Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.09636.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T00:45:44.438348Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:19:57.885076Z
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 92dfa594-1c03-467b-927f-2ebd76e728c4 · inbound
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation cites this paper.
A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:48:52.899577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ed47a3ac-abab-4cd3-9db4-735d1c32cc38 · inbound
MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network cites this paper.
MorVess: Morphology-Aware Pulmonary Vessel Segmentation Network PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:19:57.886465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.