Paper Citation Record · LEDGER

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.00722.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.00722 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:00.434728Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T12:42:18.528289Z

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 5c4c2b4d-9cc2-44c2-8cfa-e4e5a8ea4a19 · inbound

MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation cites this paper.

MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:42:18.530580Z

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.

Observation a35a9d08-00e8-43dd-9d07-6abc86cf2ea1 · inbound

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention cites this paper.

MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:00.434728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation befeee64-e4df-47b7-b749-c7ffaab8e8ba · inbound

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging cites this paper.

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:33:58.973764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f489fbbb-07d5-4323-935f-d7bfe7dec276 · inbound

TCSAFormer: Efficient Vision Transformer with Token Compression and Sparse Attention for Medical Image Segmentation cites this paper.

TCSAFormer: Efficient Vision Transformer with Token Compression and Sparse Attention for Medical Image Segmentation BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T01:01:32.660023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.