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Paper Citation Record · LEDGER

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10887.

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

pith.paper-citation-record.v1
2402.10887 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:14:35.689719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:13:31.083118Z

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 43b9d0cf-d55a-4698-945c-03e1f7883c75 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:31.084650Z

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.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:8c0674bcbed20cbbd580e44475c1f44ac87bef93eb2e8cb74c23d85d603d1744

Observation 79e790f4-9bbd-4f55-a494-1217a44fb875 · inbound

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds cites this paper.

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T21:14:35.689719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:14:35.689719Z digest=sha256:777564106a8d04ddf936ca0efc4314fe79ec234580ce102b6c0f4c5e1d92dbbc