Paper Citation Record · LEDGER

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2604.06099.

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

pith.paper-citation-record.v1
2604.06099 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:39:36.008386Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:32:35.371356Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact2
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e93101c-cf4f-424e-bc5f-6ca92e37faad · outbound

This paper cites Zach-vit: Regime-dependent inductive bias in compact vision trans- formers for medical imaging.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Zach-vit: Regime-dependent inductive bias in compact vision trans- formers for medical imaging

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:49.991921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef7c9cd9-4415-4955-bcff-da603e4b8abe · outbound

This paper cites A scoping review of robustness concepts for ma- chine learning in healthcare.npj Digital Medicine, 8(1):38.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes A scoping review of robustness concepts for ma- chine learning in healthcare.npj Digital Medicine, 8(1):38

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.634291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7433926d-244e-4a7b-8674-cb2eeffc3df9 · outbound

This paper cites MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:49.996594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71780b88-1452-432b-ad70-c6b6dd7fdc22 · outbound

This paper cites Apostolidis and George A.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Apostolidis and George A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.629221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90b52d1d-c201-446d-b982-63bdb72974c9 · outbound

This paper cites TransMIL: Transformer based correlated multiple instance learning for whole slide image classification.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes TransMIL: Transformer based correlated multiple instance learning for whole slide image classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.611567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a0ad882-3761-463b-8e2a-f80f2b8f1cf8 · outbound

This paper cites Tomczak, and Max Welling.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Tomczak, and Max Welling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.615521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 938ab4bc-f029-4d0c-a565-3175bb5fd8ac · outbound

This paper cites Benchmarking neu- ral network robustness to common corruptions and perturba- tions.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Benchmarking neu- ral network robustness to common corruptions and perturba- tions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.598696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9dbe429-f8c1-4f6b-a3d1-e32b1c1ffe08 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.619993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75ef51dc-68b5-4b7d-bc0c-4840ebff31e2 · outbound

This paper cites Towards deep learn- ing models resistant to adversarial attacks.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Towards deep learn- ing models resistant to adversarial attacks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.607239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 428df623-1c49-4009-bf84-6c7feace8714 · outbound

This paper cites MedM- NIST v2: A large-scale lightweight benchmark for 2D and 3D biomedical image classification.Scientific Data, 10:48.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes MedM- NIST v2: A large-scale lightweight benchmark for 2D and 3D biomedical image classification.Scientific Data, 10:48

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.624637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 748b8ce0-1a6b-4dde-b7b7-66c259e7fc5a · outbound

This paper cites Edge AI for Internet of Medical Things: A literature review.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Edge AI for Internet of Medical Things: A literature review

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.594445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83715317-03fb-43f1-aec4-f63251dc8b7c · outbound

This paper cites Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A systematic review.Journal of Multidisciplinary Healthcare, 16:2839–2859.

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A systematic review.Journal of Multidisciplinary Healthcare, 16:2839–2859

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T04:27:18.603163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation c262f339-dd48-4620-b5e1-c45430545c7b · inbound

qZACH-ViT: Quantization-Aware Intrinsic Explanations with Recursive Attribution-Stabilized Optimization cites this paper.

qZACH-ViT: Quantization-Aware Intrinsic Explanations with Recursive Attribution-Stabilized Optimization Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T23:32:35.371356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.