{"as_of":"2026-08-18T01:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3530040fe9737039cfaf0604aaad3ada180cba58232f1cf1c8a9a8bbf09d0aea","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:10:55.579346Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T08:16:48.339665Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07338","snapshot_observed_at":"2026-08-07T15:09:58.028346Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16033","last_updated":"2025-06-19T19:07:13Z","snapshot_observed_at":"2026-08-17T14:03:15.656757Z","submitted_at":"2025-05-21T21:25:57Z","title":"An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:58.028346Z"},"links":{"cited_paper":"/paper/2405.07338","citing_paper":"/paper/2505.16033"},"observation_digest":"sha256:142e5a7dc62e4fd136f928d9745e9227ddbe944a9c2786f209a83f872d7a1322","observation_id":"fbbce8ba-b89f-463a-9a02-482173c48f7a","resolution":{"observed_at":"2026-08-07T15:09:58.028346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07338","snapshot_observed_at":"2026-08-07T15:10:55.579346Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16039","last_updated":"2025-06-23T03:56:46Z","snapshot_observed_at":"2026-08-17T18:02:23.620038Z","submitted_at":"2025-05-21T21:38:22Z","title":"An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:10:55.579346Z"},"links":{"cited_paper":"/paper/2405.07338","citing_paper":"/paper/2505.16039"},"observation_digest":"sha256:e24dc25ae3f181005ca632845371933a3d4d9176a03b2aa27c6b79a5f620a406","observation_id":"78d32d7f-0a73-4521-b37e-219122d321a1","resolution":{"observed_at":"2026-08-07T15:10:55.579346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07338","snapshot_observed_at":"2026-08-07T12:21:35.552986Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03186","last_updated":"2025-05-30T12:36:45Z","snapshot_observed_at":"2026-08-07T12:16:42.127271Z","submitted_at":"2025-05-30T12:36:45Z","title":"Lightweight Convolutional Neural Networks for Retinal Disease Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:21:35.552986Z"},"links":{"cited_paper":"/paper/2405.07338","citing_paper":"/paper/2506.03186"},"observation_digest":"sha256:c1100c6c6530188da57aa7c6df3001a58608325b5e2c3be41066157e3deff3e0","observation_id":"1df9f840-62db-41be-87f3-cdf0cd352741","resolution":{"observed_at":"2026-08-07T12:21:35.552986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07338","snapshot_observed_at":"2026-08-07T05:43:12.992478Z","title":"Explainable convolutional neural networks for retinal fundus classification and cutting-edge segmentation models for retinal blood vessels from fundus images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07228","last_updated":"2025-06-08T17:26:13Z","snapshot_observed_at":"2026-08-07T22:12:59.211228Z","submitted_at":"2025-06-08T17:26:13Z","title":"Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:43:12.992478Z"},"links":{"cited_paper":"/paper/2405.07338","citing_paper":"/paper/2506.07228"},"observation_digest":"sha256:be9f4c052839edaf0a15159114a759c72c8dcf56b62a63ba583157132385f46a","observation_id":"b570c8fd-45ae-48ee-ac56-bd19df61d967","resolution":{"observed_at":"2026-08-07T05:43:12.992478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","version":1},"cited_work":{"arxiv_id":"2405.07338","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.07338","snapshot_observed_at":"2026-07-02T08:16:48.339665Z","title":null,"venue":null,"work_id":"bd837efa-8437-4be2-995a-1bad53ddd4c0","year":2024},"citing_paper":{"arxiv_id":"2606.05354","last_updated":"2026-06-03T18:56:13Z","snapshot_observed_at":"2026-08-17T20:48:45.772788Z","submitted_at":"2026-06-03T18:56:13Z","title":"LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T06:09:38.263791Z"},"links":{"cited_paper":"/paper/2405.07338","citing_paper":"/paper/2606.05354"},"observation_digest":"sha256:8823d31e112e7bad6f0f44c6a0d2b3a18c646730c0662f65e8bb22876b1deee8","observation_id":"de5283d4-8490-4384-b4b1-2d348d37abde","resolution":{"observed_at":"2026-07-02T08:16:48.341283Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.07338/citation-record","integrity":"/paper/2405.07338/integrity","json":"/paper/2405.07338/citation-record.json","paper":"/paper/2405.07338"},"outbound":[],"paper":{"arxiv_id":"2405.07338","last_updated":"2024-05-12T17:21:57Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T13:53:22.514884Z","submitted_at":"2024-05-12T17:21:57Z","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07338."}