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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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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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

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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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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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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

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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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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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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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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

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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

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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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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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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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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

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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

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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

This paper cites Inter-class and inter-domain semantic augmentation for domain generalization,.

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

This paper cites Drivegen: Generalized and robust 3d detection in driving via controllable text-to-image diffusion generation,.

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,

Reference 36

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5172b4d6-8240-41e5-9017-a4322f633554 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:48:12.785753Z

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.

source=pdf_text observed=2026-08-05T05:47:55.931923Z digest=sha256:6e4f2f039fad36b22bd9de10e904d01a99effcfff872cb43ea22e4db44b8defe

Observation 79ccf63c-ffa0-4cc1-8422-7a207378be08 · outbound

This paper cites Maximum classifier discrepancy for unsupervised domain adaptation,.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:48:12.625936Z

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.

source=pdf_text observed=2026-08-05T05:47:55.994285Z digest=sha256:3a937aa854dee4b01512faf0a8f7e5a963ffae02f524a14adccff4ddbd65ba61

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

This paper cites Col- laborative unsupervised domain adaptation for medical image diagnosis,.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:56.080326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:56.080326Z digest=sha256:5b2b78f045669ea451abfe394a68c869c6f07d674918e454e566b5999bcb0952

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

This paper cites COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:56.135245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:56.135245Z digest=sha256:b76899001c07c3ab7906608ee1468dd2348ec51dd41c99be1181b62aabe59109

Observation b1df5809-1e2e-4ed8-bd27-1521958e022c · outbound

This paper cites Prototype- guided continual adaptation for class-incremental unsupervised domain adaptation,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:48:12.478948Z

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.

source=pdf_text observed=2026-08-05T05:47:56.228696Z digest=sha256:330679060d8836c1e4cd125171f95774f92fc6fedfcc141b5dc5c49048dc6333

Observation f21683e3-833f-42d9-8f69-61f420a426b0 · outbound

This paper cites Model adaptation: Unsu- pervised domain adaptation without source data,.

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

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:48:12.308389Z

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.

source=pdf_text observed=2026-08-05T05:47:56.314240Z digest=sha256:53d4136a97df12389c1ff5e56ed1ee4909b609675cadbe9a5b5473e4959c0f86

Observation 1b781eed-c855-4cbe-972e-6d8d20aa5416 · outbound

This paper cites Universal source-free domain adaptation,.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:48:12.200351Z

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.

source=pdf_text observed=2026-08-05T05:47:56.404694Z digest=sha256:1c59acd0da5e73d9fa3f5523aa03cb499f662c1161a6596a5b90c9f80f7c415e

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

This paper cites Source- free domain adaptation via avatar prototype generation and adaptation,.

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

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.

source=pdf_text observed=2026-08-05T05:47:56.491406Z digest=sha256:8a8f582cbd6dd0f6479b71a5accd30bcd71dfb91b237ab558901ec0edcbaf55c

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

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

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:56.576716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:56.576716Z digest=sha256:875dad7f946e2a0e76843784497d098a8a3100b42c6f45e0fbf95e06fbb1b8bf

Observation c54b674a-0be9-4c85-9fc0-acd0a4d5ca7b · outbound

This paper cites Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer,.

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

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.

source=pdf_text observed=2026-08-05T05:47:56.659212Z digest=sha256:33423d6c2ae570c8ac9b390ca83c783b754ead6e85084c37fc1b611fb7d50233

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

This paper cites Unsupervised representation learning by predicting image rotations,.

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

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.

source=pdf_text observed=2026-08-05T05:47:56.747050Z digest=sha256:9d0d6d97e5aad09e94f4236531eac8542d44f86092a660b226212a59b25c9300

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

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.

source=pdf_text observed=2026-08-05T05:47:56.834642Z digest=sha256:f53aba238ec1875a4816b634538c7b25da58f2993c28bf64a67c392ab9760bea

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

This paper cites MECTA: Memory-economic continual test-time model adaptation,.

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

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.

source=pdf_text observed=2026-08-05T05:47:56.949198Z digest=sha256:8c96f4e1a853c24b8e6ed6108712028b1aa8c2ccbbc56ea1d204a2092fa2ecba

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

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.

source=pdf_text observed=2026-08-05T05:47:57.014553Z digest=sha256:269926f30d09a91b645b40f488e9927ab8ed5fbac11287d784ee282b1d29a21b

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

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.

source=pdf_text observed=2026-08-05T05:47:57.102997Z digest=sha256:a58e23095b94da213f14634c680211d0c3e69f37bbce3003bea658fa9c88a68b

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:57.214079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:57.214079Z digest=sha256:eadcc8c60457aa655e3c7f20f7f1252056eaa10d11f5071ebdfa71ccde8d6185

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:57.305160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:57.305160Z digest=sha256:bbb7eb9dc6eae5613fc5f9ea07359acf125f9924969800c8db31d654b146950b

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

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.

source=pdf_text observed=2026-08-05T05:47:57.329440Z digest=sha256:cc76d4447138fbff6d787002803f7e04d788f62cc74ddae181784ccfc074d5f5

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

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.

source=pdf_text observed=2026-08-05T05:47:57.382018Z digest=sha256:79ba02bbe9f36c444a68bce460358004c92993605e436494e8a96c0a1afb91a6

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

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.

source=pdf_text observed=2026-08-05T05:47:57.434452Z digest=sha256:b0b55a16be45d8db13299baa4fa98f912e7aeb20b77d324b64bc723b45900bab

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:57.486564Z digest=sha256:440e7f0429eb3958ae14644913d20778b1fcc08b47cb50f15ad2f93d6b5d143d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:57.539753Z digest=sha256:30bdf92427a93313d124d3093051adec187ed90be4c8e73932db2c5805d90e32

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:57.592190Z digest=sha256:a34cad98d5689f7d4a244d3899d5d28f4258dada26b6f26ea3d181840ff8ecee

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

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.

source=pdf_text observed=2026-08-05T05:47:57.695974Z digest=sha256:dfd430494227aa031b0a3af71c072cc45f3ff84dbadb32aac5530c3f9ca2624a

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:47:57.770270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:57.770270Z digest=sha256:a15f50605407455e73d46d6a7ff7e0cafce2fc4656ead69bcd427dc151c02c5c

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.

source=pdf_text observed=2026-08-05T05:47:57.832774Z digest=sha256:6122037ec2592bff2e55bc87ea2f7e904c63c7a9ceb4a1711e78f8b637f039f6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:57.918765Z digest=sha256:02de5c8add247900d8d65ce8c2c223c7ba2fc8c62ca931eb89d3398a917c982c

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.

source=pdf_text observed=2026-08-05T05:47:58.007445Z digest=sha256:953bced37349a84f07f0192122d0f8c05063ab58a2d8948fde1e1f3d553f5fd8

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.065252Z digest=sha256:36d961ccee8a931097242b04faa13bbc68731d540d962536ddcc792f86dc568e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.120950Z digest=sha256:69f8ffb829ab5ac0efbc7c45a2f894f3554354e13e99a1d2a1ffce5d4d8d2cbf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.165274Z digest=sha256:104cdef03c985e20cbfafed9123616527485831f14694fd528e11c00eae75b2f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.259709Z digest=sha256:9473cd43a1e9ee871df91ecaf67bb2f42a4da0a626b1fc51d0a88b3c448d1f40

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:58.312897Z digest=sha256:62cbdd0d4dd2afa91f7e4e03f6cfb50fa934ad287dac8af11339879bada68c32

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.349987Z digest=sha256:5a4490ff25de37c87c471cfe011c8938397bd0442d9f4bcc6c3fa5310b043685

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.401304Z digest=sha256:a4d7b6790b7b91e47cfbc1c787a892f5920482ef8e415d6c1d2d411365a61228

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.490107Z digest=sha256:dc6409f9d93a32dfb57a82106bac07a67eff719c9ad854891428675f5d8f21aa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.582979Z digest=sha256:75edca74ff43cb66d7bb237931474998967933ba56b383c5a202c966e0fa0467

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.638600Z digest=sha256:72906d1b40dfcdf771ef62c27adef7d315f200a75b912b56b93120380ef348eb

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.830276Z digest=sha256:b50685964a22acded159d6c84ab3b0a3f9294b0fbbd85a690e6f100734c43f27

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.844605Z digest=sha256:a4dec9d9edcd72b8ba831f479dfe47d9370643ba388a199ef275b2b05832759e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:58.850206Z digest=sha256:db31133b38826234c911d76ba6dbee2c5ff8f29c4151efc77e60a4ceb97289b7

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:59.015086Z digest=sha256:26f98bd1b379e5f1d63e1fb325644903cc3199a5e61da1bb733011d0d748ff9f

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:59.155464Z digest=sha256:534412c0f9b79d877b41df3f67179efc281933c1ec93fc1abad4996a0b12219f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:59.283143Z digest=sha256:e7f734122054fb8781e8c348afc79bd0a7f87ea46e60e72aa90ae6038b4ac3bd

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.

source=pdf_text observed=2026-08-05T05:47:59.416076Z digest=sha256:b12517069d715985c811ebf45264422f675f11774fc88b0bc5eddcf183b3aca9

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:59.576170Z digest=sha256:204fb199ad26e6bd8e9c97ebd5524c592de296ed33cdc5d2d3a127f41a8f7768

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.

source=pdf_text observed=2026-08-05T05:47:59.634443Z digest=sha256:c7c73ad81b722758a498bdb319171a774b12ff14c3ddaa9a313af983f89708e8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:59.767839Z digest=sha256:a12fb356f0f0c3c2df23693fde2781ef84a34c6df60a2d4eb7038aee9bec9e70

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:47:59.924974Z digest=sha256:562ef52cd1e58c2f857ef185df82fcd84fc64328a5d5af2582fd04d67404329e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.091464Z digest=sha256:d4638bc266c28a34978442d28e03d58473a8c1437ea9b2e66f3ad8afe6d1c97f

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.248159Z digest=sha256:f5f4bfa88ea13fadd0a5c01b6c3f6390e4e17651b1693c6a5e1d8e6040dbafda

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.396340Z digest=sha256:31063bf6a6bb43b41d0fe463fbb8860de332ad8257639933cef62ddedf78db6b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.517982Z digest=sha256:b3bc1294810172c0434cd4898d8fb371f112eb4bb4d694931a827f934ab5870d

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.699125Z digest=sha256:a9641ecbfc8e463f0bd88f8924df35a61188cdbaa7af0f2eb2b151f5ed2e4f00

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:48:00.832688Z digest=sha256:a378b3e2bc5445d9458726e2c39c5db8bafe480bcdc2755e687356d55b72ab8c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:00.966182Z digest=sha256:8594dc5a50e7e148d4aec4cb474a769941131d4d502bdc07f99d2de011b732fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.077631Z digest=sha256:66a99c0c283bc7cad212ac29dbb0950fdf0af1659528a7d1c567480e4c50ff52

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.212765Z digest=sha256:75181eec3813214bb6183bd457e9234ab7ad0facc4b59a69c892eea46ee0a491

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.341581Z digest=sha256:ae742a573175224ec4cb1262840a93bf4c20d588b365b1767a3ffefde06cc08a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.470636Z digest=sha256:f9bbd8ccb8e3e62c548ab95381d52f47d0f49477a9ea701465bae3380f0e3f43

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.622183Z digest=sha256:65e8f5781c6ca1e6096738471181f708697d304f50489b2209e143d0a9e7b8a1

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.768724Z digest=sha256:b219d7ed64ce50c8f8112d222e433dd0db8046951e6f17aebd3a6b72113cd645

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.902549Z digest=sha256:8a0655f0796f7e1f6fb6f91e08c57c9e5cf105817b897cb66f4926cd8074ef6b

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T05:48:01.998868Z digest=sha256:b8473d61b92a7a826b100b710fbfbb9f1bb8291f825b8c9fb32d5733721ebdbf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-21T21:35:49.327231Z digest=sha256:ce064bed8f599632a3a36048bf90ec7e71bd604c03a506c8b5379ea6680a2ed5

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T17:58:14.428438Z digest=sha256:a11f11545c79024b0c81d1f903dcc58e13fb892ab35495a5a6d069f1d06ac8d8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T21:43:39.755614Z digest=sha256:629c080c8f74bb03ce5f579338b859ed24d5f78e9710e5ed9e30c3623e141365