{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SZ7LELHYPP6LN4JUI4WIAGHZVN","short_pith_number":"pith:SZ7LELHY","canonical_record":{"source":{"id":"2310.08598","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-05T09:31:58Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"7d05b33060724a210ac1352c38e4240ad2cfc77f3fa7173f1895088b5c641fbc","abstract_canon_sha256":"0fb894f63c4f44296c7c1652078019d5303d44a3f4e5bc22471f30fc8a6a2d58"},"schema_version":"1.0"},"canonical_sha256":"967eb22cf87bfcb6f134472c8018f9ab5af52f0766f5e5e564cbd7af6afd4cb3","source":{"kind":"arxiv","id":"2310.08598","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08598","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08598v3","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08598","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"SZ7LELHYPP6L","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"SZ7LELHYPP6LN4JU","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"SZ7LELHY","created_at":"2026-07-05T09:45:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SZ7LELHYPP6LN4JUI4WIAGHZVN","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08598","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-05T09:31:58Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"7d05b33060724a210ac1352c38e4240ad2cfc77f3fa7173f1895088b5c641fbc","abstract_canon_sha256":"0fb894f63c4f44296c7c1652078019d5303d44a3f4e5bc22471f30fc8a6a2d58"},"schema_version":"1.0"},"canonical_sha256":"967eb22cf87bfcb6f134472c8018f9ab5af52f0766f5e5e564cbd7af6afd4cb3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:41.430534Z","signature_b64":"ZHPz+fluG1n/SUfeMctYThcWrTLRIuPy/7Bq+AWaUHClEKpsu+6u5G09eu4DVsAkkNqzl4lD3xyC7LMOC2LGDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"967eb22cf87bfcb6f134472c8018f9ab5af52f0766f5e5e564cbd7af6afd4cb3","last_reissued_at":"2026-07-05T09:45:41.430125Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:41.430125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08598","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Akd9444bOgpFIuqJX/KkteVFt5g13K8qfVolJz6e6GuyZyTVJhkfhPZTasdM8OHakpW6mwNndfETwJ5v75P9AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T21:36:52.933631Z"},"content_sha256":"6ce410065bc805a5b3b99ddcb5b96750ddb074108d36d2c866fef5ffee66f957","schema_version":"1.0","event_id":"sha256:6ce410065bc805a5b3b99ddcb5b96750ddb074108d36d2c866fef5ffee66f957"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SZ7LELHYPP6LN4JUI4WIAGHZVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Generalization for Medical Image Analysis: A Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Heung-Il Suk, Jee Seok Yoon, Kwanseok Oh, Maciej A. Mazurowski, Yooseung Shin","submitted_at":"2023-10-05T09:31:58Z","abstract_excerpt":"Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning (DL) have made significant contributions to its advances. However, deploying DL models for MedIA in real-world situations remains challenging due to their failure to generalize across the distributional gap between training and testing samples - a problem known as domain shift. Researchers have dedicated their efforts to developing various DL methods to adapt and perform robustly on unknown and out-of-distr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08598","kind":"arxiv","version":3},"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/2310.08598/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":"2026-07-05T09:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DX91rL2ShEioTZL1W6wHhSNqv1dx4E0+m6FeBJeSjFURIulmr4NY9Eee8b8mtpEOVubFvLsuWFNpORKVoUcyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T21:36:52.935012Z"},"content_sha256":"ff79f22b757547cab4f6a428f4e9a6437218dff78d1cf3d4546bf3ce9a3a5d54","schema_version":"1.0","event_id":"sha256:ff79f22b757547cab4f6a428f4e9a6437218dff78d1cf3d4546bf3ce9a3a5d54"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/bundle.json","state_url":"https://pith.science/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/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":"2026-08-17T21:36:52Z","links":{"resolver":"https://pith.science/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN","bundle":"https://pith.science/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/bundle.json","state":"https://pith.science/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SZ7LELHYPP6LN4JUI4WIAGHZVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SZ7LELHYPP6LN4JUI4WIAGHZVN","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":"0fb894f63c4f44296c7c1652078019d5303d44a3f4e5bc22471f30fc8a6a2d58","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-05T09:31:58Z","title_canon_sha256":"7d05b33060724a210ac1352c38e4240ad2cfc77f3fa7173f1895088b5c641fbc"},"schema_version":"1.0","source":{"id":"2310.08598","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08598","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08598v3","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08598","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"SZ7LELHYPP6L","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"SZ7LELHYPP6LN4JU","created_at":"2026-07-05T09:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"SZ7LELHY","created_at":"2026-07-05T09:45:41Z"}],"graph_snapshots":[{"event_id":"sha256:ff79f22b757547cab4f6a428f4e9a6437218dff78d1cf3d4546bf3ce9a3a5d54","target":"graph","created_at":"2026-07-05T09:45:41Z","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/2310.08598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning (DL) have made significant contributions to its advances. However, deploying DL models for MedIA in real-world situations remains challenging due to their failure to generalize across the distributional gap between training and testing samples - a problem known as domain shift. Researchers have dedicated their efforts to developing various DL methods to adapt and perform robustly on unknown and out-of-distr","authors_text":"Heung-Il Suk, Jee Seok Yoon, Kwanseok Oh, Maciej A. Mazurowski, Yooseung Shin","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-05T09:31:58Z","title":"Domain Generalization for Medical Image Analysis: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08598","kind":"arxiv","version":3},"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":"sha256:6ce410065bc805a5b3b99ddcb5b96750ddb074108d36d2c866fef5ffee66f957","target":"record","created_at":"2026-07-05T09:45:41Z","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":"0fb894f63c4f44296c7c1652078019d5303d44a3f4e5bc22471f30fc8a6a2d58","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-05T09:31:58Z","title_canon_sha256":"7d05b33060724a210ac1352c38e4240ad2cfc77f3fa7173f1895088b5c641fbc"},"schema_version":"1.0","source":{"id":"2310.08598","kind":"arxiv","version":3}},"canonical_sha256":"967eb22cf87bfcb6f134472c8018f9ab5af52f0766f5e5e564cbd7af6afd4cb3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"967eb22cf87bfcb6f134472c8018f9ab5af52f0766f5e5e564cbd7af6afd4cb3","first_computed_at":"2026-07-05T09:45:41.430125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:41.430125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZHPz+fluG1n/SUfeMctYThcWrTLRIuPy/7Bq+AWaUHClEKpsu+6u5G09eu4DVsAkkNqzl4lD3xyC7LMOC2LGDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:41.430534Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08598","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ce410065bc805a5b3b99ddcb5b96750ddb074108d36d2c866fef5ffee66f957","sha256:ff79f22b757547cab4f6a428f4e9a6437218dff78d1cf3d4546bf3ce9a3a5d54"],"state_sha256":"8ff894cd94d7725a1cfdc3adfbe74bac354a56b13a0493b5dd1d21b24c9c49f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cKzKuSmTAD2G57AcMddHGjUi7RNa6AboE15+giJwgXvECQK0jg7lz3tUlupKvMk+F9ICuwNAid9UBVDIpgncDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T21:36:52.943187Z","bundle_sha256":"c6b3ef9cd23be605cab5d3ec13a2c3f11f923bfc8f301d219448ba63be55c8ce"}}