Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:50:51.165128Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T11:27:03.089129Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 01bb6a6d-d264-46ca-9d26-f0b93db12a89 · inbound
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks cites this paper.
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:50:51.165128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edf5d522-349b-40d3-9b83-f72934c2d0ee · inbound
Metrics or Mirage? An Audit of Evaluation Inconsistencies in Colonoscopy Polyp Segmentation Benchmarks cites this paper.
Metrics or Mirage? An Audit of Evaluation Inconsistencies in Colonoscopy Polyp Segmentation Benchmarks ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T11:27:03.091516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.