Paper Citation Record · LEDGER

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization

As of 15 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 3 inbound Pith citation observations for arXiv:2509.04977.

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

pith.paper-citation-record.v1
2509.04977 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:48:01.998868Z

measured 103 of 103 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T21:35:49.327231Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:40:40.949328Z

Reference resolution

100 of 103 outbound references displayed

verified exact2
verified fuzzy52
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c643c179-0f68-4530-9703-bd7aeabceacb · outbound

This paper cites Deep residual learning for image recognition,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Deep residual learning for image recognition,

Reference 1

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Source-reported events for the cited work

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Observation a7a69811-2ffa-46d1-9ca6-021a79aa068d · outbound

This paper cites Non-local neural networks,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Non-local neural networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:52.758003Z

Source-reported events for the cited work

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Observation 8b2d8984-a65a-461a-ba37-2b7c76f296e4 · outbound

This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to- image translation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Stargan: Unified generative adversarial networks for multi-domain image-to- image translation,

Reference 3

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Observation 2e71047c-ce26-4331-a79a-2728a1fcbaac · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Benchmarking neural network robustness to common corruptions and perturbations,

Reference 4

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Observation c8ec0bf8-cfad-4b97-990b-c1de3acea88f · outbound

This paper cites Wilds: A benchmark of in-the-wild distribution shifts,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Wilds: A benchmark of in-the-wild distribution shifts,

Reference 5

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Observation 2a492124-144f-4e07-b336-aa22c3d4c66e · outbound

This paper cites Do CIFAR-10 Classifiers Generalize to CIFAR-10?.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Reference 6

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Source-reported events for the cited work

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Observation c4659668-e523-4947-8b12-4b5061ed87ad · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Test-time training with self-supervision for generalization under distribution shifts,

Reference 7

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Source-reported events for the cited work

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Observation b75ca140-6d5c-46e8-b05a-f81304db7494 · outbound

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

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Tent: Fully test-time adaptation by entropy minimization,

Reference 8

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Observation 932f5d4a-8ace-4215-9944-22b8f9c6b4c5 · outbound

This paper cites Test-time classifier adjustment module for model-agnostic domain generalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Test-time classifier adjustment module for model-agnostic domain generalization,

Reference 9

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Observation 008d6123-80d1-4504-a492-a90a6f84a422 · outbound

This paper cites Mt3: Meta test-time training for self-supervised test-time adaption,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Mt3: Meta test-time training for self-supervised test-time adaption,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:53.396522Z

Source-reported events for the cited work

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Observation 1dca9832-ff0a-4405-a2f0-85bb20e0bf3a · outbound

This paper cites Test-time model adaptation with only forward passes,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Test-time model adaptation with only forward passes,

Reference 11

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Observation 5673f1fd-fbaf-411b-867f-5143a8fba672 · outbound

This paper cites Learning to generate gradients for test-time adaptation via test-time training layers,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Learning to generate gradients for test-time adaptation via test-time training layers,

Reference 12

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Observation 5df9e73b-e12f-42f8-ab0c-58ef66e218be · outbound

This paper cites Boost Test-Time Performance with Closed-Loop Inference.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Boost Test-Time Performance with Closed-Loop Inference

Reference 13

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Observation 638ac877-25b1-4cec-aa0a-ceef1032c2fc · outbound

This paper cites Ttt++: When does self-supervised test-time training fail or thrive?.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Ttt++: When does self-supervised test-time training fail or thrive?

Reference 14

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Source-reported events for the cited work

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Observation be640e70-1f9b-40ea-907e-8847993c9172 · outbound

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

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Efficient test-time model adaptation without forgetting,

Reference 15

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Observation bb9c4b0a-93a0-4bab-b70d-ab6de234ab86 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 16

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Observation 87893cbf-92fd-448c-84a4-6f8258a226d4 · outbound

This paper cites Group normalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Group normalization,

Reference 17

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Source-reported events for the cited work

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Observation 990c6935-e520-4a32-b24f-3bfebd55df06 · outbound

This paper cites Layer Normalization.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Layer Normalization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62131c1-6fc4-4145-8dd1-97f88f43a24a · outbound

This paper cites In search of lost online test-time adaptation: A survey,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization In search of lost online test-time adaptation: A survey,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:54.262607Z

Source-reported events for the cited work

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Observation 58d6a38a-49a6-404d-bdb4-291e53d0d91c · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization A comprehensive survey on test-time adaptation under distribution shifts,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:54.307510Z

Source-reported events for the cited work

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Observation a934f854-1a37-40be-a9d2-c03b62dcde5a · outbound

This paper cites Uncertainty-calibrated test-time model adaptation without forgetting,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Uncertainty-calibrated test-time model adaptation without forgetting,

Reference 21

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Source-reported events for the cited work

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Observation 65a638fc-cdd7-4fae-846f-7228034c10fe · outbound

This paper cites Entropy is not enough for test-time adaptation: From the perspective of disentan- gled factors,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Entropy is not enough for test-time adaptation: From the perspective of disentan- gled factors,

Reference 22

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Source-reported events for the cited work

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Observation 2ef798f2-874a-41cc-a255-b6ab24be8555 · outbound

This paper cites Universal test-time adaptation through weight ensembling, diversity weighting, and prior correction,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Universal test-time adaptation through weight ensembling, diversity weighting, and prior correction,

Reference 23

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Source-reported events for the cited work

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Observation d040e3f2-165a-4c28-bb43-dc4ea1b0f8b7 · outbound

This paper cites Towards stable test-time adaptation in dynamic wild world,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Towards stable test-time adaptation in dynamic wild world,

Reference 24

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Observation 3370cf82-5363-4241-b45f-ff869548b869 · outbound

This paper cites Learning discrete representations via information maximizing self-augmented training,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Learning discrete representations via information maximizing self-augmented training,

Reference 25

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Observation 576ad5b9-6146-470f-96a6-46f99949241e · outbound

This paper cites Obtaining well calibrated probabilities using bayesian binning,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Obtaining well calibrated probabilities using bayesian binning,

Reference 26

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Observation 4655e8af-f54e-402a-8bab-c0f8f3aa8aaf · outbound

This paper cites Generalizing across domains via cross-gradient training,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Generalizing across domains via cross-gradient training,

Reference 27

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Observation e45be50f-048a-4941-8792-2d75fc750296 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Learning to generalize: Meta-learning for domain generalization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:14.289754Z

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Observation cfeb72dd-f7fa-4b2c-bd90-9cef01e23a4b · outbound

This paper cites Domain generalization via model-agnostic learning of semantic features,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Domain generalization via model-agnostic learning of semantic features,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:13.911914Z

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Observation fe36e149-5dec-44da-9006-5a82bc90d2d1 · outbound

This paper cites Robustness properties of Facebook's ResNeXt WSL models.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Robustness properties of Facebook's ResNeXt WSL models

Reference 30

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Observation e079ad47-fb34-493d-93b8-4423350cbafc · outbound

This paper cites Fast autoaugment,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Fast autoaugment,

Reference 31

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Observation 6bda238e-3ffc-4c40-b5b9-0fd4b9aba674 · outbound

This paper cites Augmix: A simple data processing method to improve robustness and uncertainty,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Augmix: A simple data processing method to improve robustness and uncertainty,

Reference 32

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Observation 462a7caa-a473-4238-b1ef-a4ff228bdc29 · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization On feature normalization and data augmentation,

Reference 33

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Observation 81933e8c-1734-48d5-a897-70a4208078b3 · outbound

This paper cites Improving out-of-distribution robustness via selective augmentation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Improving out-of-distribution robustness via selective augmentation,

Reference 34

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Observation 43d9e158-9053-4f9c-ad5a-bcce8a78c193 · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Inter-class and inter-domain semantic augmentation for domain generalization,

Reference 35

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Observation 2979062d-57f4-4a75-b9c9-9fdd22f2d8be · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Drivegen: Generalized and robust 3d detection in driving via controllable text-to-image diffusion generation,

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This paper cites Multi-adversarial domain adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Multi-adversarial domain adaptation,

Reference 37

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Maximum classifier discrepancy for unsupervised domain adaptation,

Reference 38

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Observation 3632d6cd-522d-44d4-9ff5-ac78501827cc · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Col- laborative unsupervised domain adaptation for medical image diagnosis,

Reference 39

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Observation 9a80b5db-9d3c-48ce-b35e-6f69ecef38a1 · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19

Reference 40

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Prototype- guided continual adaptation for class-incremental unsupervised domain adaptation,

Reference 41

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Model adaptation: Unsu- pervised domain adaptation without source data,

Reference 42

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Universal source-free domain adaptation,

Reference 43

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Observation 62059646-5821-46a1-a32e-4798e77b987c · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Source- free domain adaptation via avatar prototype generation and adaptation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:12.070313Z

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Observation da293f0e-116b-4d1b-a335-43bc13ea0d14 · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation,

Reference 45

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.905456Z

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Observation 8e63eb8e-4a38-4843-98e7-8162e3a6130f · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unsupervised representation learning by predicting image rotations,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.742402Z

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Observation ae206fa2-dad9-4915-8bb9-bdc3e807bcc3 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization A simple framework for contrastive learning of visual representations,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.630562Z

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Observation 81cb6d48-1d85-4385-ae3f-6377bf6c557d · outbound

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Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization MECTA: Memory-economic continual test-time model adaptation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.513013Z

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Observation 3ff9a55c-3e89-402e-9192-651c2370dedc · outbound

This paper cites Monotta: Fully test-time adaptation for monocular 3d object detection,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Monotta: Fully test-time adaptation for monocular 3d object detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.363031Z

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Observation b6487308-6ec0-40f0-a080-8dd66ae223ec · outbound

This paper cites Improving robustness against common corruptions by covariate shift adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Improving robustness against common corruptions by covariate shift adaptation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.213617Z

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Observation c55d3703-a2cc-4990-95c7-213c62360817 · outbound

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

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Reference 52

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Observation 610ec441-af1e-4bd4-87cf-65e176543d4e · outbound

This paper cites SITA: Single Image Test-time Adaptation.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization SITA: Single Image Test-time Adaptation

Reference 53

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Unavailable: canonical work link unavailable.

Observation aa46f8ee-5919-4c7e-aa2c-31df64cd95fc · outbound

This paper cites TTN: A domain-shift aware batch normalization in test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization TTN: A domain-shift aware batch normalization in test-time adaptation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:11.053309Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ebc3fcb4-94c8-4060-9c8b-08f81de1cbe3 · outbound

This paper cites DELTA: Degradation-free fully test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization DELTA: Degradation-free fully test-time adaptation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.922743Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61cc5fee-21fa-409f-8404-db3693506e59 · outbound

This paper cites Memo: Test time robustness via adaptation and augmentation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Memo: Test time robustness via adaptation and augmentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.745270Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 271aabea-bbd1-482a-a952-f5ee7507298f · outbound

This paper cites Towards robust and efficient cloud-edge elastic model adaptation via selective entropy distillation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Towards robust and efficient cloud-edge elastic model adaptation via selective entropy distillation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.597553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fcb6082-3e0f-47e4-954c-ec9148d4a203 · outbound

This paper cites Continual test-time domain adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Continual test-time domain adaptation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.459856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20e6b096-974f-4ab7-b63b-63969e3baa3f · outbound

This paper cites Contrastive test- time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Contrastive test- time adaptation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.309443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55d9b8f2-d71c-4b24-a848-69f5e1a9f1fc · outbound

This paper cites Self-bootstrapping for versatile test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Self-bootstrapping for versatile test-time adaptation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:10.133406Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba4b59c2-efeb-4146-b956-9b2b30973e68 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization A comprehensive survey on test-time adaptation under distribution shifts,

Reference 61

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Observation 2855f7c7-5027-4aa0-882e-8d15043d6974 · outbound

This paper cites Sotta: Robust test-time adaptation on noisy data streams,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Sotta: Robust test-time adaptation on noisy data streams,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:57.832774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3ac871-3f69-40d5-848f-d704ed33e57b · outbound

This paper cites Beyond entropy: Region con- fidence proxy for wild test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Beyond entropy: Region con- fidence proxy for wild test-time adaptation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.949713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5be1ac10-03a4-44a6-9782-8842596c340f · outbound

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

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Robust test-time adaptation in dynamic scenarios,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:58.007445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6634cf-f56c-4ddb-b2aa-cd74467106f0 · outbound

This paper cites Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:02.763849Z

Source-reported events for the cited work

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Observation c4fb4b3a-c266-4665-b9f1-b74b593f2344 · outbound

This paper cites Rdumb: A simple approach that questions our progress in continual test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Rdumb: A simple approach that questions our progress in continual test-time adaptation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.781602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b55d2686-d25e-4206-9bd5-c3f7bf09a53f · outbound

This paper cites Monitoring risks in test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Monitoring risks in test-time adaptation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.612690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca0b56ba-0354-4a1a-b5d7-e7e08f964a28 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Sharpness-aware minimization for efficiently improving generalization,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.443510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea39a5de-a015-4eac-9500-35bf17fe750b · outbound

This paper cites Flat minima,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Flat minima,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:58.312897Z

Source-reported events for the cited work

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Observation bbe39c9c-4a1b-48a9-9b4f-46d1cefa08d4 · outbound

This paper cites ASAM: adaptive sharpness- aware minimization for scale-invariant learning of deep neural networks,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization ASAM: adaptive sharpness- aware minimization for scale-invariant learning of deep neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.289327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcfed45d-ec73-4736-b19c-6732a0b02f1e · outbound

This paper cites Regularizing neural networks via adversarial model perturbation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Regularizing neural networks via adversarial model perturbation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:09.141828Z

Source-reported events for the cited work

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Observation ad757220-7830-4943-9303-8c9916d976f6 · outbound

This paper cites Efficient sharpness-aware minimization for improved training of neural networks,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Efficient sharpness-aware minimization for improved training of neural networks,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.996693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 736acdbb-09cd-4e20-9e2b-ed1faa6d6a34 · outbound

This paper cites When vision transformers outperform resnets without pre-training or strong data augmentations,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization When vision transformers outperform resnets without pre-training or strong data augmentations,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.834342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43f94ba1-7cce-45c1-8c5b-10cdea5031e3 · outbound

This paper cites Barlow twins: Self- supervised learning via redundancy reduction,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Barlow twins: Self- supervised learning via redundancy reduction,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.644744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 092508a6-f4fa-45f3-a420-b46f04a288a0 · outbound

This paper cites On feature decorrelation in self-supervised learning,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization On feature decorrelation in self-supervised learning,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.244336Z

Source-reported events for the cited work

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Observation f9a6a654-7c3b-4b3e-9965-3204d5158bdf · outbound

This paper cites Understanding dimensional collapse in contrastive self-supervised learning,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Understanding dimensional collapse in contrastive self-supervised learning,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.059183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e3124840-e095-4a1d-9f0a-a4f338c301ca · outbound

This paper cites Decorrelated batch normaliza- tion,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Decorrelated batch normaliza- tion,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:07.880927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7436149f-e834-4fd5-9e7c-8524966c3ca9 · outbound

This paper cites Stochastic whitening batch normalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Stochastic whitening batch normalization,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:07.695098Z

Source-reported events for the cited work

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Observation 2d83fe85-c850-4643-baec-8fb678bfc679 · outbound

This paper cites Test-time training with masked autoencoders,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Test-time training with masked autoencoders,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:07.512806Z

Source-reported events for the cited work

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Observation 10add843-b238-4b72-960e-f456cd7aee5b · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:59.283143Z

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Observation 4fa4819b-066c-4709-a7fa-3c1e6f994ef5 · outbound

This paper cites Rethinking "Batch" in BatchNorm.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Rethinking "Batch" in BatchNorm

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:59.416076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5339baf-e138-4a97-8a67-bb8b20e991ea · outbound

This paper cites Vicreg: Variance-invariance- covariance regularization for self-supervised learning,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Vicreg: Variance-invariance- covariance regularization for self-supervised learning,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:08.454185Z

Source-reported events for the cited work

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Observation 64404a71-534a-47b5-bf71-edb9485e9739 · outbound

This paper cites Pytorch image models,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Pytorch image models,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T05:47:59.634443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123eb9ad-fd7c-4c06-842a-4412db3fa756 · outbound

This paper cites Back to the source: Diffusion-driven test-time adaptation,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Back to the source: Diffusion-driven test-time adaptation,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:07.302404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a8a8693-7d43-4be0-b0da-56eacf3216ca · outbound

This paper cites Visualizing the loss landscape of neural nets,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Visualizing the loss landscape of neural nets,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:07.087481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b466b1e8-1180-4522-8828-19c99b61b30d · outbound

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

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Imagenet: A large-scale hierarchical image database,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:06.922630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1912b9d-fb43-4470-a7dc-4db4ffc6d2b1 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:06.776901Z

Source-reported events for the cited work

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Observation e33dbb49-9eb4-4164-8588-0885c5b4049d · outbound

This paper cites Improving test-time adaptation via shift-agnostic weight regularization and nearest source prototypes,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Improving test-time adaptation via shift-agnostic weight regularization and nearest source prototypes,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:06.613540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49a3850d-b720-4c13-b31b-7c920cdde51b · outbound

This paper cites Decoupled weight decay regularization,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Decoupled weight decay regularization,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:06.464891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 578f2fac-45a2-4881-9aea-fc34faf862bd · outbound

This paper cites A convnet for the 2020s,.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization A convnet for the 2020s,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:06.258554Z

Source-reported events for the cited work

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Observation dbd3f60e-80ad-4fae-aff1-bfb2020c5eed · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T05:48:00.832688Z

Source-reported events for the cited work

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Observation 1d3c0298-6c46-4e8c-bd9f-9510e6457c1c · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:06.017608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dc1c45ad-6a4c-40be-ad8b-c066e1f77ae1 · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:05.646587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 851b4a32-cb5a-4ab4-8e62-11af52b8bb4e · outbound

This paper cites 01-res 224.npz.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization 01-res 224.npz

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:05.379941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47c3e8fa-9910-4ee3-91e8-0dec811e6a23 · outbound

This paper cites The threshold E0 in Eqn.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization The threshold E0 in Eqn

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:05.150693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ef5c665-b103-4806-895b-687e33f8ba51 · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:04.933408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50f3bbb8-2314-4a76-93e2-85706813cf88 · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:04.725311Z

Source-reported events for the cited work

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Observation 6c330650-7482-4e4b-ba31-1e70f1c3132b · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:04.523600Z

Source-reported events for the cited work

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Observation 30cfaf9b-08f2-46c6-ac76-efbd1224c234 · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:04.317332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 58f249dc-b038-4ed6-b39d-a35750a678e3 · outbound

This paper cites an unresolved cited work.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Unresolved cited work

Reference 101

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:04.088691Z

Source-reported events for the cited work

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Pith citing papers

Observation abd464a2-d10f-4f99-9e87-d36c5f634da9 · inbound

ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse cites this paper.

ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:40:40.951946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fba5ae0-a421-4f3d-8e8d-75110b86d94d · inbound

Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation cites this paper.

Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:00:12.823553Z

Source-reported events for the cited work

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Observation d95dea00-ba89-49ea-b43f-42c8580d5407 · inbound

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection cites this paper.

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:05.420363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.