{"as_of":"2026-08-07T19:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5ee6ba361b3aceda40c52e0705cbc53defd3d4a3ad88c0385b8fd8f78fc695a","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":"2026-08-06T22:02:24.910019Z","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":"2026-08-06T19:08:00.870007Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.04294","last_updated":"2023-06-16T18:29:12Z","snapshot_observed_at":"2026-07-06T12:45:43.213932Z","submitted_at":"2022-03-08T04:23:47Z","title":"NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.04294","snapshot_observed_at":"2026-08-06T22:02:24.910019Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01055","last_updated":"2025-06-28T03:06:25Z","snapshot_observed_at":"2026-08-07T10:42:26.273444Z","submitted_at":"2025-06-28T03:06:25Z","title":"Prompt Mechanisms in Medical Imaging: A Comprehensive Survey","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:02:24.910019Z"},"links":{"cited_paper":"/paper/2203.04294","citing_paper":"/paper/2507.01055"},"observation_digest":"sha256:246a5e1c247f77e76d0c03d4074f1759070ccdd953cbad3e2b57da13fe176b44","observation_id":"b95f4f34-9c59-4b02-9871-44f3ef137566","resolution":{"observed_at":"2026-08-06T22:02:24.910019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04294","last_updated":"2023-06-16T18:29:12Z","snapshot_observed_at":"2026-07-06T12:45:43.213932Z","submitted_at":"2022-03-08T04:23:47Z","title":"NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline","version":3},"cited_work":{"arxiv_id":"2203.04294","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04294","snapshot_observed_at":"2026-08-06T19:08:00.870007Z","title":"NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline","venue":"eess.IV","work_id":"571abd7a-ed8d-4465-9ced-cf196c598980","year":2022},"citing_paper":{"arxiv_id":"2507.06581","last_updated":"2025-07-09T06:15:20Z","snapshot_observed_at":"2026-08-06T18:57:30.267191Z","submitted_at":"2025-07-09T06:15:20Z","title":"Airway Segmentation Network for Enhanced Tubular Feature Extraction","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-06T19:08:00.832659Z"},"links":{"cited_paper":"/paper/2203.04294","citing_paper":"/paper/2507.06581"},"observation_digest":"sha256:ac4d3bcc69bc2ced79cf3af1364a78f58f9342e8b830be4e808fa688f5620d58","observation_id":"b419c62a-f5f1-4ecb-86d2-cfba8e65c1f1","resolution":{"observed_at":"2026-08-06T19:08:00.875423Z","resolver_source":"local_arxiv","status":"verified_exact"},"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/2203.04294/citation-record","integrity":"/paper/2203.04294/integrity","json":"/paper/2203.04294/citation-record.json","paper":"/paper/2203.04294"},"outbound":[],"paper":{"arxiv_id":"2203.04294","last_updated":"2023-06-16T18:29:12Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T12:45:43.213932Z","submitted_at":"2022-03-08T04:23:47Z","title":"NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline"},"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:2203.04294."}