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{
  "schema_version": "medmlx.reference.v1",
  "model": "segresnet-renal-cect",
  "date": "2026-10-12T23:27:50.228834+00:00",
  "case": {
    "dataset": "CPTAC-CCRCC (TCIA), patient C3L-01458, CC BY 4.0",
    "case_id": "C3L-01458",
    "input_sha256": {
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      "excretory_path": "31a43dd92124042b7ac612f72ee117f87dd1755045aaa580a7a66c43a90f4c7a"
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    "version_or_commit": "db9eeeef7ba64ce2ced0230d9bd4c524f69b7f0c",
    "precision": "float32; MONAI 1.6.0, PyTorch 2.14.1",
    "command": "MEDMLX_RENAL_WORK=<paper-repo>/work/runs/renal-numerics-20261012 MEDMLX_RENAL_BUNDLE=<paper-repo>/work/runs/renal-numerics-20261012/bundles/renalStructures_CECT_segmentation <repositories>/mlx/segresnet-mlx/.venv/bin/python <paper-repo>/benchmarks/reference/renal_cect/monai_reference.py",
    "command_reconstructed": false,
    "execution_date": "2026-10-12",
    "source_files_sha256": {
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      "scripts/my_transforms.py": "d780252d1a30adce08d1a94cb348c1792b4f42b12fc761f5be93b1b8278a2ead",
      "models/model.pt": "ef934ae5b6fdf9a19b83ab9ec28b64d63dca43aea8ef3e177724c3076170a21f"
    },
    "monai_revision": "eccefc57550b111ed781d82249dfe77872a0e918",
    "retained_reference_device": "torch-cpu",
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    "checkpoint_sha256": "ef934ae5b6fdf9a19b83ab9ec28b64d63dca43aea8ef3e177724c3076170a21f"
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  "mlx": {
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    "output_path": "<paper-repo>/work/runs/renal-numerics-20261012/mlx-final/renalStructures_CECT_segmentation_mask.nii.gz",
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  "comparison": {
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    "value": 1.0,
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        "original_voxels": 5412229,
        "mlx_voxels": 5412229,
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      },
      "1": {
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      },
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        "original_voxels": 23363,
        "mlx_voxels": 23363,
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      },
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        "mlx_voxels": 276280,
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      },
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        "mlx_voxels": 106324,
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    },
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      "scope": "every label present in either mask, including background"
    },
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    "geometry": {
      "shape": [
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      ],
      "affine_max_abs_diff": 0.0
    },
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        220
      ],
      "dtype": "float32",
      "rtol": 0.0001,
      "atol": 0.0001,
      "tolerance_source": "segresnet-mlx/tests/test_torch_oracles.py; unchanged released-checkpoint criterion",
      "allclose": true,
      "signs_equal": true,
      "failing_elements": 0,
      "sign_mismatches": 0,
      "normalized_l2": 0.0,
      "channels": [
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          "elements": 14181640,
          "max_abs": 0.0,
          "mean_abs": 0.0,
          "failing_elements_rtol_1e-4_atol_1e-4": 0,
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        },
        {
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          "max_abs": 0.0,
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          "failing_elements_rtol_1e-4_atol_1e-4": 0,
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          "finite": true
        },
        {
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          "max_abs": 0.0,
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        },
        {
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        },
        {
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          "max_abs": 0.0,
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          "failing_elements_rtol_1e-4_atol_1e-4": 0,
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        },
        {
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          "elements": 14181640,
          "max_abs": 0.0,
          "mean_abs": 0.0,
          "failing_elements_rtol_1e-4_atol_1e-4": 0,
          "sign_mismatches": 0,
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        }
      ],
      "elements": 85089840,
      "finite": true,
      "max_abs": 0.0,
      "differing_elements": 0,
      "array_equal": true,
      "result": "pass"
    },
    "retained_receipt_path": "results/renal-numerics-20261012.json",
    "retained_receipt_sha256": "fdd985ea32200b4a4c47319058c6bff62d2a57bf7e0399283235581e4b4f127d"
  },
  "notes": "Rechecked the fresh independently parsed 2026-10-12 MONAI CPU pipeline and corrected native MLX outputs on the retained C3L-01458 preparation; this recheck performs no model inference. Source-order FP32 convolution and Welford GroupNorm yield bitwise-identical raw logits: 0/85,089,840 differences, max absolute error 0, zero sign mismatches, unchanged rtol=atol=1e-4 pass. All 5,935,600 exported mask voxels agree (every label Dice 1). Stable sigmoid eliminates the native exp overflow warning without changing threshold decisions. Anatomical accuracy remains unverified: manual crop/registration and substituted denoising, no reference labels. Historical failed evidence is retained in the linked prior records.",
  "failure": null,
  "verification": {
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        "sha256": "ce70fa42b63eb44df2d1e4906c61eca23ba80c748ee5358137452b4d5aeed6ff"
      },
      "venous_path": {
        "path": "<paper-repo>/work/runs/inputs/renal-cect/prepared_denoised/venous.nii.gz",
        "sha256": "27673abe6398be15f0b35629e986372cae7f3128dc3e278c4939587ca72f448a"
      },
      "excretory_path": {
        "path": "<paper-repo>/work/runs/inputs/renal-cect/prepared_denoised/excretory.nii.gz",
        "sha256": "31a43dd92124042b7ac612f72ee117f87dd1755045aaa580a7a66c43a90f4c7a"
      }
    },
    "mlx_outputs": {
      "mask": {
        "path": "<paper-repo>/work/runs/renal-numerics-20261012/mlx-final/renalStructures_CECT_segmentation_mask.nii.gz",
        "sha256": "fa6de5a6a23f0216a1ca477ee75222e9599058753ec029e64a6afebca9cb3314"
      }
    },
    "checkpoint": {
      "path": "<paper-repo>/work/runs/renal-numerics-20261012/bundles/renalStructures_CECT_segmentation/models/model.pt",
      "sha256": "ef934ae5b6fdf9a19b83ab9ec28b64d63dca43aea8ef3e177724c3076170a21f"
    }
  },
  "prior_attempt_records": [
    "results/reference/history/segresnet-renal-cect-before-20261012-fix.json",
    "results/renal-independent-reference-20261009.json"
  ]
}