{"as_of":"2026-08-07T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4066f9bce2793056e3c0494502a58f9708d4ec1300e85b98cb5dafc1703b5da9","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:50:51.165128Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T11:27:03.089129Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.07759","last_updated":"2022-12-09T04:21:41Z","snapshot_observed_at":"2026-08-05T13:36:30.873026Z","submitted_at":"2022-07-15T21:21:26Z","title":"ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07759","snapshot_observed_at":"2026-08-07T10:50:51.165128Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04121","last_updated":"2025-06-04T16:15:03Z","snapshot_observed_at":"2026-08-07T10:44:53.837517Z","submitted_at":"2025-06-04T16:15:03Z","title":"A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:50:51.165128Z"},"links":{"cited_paper":"/paper/2207.07759","citing_paper":"/paper/2506.04121"},"observation_digest":"sha256:ef2e558c9f9eb8515aaa38774307b3f73206fea780e05e2a54b39b0c23198e68","observation_id":"01bb6a6d-d264-46ca-9d26-f0b93db12a89","resolution":{"observed_at":"2026-08-07T10:50:51.165128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07759","last_updated":"2022-12-09T04:21:41Z","snapshot_observed_at":"2026-08-05T13:36:30.873026Z","submitted_at":"2022-07-15T21:21:26Z","title":"ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video","version":3},"cited_work":{"arxiv_id":"2207.07759","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.07759","snapshot_observed_at":"2026-07-10T11:27:03.089129Z","title":"ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video","venue":"eess.IV","work_id":"78ff460d-bb99-4d58-91a9-0eac1cd24ce7","year":2022},"citing_paper":{"arxiv_id":"2607.08203","last_updated":"2026-07-09T08:01:55Z","snapshot_observed_at":"2026-08-05T08:15:47.466265Z","submitted_at":"2026-07-09T08:01:55Z","title":"Metrics or Mirage? An Audit of Evaluation Inconsistencies in Colonoscopy Polyp Segmentation Benchmarks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-10T11:23:42.735783Z"},"links":{"cited_paper":"/paper/2207.07759","citing_paper":"/paper/2607.08203"},"observation_digest":"sha256:c16cb3ac7fd1b95eb5a4977a40937ffeead48a9de0333f8e9c28da177a72a19b","observation_id":"edf5d522-349b-40d3-9b83-f72934c2d0ee","resolution":{"observed_at":"2026-07-10T11:27:03.091516Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2207.07759/citation-record","integrity":"/paper/2207.07759/integrity","json":"/paper/2207.07759/citation-record.json","paper":"/paper/2207.07759"},"outbound":[],"paper":{"arxiv_id":"2207.07759","last_updated":"2022-12-09T04:21:41Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-05T13:36:30.873026Z","submitted_at":"2022-07-15T21:21:26Z","title":"ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.07759."}