{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:HDDHLCVI52KP2YBNH3CASPHBQ6","short_pith_number":"pith:HDDHLCVI","canonical_record":{"source":{"id":"2009.08829","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-18T13:17:13Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265910f20c9977335fd6f95474a80186680a2df0d042295ee325d506b91d7a32","abstract_canon_sha256":"3756a7a61bee80f78b406406ad45faa73a34d4f2b441de8c8d719e09716eb613"},"schema_version":"1.0"},"canonical_sha256":"38c6758aa8ee94fd602d3ec4093ce1879efcb88ba00d7e29f3e22d0c4e19d1ca","source":{"kind":"arxiv","id":"2009.08829","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08829","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08829v1","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08829","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_12","alias_value":"HDDHLCVI52KP","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_16","alias_value":"HDDHLCVI52KP2YBN","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_8","alias_value":"HDDHLCVI","created_at":"2026-07-05T01:36:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:HDDHLCVI52KP2YBNH3CASPHBQ6","target":"record","payload":{"canonical_record":{"source":{"id":"2009.08829","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-18T13:17:13Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"265910f20c9977335fd6f95474a80186680a2df0d042295ee325d506b91d7a32","abstract_canon_sha256":"3756a7a61bee80f78b406406ad45faa73a34d4f2b441de8c8d719e09716eb613"},"schema_version":"1.0"},"canonical_sha256":"38c6758aa8ee94fd602d3ec4093ce1879efcb88ba00d7e29f3e22d0c4e19d1ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:36:22.911907Z","signature_b64":"CnC7G4X+sI58D/QS2jCwqggHW/CDzqqRnZVvp2QfhLHVb3E8b6KdgcFmyHq3UfiSVwlxv368HZcu4Yd4cgnHBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38c6758aa8ee94fd602d3ec4093ce1879efcb88ba00d7e29f3e22d0c4e19d1ca","last_reissued_at":"2026-07-05T01:36:22.911545Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:36:22.911545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.08829","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:36:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ez5O/sqEIpFUPkHBjaeMePs1lljBzf66mzwIv+fd0xrMxRGbavl8osAM2f9G92LCAq676Gw0E4psB0+Ve+6JDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:17:17.816191Z"},"content_sha256":"065d12c368a75314e082b19325181d419f33b79fe2cd8d7bc61ec3c91bf40714","schema_version":"1.0","event_id":"sha256:065d12c368a75314e082b19325181d419f33b79fe2cd8d7bc61ec3c91bf40714"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:HDDHLCVI52KP2YBNH3CASPHBQ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Residual Spatial Attention Network for Retinal Vessel Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Changlu Guo, Haodong Bian, M\\'arton Szemenyei, Wei Zhou, Yugen Yi","submitted_at":"2020-09-18T13:17:13Z","abstract_excerpt":"Reliable segmentation of retinal vessels can be employed as a way of monitoring and diagnosing certain diseases, such as diabetes and hypertension, as they affect the retinal vascular structure. In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation. RSAN employs a modified residual block structure that integrates DropBlock, which can not only be utilized to construct deep networks to extract more complex vascular features, but can also effectively alleviate the overfitting. Moreover, in order to further improve the representation capability of t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08829","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2009.08829/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:36:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"crd9DTK6FD7V14yI2eROKz2wMzxoGqLoPx3KWmUcJKtkBKYJ/eButVlgcE+6dDXufFeLLlhcjkiXApW4K33mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:17:17.816814Z"},"content_sha256":"6e6928c5dd6c4b692d16578e4df87126e0c0e1cb6130ea6e66e0c112b1517ada","schema_version":"1.0","event_id":"sha256:6e6928c5dd6c4b692d16578e4df87126e0c0e1cb6130ea6e66e0c112b1517ada"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/bundle.json","state_url":"https://pith.science/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/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":"2026-08-22T22:17:17Z","links":{"resolver":"https://pith.science/pith/HDDHLCVI52KP2YBNH3CASPHBQ6","bundle":"https://pith.science/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/bundle.json","state":"https://pith.science/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HDDHLCVI52KP2YBNH3CASPHBQ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HDDHLCVI52KP2YBNH3CASPHBQ6","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":"3756a7a61bee80f78b406406ad45faa73a34d4f2b441de8c8d719e09716eb613","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-18T13:17:13Z","title_canon_sha256":"265910f20c9977335fd6f95474a80186680a2df0d042295ee325d506b91d7a32"},"schema_version":"1.0","source":{"id":"2009.08829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.08829","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"arxiv_version","alias_value":"2009.08829v1","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.08829","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_12","alias_value":"HDDHLCVI52KP","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_16","alias_value":"HDDHLCVI52KP2YBN","created_at":"2026-07-05T01:36:22Z"},{"alias_kind":"pith_short_8","alias_value":"HDDHLCVI","created_at":"2026-07-05T01:36:22Z"}],"graph_snapshots":[{"event_id":"sha256:6e6928c5dd6c4b692d16578e4df87126e0c0e1cb6130ea6e66e0c112b1517ada","target":"graph","created_at":"2026-07-05T01:36:22Z","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/2009.08829/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable segmentation of retinal vessels can be employed as a way of monitoring and diagnosing certain diseases, such as diabetes and hypertension, as they affect the retinal vascular structure. In this work, we propose the Residual Spatial Attention Network (RSAN) for retinal vessel segmentation. RSAN employs a modified residual block structure that integrates DropBlock, which can not only be utilized to construct deep networks to extract more complex vascular features, but can also effectively alleviate the overfitting. Moreover, in order to further improve the representation capability of t","authors_text":"Changlu Guo, Haodong Bian, M\\'arton Szemenyei, Wei Zhou, Yugen Yi","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-18T13:17:13Z","title":"Residual Spatial Attention Network for Retinal Vessel Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.08829","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":"sha256:065d12c368a75314e082b19325181d419f33b79fe2cd8d7bc61ec3c91bf40714","target":"record","created_at":"2026-07-05T01:36:22Z","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":"3756a7a61bee80f78b406406ad45faa73a34d4f2b441de8c8d719e09716eb613","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-09-18T13:17:13Z","title_canon_sha256":"265910f20c9977335fd6f95474a80186680a2df0d042295ee325d506b91d7a32"},"schema_version":"1.0","source":{"id":"2009.08829","kind":"arxiv","version":1}},"canonical_sha256":"38c6758aa8ee94fd602d3ec4093ce1879efcb88ba00d7e29f3e22d0c4e19d1ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38c6758aa8ee94fd602d3ec4093ce1879efcb88ba00d7e29f3e22d0c4e19d1ca","first_computed_at":"2026-07-05T01:36:22.911545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:36:22.911545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CnC7G4X+sI58D/QS2jCwqggHW/CDzqqRnZVvp2QfhLHVb3E8b6KdgcFmyHq3UfiSVwlxv368HZcu4Yd4cgnHBw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:36:22.911907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.08829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:065d12c368a75314e082b19325181d419f33b79fe2cd8d7bc61ec3c91bf40714","sha256:6e6928c5dd6c4b692d16578e4df87126e0c0e1cb6130ea6e66e0c112b1517ada"],"state_sha256":"cc39d394c00d0d738f7d19d2506bd8eca9d8ebc2dba7c730f2c7a29816e2e38e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XprM+SRG46c+p+h/EwMbMQ1OuVVQZj2BxV+MWI9h8gZC/itVjMPGZkCWj4/kaWIjDa1PyhfjQdaRzhhoIKvQCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:17:17.821716Z","bundle_sha256":"1491013f7ae934c05ffd8020bc0883aed0ffcee4fc011e736ec69ee8a7210ee1"}}