Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.07781.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T12:36:49.861489Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T12:36:49.917371Z
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 3fa6acc9-2999-487a-b233-123ef97b74b5 · inbound
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation cites this paper.
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation 3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:36:49.920511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 746e1c3e-0576-4250-9181-867b2692e06d · inbound
A Fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation cites this paper.
A Fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation 3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:45:58.750994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.