{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TLDCS4WYZVLSFQDYQQQOK36CTI","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":"8acf96f812afa3d4daec2ec606bd4d08afdad9eb294c2850799d9979b2ebb70f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-26T15:23:17Z","title_canon_sha256":"f60ea5f7f06d2b5d49a585fcf4326b0cba328a13d1c2cd6a652b5e8e41c58a2e"},"schema_version":"1.0","source":{"id":"2509.22476","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.22476","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.22476v2","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.22476","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_12","alias_value":"TLDCS4WYZVLS","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_16","alias_value":"TLDCS4WYZVLSFQDY","created_at":"2026-07-01T00:17:08Z"},{"alias_kind":"pith_short_8","alias_value":"TLDCS4WY","created_at":"2026-07-01T00:17:08Z"}],"graph_snapshots":[{"event_id":"sha256:40ba7871e1e448b256c837d854e9d02f7ab6bfe3306565a0499dafceb89d24e0","target":"graph","created_at":"2026-07-01T00:17:08Z","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/2509.22476/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robust medical image segmentation across modalities remains challenging due to severe domain shifts and the lack of target-domain labels. While diffusion models have been explored for cross-domain generation and augmentation, target-domain conditional diffusion training typically relies on highly noisy pseudo masks; naively conditioning on a single Arg-Max pseudo-label can corrupt diffusion training and downstream segmentation. We propose UPDiff-UDA, a unified UDA framework whose core is an uncertainty-guided training objective for target-domain conditional diffusion. Given an imperfect source","authors_text":"Chao Chen, Chen Li, Meilong Xu, Weimin Lyu, Xiaoling Hu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.22476","kind":"arxiv","version":2},"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":"sha256:7130d8b939fbbbcc518d6018c713c4df73532834a5f3f32db9da87cf6e17e994","target":"record","created_at":"2026-07-01T00:17:08Z","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":"8acf96f812afa3d4daec2ec606bd4d08afdad9eb294c2850799d9979b2ebb70f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-26T15:23:17Z","title_canon_sha256":"f60ea5f7f06d2b5d49a585fcf4326b0cba328a13d1c2cd6a652b5e8e41c58a2e"},"schema_version":"1.0","source":{"id":"2509.22476","kind":"arxiv","version":2}},"canonical_sha256":"9ac62972d8cd5722c0788420e56fc29a39fe78dcc878a550e4e6a8d467b2fcf5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ac62972d8cd5722c0788420e56fc29a39fe78dcc878a550e4e6a8d467b2fcf5","first_computed_at":"2026-07-01T00:17:08.945552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T00:17:08.945552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wIRmjPO2mSvgnZpNWnHFIOaOuNJ9o2dI01muBlf9Zs9eKprvwadXLsIqzq0Zn7OFXNfnQ5IvhxQtLJWkNNzGBA==","signature_status":"signed_v1","signed_at":"2026-07-01T00:17:08.946058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.22476","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7130d8b939fbbbcc518d6018c713c4df73532834a5f3f32db9da87cf6e17e994","sha256:40ba7871e1e448b256c837d854e9d02f7ab6bfe3306565a0499dafceb89d24e0"],"state_sha256":"71821998559c10d56235c289fdbe11dd7748b4f25c09366335ad50299eac4d64"}