{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:65KMTEJW3YNLXBWDLCGNNMTKLR","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":"bed6a184b041382fbef8867a421cfabc770517172833419f1d119760b9b06296","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T11:23:57Z","title_canon_sha256":"77636c64ef97383cf09a97dba57632e42168391aa1deb7ae27725f4b24e47ef6"},"schema_version":"1.0","source":{"id":"2405.14444","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14444","created_at":"2026-07-05T08:22:14Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14444v1","created_at":"2026-07-05T08:22:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14444","created_at":"2026-07-05T08:22:14Z"},{"alias_kind":"pith_short_12","alias_value":"65KMTEJW3YNL","created_at":"2026-07-05T08:22:14Z"},{"alias_kind":"pith_short_16","alias_value":"65KMTEJW3YNLXBWD","created_at":"2026-07-05T08:22:14Z"},{"alias_kind":"pith_short_8","alias_value":"65KMTEJW","created_at":"2026-07-05T08:22:14Z"}],"graph_snapshots":[{"event_id":"sha256:b0277defa490c8d2306cd06013bf72e8df6cf257c9b1b6c1a2fc39f820e6dc86","target":"graph","created_at":"2026-07-05T08:22:14Z","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/2405.14444/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the recent progress in medical image segmentation with scribble-based annotations, the segmentation results of most models are still not ro-bust and generalizable enough in open environments. Evidential deep learn-ing (EDL) has recently been proposed as a promising solution to model predictive uncertainty and improve the reliability of medical image segmen-tation. However directly applying EDL to scribble-supervised medical im-age segmentation faces a tradeoff between accuracy and reliability. To ad-dress the challenge, we propose a novel framework called Dual-Branch Evi-dential Deep L","authors_text":"Haigen Hu, Haixia Long, Qianwei Zhou, Qiu Guan, Xinli Xu, Yitong Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T11:23:57Z","title":"DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14444","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":"sha256:31e1df30e97b2c44564141fed816196d71bf643cd9013c9c1a4dc71a96ee698a","target":"record","created_at":"2026-07-05T08:22:14Z","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":"bed6a184b041382fbef8867a421cfabc770517172833419f1d119760b9b06296","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T11:23:57Z","title_canon_sha256":"77636c64ef97383cf09a97dba57632e42168391aa1deb7ae27725f4b24e47ef6"},"schema_version":"1.0","source":{"id":"2405.14444","kind":"arxiv","version":1}},"canonical_sha256":"f754c99136de1abb86c3588cd6b26a5c5cb98c965aecd72dc8bbd90976121ac4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f754c99136de1abb86c3588cd6b26a5c5cb98c965aecd72dc8bbd90976121ac4","first_computed_at":"2026-07-05T08:22:14.699276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:14.699276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1wSr46j0saq15BUbABiX3BmPM7H8FBnx4VlyqdLr//QKLtcg/OBvf8p2CdlhVkCPR2VwZBtCm263bIHKUHT7Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:14.699716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14444","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31e1df30e97b2c44564141fed816196d71bf643cd9013c9c1a4dc71a96ee698a","sha256:b0277defa490c8d2306cd06013bf72e8df6cf257c9b1b6c1a2fc39f820e6dc86"],"state_sha256":"ce035967d97bd6077812d1655ec4537689e6474eb059b32aeed09a3e91970ade"}