Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Vessel Segmentation By Learning Graphical Connectivity
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1806.02279.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:38:12.770448Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T11:38:12.817177Z
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 1d80f0a3-ff2b-4177-bb18-1f160b848dd4 · inbound
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs cites this paper.
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Deep Vessel Segmentation By Learning Graphical Connectivity
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T11:38:12.823847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.