Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.08396.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:41:45.563144Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:55:44.135261Z
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 b67a5e65-4a91-4e51-b7cf-55db0867c36e · inbound
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images cites this paper.
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T18:41:45.563144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba99937e-8078-4896-a74d-cf39b8fd03ca · inbound
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention cites this paper.
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:55:44.140183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.