Paper Citation Record · LEDGER

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.17791.

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

pith.paper-citation-record.v1
2311.17791 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:08:57.573639Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T23:30:59.702020Z

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 3151695a-c3f7-4e93-84f8-be3a4c6fb0fb · inbound

Generative Adversarial Networks Bridging Art and Machine Intelligence cites this paper.

Generative Adversarial Networks Bridging Art and Machine Intelligence U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Reference 149

Resolution: verified exact; local_arxiv, observed 2026-08-08T23:30:59.705670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5ecee98-c37c-4202-a8e4-9d63719f3f69 · inbound

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation cites this paper.

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-16T04:08:57.573639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17562d94-daeb-4b15-a6bc-65b9428dff49 · inbound

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation cites this paper.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:49:34.338802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f9d4ba-eed5-49a7-9f82-8aec86106b8b · inbound

Simple is what you need for efficient and accurate medical image segmentation cites this paper.

Simple is what you need for efficient and accurate medical image segmentation U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:15.961712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.