Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.03024.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:56.666168Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T04:15:51.428826Z
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 e64b2b86-6070-4277-98d8-289e5f497eea · inbound
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation cites this paper.
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:20:56.666168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f6a7230-1cc7-4ec1-b397-c3f33d8877f2 · inbound
Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation cites this paper.
Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:15:51.431198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.