Paper Citation Record · LEDGER

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.12441.

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

pith.paper-citation-record.v1
2506.12441 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:53:59.938128Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy25
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa5a00e9-b188-4f1e-811c-b5c0715c49f8 · outbound

This paper cites Cmaj182(2), 143–151 (2010).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Cmaj182(2), 143–151 (2010)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.803843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4292ddd8-e6a5-4719-b418-9accae37031a · outbound

This paper cites IEEE journal of biomedical and health informatics22(5), 1512–1520 (2017).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE journal of biomedical and health informatics22(5), 1512–1520 (2017)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.659313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 757f6f65-98a2-4b30-af52-34b9e691cc6a · outbound

This paper cites Journal of clinical medicine 12(9), 3298 (2023).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Journal of clinical medicine 12(9), 3298 (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.519201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da22600a-fc82-42e2-a1b6-54017bb48f5c · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2024).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.371060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17310f1f-d7b9-49d7-bf66-aa234036055d · outbound

This paper cites Computers in Biology and Medicine165, 107,399 (2023).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Computers in Biology and Medicine165, 107,399 (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.219886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4a831a3-d419-49a1-bd87-321dd64e9667 · outbound

This paper cites Neural Computing and Applications pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Neural Computing and Applications pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:03.082752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 649e7ba8-2746-4e98-90f1-dd54a8bbd8a4 · outbound

This paper cites Computers in Biology and Medicine169, 107,898 (2024).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Computers in Biology and Medicine169, 107,898 (2024)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.911496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f80f277-ed47-4010-ad8c-3f14787cd9c2 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18, pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18, pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.738779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d054568b-c913-4bcb-9beb-15bf31031bba · outbound

This paper cites IEEE transac- tions on medical imaging39(6), 1856–1867 (2019).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE transac- tions on medical imaging39(6), 1856–1867 (2019)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.583238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be4931d4-2d16-4445-852c-dd22819c42fb · outbound

This paper cites In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.442802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32c64e1e-ccbf-4d0d-8333-9dc20b71fb4b · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Attention U-Net: Learning Where to Look for the Pancreas

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:57.779745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb57ff36-5b55-45e9-9dfd-fda38aa72aa1 · outbound

This paper cites Health Information Science and Systems11(1), 13 (2023).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Health Information Science and Systems11(1), 13 (2023)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.290555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4d29597-033d-48ce-aae8-192d809c8297 · outbound

This paper cites In: European conference on computer vision, pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation In: European conference on computer vision, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.104858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fee6770b-fdf1-47b4-940b-6619cd7ae436 · outbound

This paper cites Computers in Biology and Medicine159, 106,960 (2023).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Computers in Biology and Medicine159, 106,960 (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.967130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23259984-0404-4a4b-9cb1-7c3f11645d87 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computational Intelligence8(1), 55–68 (2023).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE Transactions on Emerging Topics in Computational Intelligence8(1), 55–68 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.825644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06588e03-dc35-45e3-9948-6fb130c8dd33 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:58.116484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0802dd-1867-4993-ba6f-ce370ca10390 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:58.200596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a56870-d3fe-447e-9f66-ce23e63af52c · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.674333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90624ba9-782e-4308-a5c2-ffc821c404fc · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:58.338018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 837d501b-a47b-4174-a288-b8a9aebfce29 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention, pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation In: International Conference on Medical Image Computing and Computer- Assisted Intervention, pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.533323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbee407e-3839-4686-bdad-cdf8ecc802a2 · outbound

This paper cites Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:58.507590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8fb1d5-b13e-44db-88e0-9ee06d65037a · outbound

This paper cites Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:58.612208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8651e260-3c52-4eb9-bf40-9730c27d245e · outbound

This paper cites arXiv e-prints pp.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation arXiv e-prints pp

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.412049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8dbd5ea8-3bda-4b21-9458-f837cbaf3bc7 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 26(11), 5540–5550 (2022).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics 26(11), 5540–5550 (2022)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.286702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65e69954-b991-491f-a91b-10fcef08c7f8 · outbound

This paper cites BMC Medical Informatics and Decision Making24(1), 128 (2024).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation BMC Medical Informatics and Decision Making24(1), 128 (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.122971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a0b8d6c-2a82-4c4c-b15c-b935fcd75ee7 · outbound

This paper cites IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.983763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ef89423-538a-4ec2-aabd-bf28dce09b66 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics28(1), 285–296 (2023) 14 CaiXu Xu et al.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics28(1), 285–296 (2023) 14 CaiXu Xu et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.851328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ce881ca-6043-43fb-8ddd-3b37392a7bb8 · outbound

This paper cites IEEE transactions on cybernetics47(5), 1336–1349 (2017).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE transactions on cybernetics47(5), 1336–1349 (2017)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.695816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e4c7894-1c0c-4f94-b8f4-12d52e55e222 · outbound

This paper cites Physica Medica88, 127–137 (2021).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Physica Medica88, 127–137 (2021)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.508074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41587158-9bfc-4c58-b80d-c5f7cf7330d0 · outbound

This paper cites Multimedia Tools and Applications83(9), 27,283–27,304 (2024).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation Multimedia Tools and Applications83(9), 27,283–27,304 (2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.355681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ea86b4f-6732-45bf-89c8-aa0db1bed26a · outbound

This paper cites IEEE Open Journal of Engineering in Medicine and Biology (2024).

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation IEEE Open Journal of Engineering in Medicine and Biology (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.201285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2521db51-769b-484c-85f8-9d13d6bda5b6 · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation MedMamba: Vision Mamba for Medical Image Classification

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:59.835663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a0ca4c-e54a-4752-9de6-89cfd7737495 · outbound

This paper cites D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.

MS-UMamba: An Improved Vision Mamba Unet for Fetal Abdominal Medical Image Segmentation D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:59.938128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.