{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:JXLZR2KBHU2DQ4FZFUIQC45NGQ","short_pith_number":"pith:JXLZR2KB","canonical_record":{"source":{"id":"2202.01782","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-03T14:40:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"92915b50c1f29bb78e3a897e48de033ad302fddb2f5358520a7ff39c09f265e7","abstract_canon_sha256":"a275cbc487d4020b07fb89741067cb604145c912c086af474d6539564c412f87"},"schema_version":"1.0"},"canonical_sha256":"4dd798e9413d343870b92d110173ad340f0fc9bb7bcef3d95b02a0bc8bd2f6d8","source":{"kind":"arxiv","id":"2202.01782","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.01782","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"arxiv_version","alias_value":"2202.01782v1","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.01782","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_12","alias_value":"JXLZR2KBHU2D","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_16","alias_value":"JXLZR2KBHU2DQ4FZ","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_8","alias_value":"JXLZR2KB","created_at":"2026-07-05T03:54:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:JXLZR2KBHU2DQ4FZFUIQC45NGQ","target":"record","payload":{"canonical_record":{"source":{"id":"2202.01782","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-03T14:40:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"92915b50c1f29bb78e3a897e48de033ad302fddb2f5358520a7ff39c09f265e7","abstract_canon_sha256":"a275cbc487d4020b07fb89741067cb604145c912c086af474d6539564c412f87"},"schema_version":"1.0"},"canonical_sha256":"4dd798e9413d343870b92d110173ad340f0fc9bb7bcef3d95b02a0bc8bd2f6d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:05.193429Z","signature_b64":"juW31fUqG115Ek38iT/Y3BezNIYlkAWiw9rkkho7yXztZb8o45ArOhTDlRPuS9tQPflGIw27MNHDLVJJHAxKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4dd798e9413d343870b92d110173ad340f0fc9bb7bcef3d95b02a0bc8bd2f6d8","last_reissued_at":"2026-07-05T03:54:05.192994Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:05.192994Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.01782","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":"2026-07-05T03:54:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7dnSFCAvCIaSgsjYUoU+v2O0QVCJOvkYlin90YJsfNYmEc2wRd4Oc+ks/sPqIvO5AVTAzG5Gbz8OGOUA0HtmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T01:59:31.805445Z"},"content_sha256":"78cf22f0160cb7a44b57d80003ab9f4bf7f8e407396298d8badb19073a3275f2","schema_version":"1.0","event_id":"sha256:78cf22f0160cb7a44b57d80003ab9f4bf7f8e407396298d8badb19073a3275f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:JXLZR2KBHU2DQ4FZFUIQC45NGQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Retinal Vessel Segmentation with Pixel-wise Adaptive Filters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chang Chen, Dong Liu, Mingxing Li, Shenglong Zhou, Yueyi Zhang, Zhiwei Xiong","submitted_at":"2022-02-03T14:40:36Z","abstract_excerpt":"Accurate retinal vessel segmentation is challenging because of the complex texture of retinal vessels and low imaging contrast. Previous methods generally refine segmentation results by cascading multiple deep networks, which are time-consuming and inefficient. In this paper, we propose two novel methods to address these challenges. First, we devise a light-weight module, named multi-scale residual similarity gathering (MRSG), to generate pixel-wise adaptive filters (PA-Filters). Different from cascading multiple deep networks, only one PA-Filter layer can improve the segmentation results. Sec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.01782","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/2202.01782/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":"2026-07-05T03:54:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ah2Hp+0KoPHSGeVMXkjwl1cSdDymwab7jVPewa/T2Rpm51DyuwAY16mxgxeiqG9qtcfwruyHBf559bj2/b/UDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T01:59:31.806082Z"},"content_sha256":"80cf14f0c302db37bbdbdad29fc23ad233c764e82066da06d67cf51935139e23","schema_version":"1.0","event_id":"sha256:80cf14f0c302db37bbdbdad29fc23ad233c764e82066da06d67cf51935139e23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/bundle.json","state_url":"https://pith.science/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/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":"2026-07-07T01:59:31Z","links":{"resolver":"https://pith.science/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ","bundle":"https://pith.science/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/bundle.json","state":"https://pith.science/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JXLZR2KBHU2DQ4FZFUIQC45NGQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JXLZR2KBHU2DQ4FZFUIQC45NGQ","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":"a275cbc487d4020b07fb89741067cb604145c912c086af474d6539564c412f87","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-03T14:40:36Z","title_canon_sha256":"92915b50c1f29bb78e3a897e48de033ad302fddb2f5358520a7ff39c09f265e7"},"schema_version":"1.0","source":{"id":"2202.01782","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.01782","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"arxiv_version","alias_value":"2202.01782v1","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.01782","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_12","alias_value":"JXLZR2KBHU2D","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_16","alias_value":"JXLZR2KBHU2DQ4FZ","created_at":"2026-07-05T03:54:05Z"},{"alias_kind":"pith_short_8","alias_value":"JXLZR2KB","created_at":"2026-07-05T03:54:05Z"}],"graph_snapshots":[{"event_id":"sha256:80cf14f0c302db37bbdbdad29fc23ad233c764e82066da06d67cf51935139e23","target":"graph","created_at":"2026-07-05T03:54:05Z","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/2202.01782/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate retinal vessel segmentation is challenging because of the complex texture of retinal vessels and low imaging contrast. Previous methods generally refine segmentation results by cascading multiple deep networks, which are time-consuming and inefficient. In this paper, we propose two novel methods to address these challenges. First, we devise a light-weight module, named multi-scale residual similarity gathering (MRSG), to generate pixel-wise adaptive filters (PA-Filters). Different from cascading multiple deep networks, only one PA-Filter layer can improve the segmentation results. Sec","authors_text":"Chang Chen, Dong Liu, Mingxing Li, Shenglong Zhou, Yueyi Zhang, Zhiwei Xiong","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-03T14:40:36Z","title":"Retinal Vessel Segmentation with Pixel-wise Adaptive Filters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.01782","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":"sha256:78cf22f0160cb7a44b57d80003ab9f4bf7f8e407396298d8badb19073a3275f2","target":"record","created_at":"2026-07-05T03:54:05Z","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":"a275cbc487d4020b07fb89741067cb604145c912c086af474d6539564c412f87","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-02-03T14:40:36Z","title_canon_sha256":"92915b50c1f29bb78e3a897e48de033ad302fddb2f5358520a7ff39c09f265e7"},"schema_version":"1.0","source":{"id":"2202.01782","kind":"arxiv","version":1}},"canonical_sha256":"4dd798e9413d343870b92d110173ad340f0fc9bb7bcef3d95b02a0bc8bd2f6d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4dd798e9413d343870b92d110173ad340f0fc9bb7bcef3d95b02a0bc8bd2f6d8","first_computed_at":"2026-07-05T03:54:05.192994Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:05.192994Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"juW31fUqG115Ek38iT/Y3BezNIYlkAWiw9rkkho7yXztZb8o45ArOhTDlRPuS9tQPflGIw27MNHDLVJJHAxKDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:05.193429Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.01782","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78cf22f0160cb7a44b57d80003ab9f4bf7f8e407396298d8badb19073a3275f2","sha256:80cf14f0c302db37bbdbdad29fc23ad233c764e82066da06d67cf51935139e23"],"state_sha256":"951bc4ffec649b64e2cc128bb2f8daab68989eaf0ab3c63251a98e0aae142052"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VfeeT3RMwz5LE/10i0WKiF6AStuhUL5WDc95FFYWEdZfcwkadnEt7irzY4bwz2suzVNk8GDwEf18d4cYgy5pCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T01:59:31.809836Z","bundle_sha256":"c2ee078c772e8bf9e3b97c0dfd348b806a7e60e48d3147bb1a15fd8bfd6b1804"}}