Paper Citation Record · LEDGER

Robustness of transferability estimation metrics for medical imaging

As of 12 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.09999.

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

pith.paper-citation-record.v1
2608.09999 v1

Coverage vector

measured 34 of 34 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T00:53:33.253833Z

measured 34 of 34 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation f0b37f2e-60e8-452c-873d-6eb0a32c5b28 · outbound

This paper cites How stable are Transferability Metrics evaluations?.

Robustness of transferability estimation metrics for medical imaging How stable are Transferability Metrics evaluations?

Reference 1

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Observation 17741190-d397-4ed9-b772-d9baa50e435b · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Robustness of transferability estimation metrics for medical imaging In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 2

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Observation a1d077ea-a433-405c-8ca2-ac253b0248ed · outbound

This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.

Robustness of transferability estimation metrics for medical imaging Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Reference 3

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This paper cites 003,https://linkinghub.elsevier.com/retrieve/pii/S0899707122002856.

Robustness of transferability estimation metrics for medical imaging 003,https://linkinghub.elsevier.com/retrieve/pii/S0899707122002856

Reference 4

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Observation 03828aae-c0d1-4993-a8fb-4a30fe24bb27 · outbound

This paper cites An Information-Theoretic Approach to Transferability in Task Transfer Learning.

Robustness of transferability estimation metrics for medical imaging An Information-Theoretic Approach to Transferability in Task Transfer Learning

Reference 5

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Observation e05c9fc4-2962-4a02-9d44-bddf4d1bd490 · outbound

This paper cites Scalable Diverse Model Selection for Accessible Transfer Learning.

Robustness of transferability estimation metrics for medical imaging Scalable Diverse Model Selection for Accessible Transfer Learning

Reference 6

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Observation b74e7f95-0f1f-4828-910a-6786db7980f6 · outbound

This paper cites The Performance of Transferability Metrics does not Translate to Medical Tasks.

Robustness of transferability estimation metrics for medical imaging The Performance of Transferability Metrics does not Translate to Medical Tasks

Reference 7

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Observation 94f778ad-b11f-41af-80cb-937ad828e085 · outbound

This paper cites Medical Image Analysis54, 280–296 (May 2019).https://doi.org/10.

Robustness of transferability estimation metrics for medical imaging Medical Image Analysis54, 280–296 (May 2019).https://doi.org/10

Reference 8

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Observation 626a1497-ea00-4a44-a988-0aa71ce2279b · outbound

This paper cites Data Representativity for Machine Learning and AI Systems.

Robustness of transferability estimation metrics for medical imaging Data Representativity for Machine Learning and AI Systems

Reference 9

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Observation 28c6ed89-9ca6-4857-8b79-23ba3caf417a · outbound

This paper cites 248–255 (2009).https://doi.org/10.1109/CVPR.

Robustness of transferability estimation metrics for medical imaging 248–255 (2009).https://doi.org/10.1109/CVPR

Reference 10

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Observation eb517fad-2562-4869-9af1-359d3b612053 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Robustness of transferability estimation metrics for medical imaging Deep Residual Learning for Image Recognition

Reference 11

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Observation 07228073-7f70-4751-918b-062a49cd5c8d · outbound

This paper cites Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance.

Robustness of transferability estimation metrics for medical imaging Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance

Reference 12

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Observation e878027e-2ea2-4b28-875b-d7a5d8dfefb3 · outbound

This paper cites On dataset transferability in medical image classification.

Robustness of transferability estimation metrics for medical imaging On dataset transferability in medical image classification

Reference 13

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Observation 8ef32130-c2f8-4c6b-bb08-cd686aa79927 · outbound

This paper cites Biometrika30(1/2), 81–93 (1938),http://www.jstor.org/stable/2332226.

Robustness of transferability estimation metrics for medical imaging Biometrika30(1/2), 81–93 (1938),http://www.jstor.org/stable/2332226

Reference 14

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Observation 91362454-989a-4367-861f-69b514a3f93b · outbound

This paper cites BMC Medical Imaging22(1), 69 (Dec 2022).https://doi.org/10.1186/s12880- 022-00793-7,https://bmcmedimaging.biomedcentral.com/articles/10.1186/ s12880-022-00793-7.

Robustness of transferability estimation metrics for medical imaging BMC Medical Imaging22(1), 69 (Dec 2022).https://doi.org/10.1186/s12880- 022-00793-7,https://bmcmedimaging.biomedcentral.com/articles/10.1186/ s12880-022-00793-7

Reference 15

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Observation 4c3e5b54-9409-4730-8ffe-b74798e34f76 · outbound

This paper cites From pre-training to downstream performance: Does domain-specific pre-training make sense?.

Robustness of transferability estimation metrics for medical imaging From pre-training to downstream performance: Does domain-specific pre-training make sense?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:53:33.930660Z

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Observation 085f6071-cece-405d-986d-62d32c68e305 · outbound

This paper cites Ranking Neural Checkpoints.

Robustness of transferability estimation metrics for medical imaging Ranking Neural Checkpoints

Reference 17

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Observation 0c7db5b5-f8fd-4250-a950-6ab5b40786a6 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Robustness of transferability estimation metrics for medical imaging SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 18

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Observation ade6384f-0b96-4e0a-856f-6cd5b1d3a894 · outbound

This paper cites Decoupled Weight Decay Regularization.

Robustness of transferability estimation metrics for medical imaging Decoupled Weight Decay Regularization

Reference 19

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Observation 91ef7f2c-4436-418a-aa3a-9657898a61db · outbound

This paper cites Nature Methods21(2), 195–212 (Feb 2024).https://doi.org/10.1038/s41592- 023- 02151-z,https://www.nature.com/articles/s41592-023-02151-z.

Robustness of transferability estimation metrics for medical imaging Nature Methods21(2), 195–212 (Feb 2024).https://doi.org/10.1038/s41592- 023- 02151-z,https://www.nature.com/articles/s41592-023-02151-z

Reference 20

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Observation bba28391-8335-43cc-aad6-15ed441ce776 · outbound

This paper cites Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types.

Robustness of transferability estimation metrics for medical imaging Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Reference 21

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Observation a3504a0e-5ae2-444b-9c91-a81b537696b4 · outbound

This paper cites LEEP: A New Measure to Evaluate Transferability of Learned Representations.

Robustness of transferability estimation metrics for medical imaging LEEP: A New Measure to Evaluate Transferability of Learned Representations

Reference 22

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This paper cites In: 2022 IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR).

Robustness of transferability estimation metrics for medical imaging In: 2022 IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR)

Reference 23

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Observation 5b6287e3-4266-4591-9bb4-9b039e85f1f8 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Robustness of transferability estimation metrics for medical imaging PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 24

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Observation 0ef34a74-cd96-45c1-b9cd-c8ae23a7861f · outbound

This paper cites Transfusion: Understanding Transfer Learning for Medical Imaging.

Robustness of transferability estimation metrics for medical imaging Transfusion: Understanding Transfer Learning for Medical Imaging

Reference 25

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This paper cites In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T.

Robustness of transferability estimation metrics for medical imaging In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T

Reference 26

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This paper cites The American Journal of Psychology15(1), 72 (Jan 1904).https://doi.org/ 10.2307/1412159,https://www.jstor.org/stable/1412159?origin=crossref.

Robustness of transferability estimation metrics for medical imaging The American Journal of Psychology15(1), 72 (Jan 1904).https://doi.org/ 10.2307/1412159,https://www.jstor.org/stable/1412159?origin=crossref

Reference 27

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Robustness of transferability estimation metrics for medical imaging Unresolved cited work

Reference 28

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Observation c82a1940-57bd-4eed-8467-6d43d7b00eee · outbound

This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Robustness of transferability estimation metrics for medical imaging In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 29

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This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II.

Robustness of transferability estimation metrics for medical imaging In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II

Reference 30

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This paper cites Nature Methods17, 261–272 (2020).https://doi.org/10.1038/s41592- 019- 0686-2.

Robustness of transferability estimation metrics for medical imaging Nature Methods17, 261–272 (2020).https://doi.org/10.1038/s41592- 019- 0686-2

Reference 31

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This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Robustness of transferability estimation metrics for medical imaging In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 32

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This paper cites Scientific Data10(1), 41 (Jan 2023).https://doi.org/10.1038/s41597- 022-01721-8,https://www.nature.com/articles/s41597-022-01721-8.

Robustness of transferability estimation metrics for medical imaging Scientific Data10(1), 41 (Jan 2023).https://doi.org/10.1038/s41597- 022-01721-8,https://www.nature.com/articles/s41597-022-01721-8

Reference 33

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Observation 674b76d0-81e2-4d64-a49b-a0ac9c287419 · outbound

This paper cites LogME: Practical Assessment of Pre-trained Models for Transfer Learning.

Robustness of transferability estimation metrics for medical imaging LogME: Practical Assessment of Pre-trained Models for Transfer Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:53:33.355114Z

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