521ad31d44db648bb9c27607dae42b15ddbc4f723bc6588205932a8a69b",
    "E2/sequence_calls.json": "9f04eaa818482d33eb09542c34b3c44b97b2356e200595c2db5a6d0811e6393b",
    "E3/calls.json": "780c975e7c225345bddc5e9e23e4b9bdbed6ce90a547100fd5a0e34a47273cfc",
    "E3/decisions.json": "b3e0adfb8e0469704627991c62b5681e39c3fe792c6df35394d3a9c746020201",
    "E3/sequence_calls.json": "c4858847e7c3a08e6d0bf018eac1167a2cbb2a7527c1519fd957251e0cdefc8d"
  }
}