{
  "source": "/benchmark/pangenome-reference-cv-20261014/inference-v2/runs/HG00706/hprc",
  "source_complete_sha256": "2ec1d7940786018d5e9eabbbdb81bbcfaeb1a0161602debe0a8c40b470445406",
  "source_evidence_sha256": "38e82cb3ecce7681376146223614dae9964ae8b8674adf481a1b416e91baa81a",
  "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": "df65c7097608a35a44b74feb2cf3942ce79d49ddeabfd2a91603273a8ce95a7f",
  "aliases_sha256": "7853b5661b6d8c68262b9d7388437163b21358550240b256f35967adf40c5e62",
  "job_id": "54048848",
  "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": 686891,
    "native_supported_fragments": 15460,
    "graph_supported_fragments": 14630,
    "graph_only_fragments": 3905
  },
  "status": "native_proposal_ablation_complete",
  "output_sha256": {
    "E1/calls.json": "4e826f9ebad658f186f08ee4b6f59b60582e7ef0e8ad6cffda18d53052f6dd4f",
    "E1/decisions.json": "cfc1ca5a8f057ac94509240f8c4540f694ec57311910cefaf38647edaafb9c74",
    "E1/sequence_calls.json": "b2f88387811ee222b2e33c77cf24b480b7cdcfa6883f380bff0824cf790aa7af",
    "E2/calls.json": "601592961a4239600088e324d7e98ad10e88646112930c789dede903dd226510",
    "E2/decisions.json": "34da91d502a27794a17aebb9c9570a109291280f8f38f6179ba38f097747276d",
    "E2/sequence_calls.json": "62b8338db0848d40ca092e190d38d74ba9985d319e67ae353f78cfc8bd4f6e86",
    "E3/calls.json": "7175a6c87cc69ef9ebc4c1efc5cae7d00758eea5afbc51c4c7ec0def8e5b327e",
    "E3/decisions.json": "c82bd1170fcf32d22c981f8a7a118df512f787e9ff8356c81ed8bd48cda7dfbf",
    "E3/sequence_calls.json": "2930199d8a2a124373b55b05b4dd5df8a5c636198e022b1781fc52eb7d40ad21"
  }
}