{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DLLW2OTPV6MJJ3EWVAZNPZPBXC","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":"08a7a681a3ed315220afae4ed415e6ffb5d833b67f8234ec91ec2a0958db8484","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-07-18T06:44:45Z","title_canon_sha256":"22b6cc1eb35d5ff023aa528e2b83e0e88ff2de3cacb70d8982680b0b97370c96"},"schema_version":"1.0","source":{"id":"2307.09005","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.09005","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"arxiv_version","alias_value":"2307.09005v1","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.09005","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_12","alias_value":"DLLW2OTPV6MJ","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"DLLW2OTPV6MJJ3EW","created_at":"2026-07-05T06:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"DLLW2OTP","created_at":"2026-07-05T06:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:33b2a13440174678fc6c86f3c8492b1ceb74614543b2b804d5c447ce680cc793","target":"graph","created_at":"2026-07-05T06:31:37Z","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/2307.09005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The annotation scarcity of medical image segmentation poses challenges in collecting sufficient training data for deep learning models. Specifically, models trained on limited data may not generalize well to other unseen data domains, resulting in a domain shift issue. Consequently, domain generalization (DG) is developed to boost the performance of segmentation models on unseen domains. However, the DG setup requires multiple source domains, which impedes the efficient deployment of segmentation algorithms in clinical scenarios. To address this challenge and improve the segmentation model's g","authors_text":"Haojin Li, Heng Li, Huazhu Fu, Jiang Liu, Wei Zhao, Xiuyun Su, Yan Hu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-07-18T06:44:45Z","title":"Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.09005","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":"sha256:7e7def35977c92ca602e1ef57bade364ed2c71fcde9fd5ef365059c1ce7ba70c","target":"record","created_at":"2026-07-05T06:31:37Z","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":"08a7a681a3ed315220afae4ed415e6ffb5d833b67f8234ec91ec2a0958db8484","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-07-18T06:44:45Z","title_canon_sha256":"22b6cc1eb35d5ff023aa528e2b83e0e88ff2de3cacb70d8982680b0b97370c96"},"schema_version":"1.0","source":{"id":"2307.09005","kind":"arxiv","version":1}},"canonical_sha256":"1ad76d3a6faf9894ec96a832d7e5e1b8a184e00cc23aaf890da8cbe100644cca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ad76d3a6faf9894ec96a832d7e5e1b8a184e00cc23aaf890da8cbe100644cca","first_computed_at":"2026-07-05T06:31:37.671684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:31:37.671684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"11rB1ZByWKJPgy1suUL1G9dIL8aCtXSbNb4pOI0vvLGMkzu81mmh5Bf8h1UmEMYot1zS5ChzS1+ijVDGyFHcAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:31:37.672163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.09005","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e7def35977c92ca602e1ef57bade364ed2c71fcde9fd5ef365059c1ce7ba70c","sha256:33b2a13440174678fc6c86f3c8492b1ceb74614543b2b804d5c447ce680cc793"],"state_sha256":"baed70a417373924adffd3ebd73d9458327c11e53bc50df2c8412db782d589e1"}