Paper Citation Record · LEDGER

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.00418.

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

pith.paper-citation-record.v1
2502.00418 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:11:00.712923Z

measured 43 of 43 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

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Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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verified fuzzy6
unresolved19
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External citation measurements

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Outbound references

Observation 768b7632-4080-497a-8c2f-7ca37982d793 · outbound

This paper cites Segment anything for microscopy.Nature Methods, 22(3):579–591, February 2025a.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Segment anything for microscopy.Nature Methods, 22(3):579–591, February 2025a

Reference 1

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Observation a73d7343-3a00-4422-b530-d520df2116e2 · outbound

This paper cites doi: 10.1609/ aaai.v38i10.28978.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1609/ aaai.v38i10.28978

Reference 3

Resolution: verified exact; doi, observed 2026-08-09T19:11:01.307503Z

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Observation cfabdbdb-dd43-4058-8592-82f8a6ca65f1 · outbound

This paper cites ISBN 9781713829546.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging ISBN 9781713829546

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:11:01.770157Z

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Observation e00f689b-18a2-4947-8024-6dc8d6576532 · outbound

This paper cites Yanlin Wu, Zhihong Wang, Xiongfeng Yang, Hong Kang, Along He, and Tao Li.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Yanlin Wu, Zhihong Wang, Xiongfeng Yang, Hong Kang, Along He, and Tao Li

Reference 6

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Observation 116d10a7-9280-4182-9a71-29fae177846a · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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Observation 2d709905-809f-41e3-aa5e-35603984644e · outbound

This paper cites URLhttp://doi.org/10.1038/s41597-024-03634-0.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging URLhttp://doi.org/10.1038/s41597-024-03634-0

Reference 10

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Observation cee2e5d1-2406-4df0-9e36-ea58b136b26b · outbound

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Unresolved cited work

Reference 11

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Observation 498e8611-cee1-464e-8c76-366747fa31f7 · outbound

This paper cites doi: 10.1038/s41597-024-03844-6.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s41597-024-03844-6

Reference 14

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Observation 9dd7a47d-575d-45d2-a3b5-8a2158e74647 · outbound

This paper cites doi: 10.1038/s41592-020-01008-z.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s41592-020-01008-z

Reference 15

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Observation d44c0f94-e716-4b22-8e21-f1d4c46778d4 · outbound

This paper cites 11.17.567630.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging 11.17.567630

Reference 16

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Observation b531ae60-e0c2-44a6-808c-9ff8ac0b6bf4 · outbound

This paper cites doi: 10.1038/ s41597-024-03814-y.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/ s41597-024-03814-y

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:11:00.581650Z

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Observation 9d04f935-538a-4a3b-b81a-7ce1492e083b · outbound

This paper cites doi: 10.1609/aaai.v37i1.25187.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1609/aaai.v37i1.25187

Reference 18

Resolution: verified exact; doi, observed 2026-08-09T19:11:01.164922Z

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Observation 049f830c-99a1-4d05-9336-56cd572e916f · outbound

This paper cites doi: 10.1038/s41597-022-01388-1.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s41597-022-01388-1

Reference 19

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Observation 47dea3cc-ecf5-4825-96c8-3720c89b9087 · outbound

This paper cites doi: 10.1038/s42003-024-05966-4.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s42003-024-05966-4

Reference 20

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Observation fab04b2f-8c52-414c-8346-466764269ccc · outbound

This paper cites Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang

Reference 21

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Observation e5729a56-d343-4f8b-9789-b1018a0d183d · outbound

This paper cites doi: 10.1038/s41592-019-0658-6.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s41592-019-0658-6

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T19:11:00.606934Z

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Observation d329c9fc-5b67-4ace-840f-972cdfbba8d1 · outbound

This paper cites doi: 10.1038/ s41592-022-01663-4.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/ s41592-022-01663-4

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T19:11:00.611658Z

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Observation 3d272d62-6148-4897-b505-3abb315d05fd · outbound

This paper cites George Pu, Anirudh Jain, Jihan Yin, and Russell Kaplan.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging George Pu, Anirudh Jain, Jihan Yin, and Russell Kaplan

Reference 24

Resolution: verified exact; doi, observed 2026-08-09T19:11:01.098189Z

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Observation df211514-12bc-4197-b05e-d1c660cdaad2 · outbound

This paper cites doi: 10.1007/978-3-031-20053-3.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1007/978-3-031-20053-3

Reference 27

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Observation 44220dfd-1b3f-4a3e-8ab4-3357b90a52f2 · outbound

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Unresolved cited work

Reference 29

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Observation bdd9bc6c-806b-434e-b06b-c555059a1987 · outbound

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Unresolved cited work

Reference 30

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Observation ad27b70e-0294-471e-bfb2-b79a30cbf6b6 · outbound

This paper cites doi: 10.1016/j.cell.2021.07.017.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1016/j.cell.2021.07.017

Reference 31

Resolution: verified exact; doi, observed 2026-08-09T19:11:01.012370Z

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Observation abda53de-5d7c-4b4a-a501-2f3f2f702448 · outbound

This paper cites doi: 10.1242/dev.202800.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1242/dev.202800

Reference 32

Resolution: verified exact; doi, observed 2026-08-09T19:11:00.994601Z

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Observation e7c08a47-f255-44f5-abed-d35f7d39f679 · outbound

This paper cites Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, and Shanghang Zhang.I- MedSAM: Implicit Medical Image Segmentation with Segment Anything, page 90–107.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, and Shanghang Zhang.I- MedSAM: Implicit Medical Image Segmentation with Segment Anything, page 90–107

Reference 33

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Observation 7a2a05f3-5041-49dc-825b-354eeebf4fa0 · outbound

This paper cites 1016/j.knosys.2024.112909.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging 1016/j.knosys.2024.112909

Reference 34

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This paper cites 15 Teuber Archit Pape Lingling Xu, Haoran Xie, Si-Zhao Joe Qin, Xiaohui Tao, and Fu Lee Wang.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging 15 Teuber Archit Pape Lingling Xu, Haoran Xie, Si-Zhao Joe Qin, Xiaohui Tao, and Fu Lee Wang

Reference 35

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Observation b9aa4819-6fd6-4ff6-ac46-ef946d75e354 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 36

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Observation 8670e94f-a0f4-45d8-9ec4-f6738e525aa0 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Customized Segment Anything Model for Medical Image Segmentation

Reference 37

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Observation e1253c2d-3f21-4e60-a0ee-8c767bddcbd3 · outbound

This paper cites Peilin Zhou, Bo Du, and Yongchao Xu.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Peilin Zhou, Bo Du, and Yongchao Xu

Reference 38

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Observation d6ddd01d-ec52-438b-8cb3-e681254d2eeb · outbound

This paper cites CellSeg1: Robust Cell Segmentation with One Training Image.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging CellSeg1: Robust Cell Segmentation with One Training Image

Reference 39

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging URLhttps: //openreview.net/forum?id=UHBrWeFWlL

Reference 40

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Observation 5f853fe0-09c1-4a43-9e83-9d8b1511189b · outbound

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging LoRA Classic

Reference 41

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Observation 9ff472e7-b6c7-4125-a866-04b901a58da4 · outbound

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Unresolved cited work

Reference 42

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Observation 5452ebc0-14bc-456b-8c73-8ee1bfe76272 · outbound

This paper cites Note that we perform all experiments for segmentation quality with the smallest model, ViT-B, because it was shown e.g.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Note that we perform all experiments for segmentation quality with the smallest model, ViT-B, because it was shown e.g

Reference 43

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Observation 9ba505d8-fbf0-4abe-8f35-00eea3813be9 · outbound

This paper cites doi: 10.2214/ajr.174.1.1740071.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.2214/ajr.174.1.1740071

Reference 2000

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Observation ff34cf95-29a5-485c-a772-f9c962a1f80f · outbound

This paper cites doi: 10.1007/978-3-030-00934-2.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1007/978-3-030-00934-2

Reference 2018

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1038/s41592-019-0612-7

Reference 2019

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This paper cites 10 PEFT-SAM Han Cai, Chuang Gan, Ligeng Zhu Massachusetts Institute of Technology, and Song Han Massachusetts Institute of Technology.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging 10 PEFT-SAM Han Cai, Chuang Gan, Ligeng Zhu Massachusetts Institute of Technology, and Song Han Massachusetts Institute of Technology

Reference 2020

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Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging URLhttps://doi.org/10.1038/s41592-021-01249-6

Reference 2021

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Observation 36d1b30a-1cbb-4b09-bef9-5192db23ee7a · outbound

This paper cites Ryan Conrad and Kedar Narayan.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Ryan Conrad and Kedar Narayan

Reference 2022

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This paper cites doi: 10.1016/j.cels.2022.12.006.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.1016/j.cels.2022.12.006

Reference 2023

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This paper cites Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications

Reference 2024

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This paper cites doi: 10.59275/j.melba.2025-86a6.

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging doi: 10.59275/j.melba.2025-86a6

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.