{ "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": { "arterial_path": "ce70fa42b63eb44df2d1e4906c61eca23ba80c748ee5358137452b4d5aeed6ff", "venous_path": "27673abe6398be15f0b35629e986372cae7f3128dc3e278c4939587ca72f448a", "excretory_path": "31a43dd92124042b7ac612f72ee117f87dd1755045aaa580a7a66c43a90f4c7a" } }, "original": { "code": "Project-MONAI/model-zoo/renalStructures_CECT_segmentation", "version_or_commit": "db9eeeef7ba64ce2ced0230d9bd4c524f69b7f0c", "precision": "float32; MONAI 1.6.0, PyTorch 2.14.1", "command": "MEDMLX_RENAL_WORK=/work/runs/renal-numerics-20261012 MEDMLX_RENAL_BUNDLE=/work/runs/renal-numerics-20261012/bundles/renalStructures_CECT_segmentation /mlx/segresnet-mlx/.venv/bin/python /benchmarks/reference/renal_cect/monai_reference.py", "command_reconstructed": false, "execution_date": "2026-10-12", "source_files_sha256": { "configs/inference.json": "a7955d3a07c5085351f29cf572361964cff0a7ae76f0363aae49eab4c849a535", "scripts/my_transforms.py": "d780252d1a30adce08d1a94cb348c1792b4f42b12fc761f5be93b1b8278a2ead", "models/model.pt": "ef934ae5b6fdf9a19b83ab9ec28b64d63dca43aea8ef3e177724c3076170a21f" }, "monai_revision": "eccefc57550b111ed781d82249dfe77872a0e918", "retained_reference_device": "torch-cpu", "device": "cpu", "checkpoint_sha256": "ef934ae5b6fdf9a19b83ab9ec28b64d63dca43aea8ef3e177724c3076170a21f" }, "mlx": { "run_record": "results/runs/segresnet-renal-cect.json", "output_path": "/work/runs/renal-numerics-20261012/mlx-final/renalStructures_CECT_segmentation_mask.nii.gz", "output_sha256": "fa6de5a6a23f0216a1ca477ee75222e9599058753ec029e64a6afebca9cb3314" }, "comparison": { "metric": "minimum per-label mask Dice", "value": 1.0, "per_label": { "0": { "dice": 1.0, "original_voxels": 5412229, "mlx_voxels": 5412229, "intersection_voxels": 5412229 }, "1": { "dice": 1.0, "original_voxels": 84553, "mlx_voxels": 84553, "intersection_voxels": 84553 }, "2": { "dice": 1.0, "original_voxels": 32851, "mlx_voxels": 32851, "intersection_voxels": 32851 }, "3": { "dice": 1.0, "original_voxels": 23363, "mlx_voxels": 23363, "intersection_voxels": 23363 }, "4": { "dice": 1.0, "original_voxels": 276280, "mlx_voxels": 276280, "intersection_voxels": 276280 }, "5": { "dice": 1.0, "original_voxels": 106324, "mlx_voxels": 106324, "intersection_voxels": 106324 } }, "threshold": { "min_dice": 0.99, "scope": "every label present in either mask, including background" }, "result": "pass", "differing_voxels": 0, "geometry": { "shape": [ 380, 220, 71 ], "affine_max_abs_diff": 0.0 }, "original_output_path": "/work/runs/renal-numerics-20261012/monai/export/arterial/arterial_trans.nii.gz", "original_output_sha256": "57e9025b66bbf7ba862e375c106c630baa39ff6fecc58205eb91cc038fefb1a0", "raw_logits": { "shape": [ 1, 6, 334, 193, 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": [ { "label": "background", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true }, { "label": "artery", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true }, { "label": "vein", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true }, { "label": "ureter", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true }, { "label": "neoplasm", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true }, { "label": "parenchyma", "elements": 14181640, "max_abs": 0.0, "mean_abs": 0.0, "failing_elements_rtol_1e-4_atol_1e-4": 0, "sign_mismatches": 0, "finite": true } ], "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": { "inputs": { "arterial_path": { "path": "/work/runs/inputs/renal-cect/prepared_denoised/arterial.nii.gz", "sha256": "ce70fa42b63eb44df2d1e4906c61eca23ba80c748ee5358137452b4d5aeed6ff" }, "venous_path": { "path": "/work/runs/inputs/renal-cect/prepared_denoised/venous.nii.gz", "sha256": "27673abe6398be15f0b35629e986372cae7f3128dc3e278c4939587ca72f448a" }, "excretory_path": { "path": "/work/runs/inputs/renal-cect/prepared_denoised/excretory.nii.gz", "sha256": "31a43dd92124042b7ac612f72ee117f87dd1755045aaa580a7a66c43a90f4c7a" } }, "mlx_outputs": { "mask": { "path": "/work/runs/renal-numerics-20261012/mlx-final/renalStructures_CECT_segmentation_mask.nii.gz", "sha256": "fa6de5a6a23f0216a1ca477ee75222e9599058753ec029e64a6afebca9cb3314" } }, "checkpoint": { "path": "/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" ] }