{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BG5XJPWPAZNDISYA747J5M4NGL","short_pith_number":"pith:BG5XJPWP","canonical_record":{"source":{"id":"1903.05558","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T15:51:50Z","cross_cats_sorted":[],"title_canon_sha256":"419e66bf7dc40a09f93ceb896f133b586a496a81e39766e3ade45590f96150a1","abstract_canon_sha256":"d571139f021e3217fe483fb287d62099e1d4779008a5094a3d0c28475294a322"},"schema_version":"1.0"},"canonical_sha256":"09bb74becf065a344b00ff3e9eb38d32f5d82c37f5375cdcbbc094b80298ca10","source":{"kind":"arxiv","id":"1903.05558","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.05558","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"1903.05558v2","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.05558","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"BG5XJPWPAZND","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BG5XJPWPAZNDISYA","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BG5XJPWP","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BG5XJPWPAZNDISYA747J5M4NGL","target":"record","payload":{"canonical_record":{"source":{"id":"1903.05558","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T15:51:50Z","cross_cats_sorted":[],"title_canon_sha256":"419e66bf7dc40a09f93ceb896f133b586a496a81e39766e3ade45590f96150a1","abstract_canon_sha256":"d571139f021e3217fe483fb287d62099e1d4779008a5094a3d0c28475294a322"},"schema_version":"1.0"},"canonical_sha256":"09bb74becf065a344b00ff3e9eb38d32f5d82c37f5375cdcbbc094b80298ca10","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:57.697651Z","signature_b64":"PJhnzPrLeDdxXFtphZJPcbQAR2GLQ3R/oUvQrwFkNRyRE9RxmS/ETYJ+1ZDx4namhYMRSSC+Qh3EWNk/86gcDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09bb74becf065a344b00ff3e9eb38d32f5d82c37f5375cdcbbc094b80298ca10","last_reissued_at":"2026-05-17T23:47:57.697168Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:57.697168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.05558","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HVLiNamXK4IgfA0glAw6PC1w/k+97D7m0WhtvG0lmJJZYHE6yO3I/RpAZu400jz1dDH/8e/JzS01BD7UQC7JAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T14:05:36.771377Z"},"content_sha256":"4515f3ed85509715173922a7bcb46ea3ff31d4c00e1733f28ba9645b6e2e3089","schema_version":"1.0","event_id":"sha256:4515f3ed85509715173922a7bcb46ea3ff31d4c00e1733f28ba9645b6e2e3089"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BG5XJPWPAZNDISYA747J5M4NGL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiacheng Li, Mingming Li, Ruirui Li, Yating Zhou","submitted_at":"2019-03-13T15:51:50Z","abstract_excerpt":"We develop a connection sensitive attention U-Net(CSAU) for accurate retinal vessel segmentation. This method improves the recent attention U-Net for semantic segmentation with four key improvements: (1) connection sensitive loss that models the structure properties to improve the accuracy of pixel-wise segmentation; (2) attention gate with novel neural network structure and concatenating DOWN-Link to effectively learn better attention weights on fine vessels; (3) integration of connection sensitive loss and attention gate to further improve the accuracy on detailed vessels by additionally con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.05558","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QgIQm0pdHWYt/QducCbWq1HkoVB/9xt9rk2pZr7nV3UP9w3bA+x2r7CFT8J5optKLk7IVQ4+w8W86qpkD8PcCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T14:05:36.771724Z"},"content_sha256":"40d846af5ab5634603678f85398d95343d3f3d0c757a0df55a50d6f5385f53e7","schema_version":"1.0","event_id":"sha256:40d846af5ab5634603678f85398d95343d3f3d0c757a0df55a50d6f5385f53e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BG5XJPWPAZNDISYA747J5M4NGL/bundle.json","state_url":"https://pith.science/pith/BG5XJPWPAZNDISYA747J5M4NGL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BG5XJPWPAZNDISYA747J5M4NGL/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":"2026-07-01T14:05:36Z","links":{"resolver":"https://pith.science/pith/BG5XJPWPAZNDISYA747J5M4NGL","bundle":"https://pith.science/pith/BG5XJPWPAZNDISYA747J5M4NGL/bundle.json","state":"https://pith.science/pith/BG5XJPWPAZNDISYA747J5M4NGL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BG5XJPWPAZNDISYA747J5M4NGL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BG5XJPWPAZNDISYA747J5M4NGL","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":"d571139f021e3217fe483fb287d62099e1d4779008a5094a3d0c28475294a322","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T15:51:50Z","title_canon_sha256":"419e66bf7dc40a09f93ceb896f133b586a496a81e39766e3ade45590f96150a1"},"schema_version":"1.0","source":{"id":"1903.05558","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.05558","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"1903.05558v2","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.05558","created_at":"2026-05-17T23:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"BG5XJPWPAZND","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BG5XJPWPAZNDISYA","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BG5XJPWP","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:40d846af5ab5634603678f85398d95343d3f3d0c757a0df55a50d6f5385f53e7","target":"graph","created_at":"2026-05-17T23:47:57Z","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"},"paper":{"abstract_excerpt":"We develop a connection sensitive attention U-Net(CSAU) for accurate retinal vessel segmentation. This method improves the recent attention U-Net for semantic segmentation with four key improvements: (1) connection sensitive loss that models the structure properties to improve the accuracy of pixel-wise segmentation; (2) attention gate with novel neural network structure and concatenating DOWN-Link to effectively learn better attention weights on fine vessels; (3) integration of connection sensitive loss and attention gate to further improve the accuracy on detailed vessels by additionally con","authors_text":"Jiacheng Li, Mingming Li, Ruirui Li, Yating Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T15:51:50Z","title":"Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.05558","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":"sha256:4515f3ed85509715173922a7bcb46ea3ff31d4c00e1733f28ba9645b6e2e3089","target":"record","created_at":"2026-05-17T23:47:57Z","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":"d571139f021e3217fe483fb287d62099e1d4779008a5094a3d0c28475294a322","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-13T15:51:50Z","title_canon_sha256":"419e66bf7dc40a09f93ceb896f133b586a496a81e39766e3ade45590f96150a1"},"schema_version":"1.0","source":{"id":"1903.05558","kind":"arxiv","version":2}},"canonical_sha256":"09bb74becf065a344b00ff3e9eb38d32f5d82c37f5375cdcbbc094b80298ca10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09bb74becf065a344b00ff3e9eb38d32f5d82c37f5375cdcbbc094b80298ca10","first_computed_at":"2026-05-17T23:47:57.697168Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:57.697168Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PJhnzPrLeDdxXFtphZJPcbQAR2GLQ3R/oUvQrwFkNRyRE9RxmS/ETYJ+1ZDx4namhYMRSSC+Qh3EWNk/86gcDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:57.697651Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.05558","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4515f3ed85509715173922a7bcb46ea3ff31d4c00e1733f28ba9645b6e2e3089","sha256:40d846af5ab5634603678f85398d95343d3f3d0c757a0df55a50d6f5385f53e7"],"state_sha256":"989fa71cb25385dcfecd365306e4f63011df0925999fe96bc6852c685c9006c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lkPbYbIrxaaoNGbIQpmMD8haimh3cS0OtvaXTmEmu0QB0oGl25R162mz0IKK79XFi8cChCBREsy6LkFGlkmJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T14:05:36.773649Z","bundle_sha256":"22d9e72fa5f2c694ec7c9497124edd8abba48991e85f98746238aa13e3aa876a"}}