Paper Citation Record · LEDGER

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.16304.

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

pith.paper-citation-record.v1
2505.16304 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:55.038108Z

measured 41 of 41 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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cfba735-373b-464e-9427-f6c6c0ae2fbb · outbound

This paper cites Integration of machine learning in imaging analysis for clinical diagnosis of cardiovascular diseases,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Integration of machine learning in imaging analysis for clinical diagnosis of cardiovascular diseases,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.747747Z

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Observation 8819676f-ba77-43eb-906a-ec74173e0ae4 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception U-net: Convolutional networks for biomedical image segmentation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:52.456846Z

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Observation d607e545-020b-4983-8d1c-3fea45c4db26 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.670864Z

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

Observation 28724406-dd77-4e53-b570-5b186dbb4ee0 · outbound

This paper cites Densely connected convolutional networks,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Densely connected convolutional networks,

Reference 4

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Observation 71fc9e7e-ba6c-4fbc-8b57-885ead20b20e · outbound

This paper cites Deep residual learning for image recognition,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Deep residual learning for image recognition,

Reference 5

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Source-reported events for the cited work

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Observation 7b6709a5-2ac5-447e-878a-7ff3f5cd749c · outbound

This paper cites Cbam: Convolutional block attention module,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Cbam: Convolutional block attention module,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:52.665112Z

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Observation 7ffedbcf-72df-42c6-a94b-4d943cfb7e06 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:52.725277Z

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Observation e65d7a59-bdeb-4bc0-98a0-37f0bee5e010 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Multi-Scale Context Aggregation by Dilated Convolutions

Reference 8

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Observation 9f4d2251-bb3f-451b-b265-3c5a04ec6d00 · outbound

This paper cites Acnn: a full resolution dcnn for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Acnn: a full resolution dcnn for medical image segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.585557Z

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Observation 13636a52-321d-47c0-a3c7-cda7c331b1fb · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 10

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Source-reported events for the cited work

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Observation 6a6290c1-ed59-4a55-ad93-f6f1be3d9532 · outbound

This paper cites Transfuse: Fusing transformers and cnns for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Transfuse: Fusing transformers and cnns for medical image segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.485536Z

Source-reported events for the cited work

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Observation 26a1153f-1718-4271-8fb4-a48d0fedf752 · outbound

This paper cites Medical transformer: Gated axial-attention for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Medical transformer: Gated axial-attention for medical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.389118Z

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Observation e54400ec-efe2-4a41-ae45-d24b3b57213d · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 13

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Observation dd081ae5-3fab-4d4b-a374-874fff4ea1a2 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:53.090432Z

Source-reported events for the cited work

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Observation 17fe7109-c0c3-4234-b427-6d213e6e251d · outbound

This paper cites Segment anything,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Segment anything,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:53.141430Z

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Observation b1747c15-4ae1-4e12-a9a6-601ecf8c0f7c · outbound

This paper cites Foundation models for generalist medical artificial intelligence,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Foundation models for generalist medical artificial intelligence,

Reference 16

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Observation 09e73d4a-13f9-4050-ade4-1204e605be86 · outbound

This paper cites Foundation model for advancing healthcare: challenges, opportunities and future directions,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Foundation model for advancing healthcare: challenges, opportunities and future directions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.291594Z

Source-reported events for the cited work

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Observation f71d233c-616b-4fe8-b690-d24340b749de · outbound

This paper cites A comprehensive survey of foundation models in medicine,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception A comprehensive survey of foundation models in medicine,

Reference 18

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Source-reported events for the cited work

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Observation cb37805e-ce1f-4f28-9695-2768551bddaa · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception SAM 2: Segment Anything in Images and Videos

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:53.339830Z

Source-reported events for the cited work

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Observation 82472a3a-850c-4244-8b95-555cf1e02a95 · outbound

This paper cites Segment anything model for medical images?.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Segment anything model for medical images?

Reference 20

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Source-reported events for the cited work

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Observation 2633800c-aac7-4e02-9f10-9007f8aaedb0 · outbound

This paper cites Accuracy of segment- anything model (sam) in medical image segmentation tasks,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Accuracy of segment- anything model (sam) in medical image segmentation tasks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:56.107767Z

Source-reported events for the cited work

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Observation d5143a70-bf34-4722-8f55-b984fd1473bf · outbound

This paper cites SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:53.536829Z

Source-reported events for the cited work

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Observation ee5f0e92-11c9-495a-8048-60bec9f2174e · outbound

This paper cites MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation

Reference 23

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Source-reported events for the cited work

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Observation 36612801-f29b-47ad-af51-c28c08072371 · outbound

This paper cites Vmamba: Visual state space model,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Vmamba: Visual state space model,

Reference 24

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Observation 0b7ad22e-47d0-4ac3-8e1a-bab5dd42d1cd · outbound

This paper cites Missformer: An effective transformer for 2d medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Missformer: An effective transformer for 2d medical image segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.993297Z

Source-reported events for the cited work

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Observation 7bd781b0-2d01-4c4f-af6d-510566636ece · outbound

This paper cites Segmamba: Long- range sequential modeling mamba for 3d medical image segmenta- tion,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Segmamba: Long- range sequential modeling mamba for 3d medical image segmenta- tion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.901270Z

Source-reported events for the cited work

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Observation 5753fb18-c5e6-4de0-b62c-100e24960809 · outbound

This paper cites Mambamil: Enhancing long se- quence modeling with sequence reordering in computational pathol- ogy,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Mambamil: Enhancing long se- quence modeling with sequence reordering in computational pathol- ogy,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.798649Z

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 4083cf69-fcd9-46be-ab95-daf058a8650f · outbound

This paper cites Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.692243Z

Source-reported events for the cited work

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Observation fecc2f0b-a5d8-4b43-b55f-5f64ab237469 · outbound

This paper cites Medical sam adapter: Adapting segment anything model for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Medical sam adapter: Adapting segment anything model for medical image segmentation,

Reference 29

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Observation 21728d87-aeb5-4bda-b060-c504a6aa9ea7 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 30

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Observation e1ba85c9-0fc6-4708-beb0-c28df958a701 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 31

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Observation aa7f40f0-0157-44e9-93bf-afa1fef06476 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 32

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Observation e6d24b56-ceba-4b7d-b7ce-9d7bd46dc0de · outbound

This paper cites Sam-mamba: Mamba guided sam architecture for generalized zero-shot polyp segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Sam-mamba: Mamba guided sam architecture for generalized zero-shot polyp segmentation,

Reference 33

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Observation 00e9d8e3-6158-4b63-bfd5-0378d943e5e2 · outbound

This paper cites Lfsamba: Marry sam with mamba for light field salient object detection,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Lfsamba: Marry sam with mamba for light field salient object detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.622291Z

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Observation 2ccc630c-bb3c-4b57-8764-b17375d0a90d · outbound

This paper cites Masked autoencoders are scalable vision learners,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Masked autoencoders are scalable vision learners,

Reference 35

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Observation a34f4903-56dc-4fec-b27b-34234207cb52 · outbound

This paper cites Hiera: A hierarchical vision transformer without the bells-and-whistles,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Hiera: A hierarchical vision transformer without the bells-and-whistles,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.507156Z

Source-reported events for the cited work

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Observation a6f5c955-7f0a-4694-9f1e-4472331735d6 · outbound

This paper cites Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:54.700059Z

Source-reported events for the cited work

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Observation 9f58393e-7348-4b71-af45-bcbb08a0a071 · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Attention U-Net: Learning Where to Look for the Pancreas

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:54.779641Z

Source-reported events for the cited work

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Observation 63f5a977-a439-48ee-9672-ef1c864748a8 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Swin-unet: Unet-like pure transformer for medical image segmentation,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:54.889573Z

Source-reported events for the cited work

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Observation 46cf591b-8475-4788-b29d-e9038e28d07b · outbound

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

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Unetr: Transformers for 3d medical image segmentation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:54.970815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f777e6-cb7b-42ca-9630-3280bde16230 · outbound

This paper cites Levit-unet: Make faster encoders with transformer for medical image segmentation,.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception Levit-unet: Make faster encoders with transformer for medical image segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:55.328430Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.