Paper Citation Record · LEDGER

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.05246.

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

pith.paper-citation-record.v1
2403.05246 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:49.269808Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:45:30.074806Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 f75fde46-e4cf-46d0-907c-4effec426073 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.818242Z

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.

Observation 85493ec5-b32e-49e0-83b8-b1f9449f0f67 · inbound

Med-URWKV{\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation cites this paper.

Med-URWKV{\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:49.269808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a98156f-455b-4b72-97d0-6c1d22cbbf59 · inbound

Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation cites this paper.

Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:49:37.229011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25cda033-4eae-4479-893f-1f6588c3e44a · inbound

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation cites this paper.

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T05:59:12.818621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fdbedf0-a13e-41f1-88b1-dd08f46dac19 · inbound

An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis cites this paper.

An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:52:51.447992Z

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.

Observation 08ba744f-411f-4c1a-bf25-f8af45eb709b · inbound

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation cites this paper.

DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:50:51.451430Z

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.

Observation e89c94b5-42d8-4a03-9eb3-edb846d08018 · inbound

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation cites this paper.

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:46.644320Z

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.

Observation 3ff67c1c-1800-4048-b27a-ed3935b944ee · inbound

M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation cites this paper.

M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:39.153725Z

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.

Observation ea65d4f5-5f54-4642-8cb9-ee16e74877af · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 139

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:14:26.296227Z

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.

Observation f56ddf8b-3c60-4675-ac97-4df4e34bb423 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-07-01T06:45:30.077664Z

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.