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Paper Citation Record · LEDGER

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.15556.

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

pith.paper-citation-record.v1
2607.15556 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:01:58.955980Z

measured 24 of 24 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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Reference resolution

24 of 24 outbound references displayed

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Outbound references

Observation 7a294c11-7872-419d-a8f3-6cf7dbfcee49 · outbound

This paper cites Shah, Greg Zaharchuk, Marc Willis, Adam Yala, Andrew Johnston, Robert D.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Shah, Greg Zaharchuk, Marc Willis, Adam Yala, Andrew Johnston, Robert D

Reference 1

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Observation dc9beb41-084c-45d1-8602-fe0b80631467 · outbound

This paper cites Gradient align- ment improves test-time adaptation for medical image seg- mentation.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Gradient align- ment improves test-time adaptation for medical image seg- mentation

Reference 2

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Observation efe25a9c-511a-4de3-a9aa-e4d96eb2edcc · outbound

This paper cites Diverse data augmentation with diffusions for effective test-time prompt tuning.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 3

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Observation 627ba758-9eba-4653-84d5-1674d1539833 · outbound

This paper cites Domain-adversarial train- ing of neural networks.Journal of Machine Learning Re- search, 17(59):1–35, 2016.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Domain-adversarial train- ing of neural networks.Journal of Machine Learning Re- search, 17(59):1–35, 2016

Reference 4

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source=pdf_text observed=2026-08-01T23:01:56.120597Z digest=sha256:06e9d3b9d4a2fbc8c06834b58b7fdb54ee940855bbafc24888666253b23e590a

Observation 40197c4d-4380-4064-acee-6b23dd4deab6 · outbound

This paper cites Generalist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834,.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Generalist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834,

Reference 5

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Observation 44981701-584a-4059-952b-a6403495df28 · outbound

This paper cites Efficient test-time adaptation of vision-language models.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Efficient test-time adaptation of vision-language models

Reference 6

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Observation d4517888-220b-40cb-b4cb-f9658ee2f176 · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation

Reference 7

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Observation da430783-4ead-461b-9982-1db6a35b6293 · outbound

This paper cites Ct-glip: 3d grounded language-image pretraining with ct scans and ra- diology reports for full-body scenarios.arXiv preprint arXiv:2404.15272, 2024.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Ct-glip: 3d grounded language-image pretraining with ct scans and ra- diology reports for full-body scenarios.arXiv preprint arXiv:2404.15272, 2024

Reference 8

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Observation b3dfe031-edab-45f2-824f-9a971b80d418 · outbound

This paper cites Test-time adaptation with calibration of medical image classification nets for label distribution shift.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Test-time adaptation with calibration of medical image classification nets for label distribution shift

Reference 9

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Observation fdd9f21f-39f9-42e8-9d95-f5b42607daf0 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Efficient test-time model adaptation without forgetting

Reference 10

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Observation 4b72a54f-6c76-4288-95ab-a013add2f24f · outbound

This paper cites Towards Stable Test-Time Adaptation in Dynamic Wild World.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Towards Stable Test-Time Adaptation in Dynamic Wild World

Reference 11

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Observation d883c623-c282-4e95-9ce0-9417cb1236a6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Learning transferable visual models from natural language supervision

Reference 12

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Observation ec5f0f8c-7b5c-4419-8e25-bcdb18c13741 · outbound

This paper cites Auto- matic correction of performance drift under acquisition shift in medical image classification.Nature Communications, 14 (1):6608, 2023.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Auto- matic correction of performance drift under acquisition shift in medical image classification.Nature Communications, 14 (1):6608, 2023

Reference 13

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Observation d5c1a5bd-b2ff-4aa2-a18f-647972f105cc · outbound

This paper cites Test- time prompt tuning for zero-shot generalization in vision- language models.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 14

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Observation 141cf901-4d55-46e5-bdc3-66b2b7347bef · outbound

This paper cites Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Reference 15

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source=pdf_text observed=2026-08-01T23:01:57.741734Z digest=sha256:61dc79c890549293de9cbed7c6d02851b5e80ed4e2867e0d6186eb6fb930c49b

Observation 670ca4b8-4aeb-4eea-bec0-f9b044d44375 · outbound

This paper cites Efros, and Moritz Hardt.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Efros, and Moritz Hardt

Reference 16

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Observation e145c327-3da0-48f7-b257-a7ea239277b8 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Tent: Fully test-time adaptation by entropy minimization

Reference 17

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Observation 984c1333-45fa-4fae-b756-9ca912b1aa52 · outbound

This paper cites Continual test-time domain adaptation.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Continual test-time domain adaptation

Reference 18

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Observation f068cf72-e91e-4410-aac8-a99cddd9dd94 · outbound

This paper cites Multi-label test-time adaptation with bound en- tropy minimization.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Multi-label test-time adaptation with bound en- tropy minimization

Reference 19

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Observation 5beea1fc-9b01-4ddc-a8f4-6ff61eb6b7f0 · outbound

This paper cites External vali- dation of deep learning algorithms for radiologic diagnosis: a systematic review.Radiology: Artificial Intelligence, 4(3): e210064, 2022.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? External vali- dation of deep learning algorithms for radiologic diagnosis: a systematic review.Radiology: Artificial Intelligence, 4(3): e210064, 2022

Reference 20

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Observation 64b83d9a-4fe9-4016-a28a-438ac103ec6e · outbound

This paper cites A large- scale benchmark for test-time adaptation methods in medi- cal image segmentation.arXiv preprint arXiv:2512.02497,.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? A large- scale benchmark for test-time adaptation methods in medi- cal image segmentation.arXiv preprint arXiv:2512.02497,

Reference 21

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Observation 2a5761f5-461c-4771-9f02-299cdb225c0b · outbound

This paper cites Realistic test-time adaptation of vision-language models.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Realistic test-time adaptation of vision-language models

Reference 22

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Observation 3d28ddd7-7edf-483a-8f6f-e468bf218dc7 · outbound

This paper cites Test-time adaptation with clip reward for zero-shot general- ization in vision-language models.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? Test-time adaptation with clip reward for zero-shot general- ization in vision-language models

Reference 23

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Observation 662a3089-c7aa-4cda-997a-cd1a366b69f1 · outbound

This paper cites There is{abnormality}.

When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models? There is{abnormality}

Reference 24

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