Paper Citation Record · LEDGER

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.15425.

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

pith.paper-citation-record.v1
2505.15425 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:21.068140Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:13:53.947203Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9830d4a-77cd-49dc-bb44-3a02a7bea89d · outbound

This paper cites https://pmc.ncbi.nlm.nih.gov/, accessed: 2025-04-05 9.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? https://pmc.ncbi.nlm.nih.gov/, accessed: 2025-04-05 9

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:25.441969Z

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 ba554940-a11b-4daa-adf3-e009f5bc99d8 · outbound

This paper cites A Survey of Medical Vision-and-Language Applications and Their Techniques.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? A Survey of Medical Vision-and-Language Applications and Their Techniques

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:17.662259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf83a1f4-5215-408a-b498-db43f58fb80e · outbound

This paper cites In: ICML Workshop on Computational Biology (2021) 2, 9, 20.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: ICML Workshop on Computational Biology (2021) 2, 9, 20

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:25.260674Z

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 915abbaa-6cd8-407d-94a5-815b401de255 · outbound

This paper cites Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:21:21.850405Z

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 33df9c7a-f727-447c-b8b0-3f4c76bdfce1 · outbound

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

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:17.967185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43739308-acd1-498c-aec4-5ee90fcd9201 · outbound

This paper cites In: 2025 IEEE 22nd In- ternational Symposium on Biomedical Imaging (ISBI).

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: 2025 IEEE 22nd In- ternational Symposium on Biomedical Imaging (ISBI)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:25.046793Z

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 90a6e254-9ef8-4767-a418-54fd3f10fecd · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:24.860908Z

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 956ac906-776d-4e26-aaf0-f4fd2f77d46c · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:24.653457Z

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 c53fdf87-3b86-48f8-91ef-d0c64306771a · outbound

This paper cites MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:21:21.675948Z

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 58959005-40ed-403b-83fa-087010bf6644 · outbound

This paper cites In: ICLR (2019) 2.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: ICLR (2019) 2

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:24.434967Z

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 c6332889-c3c1-4d21-a701-e48ba1998e42 · outbound

This paper cites ICLR1(2), 3 (2022) 8.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? ICLR1(2), 3 (2022) 8

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:24.253117Z

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 4ef916d3-dec1-4414-b183-18395aa5422f · outbound

This paper cites Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:18.969671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4549b0-3e2a-421f-bf14-7c5a85841c67 · outbound

This paper cites Noise is an Efficient Learner for Zero-Shot Vision-Language Models.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Noise is an Efficient Learner for Zero-Shot Vision-Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:19.132444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f675dad8-f92c-4e60-b223-63bef8bb45ef · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (2019) 2.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Proceedings of the AAAI Conference on Artificial Intelligence (2019) 2

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:23.961842Z

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 dc13bbbe-e59a-4483-92ac-88d0c26f5846 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:19.434663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ef37400-0521-4c12-a2e3-0e6c5992fbd1 · outbound

This paper cites Radiology p.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Radiology p

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:23.735407Z

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 add91f25-6bb1-405f-bc53-8dc00554c113 · outbound

This paper cites IEEE Reviews in Biomedical Engineering (2025) 2.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? IEEE Reviews in Biomedical Engineering (2025) 2

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:23.484419Z

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 85331b14-0378-4f8b-b6ba-70500ef184b5 · outbound

This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:19.892988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcfb872b-e090-4485-911c-a27521c16616 · outbound

This paper cites Journal of Biomedical Informatics135, 104234 (2022) 4.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Journal of Biomedical Informatics135, 104234 (2022) 4

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:23.210950Z

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 d36f2d04-e14a-40b2-96e8-927b071b9a66 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:22.936325Z

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 f70c6676-9a38-4cb1-9d3d-3cce8a6d8c35 · outbound

This paper cites Medical Image Analysis 58, 101562 (2019).

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Medical Image Analysis 58, 101562 (2019)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:20.205494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78361df4-daa6-42ef-b0aa-f166aacf199c · outbound

This paper cites On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:21:21.410077Z

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 2ee9eb48-4ba0-4738-8125-fca4412923ce · outbound

This paper cites In: ICML (2021) 4, 9, 19.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: ICML (2021) 4, 9, 19

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:22.715955Z

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 245362ca-8fb4-49ea-a018-1636c0a2a0eb · outbound

This paper cites Seco de Herrera, A., et al.: Rocov2: Radiol- ogy objects in context version 2, an updated multimodal image dataset.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Seco de Herrera, A., et al.: Rocov2: Radiol- ogy objects in context version 2, an updated multimodal image dataset

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:22.529248Z

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 0e4732d4-e1a2-4b31-a9eb-378084a98ea3 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:22.339789Z

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 6fdd2f16-5734-48ce-a493-ac6b85ea37e4 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:20.695492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30919d9-7ff2-4ffb-9a2e-df4ebc6656f8 · outbound

This paper cites an unresolved cited work.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:20.803512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4f9e26-01f8-41f2-83ee-40643a67c91c · outbound

This paper cites Frontiers in neuroinformatics13, 46 (2019) 2, 4, 5.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? Frontiers in neuroinformatics13, 46 (2019) 2, 4, 5

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:21:22.173875Z

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 69be5949-9051-4277-b855-3fa3e2acfa69 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:20.976948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ecfa22-c5ac-4eb4-9fb4-792d2754a503 · outbound

This paper cites In-Distribution.

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable? In-Distribution

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:21:22.036992Z

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

Observation e131d344-9f9e-46f7-9fe1-dff80d68d595 · inbound

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift cites this paper.

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T19:13:53.947203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.