Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
U-Net and its variants for medical image segmentation: theory and applications
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.01118.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:30.308728Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:42:05.889219Z
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 ef4aa08a-fc48-4fc7-af84-71d160db76e6 · inbound
A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images cites this paper.
A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images U-Net and its variants for medical image segmentation: theory and applications
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:42:05.891977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8edebaef-15d2-46a7-9281-be5fea317c75 · inbound
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets cites this paper.
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets U-Net and its variants for medical image segmentation: theory and applications
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:58:30.308728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b553fffb-42cd-429a-88c9-2e95d047f6b9 · inbound
MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images cites this paper.
MTCurv: Deep learning for direct microtubule curvature mapping in noisy fluorescence microscopy images U-Net and its variants for medical image segmentation: theory and applications
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:46:25.194832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.