Paper Citation Record · LEDGER

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2504.13597.

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

pith.paper-citation-record.v1
2504.13597 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:00.811525Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy25
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0871b5b-31fa-4f4f-a4f0-158fb39a18a2 · outbound

This paper cites Colorectal cancer statistics, 2023,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Colorectal cancer statistics, 2023,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.235665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c7481d4-a1d8-4a1d-8955-e871eb0f05d4 · outbound

This paper cites Cancer statistics, 2024,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Cancer statistics, 2024,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.225034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44ab17c2-5518-4050-9999-26dfe93d1552 · outbound

This paper cites Prospective study of the frequency and size distribution of polyps missed by colonoscopy,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Prospective study of the frequency and size distribution of polyps missed by colonoscopy,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.214664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33cb2ad1-5112-4ff2-b8f5-35d8d67c599f · outbound

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

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention U-Net: Convolutional networks for biomedical image segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.202972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eba4aba7-f2c6-43bb-9cb9-4fdb09d2686b · outbound

This paper cites Road extraction by deep residual u-net,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Road extraction by deep residual u-net,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.191720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 589f85b5-072c-4183-a234-37c55602d259 · outbound

This paper cites ResUNet++: An Advanced Architecture for Medical Image Segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention ResUNet++: An Advanced Architecture for Medical Image Segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.180024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10afdfe8-3be3-4ada-b845-b48c67f36507 · outbound

This paper cites Doubleu-net: A deep convolutional neural network for medical image segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Doubleu-net: A deep convolutional neural network for medical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.168873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b6b97b4-ddb0-416a-9ab6-73dd39f875a3 · outbound

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

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.715672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6860abb9-0879-43ca-a8cd-87a2efafcc58 · outbound

This paper cites TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.719198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb19ded3-33e0-4d7d-9221-8e61e6c19955 · outbound

This paper cites Tganet: Text-guided attention for improved polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Tganet: Text-guided attention for improved polyp segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.157841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c434a0a-24be-4dcb-9b16-5c04fed2c853 · outbound

This paper cites CCBANet: cascading context and balancing attention for polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention CCBANet: cascading context and balancing attention for polyp segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.123661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7400a246-a5f2-4684-a725-1b649d7c9b4d · outbound

This paper cites Uacanet: Uncertainty augmented context attention for polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Uacanet: Uncertainty augmented context attention for polyp segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.112096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 385dfe1c-4784-4bf3-b3bf-948927535a93 · outbound

This paper cites Colonformer: An efficient transformer based method for colon polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Colonformer: An efficient transformer based method for colon polyp segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.100602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ae8ac76-0cab-453d-a628-4200e82c1ecb · outbound

This paper cites RSAFormer: A method of polyp segmentation with region self- attention transformer,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention RSAFormer: A method of polyp segmentation with region self- attention transformer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.089382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b6a4cea-5d62-42bf-875a-c7d045f1d65d · outbound

This paper cites Msrf-net: a multi- scale residual fusion network for biomedical image segmenta- tion,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Msrf-net: a multi- scale residual fusion network for biomedical image segmenta- tion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.077164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63989d29-4bfd-4c1b-8f64-cebdc1f7a6e6 · outbound

This paper cites Gmsrf- net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Gmsrf- net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.065216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92a68699-5e3d-4e98-8fa3-f37866c0b49b · outbound

This paper cites Automatic polyp segmentation with multiple kernel dilated convolution network,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Automatic polyp segmentation with multiple kernel dilated convolution network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.053010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b4d8900-abec-4cd9-a2cb-7b570e3d0079 · outbound

This paper cites Multi- level feature fusion network combining attention mechanisms for polyp segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Multi- level feature fusion network combining attention mechanisms for polyp segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.041121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86ed1138-50dd-4de5-ae9a-13a6404c6162 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.029357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdc636ff-9cac-4516-9965-6fa000a722ed · outbound

This paper cites Pvtv2: Improved baselines with pyramid vision transformer,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Pvtv2: Improved baselines with pyramid vision transformer,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.760028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640da156-a2d0-4192-948a-a2cdf7a39412 · outbound

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

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.763764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78aface-278f-4d3e-8b07-91bf3e269153 · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Pvt v2: Improved baselines with pyramid vision transformer,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:01.009552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d15ea120-1325-4c0e-a655-6b2896580557 · outbound

This paper cites Cbam: Convolutional block attention module,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Cbam: Convolutional block attention module,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.997424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7b6e07c0-f0a9-4633-bcb7-af8af51693b9 · outbound

This paper cites Squeeze-and-excitation networks,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Squeeze-and-excitation networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.775850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4b841f-9c65-4d91-9801-e671825d9e70 · outbound

This paper cites Eca- net: Efficient channel attention for deep convolutional neural networks,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Eca- net: Efficient channel attention for deep convolutional neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.978742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77543f01-bb86-403e-aabb-25f0c8747aba · outbound

This paper cites Transnext: Robust foveal visual perception for vision transformers,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Transnext: Robust foveal visual perception for vision transformers,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.966973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7828251b-a137-47c7-a9cf-35608c50998f · outbound

This paper cites PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.786114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5a1250-28f1-4878-9d90-b00a8eeb893e · outbound

This paper cites Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.955988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb58f4d9-cc01-47c0-b6e1-50c25c628d01 · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmenta- tion,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Pranet: Parallel reverse attention network for polyp segmenta- tion,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.944288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0265409-b126-4743-bf6e-b105b8da16cc · outbound

This paper cites Caranet: context axial reverse attention network for segmentation of small medical ob- jects,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Caranet: context axial reverse attention network for segmentation of small medical ob- jects,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.932620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b6bf2170-4da4-40da-8022-8084655b4555 · outbound

This paper cites Medical image segmentation via cascaded attention decoding,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Medical image segmentation via cascaded attention decoding,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.800286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e239b9-1625-4615-aee2-e447fb14ada5 · outbound

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

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:00.803946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334093d1-0e35-4059-b618-40a12275007a · outbound

This paper cites A Reverse Mamba Attention Network for Pathological Liver Segmentation.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention A Reverse Mamba Attention Network for Pathological Liver Segmentation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:07:00.848122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f2c8e170-89de-4e55-8090-d904cab587c7 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context infor- mation,.

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention Automated polyp detection in colonoscopy videos using shape and context infor- mation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:00.913913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.