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Paper Citation Record · LEDGER

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.06210.

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

pith.paper-citation-record.v1
2505.06210 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:49:34.389696Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ab9d9b4-61ea-4ffe-b006-c56a5ec3e942 · outbound

This paper cites Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries,

Reference 1

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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.

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Observation ab95db6c-86f7-4d45-b5df-1080a59b4b70 · outbound

This paper cites Current and future directions in network biology,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Current and future directions in network biology,

Reference 2

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raw_fallback, observed 2026-08-15T22:49:34.809827Z

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.

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Observation 0906a9ad-0df0-4085-a3d0-44bc7a30edb9 · outbound

This paper cites Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8

Reference 3

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local_arxiv, observed 2026-08-15T22:49:34.524938Z

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.

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Observation 661a1787-e2fd-41fe-9407-c112c998bb56 · outbound

This paper cites Boosting medical image classification with segmentation foundation model,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Boosting medical image classification with segmentation foundation model,

Reference 4

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raw_fallback, observed 2026-08-15T22:49:34.794286Z

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.

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Observation e5ba2790-328d-445f-bf7c-31e38cb64da9 · outbound

This paper cites PraNet: Parallel reverse attention network for polyp segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation PraNet: Parallel reverse attention network for polyp segmentation,

Reference 5

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raw_fallback, observed 2026-08-15T22:49:34.778723Z

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.

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Observation 57d2a447-2b8d-41d4-911a-f5c9c8a918ba · outbound

This paper cites TestFit: A plug-and-play one-pass test time method for medical image segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation TestFit: A plug-and-play one-pass test time method for medical image segmentation,

Reference 6

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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.

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Observation 517c3358-1f4b-4c7c-8db0-c4ac107add52 · outbound

This paper cites Towards a computed-aided diagnosis system in colonoscopy: Automatic polyp segmentation using convolution neural networks,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Towards a computed-aided diagnosis system in colonoscopy: Automatic polyp segmentation using convolution neural networks,

Reference 7

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raw_fallback, observed 2026-08-15T22:49:34.745893Z

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.

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Observation a59c2e41-2c5d-4c6d-a73a-c91816127b47 · outbound

This paper cites SwIPE: Efficient and robust medical image segmentation with implicit patch embeddings,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation SwIPE: Efficient and robust medical image segmentation with implicit patch embeddings,

Reference 8

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raw_fallback, observed 2026-08-15T22:49:34.731058Z

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.

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Observation e517b180-040a-47a5-8011-9e9c8e63a191 · outbound

This paper cites SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 589764c4-f440-4c01-84c7-12f3fedffbf0 · outbound

This paper cites VM-UNetV2: Rethinking vision Mamba U-Net for medical image segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation VM-UNetV2: Rethinking vision Mamba U-Net for medical image segmentation,

Reference 10

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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.

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Observation f3b4306d-8f4d-4d34-907f-3fb4ac858dd5 · outbound

This paper cites kCBAC- Net: Deeply supervised complete bipartite networks with asymmetric convolutions for medical image segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation kCBAC- Net: Deeply supervised complete bipartite networks with asymmetric convolutions for medical image segmentation,

Reference 11

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raw_fallback, observed 2026-08-15T22:49:34.700767Z

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.

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Observation 83d531cd-7014-49af-91fe-da4e5745e02f · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation U-Net: Convolutional net- works for biomedical image segmentation,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e993c5ef-8a02-4187-8720-e05b958437d0 · outbound

This paper cites Shallow attention network for polyp segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Shallow attention network for polyp segmentation,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation abf03004-a994-422a-ada6-2223603e1c93 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e545ec1f-03e1-4769-9705-270f73c4cfe0 · outbound

This paper cites ConvFormer: Combining CNN and Transformer for medical image segmentation,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation ConvFormer: Combining CNN and Transformer for medical image segmentation,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.666802Z

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=2026-08-15T22:49:34.329743Z digest=sha256:01c47bb72b64a24f62c14b752ecd457abfe57e92baf0565cbb9bbfd91d1a2f24

Observation 1b9f1501-182d-4bc6-82c1-3f964540b4f1 · outbound

This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 16

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Source-reported events for the cited work

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Observation 17562d94-daeb-4b15-a6bc-65b9428dff49 · outbound

This paper cites U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33c4c14f-9516-49e3-9a31-b93cfc890a3a · outbound

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

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 303b31d2-a710-410c-bfef-f937a2b5b15a · outbound

This paper cites VMamba: Visual state space model,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation VMamba: Visual state space model,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.651544Z

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.

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Observation 744ee1fd-4954-4877-bcf6-ce627c4a0e99 · outbound

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

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 20

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Source-reported events for the cited work

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Observation 8d8082bb-2308-4e29-b370-097dab0530b2 · outbound

This paper cites Edelsbrunner and J.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Edelsbrunner and J

Reference 21

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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.

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Observation 6ba6a49b-fe20-4fc7-892f-f9f97fc094b2 · outbound

This paper cites an unresolved cited work.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Unresolved cited work

Reference 22

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unresolved
raw_fallback, observed 2026-08-15T22:49:34.619650Z

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.

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Observation 8e95aff8-be03-45bd-aa41-a4da29bd0d53 · outbound

This paper cites CBAM: Convolutional block attention module,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation CBAM: Convolutional block attention module,

Reference 23

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no resolver link, observed 2026-08-15T22:49:34.366619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:49:34.366619Z digest=sha256:ed38a8ffec741a5d2fb99ff675cbbcba30e9836c877def2a83ae5721b282aa60

Observation 1729833a-f803-418a-ab4c-d093a9a5e1e4 · outbound

This paper cites Kvasir-SEG: A segmented polyp dataset,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Kvasir-SEG: A segmented polyp dataset,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.595671Z

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.

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Observation 1bfce19f-24d0-4196-9569-5b52567e75c4 · outbound

This paper cites WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.580820Z

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.

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Observation cf7f7cf3-0f00-4fa5-86a3-9d3f0c689bf4 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Automated polyp detection in colonoscopy videos using shape and context information,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.565472Z

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=2026-08-15T22:49:34.381155Z digest=sha256:a056b142127a21b78cd3587d665e6b6caea0472eac6537d32079a212488d1ca3

Observation 8e125ad7-bdd9-4365-88ec-535f21ebae7c · outbound

This paper cites Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:49:34.549650Z

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=2026-08-15T22:49:34.385590Z digest=sha256:b287c6b1f538162fca56c2a08602c6cfcff9e09f21635d5704312d758887cb41

Observation e9824dba-ef8a-4a9f-b60a-4a52878d56b0 · outbound

This paper cites A benchmark for endoluminal scene segmentation of colonoscopy images,.

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation A benchmark for endoluminal scene segmentation of colonoscopy images,

Reference 28

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no resolver link, observed 2026-08-15T22:49:34.389696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.