{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QRHIELD2XDZTOZWNKY4GK23BFZ","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":"61751cb8fd528c2e6e0c896b882e252a675fd80d3a2b37e58ee7c9943c52b97b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-12T05:39:17Z","title_canon_sha256":"a2a6b59e6d8a83f2d9d80a33dbca1d78342b9766d051c2bffc5e0a64deac397d"},"schema_version":"1.0","source":{"id":"2211.06578","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.06578","created_at":"2026-07-05T06:08:52Z"},{"alias_kind":"arxiv_version","alias_value":"2211.06578v2","created_at":"2026-07-05T06:08:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.06578","created_at":"2026-07-05T06:08:52Z"},{"alias_kind":"pith_short_12","alias_value":"QRHIELD2XDZT","created_at":"2026-07-05T06:08:52Z"},{"alias_kind":"pith_short_16","alias_value":"QRHIELD2XDZTOZWN","created_at":"2026-07-05T06:08:52Z"},{"alias_kind":"pith_short_8","alias_value":"QRHIELD2","created_at":"2026-07-05T06:08:52Z"}],"graph_snapshots":[{"event_id":"sha256:841eab993c2ab0a681f0893172d19d3433af09e7bb803086902ceb50e23566f7","target":"graph","created_at":"2026-07-05T06:08:52Z","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/2211.06578/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vessel segmentation is crucial in many medical image applications, such as detecting coronary stenoses, retinal vessel diseases and brain aneurysms. However, achieving high pixel-wise accuracy, complete topology structure and robustness to various contrast variations are critical and challenging, and most existing methods focus only on achieving one or two of these aspects. In this paper, we present a novel approach, the affinity feature strengthening network (AFN), which jointly models geometry and refines pixel-wise segmentation features using a contrast-insensitive, multiscale affinity appr","authors_text":"Feng Pan, Tianyi Shi, Wei Zhou, Xiang Bai, Xiaohuan Ding, Xin Yang, Zengqiang Yan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-12T05:39:17Z","title":"Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.06578","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":"sha256:6ac0c2a5e0a93d6af4dee11725cea614c959deecf17a1f8791af2adcf226339c","target":"record","created_at":"2026-07-05T06:08:52Z","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":"61751cb8fd528c2e6e0c896b882e252a675fd80d3a2b37e58ee7c9943c52b97b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-12T05:39:17Z","title_canon_sha256":"a2a6b59e6d8a83f2d9d80a33dbca1d78342b9766d051c2bffc5e0a64deac397d"},"schema_version":"1.0","source":{"id":"2211.06578","kind":"arxiv","version":2}},"canonical_sha256":"844e822c7ab8f33766cd5638656b612e6a8f50ec583a786944a82273214a7e9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"844e822c7ab8f33766cd5638656b612e6a8f50ec583a786944a82273214a7e9c","first_computed_at":"2026-07-05T06:08:52.761119Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:52.761119Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i16/nHveB9PUpTKZ9poZW83eoUYp91QZNcSOjGdIAE3RtQVHZsDowU0Gqq9GttyHYkGYtqqJN3UdXeSOeXhWDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:52.761554Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.06578","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ac0c2a5e0a93d6af4dee11725cea614c959deecf17a1f8791af2adcf226339c","sha256:841eab993c2ab0a681f0893172d19d3433af09e7bb803086902ceb50e23566f7"],"state_sha256":"91e6f2ff6cda7776c56429048ec71bdf0710a7a93d447df5282dd99194aee635"}