Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.02078.
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 2026-08-07T10:50:51.150632Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:50:53.576823Z
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 547fbb7c-6331-4649-8c81-46c542d51ed1 · 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 LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:50:53.581037Z
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.