{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IAONZCT3RRCBEXAX4UPHTQ77GD","short_pith_number":"pith:IAONZCT3","canonical_record":{"source":{"id":"2505.02874","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-04T16:56:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6aac442fdf5f21d1b70b7c9a7c38a25bbb2d7d5313055d44d9a7acd4cd2da77b","abstract_canon_sha256":"3484ad502be31f8076574d422046cef6eeed1aedce2bd9d8a65054b0595b074d"},"schema_version":"1.0"},"canonical_sha256":"401cdc8a7b8c44125c17e51e79c3ff30c53af6fde4847c56f15757638ff976f2","source":{"kind":"arxiv","id":"2505.02874","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.02874","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.02874v1","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.02874","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"IAONZCT3RRCB","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"IAONZCT3RRCBEXAX","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"IAONZCT3","created_at":"2026-07-05T10:58:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IAONZCT3RRCBEXAX4UPHTQ77GD","target":"record","payload":{"canonical_record":{"source":{"id":"2505.02874","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-04T16:56:22Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6aac442fdf5f21d1b70b7c9a7c38a25bbb2d7d5313055d44d9a7acd4cd2da77b","abstract_canon_sha256":"3484ad502be31f8076574d422046cef6eeed1aedce2bd9d8a65054b0595b074d"},"schema_version":"1.0"},"canonical_sha256":"401cdc8a7b8c44125c17e51e79c3ff30c53af6fde4847c56f15757638ff976f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:48.584162Z","signature_b64":"T3KDvbUmR33xuOt2yg6up/80bdoE0oEy2mofVBzGWHBRch0+Pe7IstYls72v75qERnufxm5D9QgGsu8CxxzRBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"401cdc8a7b8c44125c17e51e79c3ff30c53af6fde4847c56f15757638ff976f2","last_reissued_at":"2026-07-05T10:58:48.583673Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:48.583673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.02874","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":"2026-07-05T10:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b40UizSIahFh204F4GUoLzY5ZUrEXZynAaiyhdpmnLW974tGDnhk5NKPvQNFVvArK2uTF/j4s61U7IwboEurBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:03:42.995695Z"},"content_sha256":"dcee6ebcda29a6afdfb5f31edd83cc479884d4a764abe11bc87d2bb2373fa60f","schema_version":"1.0","event_id":"sha256:dcee6ebcda29a6afdfb5f31edd83cc479884d4a764abe11bc87d2bb2373fa60f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IAONZCT3RRCBEXAX4UPHTQ77GD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty Quantification for Machine Learning in Healthcare: A Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Congbo Ma, Dhiyaa Al Jorf, Farah E. Shamout, Firas Darwish, L. Juli\\'an Lechuga L\\'opez, Shaza Elsharief","submitted_at":"2025-05-04T16:56:22Z","abstract_excerpt":"Uncertainty Quantification (UQ) is pivotal in enhancing the robustness, reliability, and interpretability of Machine Learning (ML) systems for healthcare, optimizing resources and improving patient care. Despite the emergence of ML-based clinical decision support tools, the lack of principled quantification of uncertainty in ML models remains a major challenge. Current reviews have a narrow focus on analyzing the state-of-the-art UQ in specific healthcare domains without systematically evaluating method efficacy across different stages of model development, and despite a growing body of resear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.02874","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/2505.02874/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":"2026-07-05T10:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7az+YG96csger+xbVS9j43XExaOoBr/NuGgck0lOGsmkWDFNZfx7VgPg9qV5T5yeoRAM+Iu95gCWa4Be+k+/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:03:42.996363Z"},"content_sha256":"552ac248942a1fe3f709a06f380f1543e688eedc27bb9c2ebc7f9107c2b6156f","schema_version":"1.0","event_id":"sha256:552ac248942a1fe3f709a06f380f1543e688eedc27bb9c2ebc7f9107c2b6156f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/bundle.json","state_url":"https://pith.science/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/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":"2026-08-09T11:03:43Z","links":{"resolver":"https://pith.science/pith/IAONZCT3RRCBEXAX4UPHTQ77GD","bundle":"https://pith.science/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/bundle.json","state":"https://pith.science/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IAONZCT3RRCBEXAX4UPHTQ77GD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IAONZCT3RRCBEXAX4UPHTQ77GD","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":"3484ad502be31f8076574d422046cef6eeed1aedce2bd9d8a65054b0595b074d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-04T16:56:22Z","title_canon_sha256":"6aac442fdf5f21d1b70b7c9a7c38a25bbb2d7d5313055d44d9a7acd4cd2da77b"},"schema_version":"1.0","source":{"id":"2505.02874","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.02874","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.02874v1","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.02874","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"IAONZCT3RRCB","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"IAONZCT3RRCBEXAX","created_at":"2026-07-05T10:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"IAONZCT3","created_at":"2026-07-05T10:58:48Z"}],"graph_snapshots":[{"event_id":"sha256:552ac248942a1fe3f709a06f380f1543e688eedc27bb9c2ebc7f9107c2b6156f","target":"graph","created_at":"2026-07-05T10:58:48Z","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/2505.02874/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Uncertainty Quantification (UQ) is pivotal in enhancing the robustness, reliability, and interpretability of Machine Learning (ML) systems for healthcare, optimizing resources and improving patient care. Despite the emergence of ML-based clinical decision support tools, the lack of principled quantification of uncertainty in ML models remains a major challenge. Current reviews have a narrow focus on analyzing the state-of-the-art UQ in specific healthcare domains without systematically evaluating method efficacy across different stages of model development, and despite a growing body of resear","authors_text":"Congbo Ma, Dhiyaa Al Jorf, Farah E. Shamout, Firas Darwish, L. Juli\\'an Lechuga L\\'opez, Shaza Elsharief","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-04T16:56:22Z","title":"Uncertainty Quantification for Machine Learning in Healthcare: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.02874","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:dcee6ebcda29a6afdfb5f31edd83cc479884d4a764abe11bc87d2bb2373fa60f","target":"record","created_at":"2026-07-05T10:58:48Z","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":"3484ad502be31f8076574d422046cef6eeed1aedce2bd9d8a65054b0595b074d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-04T16:56:22Z","title_canon_sha256":"6aac442fdf5f21d1b70b7c9a7c38a25bbb2d7d5313055d44d9a7acd4cd2da77b"},"schema_version":"1.0","source":{"id":"2505.02874","kind":"arxiv","version":1}},"canonical_sha256":"401cdc8a7b8c44125c17e51e79c3ff30c53af6fde4847c56f15757638ff976f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"401cdc8a7b8c44125c17e51e79c3ff30c53af6fde4847c56f15757638ff976f2","first_computed_at":"2026-07-05T10:58:48.583673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:48.583673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T3KDvbUmR33xuOt2yg6up/80bdoE0oEy2mofVBzGWHBRch0+Pe7IstYls72v75qERnufxm5D9QgGsu8CxxzRBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:48.584162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.02874","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcee6ebcda29a6afdfb5f31edd83cc479884d4a764abe11bc87d2bb2373fa60f","sha256:552ac248942a1fe3f709a06f380f1543e688eedc27bb9c2ebc7f9107c2b6156f"],"state_sha256":"3fc7079cc81e8a34be442881db709abb5366d0c99b0e24e8354c0f2245ff720a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FflNCzi8kCq5QjmIf1EZbR+ZeqAE3PSmNGcF6VGUU4jIcawRtvc7Qq8a8vnl/dyr7fs1xrjs3ZF553g6WXOEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:03:43.002276Z","bundle_sha256":"3c489602cd9ab52671b4bac0d7f5b29e1fffc65abf02c91fe266c61066f024e7"}}