Paper Citation Record · LEDGER

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.17408.

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

pith.paper-citation-record.v1
2508.17408 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:09:32.568551Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aed11bba-9223-4c65-9967-66f351a96c8c · outbound

This paper cites Data in brief 28, 104863 (2020).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Data in brief 28, 104863 (2020)

Reference 1

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Observation 908d618c-f66f-4306-a434-7c84fe7fc360 · outbound

This paper cites SAM-Med2D.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation SAM-Med2D

Reference 2

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Observation 5cd8806d-b1d7-4315-8a46-c2ba85ac1f76 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

Reference 3

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Observation 0dff87f3-71df-42cd-b744-eb60158da319 · outbound

This paper cites Ecology 26, 297--302 (1945).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Ecology 26, 297--302 (1945)

Reference 4

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Observation c0529898-001f-4e84-b16d-0e5b2cc21513 · outbound

This paper cites In: Proceedings of Machine Learning Research (PMLR).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: Proceedings of Machine Learning Research (PMLR)

Reference 5

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Observation cba7743a-7458-4350-8041-2a408a502361 · outbound

This paper cites Artificial Intelligence Review 56(1), 1513--1589 (2023).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Artificial Intelligence Review 56(1), 1513--1589 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.874110Z

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Observation 9b6e8830-f0b0-4760-8094-323c25e96011 · outbound

This paper cites Computers in biology and medicine 155, 106389 (2023).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Computers in biology and medicine 155, 106389 (2023)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.862239Z

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Observation 7329b512-c7d7-47cf-91a4-111a53412ac1 · outbound

This paper cites an unresolved cited work.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Unresolved cited work

Reference 8

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Observation 28cb2178-9224-4fb5-95a3-598d7fef1ecb · outbound

This paper cites an unresolved cited work.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Unresolved cited work

Reference 9

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Observation d06a183e-04b4-43ec-8073-8ef51d47f48f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.826688Z

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Observation 5c87d7a6-3a4d-4af7-97ec-0ea30230b7b7 · outbound

This paper cites Foundation Models for Biomedical Image Segmentation: A Survey.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Foundation Models for Biomedical Image Segmentation: A Survey

Reference 11

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Observation 15f0033e-1bf4-4407-b0d8-bc0dfa6aedd8 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation KAN: Kolmogorov-Arnold Networks

Reference 12

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Observation 5ca495ca-5f7c-4f9f-8432-a5a0c2a83231 · outbound

This paper cites In: International Conference on Learning Representations (2019).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: International Conference on Learning Representations (2019)

Reference 13

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Observation 9987a7ef-cff4-429b-920d-d39f60b79ed2 · outbound

This paper cites Nature Communications 15(1), 654 (2024).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Nature Communications 15(1), 654 (2024)

Reference 14

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Observation f797cad6-9193-4d4a-9f38-330bb10bf3e2 · outbound

This paper cites Medical Image Analysis 89, 102918 (2023).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Medical Image Analysis 89, 102918 (2023)

Reference 15

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Observation d700ef5a-4848-41fe-8cc7-4d986f8d00a4 · outbound

This paper cites BioScience Trends 17(3), 230--233 (2023).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation BioScience Trends 17(3), 230--233 (2023)

Reference 16

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Observation a3dbccd0-dcfa-499b-99ea-1d1e6b862e7b · outbound

This paper cites In: Advances in neural information processing systems.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: Advances in neural information processing systems

Reference 17

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Observation e6841a2c-f4c8-48d7-9722-70fc68f7751e · outbound

This paper cites In: In 10th International symposium on medical information processing and analysis.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: In 10th International symposium on medical information processing and analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.763282Z

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Observation 5203276f-befa-40c3-8ada-db15ca74d5db · outbound

This paper cites Medical physics 44(11), 6105--6109 (2017).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Medical physics 44(11), 6105--6109 (2017)

Reference 19

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Observation 0ccd4d9a-1911-4935-96a2-9bec69dce197 · outbound

This paper cites BayesFormer: Transformer with Uncertainty Estimation.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation BayesFormer: Transformer with Uncertainty Estimation

Reference 20

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Observation abe257ca-e64f-4e7e-940d-cdf51e0236cc · outbound

This paper cites AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

Reference 21

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This paper cites A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

Reference 22

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Observation 52f117eb-5566-478f-86db-1977c03645bc · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.739580Z

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Observation 05270a16-cb5c-4f5b-8118-036de45fcd9f · outbound

This paper cites SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 24

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E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation In: Proc SPIE Int Soc Opt Eng

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.727830Z

Source-reported events for the cited work

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Observation 8cc1c3e1-14e2-4731-aed9-ad375fbbe24d · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 22(4), 1218--1226 (2018).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation IEEE Journal of Biomedical and Health Informatics 22(4), 1218--1226 (2018)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.716296Z

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Observation 34735b0c-4565-4133-ab17-89b12f7e9f64 · outbound

This paper cites Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification

Reference 27

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Observation cd1cd0f2-3dec-408f-9e96-0c6bd2bec793 · outbound

This paper cites Computers in Biology and Medicine 171, 108238 (2024).

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation Computers in Biology and Medicine 171, 108238 (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:09:32.704911Z

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Observation 6414b88d-5a04-4512-845c-392c0da65145 · outbound

This paper cites MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM.

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM

Reference 29

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E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation , " * write output.state after.block = add.period write

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:09:32.564621Z

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E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation write newline

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.