{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OE7SCHMUZT5GHUY5PK6UJUD3RK","short_pith_number":"pith:OE7SCHMU","canonical_record":{"source":{"id":"2308.07506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-15T00:09:33Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3c21f7b6f45a5ae7838e6d77e17ed6ba3aa79159e10fd9719068965c5f6e7af7","abstract_canon_sha256":"ced05645df8dd235f40cb6f3c90e735073dcdb2a16e0cff2444f6a9c30cb1361"},"schema_version":"1.0"},"canonical_sha256":"713f211d94ccfa63d31d7abd44d07b8aa71a8722740913051de22163138b8fd5","source":{"kind":"arxiv","id":"2308.07506","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07506","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07506v1","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07506","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_12","alias_value":"OE7SCHMUZT5G","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_16","alias_value":"OE7SCHMUZT5GHUY5","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_8","alias_value":"OE7SCHMU","created_at":"2026-07-05T06:41:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OE7SCHMUZT5GHUY5PK6UJUD3RK","target":"record","payload":{"canonical_record":{"source":{"id":"2308.07506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-15T00:09:33Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3c21f7b6f45a5ae7838e6d77e17ed6ba3aa79159e10fd9719068965c5f6e7af7","abstract_canon_sha256":"ced05645df8dd235f40cb6f3c90e735073dcdb2a16e0cff2444f6a9c30cb1361"},"schema_version":"1.0"},"canonical_sha256":"713f211d94ccfa63d31d7abd44d07b8aa71a8722740913051de22163138b8fd5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:41:26.695614Z","signature_b64":"lhJlE0ZAbBnFZ3BU4xQYBQDwgVe2dMI+qO8MrUPPPqLWQ5fmLXGlDYaV4/hvi5AtGYS+vK0ZPvbPDXFqVkMgCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"713f211d94ccfa63d31d7abd44d07b8aa71a8722740913051de22163138b8fd5","last_reissued_at":"2026-07-05T06:41:26.695128Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:41:26.695128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.07506","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:41:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B6wgI4ms08uOu76B4F8Ry2zw3XoMT7iJE8r6YEL8phQ+x0jImrRTrWJlpXp+4UzmaVeeP+HrTpky4ZWY5gfMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:26:14.076427Z"},"content_sha256":"e32b7a47e196b77923b2fc800e9c280cba3421d08c1801571767c570bcf94b62","schema_version":"1.0","event_id":"sha256:e32b7a47e196b77923b2fc800e9c280cba3421d08c1801571767c570bcf94b62"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OE7SCHMUZT5GHUY5PK6UJUD3RK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jadie Adams, Shireen Y. Elhabian","submitted_at":"2023-08-15T00:09:33Z","abstract_excerpt":"Deep learning based methods for automatic organ segmentation have shown promise in aiding diagnosis and treatment planning. However, quantifying and understanding the uncertainty associated with model predictions is crucial in critical clinical applications. While many techniques have been proposed for epistemic or model-based uncertainty estimation, it is unclear which method is preferred in the medical image analysis setting. This paper presents a comprehensive benchmarking study that evaluates epistemic uncertainty quantification methods in organ segmentation in terms of accuracy, uncertain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07506","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.07506/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:41:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TfIMaE/WoVL+1aNv74FLyWZ5mO3/AS1ZRk/2sdrFcF6AjEliFJbKkHjJaSDjNlqJZw4ubTR+NNo12qbb4C/qDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:26:14.076812Z"},"content_sha256":"f1fa1ae402ec604c8ea19e761d99bd189b5721c602288e396a045366a27a4c0f","schema_version":"1.0","event_id":"sha256:f1fa1ae402ec604c8ea19e761d99bd189b5721c602288e396a045366a27a4c0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/bundle.json","state_url":"https://pith.science/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-21T10:26:14Z","links":{"resolver":"https://pith.science/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK","bundle":"https://pith.science/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/bundle.json","state":"https://pith.science/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OE7SCHMUZT5GHUY5PK6UJUD3RK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OE7SCHMUZT5GHUY5PK6UJUD3RK","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ced05645df8dd235f40cb6f3c90e735073dcdb2a16e0cff2444f6a9c30cb1361","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-15T00:09:33Z","title_canon_sha256":"3c21f7b6f45a5ae7838e6d77e17ed6ba3aa79159e10fd9719068965c5f6e7af7"},"schema_version":"1.0","source":{"id":"2308.07506","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07506","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07506v1","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07506","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_12","alias_value":"OE7SCHMUZT5G","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_16","alias_value":"OE7SCHMUZT5GHUY5","created_at":"2026-07-05T06:41:26Z"},{"alias_kind":"pith_short_8","alias_value":"OE7SCHMU","created_at":"2026-07-05T06:41:26Z"}],"graph_snapshots":[{"event_id":"sha256:f1fa1ae402ec604c8ea19e761d99bd189b5721c602288e396a045366a27a4c0f","target":"graph","created_at":"2026-07-05T06:41:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.07506/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning based methods for automatic organ segmentation have shown promise in aiding diagnosis and treatment planning. However, quantifying and understanding the uncertainty associated with model predictions is crucial in critical clinical applications. While many techniques have been proposed for epistemic or model-based uncertainty estimation, it is unclear which method is preferred in the medical image analysis setting. This paper presents a comprehensive benchmarking study that evaluates epistemic uncertainty quantification methods in organ segmentation in terms of accuracy, uncertain","authors_text":"Jadie Adams, Shireen Y. Elhabian","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-15T00:09:33Z","title":"Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07506","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e32b7a47e196b77923b2fc800e9c280cba3421d08c1801571767c570bcf94b62","target":"record","created_at":"2026-07-05T06:41:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ced05645df8dd235f40cb6f3c90e735073dcdb2a16e0cff2444f6a9c30cb1361","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-08-15T00:09:33Z","title_canon_sha256":"3c21f7b6f45a5ae7838e6d77e17ed6ba3aa79159e10fd9719068965c5f6e7af7"},"schema_version":"1.0","source":{"id":"2308.07506","kind":"arxiv","version":1}},"canonical_sha256":"713f211d94ccfa63d31d7abd44d07b8aa71a8722740913051de22163138b8fd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"713f211d94ccfa63d31d7abd44d07b8aa71a8722740913051de22163138b8fd5","first_computed_at":"2026-07-05T06:41:26.695128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:41:26.695128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lhJlE0ZAbBnFZ3BU4xQYBQDwgVe2dMI+qO8MrUPPPqLWQ5fmLXGlDYaV4/hvi5AtGYS+vK0ZPvbPDXFqVkMgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:41:26.695614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.07506","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e32b7a47e196b77923b2fc800e9c280cba3421d08c1801571767c570bcf94b62","sha256:f1fa1ae402ec604c8ea19e761d99bd189b5721c602288e396a045366a27a4c0f"],"state_sha256":"aa3a99874f0a86013a6454db7018e630bd765ce620585893c9466ad1817406b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R1krEfJWrKgZ4WmIcp4TUMQL70zPFekYF3lxLO+7fhu68zs2yI7ZMc0dayRs1b3u6FvprXl8vYePENUchlZsCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:26:14.079219Z","bundle_sha256":"a3256f50dea80b0c3ada39c4c2cbab49a7ac3f47cc705cfe576cf776ea9340b9"}}