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Paper Citation Record · LEDGER

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2508.01225.

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

pith.paper-citation-record.v1
2508.01225 v2

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:46:32.312024Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact9
  • verified fuzzy43
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22fa6396-83ee-4773-b9c4-c8c9a4ff5679 · outbound

This paper cites write newline.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models write newline

Reference 1

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T05:46:32.029565Z digest=sha256:a9718c4321ea1b7ab986219ceb8b975a9fca00d629402248896d26af447df975

Observation e5dc9d18-76b7-4775-9984-a3887c0735c2 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization

Reference 2

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 97e9c35c-b097-464a-9ad0-6b202723ecc5 · outbound

This paper cites Dpa: Dual prototypes alignment for unsupervised adaptation of vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Dpa: Dual prototypes alignment for unsupervised adaptation of vision-language models

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 57822feb-419c-4b63-8adb-f9a40eddd7cb · outbound

This paper cites Food-101--mining discriminative components with random forests.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Food-101--mining discriminative components with random forests

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4c81c213-17af-4ef3-af96-4d38c1e48717 · outbound

This paper cites Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bc55afde-b573-4c70-aabb-9eda235e00ab · outbound

This paper cites Describing textures in the wild.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Describing textures in the wild

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e3641f26-c0d2-4559-9dc9-a2135f6dfac5 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3df8d724-02b4-47e0-bb81-2339e2e4d24a · outbound

This paper cites Learning to prompt for open-vocabulary object detection with vision-language model.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning to prompt for open-vocabulary object detection with vision-language model

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 63289751-34e3-44da-958c-6f41a3263845 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.060300Z digest=sha256:fbb60237138b88d2f35b67e37cf4a42c8901baff30e843d468b3663b8d9d02d3

Observation c54e37b3-a3fc-4be1-9e31-cac8ced2c9a8 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.063609Z digest=sha256:5d815e7c6266132c1fcf02d3842157b139a0869789648abf2c8a463a9d03156e

Observation 072f70f7-6106-4ee6-b358-8356a4d8ddcd · outbound

This paper cites Khan, and Wangmeng Zuo.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Khan, and Wangmeng Zuo

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.067385Z digest=sha256:33f56c6e0c5e8a216108587f420aacf884235a86ae805426246b7838e17299b7

Observation 5dc6467c-833c-448e-8426-44c1fed8f72b · outbound

This paper cites Adapter merging with centroid prototype mapping for scalable class-incremental learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Adapter merging with centroid prototype mapping for scalable class-incremental learning

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.070665Z digest=sha256:a403c2b1859c92dd2a19cc94d34c40c029b5d3d7abef768da12898e4c1cc12e9

Observation dc6a84ea-0f14-4cd1-9aa7-66c5e7923e6c · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Clip-adapter: Better vision-language models with feature adapters

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.074090Z digest=sha256:ef1daa31db9ea2810b4ffc5cbc0606cb3bc9d26bbf1ec00a7cfb57a660bcfef1

Observation 1edf48d1-8f87-4872-b305-faa97b20c772 · outbound

This paper cites Queryable prototype multiple instance learning with vision-language models for incremental whole slide image classification.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Queryable prototype multiple instance learning with vision-language models for incremental whole slide image classification

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.077569Z digest=sha256:cfea8be2ff1f06088916019e2aa8d6edfb7fc729c99234d912ec263f6d68146c

Observation b3c55728-5447-406e-b96a-d0032df28dd4 · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Open-vocabulary object detection via vision and language knowledge distillation

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.081160Z digest=sha256:8a149f6e5b3e1444860827646ddfeab0c1f3c60b85ace8e9dee588b5740b2789

Observation 770a26b3-1dd6-4980-a3b4-7da607aeafd3 · outbound

This paper cites Huang, and Shi-Min Hu.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Huang, and Shi-Min Hu

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 274f8624-92a4-4ffa-98d3-2c5454a751f7 · outbound

This paper cites Ranked Entropy Minimization for Continual Test-Time Adaptation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Ranked Entropy Minimization for Continual Test-Time Adaptation

Reference 17

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no resolver link, observed 2026-08-06T05:46:32.088296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a78677f-4cf0-40f7-aef0-4d7ae40547f1 · outbound

This paper cites Point-tta: Test-time adaptation for point cloud registration using multitask meta-auxiliary learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Point-tta: Test-time adaptation for point cloud registration using multitask meta-auxiliary learning

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d205a4f5-a360-4e4e-849e-2ca0cc48dffb · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c852298-20b0-4719-9da0-a8929e3d6cb9 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 42e7a5a5-3cd9-4eaa-a600-d7a15c346c90 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.102913Z digest=sha256:00a3683f30a6249e83dc631d482984e98e5a29f2cdc080cf4c3be9ce91ac4c78

Observation 5f651cf4-eae6-481a-9059-9dde9d55db7e · outbound

This paper cites Natural adversarial examples.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Natural adversarial examples

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ee90338e-8766-4242-8cd5-09fdd567e526 · outbound

This paper cites Scaling up vision-language pretraining for image captioning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Scaling up vision-language pretraining for image captioning

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.109828Z digest=sha256:338546aa8da4bbf48b03e8eebd95e0cde3bca006550f81cc13b0ba8a63184e01

Observation 1bd1bb0b-0a77-43ab-8a9d-64ebe19dd355 · outbound

This paper cites Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.113176Z digest=sha256:f26b6408ac36a98ab4a8e8de75f5a9ff5ba2c0f1fa369f20c57f9f744da955c6

Observation 972a4e97-c828-4b55-b5a4-852cdfe9c36d · outbound

This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fc3981a1-b591-4c82-b8ad-d957ab3a60f6 · outbound

This paper cites Few-shot object detection via feature reweighting.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Few-shot object detection via feature reweighting

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f81cc1d5-840e-4e42-9ae7-8dc52c57ad9e · outbound

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Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.123577Z digest=sha256:9ddf5e0bc0bcc749aec152c8c94bbc1ff8e95762ebeffe3042aa4555dec75924

Observation d570e990-6172-4265-8bc1-f5b2d760af1f · outbound

This paper cites Khan, and Fahad Shahbaz Khan.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Khan, and Fahad Shahbaz Khan

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.126802Z digest=sha256:fed89df505f1cecb5f80de74911a768339865f06e60b8a492df3e9806d0fb3ec

Observation 1e5636c7-2b2b-47bf-9ca9-45cfbf01fead · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models 3d object representations for fine-grained categorization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:33.020407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.130108Z digest=sha256:ec88925bb8e514f45dd58e9c6b75d38bf2e9d276327cb1ac058c55bc190f3553

Observation db01d278-53a4-4d29-9081-c45288167cf8 · outbound

This paper cites Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.133314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.133314Z digest=sha256:b6d79b46b324172a539719ee47b5505e984efab1b3b0f308b76c0ff15ceaab8c

Observation a73be666-3a5c-4e11-b876-e58aca289840 · outbound

This paper cites Dpu: Dynamic prototype updating for multimodal out-of-distribution detection.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Dpu: Dynamic prototype updating for multimodal out-of-distribution detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:33.008117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.136743Z digest=sha256:ba8ac2f605b2b31741cc9dcaa66ba67df6384d3d6aafb39d1d91f06a6c91eab3

Observation 01da3fdc-46e5-47cd-aa05-6007a774c55b · outbound

This paper cites Promptkd: Unsupervised prompt distillation for vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Promptkd: Unsupervised prompt distillation for vision-language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.995892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.140026Z digest=sha256:6c3a1365e43dfa9e505bdf0abb176745ab4f3dd033a9b7f266488b4acca7409a

Observation e87baa48-4fc8-4b49-aaa9-60a79a4c1e0d · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models A comprehensive survey on test-time adaptation under distribution shifts

Reference 33

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no resolver link, observed 2026-08-06T05:46:32.143276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.143276Z digest=sha256:973a4f725c87438b04bc4fa5fe755818fb306d6fe09aa985cc4bfa5f49f0c63f

Observation 88584197-5741-413d-aa0a-50e475c004b9 · outbound

This paper cites Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.671342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.146449Z digest=sha256:526242016f0bcd05ab2aa2dff9d080f535c2e5a4266fb991ce2c920d94b258fe

Observation 91bf670f-bce6-4652-90e3-20f31677b143 · outbound

This paper cites Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation

Reference 35

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verified exact
local_arxiv, observed 2026-08-06T05:46:32.655258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.150239Z digest=sha256:e095f8674e42b9ccc56079ddeae58691e54ecfb7a9cd740607a922ba05f0783e

Observation c50a8507-60ab-4467-9c1a-c37e3e0e409d · outbound

This paper cites Learning with Mixture of Prototypes for Out-of-Distribution Detection.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning with Mixture of Prototypes for Out-of-Distribution Detection

Reference 36

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unresolved
no resolver link, observed 2026-08-06T05:46:32.154250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.154250Z digest=sha256:cc9a68d9350221fa4c884dcb7357b447600e2ebaa2eea4435ab771c509121256

Observation 0b2848de-7893-4628-bbe9-fdbfa6f0dd57 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.158008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.158008Z digest=sha256:440153f421dcd4b545662d5bd20305358722387f874c07ada2f873649dd85787

Observation 7bfdaf00-342f-443a-a8e6-a11e893615f8 · outbound

This paper cites Black-box test-time prompt tuning for vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Black-box test-time prompt tuning for vision-language models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.976421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.161403Z digest=sha256:5c778cfe898e0fc708583b2f0324029295684244c3f1f8d8f1c0bca4834e403c

Observation 58d65caa-332d-4c28-bca1-0a8e44095b76 · outbound

This paper cites Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.620822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.164631Z digest=sha256:b54fd39573d6efe28ee9a7aa983179750787377c1f986b22a4bd5206ffb7a6e2

Observation de3ba7b2-cbe4-4597-8d9c-c62f858d147a · outbound

This paper cites Automated flower classification over a large number of classes.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Automated flower classification over a large number of classes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.963791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.168305Z digest=sha256:e1b70815d352f6f081d049b6074213d29d7afe61cbcde767459534f92310b079

Observation c7e654dd-b5d0-490b-89e7-acde16f98099 · outbound

This paper cites Proto-clip: Vision-language prototypical network for few-shot learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Proto-clip: Vision-language prototypical network for few-shot learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.951326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.171643Z digest=sha256:3390882a9d922c75b0907908d5edf062f68042d6c2dfab026a058ad78bd61895

Observation 56f086f9-ded6-49ea-b766-2b3e75cc63b9 · outbound

This paper cites an unresolved cited work.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:46:32.938577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.175224Z digest=sha256:65a49d6eddcfadaf3d7a6bef46d693965940bbaf6840cf912a44250e66e20a6f

Observation 61175348-1f8d-440e-aa2c-36f87f9c839a · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.926291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.178980Z digest=sha256:7966d1d5f43e404ff697a65cba1970e1689570b0ec131c86f43d68ae79a4c8fd

Observation 0e9e456c-e9fd-4324-94ed-6d51846499e1 · outbound

This paper cites Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.182173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.182173Z digest=sha256:dba00188061db61eabaeedc4ac556fbada60a9f8e3646e37089516242b1f83e8

Observation 66588149-311d-4d5d-825d-9fa5da80cc49 · outbound

This paper cites Learning Clustering-based Prototypes for Compositional Zero-shot Learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.185679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.185679Z digest=sha256:4fbeba192de2eed9260f5afa88c844f1add44c004e7fcad2a65703ddeb34197d

Observation 4785b463-208e-453b-bd24-3f402cea8be6 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning transferable visual models from natural language supervision

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.189180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.189180Z digest=sha256:94617b815b61e9f2d8f8f894e97f58900b95dc8a84f9daff0703712822cc75f6

Observation 224e49ab-1099-47d7-9c46-2028e90c7e5c · outbound

This paper cites icarl: Incremental classifier and representation learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models icarl: Incremental classifier and representation learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.908706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.192756Z digest=sha256:9fede7a3b38cdcb17ac046113b97a731baebe7acd09d6fe8aeca5e90327bfe5b

Observation acc90942-eb06-4705-a745-c3e1932264cb · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pages 5389--5400.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pages 5389--5400

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.196258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.196258Z digest=sha256:4cf6e3fef5b833d88780f016c755a3e50a40b862ea0e86d7044387e4cd2d8662

Observation 72b00809-23ae-426f-86c5-6cb5d0cc834c · outbound

This paper cites One-shot learning for semantic segmentation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models One-shot learning for semantic segmentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.891260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.199548Z digest=sha256:8a95f0b3cbc2576816759d6605b153dfb517f91da973696dde3efe2c9e87e407

Observation f77af7e5-c6d6-4491-9681-3970f6e80fd8 · outbound

This paper cites R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.587279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.202937Z digest=sha256:9c9b198b47b086f6bb63ad211e823ec592aaed01fe38ca3fef7217b00d7499c4

Observation c337bbc0-ab82-472c-bbb6-150a4f7e10cc · outbound

This paper cites Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.206746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.206746Z digest=sha256:38e7f7c9b69248e919bc3620c041412ca7b49205649b5acb2979b0529fb95d5a

Observation 02b8bee4-8950-40a3-8858-7daefeed4b01 · outbound

This paper cites Prototypical networks for few-shot learning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Prototypical networks for few-shot learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.210504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.210504Z digest=sha256:73db9505795b496dd71681ddb5d01c8ddadedc6c0920dd983e3e2342b4c8af61

Observation acff71a3-a5cc-484b-ab44-8cb8b71c8291 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.213839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.213839Z digest=sha256:90daaf789d5b4172296276e52ed9d90e3d4a8ec473723a73ab183862e5c48257

Observation f3664812-3d43-40f2-9c1e-56d4c43e1564 · outbound

This paper cites Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.217329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.217329Z digest=sha256:b07787bb3aaaad5f0deeff969bf9d48c5fc451927ff662b7c398ede12f095ee1

Observation 3a5340b9-baa0-4289-b4f5-f2553fc77b52 · outbound

This paper cites Point-cache: Test-time dynamic and hierarchical cache for robust and generalizable point cloud analysis.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Point-cache: Test-time dynamic and hierarchical cache for robust and generalizable point cloud analysis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.873885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.220924Z digest=sha256:04a030de2683fc390537b702d142cc2f97f93d411507af6c0dc28eb12aa39208

Observation 383491c4-63a9-45e9-a613-ac783eb42e71 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Representation Learning with Contrastive Predictive Coding

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.224600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.224600Z digest=sha256:908c1438977d7b4c3d800b518ac51e9a6a9f2ad9271c6181f524bb6171832d92

Observation 7fdaf66f-156e-4354-ba60-1975456d3cda · outbound

This paper cites Attention is all you need.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Attention is all you need

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.228454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.228454Z digest=sha256:8440b9c34aca9f683d5d59a19e62e6ff890e7e6637ad8e32345a63c97fb80d59

Observation 7344bde5-5f6b-42a4-913d-643b61da47ea · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.231846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.231846Z digest=sha256:cdbf6943f735072288694ed0c6cfa4bc037fbbd5386f45f8a4001b1f1190bd69

Observation 420c4bcf-f715-4271-8d13-80c026219202 · outbound

This paper cites Ctpt: Continual test-time prompt tuning for vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Ctpt: Continual test-time prompt tuning for vision-language models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.856721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.235775Z digest=sha256:6b52c54b6e263dc26f2b8d09a0185f9e81aba8fe4b64de50ca72cb410e7b7b94

Observation a2e2df17-b518-44b6-bbca-9d074f72435b · outbound

This paper cites Learning robust global representations by penalizing local predictive power.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning robust global representations by penalizing local predictive power

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.846364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.238912Z digest=sha256:34f6fecee8f810d068f9f117d76d679a4ef87c082dbbb1277d6892521d177e71

Observation 3d0551a4-b3af-4f88-bade-5f0982d0cc01 · outbound

This paper cites Learning robust global representations by penalizing local predictive power.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning robust global representations by penalizing local predictive power

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.834957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.241931Z digest=sha256:8d06c6196e8f4837817d6bfa67ef86b59959e4ab2c129daa2b221fd2c0c2a551

Observation deabfa66-e0d5-4191-8073-daa2994e692f · outbound

This paper cites Deep visual domain adaptation: A survey.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Deep visual domain adaptation: A survey

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.823289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.246085Z digest=sha256:f722c463302a26c7dfcdd7b3c1a18bef5ebb7cfbf2663b1c6d69e89ace043797

Observation 0e0582cc-44ca-4bb7-9c89-25ea18ee59fe · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.813065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.249312Z digest=sha256:2f5449fbb6d350b619771179bf73bbc9828fb7fc49d54b946b71d9c275828d7a

Observation 88c75fb7-aa2c-44b4-a8ad-acfb19c41064 · outbound

This paper cites Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul M.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul M

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.802710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.252615Z digest=sha256:8ec6dbacda10234dfc0321b87c8c329a07998d4aed0ef6681718fe72477fb2e9

Observation 2e942e99-aea2-4464-acd8-0b8b17909cda · outbound

This paper cites C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.255963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.255963Z digest=sha256:ffb1794ceadfbb8cbac0f842047b80c3551cd5e3d9c30641d55d4acdbeaaadbd

Observation e73fe529-c715-4313-8dbe-0bfc05aaf2b6 · outbound

This paper cites Task residual for tuning vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Task residual for tuning vision-language models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.792595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.259371Z digest=sha256:30ac74cfe55f9e0eaf1d5b504f3d6da9bf70b768488748e6ced44aa51cee6542

Observation 285c82f3-6c22-40a1-b36c-d48b5968d4f4 · outbound

This paper cites Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.263088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.263088Z digest=sha256:f2f744deb7b85e4b6329af118c0a62420429c3f7a53f74ec8fff59cb39a6e345

Observation 9d92611c-1bf8-4107-b1bb-98df5eea49e2 · outbound

This paper cites Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.266544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.266544Z digest=sha256:5ec65ca17eb82df7383ae2a6ecf32443f830ff0f79bfcec55855e3bb7bde1940

Observation 249b91bb-5a81-4cbb-9414-87639e981cda · outbound

This paper cites Sycara, and Yaqi Xie.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Sycara, and Yaqi Xie

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.781843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.270126Z digest=sha256:e3f92c539b394ea140582ff0f54997ec832b96ce0380c8ce4e36f173cb59453b

Observation e4ecd247-fc3b-4448-b74c-de491c795126 · outbound

This paper cites Historical Test-time Prompt Tuning for Vision Foundation Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Historical Test-time Prompt Tuning for Vision Foundation Models

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.497166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.273370Z digest=sha256:f80b2600dcb9d87650acf0d25c00521ec94975469491214a186593b0b47943e9

Observation 051cb293-f5c9-4113-996b-adb1f26203b6 · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Memo: Test time robustness via adaptation and augmentation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.771202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.276720Z digest=sha256:64676e08cf2264bd6defe5d54e949ecb77de11ba88b3d78cd80f7ce0765fb41a

Observation efb6f400-10fc-494c-b126-5f0cd2893000 · outbound

This paper cites Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.280080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.280080Z digest=sha256:a7f20d932dcf2f9fcd1943997d2f6668c4fbea5ed92d04c5bd3d1734a8bbe490

Observation 7cd8a72c-bf13-48f5-8d48-eeafe56e47c6 · outbound

This paper cites BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.283611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.283611Z digest=sha256:28b678b8b38f54efc62988d5ea84618b17742549256284555bf4125383fdcc1a

Observation 776f35a1-d2e5-4067-8fd9-b138478a1493 · outbound

This paper cites Adanpc: Exploring non-parametric classifier for test-time adaptation.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Adanpc: Exploring non-parametric classifier for test-time adaptation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.760741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.287183Z digest=sha256:4453c1c87a8181a2835c9dde5f244844de2d55a27d78035624f8cc3e0e53aa45

Observation f369c21d-ebff-4299-bbc4-095754b7000b · outbound

This paper cites Unsupervised prototype adapter for vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Unsupervised prototype adapter for vision-language models

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.749855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.290610Z digest=sha256:f9687f7d15264338ee98bc8b32d49556fd69e25164e58fa4a0df1e250412c65f

Observation 94302da5-d0f0-4006-af71-219a272a9bf8 · outbound

This paper cites NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.464127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.293793Z digest=sha256:4ab617d723f55fc567b8c36d52aee84ac70e628d0efcbb124e7aff7b5ae4c527

Observation 8a19fa93-33ae-410f-a338-95dc0eda8537 · outbound

This paper cites Concept-Guided Prompt Learning for Generalization in Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:46:32.447942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.297597Z digest=sha256:bb9d9be3341f9edb1af671068cca18c6e31e4b5d49c2f32030004ef704786042

Observation 82874f72-6417-4d81-905d-0d47a6077739 · outbound

This paper cites Dual memory networks: A versatile adaptation approach for vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Dual memory networks: A versatile adaptation approach for vision-language models

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.738951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.301222Z digest=sha256:aa28023932c5502b03c3331e864206a3711db30dedc3f3fde0cf20c8274faeeb

Observation 16c9008d-5f1a-42dc-af68-f0f4afeee43b · outbound

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

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Learning to prompt for vision-language models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:46:32.727784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.304470Z digest=sha256:690bc1a19d31c2a9264f15afed89b0c3d87b4d87970cb146879a76f2530e43d6

Observation c94552b9-ea8d-44ab-944a-f929cb16010e · outbound

This paper cites Dynamic multimodal prototype learning in vision-language models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Dynamic multimodal prototype learning in vision-language models

Reference 80

Resolution
verified exact
raw_fallback, observed 2026-08-06T05:46:32.432652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T05:46:32.307689Z digest=sha256:f6680e31ca69d80c1dcb68c75317849f248113f541b9e5265a38d5452b8cfecb

Observation 4aaabf6c-4248-4f81-8be1-6f8ea632a24b · outbound

This paper cites Efficient Test-Time Prompt Tuning for Vision-Language Models.

Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models Efficient Test-Time Prompt Tuning for Vision-Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:32.312024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:32.312024Z digest=sha256:e6430bdee646d964bf9ff793af6e0b2bbe258b03b2015d5f1c0ad44d290abb24

Pith citing papers

No inbound Pith citation observations are available.