Paper Citation Record · LEDGER

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.08164.

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

pith.paper-citation-record.v1
2607.08164 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:38:28.159585Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

36 of 36 outbound references displayed

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unresolved36
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e179fcbb-7ca5-4bd7-b778-6847ea2fa241 · outbound

This paper cites GPT-4 Technical Report.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation e905b05a-f049-4389-9adc-e78578286937 · outbound

This paper cites Towards open world recognition.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Towards open world recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 0b3a1ee8-9299-4972-99c9-737590be94c6 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions On the Opportunities and Risks of Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation cff15b81-f528-4659-91af-ebb1b673db6b · outbound

This paper cites Parameter-free online test-time adaptation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Parameter-free online test-time adaptation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 48d3c7bd-f03a-43f9-bf8d-9bab4ea360b6 · outbound

This paper cites The intriguing role of module criticality in the generalization of deep networks.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions The intriguing role of module criticality in the generalization of deep networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 0d4b2d67-9ec0-4a44-809a-f28ab7f391eb · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions On Tiny Episodic Memories in Continual Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 4b405614-3cf0-4101-a0b9-ca7ba58ad08f · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Imagenet: A large-scale hierarchical image database

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 43c4b785-3a67-4f7c-ac64-c5e210da184a · outbound

This paper cites A survey on in-context learning.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions A survey on in-context learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation e75a6f76-accb-425f-9ec4-e2952d9ff0dc · outbound

This paper cites Deep Think with Confidence.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Deep Think with Confidence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 05f45f73-c613-4786-88c9-a3871fe2050f · outbound

This paper cites MIT press,.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions MIT press,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

Source-reported events for the cited work

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Observation 4e606464-5b4a-4c2d-9aa9-958f8bdad706 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 248bff79-e787-414d-89c2-b46e6778dc4f · outbound

This paper cites MixNorm: Test-Time Adaptation Through Online Normalization Estimation.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 1ec94221-445a-4839-a499-2e359363bfc6 · outbound

This paper cites Pcotta: Continual test-time adaptation for multi-task point cloud understanding.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Pcotta: Continual test-time adaptation for multi-task point cloud understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 5e2cba18-4262-4cdf-8a4c-f2702454593a · outbound

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

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 1469cd90-8ada-4d4c-980f-d10e073caaef · outbound

This paper cites Continual test-time adaptation for end-to-end speech recognition on noisy speech.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Continual test-time adaptation for end-to-end speech recognition on noisy speech

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 55e9985c-e418-43b7-8245-d874adb2f080 · outbound

This paper cites ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation f0b96882-7c42-4ade-9045-5b69de1c231f · outbound

This paper cites Ctta-t: Continual test-time adaptation for text understanding via teacher-student with a domain-aware and generalized teacher.arXiv preprint arXiv:2512.18321, 2025b.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Ctta-t: Continual test-time adaptation for text understanding via teacher-student with a domain-aware and generalized teacher.arXiv preprint arXiv:2512.18321, 2025b

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 243a6c9a-1c6f-4b41-a965-0fbf727d30de · outbound

This paper cites EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 845e6d80-ad3c-49e1-851c-e1cb35d8def8 · outbound

This paper cites Audio-Visual Continual Test-Time Adaptation without Forgetting.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Audio-Visual Continual Test-Time Adaptation without Forgetting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation d684ca5c-8bb2-428d-abc7-790abf5f32d2 · outbound

This paper cites Semantic anchor transport: Robust test-time adaptation for vision-language models,.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Semantic anchor transport: Robust test-time adaptation for vision-language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

Source-reported events for the cited work

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Observation 419f4573-8be9-4dfe-b885-adacd337607a · outbound

This paper cites Effective restoration of source knowledge in continual test time adaptation.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Effective restoration of source knowledge in continual test time adaptation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 455fb6a4-9dc6-49c8-847e-0fb3ba67a7a2 · outbound

This paper cites Lifelong domain adaptive 3d human pose estimation.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Lifelong domain adaptive 3d human pose estimation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 6dce847d-572e-4858-8c26-c646a897e4f5 · outbound

This paper cites If your data distribution shifts, use self-learning.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions If your data distribution shifts, use self-learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation c591c7b4-75f3-42ed-ba3c-6467752bcd44 · outbound

This paper cites Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 8b2991c3-52cf-41f1-bebf-26e8a5ada8b2 · outbound

This paper cites Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation d0a6711b-42c9-4bdf-ac6e-c1d3d2fee2cb · outbound

This paper cites Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation fb627575-73f8-4d7d-bc8b-2d0a15757493 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 5be6297e-dcef-4b37-bd91-ebe7b092de23 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation dce82e29-2d19-4858-a103-12739b0c0d5b · outbound

This paper cites Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts.ISPRS Journal of Photogrammetry and Remote Sensing, 229: 422–435, 2025d.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts.ISPRS Journal of Photogrammetry and Remote Sensing, 229: 422–435, 2025d

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation c167e184-74b1-40e7-bbb7-6351a01e830a · outbound

This paper cites Beyond Model Adaptation at Test Time: A Survey.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Beyond Model Adaptation at Test Time: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 7f3a0d43-dd06-402c-84dc-f3d8e36f1cc3 · outbound

This paper cites Robust test-time adaptation in dynamic scenarios.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Robust test-time adaptation in dynamic scenarios

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 936e5b19-2899-41c7-81a3-9ce5c3cda8cc · outbound

This paper cites Wide Residual Networks.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Wide Residual Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation fa1b5eb4-f59a-4f18-8e82-07f57f55f4f6 · outbound

This paper cites Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 2ff98e5f-6bb7-4ce6-8203-086142dd6823 · outbound

This paper cites Learning to Reason without External Rewards.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions Learning to Reason without External Rewards

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 6cc333cc-c5ec-4490-b7a2-7b37dbb1c899 · outbound

This paper cites TTRL: Test-time reinforcement learning.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions TTRL: Test-time reinforcement learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Observation 427452d1-9803-4fa9-84a9-b90fad39b1f8 · outbound

This paper cites While this capability addresses genuine and pressing challenges in robust deployment, it also introduces a set of ethical, safety, and societal considerations that we discuss below.

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions While this capability addresses genuine and pressing challenges in robust deployment, it also introduces a set of ethical, safety, and societal considerations that we discuss below

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T15:38:28.159585Z

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Pith citing papers

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