TAPS : Frustratingly Simple Test Time Active Learning for VLMs | Paper Citation Record

Observation b377b24f-eb72-4983-a5cb-1295b39421e0 · outbound

This paper cites Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:29.020039Z

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Observation c0c079e4-798c-4695-a509-0b18bb66dbd3 · outbound

This paper cites Active prompt learning in vision language models.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active prompt learning in vision language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:28.816442Z

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Observation 3db6cb66-c6fe-4822-bcac-5f2fbaf92a68 · outbound

This paper cites Food-101–mining discriminative compo- nents with random forests.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Food-101–mining discriminative compo- nents with random forests

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:28.545913Z

Source-reported events for the cited work

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Observation 8eff9fb1-43b8-4486-97e8-ffd0f76af136 · outbound

This paper cites Describing textures in the wild.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Describing textures in the wild

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:28.128288Z

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Observation bbcd98b0-820e-4968-b1c0-ecdb8f190986 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Imagenet: A large-scale hierarchi- cal image database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:27.852709Z

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Observation 128c2a2d-9fae-49eb-9aa0-b3db7e6ee689 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:11.288383Z

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Observation 30968219-4c6d-40b6-98cd-d1d512d22c2a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:11.322593Z

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Observation 7dbf61f2-fb3e-4d9b-b0f7-52138ab08c94 · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 ob- ject categories.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 ob- ject categories

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:27.577373Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69cdd656-8c2b-477e-a295-e79ba726b29a · outbound

This paper cites Improved baselines for vision-language pre-training.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Improved baselines for vision-language pre-training

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:58:16.459417Z

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Observation 8a2eb9c0-9596-4b00-9312-16c365a181ae · outbound

This paper cites Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

Reference 10

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Observation 7887eac0-e444-472f-b88e-3c6aac79eeca · outbound

This paper cites Deep residual learning for image recognition.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Deep residual learning for image recognition

Reference 11

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa5dc4fc-1bfa-48da-a42b-44400ac51557 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover clas- sification.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Eurosat: A novel dataset and deep learning benchmark for land use and land cover clas- sification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:27.128940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d2d6a5f-15c0-467f-a30a-a8dbe9159687 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs The many faces of robustness: A critical analysis of out- of-distribution generalization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:26.884000Z

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Observation 9ff9cd7d-26ff-4a4e-9870-224cca5a6153 · outbound

This paper cites Natural adversarial ex- amples.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Natural adversarial ex- amples

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:26.666542Z

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Observation c19c83d4-8949-41ac-b912-6acb12248f19 · outbound

This paper cites Entropy-based active learning for object recognition.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Entropy-based active learning for object recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:26.396801Z

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Observation 53a26261-53d5-4bc0-a4f1-452d829173db · outbound

This paper cites Maple: Multi-modal prompt learning.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Maple: Multi-modal prompt learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:26.162222Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4cd0aa5-0f37-49e0-bba7-a436e538d9fa · outbound

This paper cites Salad: Source-free active label-agnostic do- main adaptation for classification, segmentation and detection, 2022.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Salad: Source-free active label-agnostic do- main adaptation for classification, segmentation and detection, 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:25.939759Z

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Observation 10ad735b-4151-4899-a7ea-4faa0a0b86da · outbound

This paper cites 3d object representations for fine-grained cate- gorization.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs 3d object representations for fine-grained cate- gorization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:25.672046Z

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Observation c7e40817-ca60-4f73-a907-f74f6981fddc · outbound

This paper cites Heterogeneous un- certainty sampling for supervised learning.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Heterogeneous un- certainty sampling for supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:25.426628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7857527-b134-4f99-9e32-35a8580507e3 · outbound

This paper cites Blip: Bootstrapping language-image pre-training 9 for unified vision-language understanding and genera- tion.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Blip: Bootstrapping language-image pre-training 9 for unified vision-language understanding and genera- tion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:25.128788Z

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Observation 67d7c45e-818b-485f-922f-2347f6660ba2 · outbound

This paper cites A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

Reference 21

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Observation 7d2b9c8e-ff8d-4d0b-8714-0f66b9b5557c · outbound

This paper cites A compre- hensive survey on test-time adaptation under distribu- tion shifts.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs A compre- hensive survey on test-time adaptation under distribu- tion shifts

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3134652-9e53-412b-b44e-5e93a55f78a6 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Fine-Grained Visual Classification of Aircraft

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:12.580789Z

Source-reported events for the cited work

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Observation 89b82b46-2aff-4f4c-b132-eb183933a1e1 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:12.680831Z

Source-reported events for the cited work

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Observation c9ab1532-9bbd-4f60-86df-c59a2fd76e91 · outbound

This paper cites Au- tomated flower classification over a large number of classes.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Au- tomated flower classification over a large number of classes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:24.643109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5e6ea16-09c0-4aeb-8afe-2b7541e725e7 · outbound

This paper cites Cats and dogs.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Cats and dogs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:24.457784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b40734fa-cb7a-4dfa-bfe6-afbeb11a5f4b · outbound

This paper cites Active learning by feature mixing.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active learning by feature mixing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:24.302393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad8a8cac-40de-489e-8d98-07f44b7b8622 · outbound

This paper cites Active domain adaptation via clustering uncertainty-weighted embeddings.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active domain adaptation via clustering uncertainty-weighted embeddings

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:24.120736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe3cd786-682d-4a47-bd5a-2798332ebb76 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Learning transferable visual models from natural language supervision

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:23.969892Z

Source-reported events for the cited work

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Observation 4e6dae91-16e2-4d88-9dd5-c045bd07442e · outbound

This paper cites Do imagenet classifiers gen- eralize to imagenet? In International conference on machine learning, pages 5389–5400.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Do imagenet classifiers gen- eralize to imagenet? In International conference on machine learning, pages 5389–5400

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:23.715060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b302eeb-4e71-4f3f-9e1f-06d0154c7121 · outbound

This paper cites A survey of deep active learning.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs A survey of deep active learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:23.438729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9881bb30-8d73-4d62-8ee3-8d6551f3a7bd · outbound

This paper cites Margin-based active learning for structured output spaces.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Margin-based active learning for structured output spaces

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:23.173761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e6f5c97-38ea-4808-92dd-cc465f9a2cd9 · outbound

This paper cites an unresolved cited work.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:58:22.954277Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af048913-f37f-49cb-b1c2-e842d0308933 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Improving robustness against common corruptions by covariate shift adaptation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:22.592383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fbc00de6-e4d8-4424-881e-1c5422565b12 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:13.763941Z

Source-reported events for the cited work

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Observation 4cb42f1d-bb15-425a-a8d6-f1c314f90d7b · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Test-time prompt tuning for zero-shot general- ization in vision-language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:22.290094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e295553e-f8b0-46dd-b313-3f4508ab3f43 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:13.970986Z

Source-reported events for the cited work

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Observation 47c34744-dc68-4003-9fc9-cf6895a4a511 · outbound

This paper cites Deep coral: Correla- tion alignment for deep domain adaptation, 2016.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Deep coral: Correla- tion alignment for deep domain adaptation, 2016

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:22.066711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1f9c169-0e45-4326-a80f-3a1ce4ebec88 · outbound

This paper cites Vpa: Fully test-time visual prompt adaptation.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Vpa: Fully test-time visual prompt adaptation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:21.907659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c1487c2-d925-4aeb-8488-4ba568430248 · outbound

This paper cites Test-time training with self-supervision for generalization under distri- bution shifts.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Test-time training with self-supervision for generalization under distri- bution shifts

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:21.615888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2d688e1-2102-432c-80f6-88a32ace45a1 · outbound

This paper cites Attention is all you need.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Attention is all you need

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:21.478246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c8f87ed-899e-48ad-ac4b-9dd12c0277c8 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:14.350158Z

Source-reported events for the cited work

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Observation cfcfc350-99a1-40c4-b3ef-e3e1df56650a · outbound

This paper cites Active source free domain adaptation, 2022.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active source free domain adaptation, 2022

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:21.217254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51768d88-7c67-4405-8ef8-bcf7931dfb6e · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in Neural Information Processing Systems, 32, 2019.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Learning robust global representations by penalizing local predictive power.Advances in Neural Information Processing Systems, 32, 2019

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:20.977285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6eca4ef-20a4-4428-88d2-55f3d4e960ae · outbound

This paper cites Position-guided text prompt for vision-language pre-training.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Position-guided text prompt for vision-language pre-training

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:20.695622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b58afce-0874-440c-a2c7-77156ceb06fe · outbound

This paper cites Active learning us- ing uncertainty information.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active learning us- ing uncertainty information

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:20.379173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e072f56-2026-4c54-be7f-5cddaacba3d3 · outbound

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

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Robust test-time adaptation in dynamic scenarios

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:20.000488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1da0031-e8e7-4c87-aea0-ec360b2f50d2 · outbound

This paper cites Central moment discrepancy (cmd) for domain-invariant representation learning, 2019.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Central moment discrepancy (cmd) for domain-invariant representation learning, 2019

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:19.722046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dcd31108-fb5a-4f79-b8dc-3e8885b2068d · outbound

This paper cites A Comparative Survey of Deep Active Learning.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs A Comparative Survey of Deep Active Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:14.983531Z

Source-reported events for the cited work

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Observation 475ad72a-6a30-490b-8529-bffc701c2520 · outbound

This paper cites Memo: Test time robustness via adaptation and aug- mentation.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Memo: Test time robustness via adaptation and aug- mentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:19.534395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65815c8c-2f76-4204-a4d1-07601173aefc · outbound

This paper cites Conditional prompt learning for vision- language models.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Conditional prompt learning for vision- language models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:19.275924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb5b6da4-264a-4e66-a6fa-4cea8fcf694c · outbound

This paper cites Learning to prompt for vision-language models.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Learning to prompt for vision-language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:19.051434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9ccb9e7-0dbc-4af2-a18c-8cbbfe77309b · outbound

This paper cites Active Learning In active learning, we have an unlabelled dataset Du.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active Learning In active learning, we have an unlabelled dataset Du

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:18.759587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b70ff9a8-9ce0-4c89-814e-37f006e72ce2 · outbound

This paper cites Active Learning Active Learning promotes label efficiency by imposing a label budget.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Active Learning Active Learning promotes label efficiency by imposing a label budget

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:18.594476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 707d1e0b-0736-45a0-99ec-dc95b478bdda · outbound

This paper cites In domain generalization, we evaluate on four out-of-distribution (OOD) variants of ImageNet [5]; ImageNet-Sketch [44],ImageNet-A [14], ImageNet-V2.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs In domain generalization, we evaluate on four out-of-distribution (OOD) variants of ImageNet [5]; ImageNet-Sketch [44],ImageNet-A [14], ImageNet-V2

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:18.336421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 239cfbb7-50e4-43df-9579-0534859703fa · outbound

This paper cites For cross-dataset transfer, we try on 10 image classification datasets which cover a wide variety of visual recognition tasks.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs For cross-dataset transfer, we try on 10 image classification datasets which cover a wide variety of visual recognition tasks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:18.027114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 318cacc6-7691-4cf0-a2c0-039adb280f69 · outbound

This paper cites an unresolved cited work.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:58:17.756107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0c75f98-39ca-402f-b14c-5b0398d01005 · outbound

This paper cites Implementation Details.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Implementation Details

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:17.513410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df6605f9-330a-45c7-916b-912c66345b51 · outbound

This paper cites MaPLe [16] is a multi-modal prompt learn- ing baseline, which adapts CLIP by learning deep prompts on both the text and vision branches.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs MaPLe [16] is a multi-modal prompt learn- ing baseline, which adapts CLIP by learning deep prompts on both the text and vision branches

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:17.267170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c060219c-80e4-4a04-8481-2cdff944c54b · outbound

This paper cites an unresolved cited work.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Unresolved cited work

Reference 60

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T13:58:17.100000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8aa55b33-e962-4526-88a4-444b4c8d3d12 · outbound

This paper cites Class Balance in Buffer Our policy is to first fill the buffer, not caring about the class of the image added.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Class Balance in Buffer Our policy is to first fill the buffer, not caring about the class of the image added

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:16.896069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68c37d0b-8f7c-4a6e-b1b5-ed1ce5f0a99a · outbound

This paper cites 5% regime.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs 5% regime

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:58:16.662767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers