Paper Citation Record · LEDGER

Robust Training with Data Augmentation for Medical Imaging Classification

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.17133.

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

pith.paper-citation-record.v1
2506.17133 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:10.264798Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

29 of 29 outbound references displayed

verified exact2
verified fuzzy11
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2c3169a-c60a-41d1-b084-e7f310a7fd18 · outbound

This paper cites BMC bioinformatics 20, 1–20 (2019).

Robust Training with Data Augmentation for Medical Imaging Classification BMC bioinformatics 20, 1–20 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.756648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ec13cf0-ed38-420f-b528-d59f581895b5 · outbound

This paper cites Medical Physics 49(6), 3654–3669 (2022).

Robust Training with Data Augmentation for Medical Imaging Classification Medical Physics 49(6), 3654–3669 (2022)

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T19:15:10.333732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e386807c-a9ae-4622-bd24-be904b1ce34f · outbound

This paper cites Applied Sciences 11(2), 672 (2021).

Robust Training with Data Augmentation for Medical Imaging Classification Applied Sciences 11(2), 672 (2021)

Reference 3

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Source-reported events for the cited work

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Observation 7ed91911-2bc0-447a-b5b0-8701aadfa7e6 · outbound

This paper cites Monthly weather review 78(1), 1–3 (1950).

Robust Training with Data Augmentation for Medical Imaging Classification Monthly weather review 78(1), 1–3 (1950)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.746378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f01ad13-c321-47f1-938c-d29c3312415a · outbound

This paper cites COVID-19 Image Data Collection: Prospective Predictions Are the Future.

Robust Training with Data Augmentation for Medical Imaging Classification COVID-19 Image Data Collection: Prospective Predictions Are the Future

Reference 5

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Source-reported events for the cited work

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Observation e37214fd-d70f-4565-81be-ae767b86f0b1 · outbound

This paper cites Artificial Intelligence in Medicine 132, 102386 (2022).

Robust Training with Data Augmentation for Medical Imaging Classification Artificial Intelligence in Medicine 132, 102386 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.735428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a40d33c8-cdd6-4d32-8fd9-ac532c641c4b · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Robust Training with Data Augmentation for Medical Imaging Classification Explaining and Harnessing Adversarial Examples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.185181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ffc807-e8bc-43b5-8e1a-92c5e6a5e792 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Robust Training with Data Augmentation for Medical Imaging Classification In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.188841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 242fed94-2f5f-4825-b9ec-aa11594c8f94 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Robust Training with Data Augmentation for Medical Imaging Classification Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8afb8819-83e7-42de-9b6c-e284533f86bd · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Robust Training with Data Augmentation for Medical Imaging Classification AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.196631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53242403-ccc4-4e2c-ae31-6932dfde80a1 · outbound

This paper cites CVPR (2022).

Robust Training with Data Augmentation for Medical Imaging Classification CVPR (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.725896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c9b8491e-5a28-4e1c-bdc3-e41b1dd1a6c7 · outbound

This paper cites JCO Clinical Cancer Informatics 6, e2100170 (2022).

Robust Training with Data Augmentation for Medical Imaging Classification JCO Clinical Cancer Informatics 6, e2100170 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.714077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f38c2b56-9c20-441d-8e41-2fc0b459982d · outbound

This paper cites an unresolved cited work.

Robust Training with Data Augmentation for Medical Imaging Classification Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:10.703563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74eed20b-bd52-44b1-a746-7a7c6e7b3fb7 · outbound

This paper cites Heliyon p.

Robust Training with Data Augmentation for Medical Imaging Classification Heliyon p

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.691444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04157473-63a1-4b95-912d-5f9a17e2613e · outbound

This paper cites Korean journal of radiology 20(3), 405–410 (2019).

Robust Training with Data Augmentation for Medical Imaging Classification Korean journal of radiology 20(3), 405–410 (2019)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.678939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c734ec9-3e2e-4984-bef2-21b3d464b880 · outbound

This paper cites FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Robust Training with Data Augmentation for Medical Imaging Classification FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.217923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc1deab-37f6-408b-85b2-3f6ea27b2041 · outbound

This paper cites In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.

Robust Training with Data Augmentation for Medical Imaging Classification In: 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.667734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adde617d-2b3f-4632-b98f-2f19bd4371f3 · outbound

This paper cites Domain Generalization for Mammographic Image Analysis with Contrastive Learning.

Robust Training with Data Augmentation for Medical Imaging Classification Domain Generalization for Mammographic Image Analysis with Contrastive Learning

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:15:10.567227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2425e733-1e50-4336-a8a8-f900d1090904 · outbound

This paper cites Pattern Recognition 110, 107332 (2021).

Robust Training with Data Augmentation for Medical Imaging Classification Pattern Recognition 110, 107332 (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.657330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c51fdc2-b549-416a-95e0-2c97a30d9ce6 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Robust Training with Data Augmentation for Medical Imaging Classification Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 20

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Source-reported events for the cited work

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Observation ff0d2799-4ff3-4fee-a98b-fcc45b05af3f · outbound

This paper cites In: NeurIPS ML Safety Workshop (2022).

Robust Training with Data Augmentation for Medical Imaging Classification In: NeurIPS ML Safety Workshop (2022)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.647144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abb45084-ecb0-4803-8d46-09925fda5e83 · outbound

This paper cites Proceedings of the AAAI Conference on Arti- ficial Intelligence 38(21), 23579–23581 (2024).

Robust Training with Data Augmentation for Medical Imaging Classification Proceedings of the AAAI Conference on Arti- ficial Intelligence 38(21), 23579–23581 (2024)

Reference 22

Resolution: verified exact; doi, observed 2026-08-15T19:15:10.308315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1de6a5e4-8693-4062-8693-6010a203915f · outbound

This paper cites In: 2023 IEEE Conference on Artificial Intelligence (CAI), pp.

Robust Training with Data Augmentation for Medical Imaging Classification In: 2023 IEEE Conference on Artificial Intelligence (CAI), pp

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.244206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a1d603-13eb-4398-ae34-5cb563bccbe9 · outbound

This paper cites In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp.

Robust Training with Data Augmentation for Medical Imaging Classification In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.247622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32b164a6-20e4-4088-96a2-2466f93f8263 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Robust Training with Data Augmentation for Medical Imaging Classification An overview of gradient descent optimization algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.250806Z

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Unavailable: canonical work link unavailable.

Observation 3f1f2ac3-e2ec-403a-ad62-4f4c06756e1a · outbound

This paper cites Tools and Practices for Responsible AI Engineering.

Robust Training with Data Augmentation for Medical Imaging Classification Tools and Practices for Responsible AI Engineering

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.254103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d59e089-408c-4ebf-99e7-9ff40ef73f99 · outbound

This paper cites IEEE transactions on neural networks 10(5), 988–999 (1999).

Robust Training with Data Augmentation for Medical Imaging Classification IEEE transactions on neural networks 10(5), 988–999 (1999)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.257570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2915f01-3475-41f5-8212-cb01bcbe599e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Robust Training with Data Augmentation for Medical Imaging Classification mixup: Beyond Empirical Risk Minimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:10.260772Z

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Unavailable: canonical work link unavailable.

Observation 927048db-181a-4dd9-b6ef-c358dcd08d4e · outbound

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

Robust Training with Data Augmentation for Medical Imaging Classification In: International Conference on Machine Learning (2019)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:10.629356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.