{
  "source": "/benchmark/pangenome-reference-cv-20261014/inference-expansion41/runs/HG03710/hprc",
  "source_complete_sha256": "dfd87d339bbaee935ace6352e09796730a6e555f4ec4f0b12dde009fb07cd2f2",
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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": "df9018360ff53885acff7443ca200b79c0a3c77b5b07b0e984adb8810840e9b2",
  "aliases_sha256": "5ddfe098780254d53dc48002be6e9fae86270ccdd4bfa0cde2a0942d6dc4543a",
  "job_id": "54050917",
  "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": 705850,
    "native_supported_fragments": 16202,
    "graph_supported_fragments": 15479,
    "graph_only_fragments": 4213
  },
  "status": "native_proposal_ablation_complete",
  "output_sha256": {
    "E1/calls.json": "9fa6bb020f9c6444ecb58d554c22c5d5f72bced0da668677705384d635eaab8b",
    "E1/decisions.json": "e6463e16cfcc4172983c9befaec8153f2c7e83ad9e11095a2f635e284ff338e7",
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    "E2/calls.json": "ba1828d547d88c2e8a913444e41b81d7f61b1bc16c343a189ae408fa59f546b9",
    "E2/decisions.json": "df0b1660f3c9a8f35cb70f8eb2b167dbf3da21fe2f2c082d091d6e07a92a8891",
    "E2/sequence_calls.json": "6011f3648072da45b52fe380ffdf79a1df9ee4fdb8e1073f95ebfcf3cbc9c5cc",
    "E3/calls.json": "b4d2b6170562c5c5d676f8e8609df2fbf466c65bac658f57f13a967b6368c03d",
    "E3/decisions.json": "1bd3d1d27593f58201c6c44a39307aff89db1d60fde8145700f986e30936a95e",
    "E3/sequence_calls.json": "4db685e6cf8150ed60c4d313dbaf7b0b78e6bdcc3f8e79ae7b6cae22e6a2ce38"
  }
}