{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2UMVNVYFB7R4FG7UPRKYKUYAOK","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":"347bf4c62d595fb1c014da357e7305d083b2318f5bf8408d94ef0a570918cfbe","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T15:21:37Z","title_canon_sha256":"9ff4895e61abf44c8f980f20fa15ccd83434045d838df85eb335d87d87706100"},"schema_version":"1.0","source":{"id":"2412.05968","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05968","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05968v1","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05968","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_12","alias_value":"2UMVNVYFB7R4","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_16","alias_value":"2UMVNVYFB7R4FG7U","created_at":"2026-07-05T09:46:12Z"},{"alias_kind":"pith_short_8","alias_value":"2UMVNVYF","created_at":"2026-07-05T09:46:12Z"}],"graph_snapshots":[{"event_id":"sha256:5b00482352cd1be327661f2e843c2881146c83323fbc94fb336d1e40e29af93a","target":"graph","created_at":"2026-07-05T09:46:12Z","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/2412.05968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The analysis of retinal images for the diagnosis of various diseases is one of the emerging areas of research. Recently, the research direction has been inclined towards investigating several changes in retinal blood vessels in subjects with many neurological disorders, including dementia. This research focuses on detecting diseases early by improving the performance of models for segmentation of retinal vessels with fewer parameters, which reduces computational costs and supports faster processing. This paper presents a novel lightweight encoder-decoder model that segments retinal vessels to ","authors_text":"Ivor Spence, Mehwish Mehmood, Muhammad Fahim, Shahzaib Iqbal, Tariq Mahmood Khan","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T15:21:37Z","title":"LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05968","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":"sha256:1cdd271f144caf5b9abc6947054d6437a2d39096c933b19fbe4527726e3ba0c5","target":"record","created_at":"2026-07-05T09:46:12Z","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":"347bf4c62d595fb1c014da357e7305d083b2318f5bf8408d94ef0a570918cfbe","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-08T15:21:37Z","title_canon_sha256":"9ff4895e61abf44c8f980f20fa15ccd83434045d838df85eb335d87d87706100"},"schema_version":"1.0","source":{"id":"2412.05968","kind":"arxiv","version":1}},"canonical_sha256":"d51956d7050fe3c29bf47c55855300729b8b58e9c406de9b8d1bb8bf40bdad22","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d51956d7050fe3c29bf47c55855300729b8b58e9c406de9b8d1bb8bf40bdad22","first_computed_at":"2026-07-05T09:46:12.339969Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:12.339969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lp261iCnFojMBRamKiOipLBJazvkp/ZICFu7AD/Pl8qZzlXOjNyDkeeqOEAt+SuaA+TOulfg1aElcrsAcOUrDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:12.340346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.05968","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cdd271f144caf5b9abc6947054d6437a2d39096c933b19fbe4527726e3ba0c5","sha256:5b00482352cd1be327661f2e843c2881146c83323fbc94fb336d1e40e29af93a"],"state_sha256":"c163dfb3a74034e45dbb6553ab567bfcc207111af307eb841bed2da40ab82152"}