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Paper Citation Record · LEDGER

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.08482.

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

pith.paper-citation-record.v1
2412.08482 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:48:56.187028Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 630d3b14-3cfe-49f2-af1d-abe41cee664c · outbound

This paper cites Medical image segmentation review: The suc- cess of u-net.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Medical image segmentation review: The suc- cess of u-net

Reference 1

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Observation 602d444e-681a-4578-8561-d67077a685a9 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 2

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Observation c871c717-f92d-4daf-bd2e-b3cdf8d25168 · outbound

This paper cites Meganet: Multi-scale edge- guided attention network for weak boundary polyp segmen- tation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Meganet: Multi-scale edge- guided attention network for weak boundary polyp segmen- tation

Reference 3

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Observation 69c71a0d-4045-47e8-9f74-1fa3d789ff4e · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

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Observation a8f54ef0-4689-4e0e-b900-57f82298da16 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Vision Transformer Adapter for Dense Predictions

Reference 5

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Observation 757be797-4a14-476e-b297-2243e229bba9 · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 6

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Observation 18601b77-4708-407b-9243-8b1e7f90ebc4 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 7

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Source-reported events for the cited work

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Observation 267b8b98-1492-4439-83ef-b991f31b9667 · outbound

This paper cites Structure-measure: A new way to evaluate foreground maps.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Structure-measure: A new way to evaluate foreground maps

Reference 8

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Observation 54004ba7-4b27-4978-bb77-858fb77ce3ba · outbound

This paper cites Enhanced-alignment Measure for Binary Foreground Map Evaluation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Enhanced-alignment Measure for Binary Foreground Map Evaluation

Reference 9

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Observation a670a62a-7a75-4478-86bc-5f867dbf773f · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 10

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Observation 44a3a202-ebd7-4942-8e6a-1e04de88da06 · outbound

This paper cites Selective feature aggregation network with area-boundary constraints for polyp segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Selective feature aggregation network with area-boundary constraints for polyp segmentation

Reference 11

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Observation 704269bd-b2eb-4446-ac1a-64a47e72e24f · outbound

This paper cites Utnet: a hybrid transformer architecture for medical image segmen- tation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Utnet: a hybrid transformer architecture for medical image segmen- tation

Reference 12

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Observation 139843d4-ff39-41b9-8d77-b2df0fd8550c · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Unetr: Transformers for 3d medical image segmentation

Reference 13

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Observation c5ba53d6-3d5d-45e6-a235-d90070edd230 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Kvasir-seg: A segmented polyp dataset

Reference 14

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Observation 97e14003-6071-4394-b715-f9ed80d71da9 · outbound

This paper cites Resunet++: An advanced architecture for medical image segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Resunet++: An advanced architecture for medical image segmentation

Reference 15

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Observation 483f3493-da80-49b6-a902-38f705e8da92 · outbound

This paper cites Segment Anything.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Segment Anything

Reference 16

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Observation e04a32d0-2fb6-4d41-b80d-b58b430d9efe · outbound

This paper cites Ds-transunet: Dual swin transformer u-net for medical image segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Ds-transunet: Dual swin transformer u-net for medical image segmentation

Reference 17

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Observation 26e8c01d-ebbc-4f41-b650-7375f51ed652 · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 18

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Observation de8e1118-a31f-4a4d-bedd-6991533963fe · outbound

This paper cites How to evaluate foreground maps? In Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition, pages 248–255, 2014.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation How to evaluate foreground maps? In Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition, pages 248–255, 2014

Reference 19

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Observation 0f761286-5d44-406c-8e89-1125f2b013b0 · outbound

This paper cites Pefnet: Positional embedding feature for polyp segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Pefnet: Positional embedding feature for polyp segmentation

Reference 20

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Observation 5ae31938-f1da-4024-b15a-b00cdb4fe300 · outbound

This paper cites Medical im- age segmentation via cascaded attention decoding.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Medical im- age segmentation via cascaded attention decoding

Reference 21

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Observation 14fe13aa-2e9b-4fcb-9968-d9e71719baaf · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 22

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Observation 240f0c53-a233-49a5-a05a-3b1b67c29047 · outbound

This paper cites Medical image segmentation: A review of modern architec- tures.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Medical image segmentation: A review of modern architec- tures

Reference 23

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Observation 3ad563fd-12c9-4c54-bad1-3654b52ef4f4 · outbound

This paper cites Transformers in medical imaging: A survey.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Transformers in medical imaging: A survey

Reference 24

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Observation b395a4b1-e437-4c38-b906-7786dafb33c4 · outbound

This paper cites Toward embedded detection of polyps in wce images for early diagnosis of colorectal can- cer.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Toward embedded detection of polyps in wce images for early diagnosis of colorectal can- cer

Reference 25

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Observation 451e7322-a6e1-4489-985a-f4fba5282c02 · outbound

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Automated polyp detection in colonoscopy videos using shape and context information

Reference 26

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Observation e6cc3072-78bd-4881-ba75-f4beb9853bd9 · outbound

This paper cites M2unet: Metaformer multi-scale up- sampling network for polyp segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation M2unet: Metaformer multi-scale up- sampling network for polyp segmentation

Reference 27

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Observation 51a5706f-e29a-4725-ac46-4f1801949764 · outbound

This paper cites A benchmark for en- doluminal scene segmentation of colonoscopy images.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation A benchmark for en- doluminal scene segmentation of colonoscopy images

Reference 28

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Observation 990a2506-6a0f-4a4d-a951-00c85064eb0f · outbound

This paper cites Shallow attention network for polyp seg- mentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Shallow attention network for polyp seg- mentation

Reference 29

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Observation efffdaf1-a9b1-4343-9779-6fe6a100acc5 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 30

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Observation f413fcab-afb6-4636-b26d-2d94b2078635 · outbound

This paper cites Ctnet: Contrastive transformer network for polyp seg- mentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Ctnet: Contrastive transformer network for polyp seg- mentation

Reference 31

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Observation ab1d79b9-6a03-456a-bb63-10d494f3dc6e · outbound

This paper cites SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 32

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Observation cf78e96e-33d3-4ab9-aae1-8da221b69e94 · outbound

This paper cites M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation

Reference 33

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Observation 77b33306-1ad1-4920-a835-7625f4a37a57 · outbound

This paper cites Automatic polyp segmentation via multi-scale subtraction network.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Automatic polyp segmentation via multi-scale subtraction network

Reference 34

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raw_fallback, observed 2026-08-11T17:48:56.482130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:48:56.164371Z digest=sha256:28e760a0438071652a8e657af041aad9ac7f99cafb364c9f6c8bc6aae6a844dd

Observation 9c064b4e-049b-4613-b425-57f3a2166309 · outbound

This paper cites Can SAM Segment Polyps?.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Can SAM Segment Polyps?

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:56.169590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:56.169590Z digest=sha256:7d0de74d879933c1d879612ce75d6b6a99b6c83aa2056593038b7ccad77174ff

Observation a7bb45a0-aea9-4130-a4e3-62d7ca5a86f3 · outbound

This paper cites Cross-level feature aggre- gation network for polyp segmentation.Pattern Recognition, 140:109555, 2023.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Cross-level feature aggre- gation network for polyp segmentation.Pattern Recognition, 140:109555, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:56.465789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:48:56.175670Z digest=sha256:60b16416ad90c929491c00d1543dd07524d48f197b7eb46be398c73043cf4ac7

Observation a0c95552-7f4e-48bb-bd51-3b2ff7994421 · outbound

This paper cites Unet++: Redesigning skip connections to exploit multiscale features in image segmen- tation.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Unet++: Redesigning skip connections to exploit multiscale features in image segmen- tation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:56.447090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:48:56.180944Z digest=sha256:9c32818b0dfbbd5431017264aeb8f85b8ba835f587ead4165c8ab32d3123b9c0

Observation b7eb7ddd-c9c7-48ec-b8ce-d1ca67941deb · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:56.187028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:56.187028Z digest=sha256:be1cf5f6f2f00d6bb121a61a33e70386cb09fadd70fb9457c044f52ee32a7f20

Pith citing papers

No inbound Pith citation observations are available.