Paper Citation Record · LEDGER

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.01323.

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

pith.paper-citation-record.v1
2507.01323 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:36.230482Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy15
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4090351-1a52-4e6d-a68a-0b92cae46c22 · outbound

This paper cites Applied Sciences 9(24), 5507 (2019).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Applied Sciences 9(24), 5507 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.704734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6a599c4-8367-4655-b5d5-3a70b757412d · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:33.644191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17280f8-a8d8-4479-b3ff-a18c7c459a2f · outbound

This paper cites In: 2022 IEEE International Con- ference on Bioinformatics and Biomedicine (BIBM).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation In: 2022 IEEE International Con- ference on Bioinformatics and Biomedicine (BIBM)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.695206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5b6646a-80d0-4c24-93df-0088da3fe456 · outbound

This paper cites NeuroImage: Clinical30, 102573 (2021).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation NeuroImage: Clinical30, 102573 (2021)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.685052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2757325-d2a0-4faa-a227-eb367029dea4 · outbound

This paper cites biocybernetics and biomedical engineering 34(2), 117–124 (2014).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation biocybernetics and biomedical engineering 34(2), 117–124 (2014)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.674504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 070b4ee7-7c14-4248-9b0a-7e6d6574ec34 · outbound

This paper cites IEEE Transactions on Biomedical Engineering59(9), 2538–2548 (2012).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation IEEE Transactions on Biomedical Engineering59(9), 2538–2548 (2012)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.663182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12c11143-0f33-4a15-bf5b-91876c97fba6 · outbound

This paper cites Microvascular Research74(2), 72–84 (2007), therapeutic Applications of Angiogenesis and Anti-angiogenesis.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Microvascular Research74(2), 72–84 (2007), therapeutic Applications of Angiogenesis and Anti-angiogenesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.468676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6eb89958-40ca-4378-92c2-f139e0f953f4 · outbound

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

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:34.105441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6bc85e6-74b9-4631-bb50-c0597d1ca633 · outbound

This paper cites Progress in retinal and eye research91, 101095 (2022).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Progress in retinal and eye research91, 101095 (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.320069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27f70437-cd7d-4ef1-8d03-8d9394ee97aa · outbound

This paper cites Computers in Biology and Medicine 172, 108315 (2024).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Computers in Biology and Medicine 172, 108315 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.183182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b62d07e7-899c-4ec7-aaae-cc2ced5912a9 · outbound

This paper cites Medical image analysis93, 103092 (2024).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Medical image analysis93, 103092 (2024)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:34.433080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6d3c6c-d0d9-4df0-99a4-f2ab29fc6ae3 · outbound

This paper cites IEEE Transactions on Medical Imaging41(8), 1975–1989 (2022).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation IEEE Transactions on Medical Imaging41(8), 1975–1989 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:38.004560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28be9cd9-34dd-44d2-bfb0-05d5f03bc094 · outbound

This paper cites IEEE Transactions on Cyber- netics 53(9), 5826–5839 (2023).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation IEEE Transactions on Cyber- netics 53(9), 5826–5839 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:37.764255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8758fd41-1c5e-4327-9157-7eee684b7afb · outbound

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

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:34.884618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d1a4553-b24e-4bc3-bf01-d31ada96ffca · outbound

This paper cites Medical image analysis67, 101874 (2021) 10 R.Zhao et al.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Medical image analysis67, 101874 (2021) 10 R.Zhao et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:37.424743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a4e6f38-6f56-4739-9718-fdbee5c86f5c · outbound

This paper cites In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:35.173517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e30b45e-ee86-4d08-b883-a92bf481397f · 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.

SWinMamba: Serpentine Window State Space Model for Vascular 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

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:35.311236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa9b625-7ea4-4c1c-9f2b-36a32dc9f7fe · outbound

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

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:35.436576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62ac2cd-a807-4a82-9973-98f666f3f351 · outbound

This paper cites Journal of digital imaging35(2), 226–239 (2022).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation Journal of digital imaging35(2), 226–239 (2022)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:37.125912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09976e81-93ae-4bf2-898a-91cd0966304f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:35.745482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcf5630-82c5-46ef-a603-750729d318fa · outbound

This paper cites IEEE transactions on medical imaging8(1), 78–88 (1989).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation IEEE transactions on medical imaging8(1), 78–88 (1989)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:36.812407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e31717c5-7d44-4440-8c4f-f793babe3337 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:36.046455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c1a6ca-c402-46ab-9b69-ddf15012a88e · outbound

This paper cites IEEE Transactions on Medical Imaging42(12), 3614–3624 (2023).

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation IEEE Transactions on Medical Imaging42(12), 3614–3624 (2023)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:36.578861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88a15972-b313-4aaf-a122-93502297c690 · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning.

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation In: Proceedings of the International Conference on Machine Learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:36.423590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.