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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 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:15.376243Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 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.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:24faa657d1424badb95882e247f790c3ee5c52bba2a9b9cdf318fddf649ca93e

Observation c5de8ad6-91c1-43d9-9c01-971bffa23233 · inbound

EDMB: Edge Detector with Mamba cites this paper.

EDMB: Edge Detector with Mamba LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:15.376243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:15.376243Z digest=sha256:3294f0abf3063d6f80225e042e069358aebd99ab38120ae5f13da537f15e7bf2

Observation 0a72050f-c4bf-4a48-82ff-40089f8de92c · inbound

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging cites this paper.

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:12:42.325381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:12:42.325381Z digest=sha256:7dad39266fbaccc2f6bd358567cd4c995a500563bb22456740e465de5d0cbe76

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.

source=pdf_text observed=2026-08-07T04:19:49.269808Z digest=sha256:8ba50d6b9798b96eec4ad872ad49350badf42574d2fe92524bf457ba2b50d0a4

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.

source=pdf_text observed=2026-08-06T22:49:37.229011Z digest=sha256:cba690c61e0fbc57725158f7cee392d68f07a3f4c30d3050d522da16825f3930

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.

source=pdf_text observed=2026-08-06T05:59:12.818621Z digest=sha256:d6e0517ac6932fef126dc9090e9c33d813ac6d64dfe50a821a6c277eac858517

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.

source=pdf_text observed=2026-05-18T21:51:53.058211Z digest=sha256:90dc0122da59b0f74d26b21e7444a346bca78b67059a235e0be9f60118721f47

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.

source=pdf_text observed=2026-05-16T10:49:00.846547Z digest=sha256:a76722f3a1ffcbb8493d0c070f2acee9853f614f69a809409945f40470706a05

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.

source=pdf_text observed=2026-05-10T00:24:45.639336Z digest=sha256:4f2634297e73ba0c6a015dcfc1b2b6320a3c1abc3214f4dc25522cd70c49332f

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.

source=pdf_text observed=2026-05-08T18:40:10.819770Z digest=sha256:c832718e2ad59e0c7a17964d80503aad8d612222be25373821706b1601d39f50

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.

source=pdf_text observed=2026-06-30T06:09:54.742202Z digest=sha256:7ffad64dc14249c7f438f1a8426903f7a95807043e4722c0d8e198e5d0c34c3d

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.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:9052f53b8c97c1001d230c014d10ab8fab310347a21f003c5d4e995ab8e8baad