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Paper Citation Record · LEDGER

Online Gaussian Test-Time Adaptation of Vision-Language Models

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2501.04352.

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

pith.paper-citation-record.v1
2501.04352 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:39.130389Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:17:07.190391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:31:52.201533Z

Reference resolution

33 of 33 outbound references displayed

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  • verified fuzzy16
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External citation measurements

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Outbound references

Observation d069dfd5-7c60-475a-adb1-825e2e609b7f · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Food-101–mining discriminative components with random forests

Reference 1

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Observation 65540c17-9cff-4482-a491-dc18ec2efb55 · outbound

This paper cites Describing textures in the wild.

Online Gaussian Test-Time Adaptation of Vision-Language Models Describing textures in the wild

Reference 2

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Observation ffa9d62f-ad92-4a67-81f6-361738bdd6cc · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 3

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Observation 61e778f6-84f1-478d-b306-48a0844312e4 · outbound

This paper cites Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories.

Online Gaussian Test-Time Adaptation of Vision-Language Models Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories

Reference 4

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Observation 53ecd646-9237-469b-8079-fbc938bdfdaf · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Clip-adapter: Better vision-language models with feature adapters

Reference 5

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Observation 11d5c461-61fb-4713-88e5-535acc2263d7 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 6

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Observation 7b9dcb77-6d56-48a7-913c-b7a988408864 · outbound

This paper cites Unsupervised Prompt Learning for Vision-Language Models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Unsupervised Prompt Learning for Vision-Language Models

Reference 7

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Observation fafcbb5e-2938-4ff8-b686-11147093fd03 · outbound

This paper cites Label propagation for zero-shot classification with vision-language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Label propagation for zero-shot classification with vision-language models

Reference 8

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Observation 7ed3506d-27c6-4d26-81cb-254815591831 · outbound

This paper cites Efficient test-time adaptation of vision-language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Efficient test-time adaptation of vision-language models

Reference 9

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Observation 1aa2739d-79ef-43bd-b4b8-5fc4c4d9b0ec · outbound

This paper cites Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification.

Online Gaussian Test-Time Adaptation of Vision-Language Models Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification

Reference 10

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Observation 0939ef0f-fb43-49e0-9fcd-05bd38def005 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models 3d object representations for fine-grained categorization

Reference 11

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Observation fbe599cc-029b-4add-a2e0-87c8da96f739 · outbound

This paper cites Estimation of the precision matrix of a singular wishart distribution and its ap- plication in high-dimensional data.

Online Gaussian Test-Time Adaptation of Vision-Language Models Estimation of the precision matrix of a singular wishart distribution and its ap- plication in high-dimensional data

Reference 12

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Observation 43eb51a2-a4f5-41c1-8add-edb0433c3bb9 · outbound

This paper cites Swapprompt: Test-time prompt adaptation for vision- language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Swapprompt: Test-time prompt adaptation for vision- language models

Reference 13

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Observation f68d42aa-c26e-445f-ba14-79c1de60588a · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Online Gaussian Test-Time Adaptation of Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 14

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Observation b466477a-7642-47c5-bcfe-bcdeea90c07d · outbound

This paper cites Transductive zero-shot and few-shot clip.

Online Gaussian Test-Time Adaptation of Vision-Language Models Transductive zero-shot and few-shot clip

Reference 15

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Observation 8e51e8d5-c741-4427-9c27-c9bfcbcc0353 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Automated flower classification over a large number of classes

Reference 16

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Observation 0eba79e7-b634-4263-8f49-27ba09210fe6 · outbound

This paper cites Black box few-shot adaptation for vision- language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Black box few-shot adaptation for vision- language models

Reference 17

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Observation 5ad76234-b3a3-46e2-8d35-9ab358d1b92b · outbound

This paper cites Cats and dogs.

Online Gaussian Test-Time Adaptation of Vision-Language Models Cats and dogs

Reference 18

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Observation 28e58572-2cb9-4d35-abd7-333900fb3d81 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Online Gaussian Test-Time Adaptation of Vision-Language Models Learning transferable visual models from natural language supervi- sion

Reference 19

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Observation eef18686-0c7e-4b76-8e30-ccab3fb5d8a6 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Test- time prompt tuning for zero-shot generalization in vision- language models

Reference 20

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Observation ddc98233-7271-40d9-9a06-99f55275ccb0 · outbound

This paper cites A closer look at the few-shot adaptation of large vision-language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models A closer look at the few-shot adaptation of large vision-language models

Reference 21

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Source-reported events for the cited work

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Observation 1898e9f0-4af4-43bf-93b4-681a2c09729e · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 22

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Observation dded3e49-7120-425c-9f3d-04c19fb2e28b · outbound

This paper cites A hard-to-beat baseline for training- free clip-based adaptation.

Online Gaussian Test-Time Adaptation of Vision-Language Models A hard-to-beat baseline for training- free clip-based adaptation

Reference 23

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Observation 309a1dd8-b2bb-414d-b40b-e699961ab3f3 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

Reference 24

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Observation 3519e8e7-9aaa-4e46-ac5d-f0947b71669d · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Task residual for tuning vision-language models

Reference 25

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Source-reported events for the cited work

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Observation a0a99775-3f9f-4391-b2e3-fa7fd25a8c6b · outbound

This paper cites Low-rank few-shot adaptation of vision-language models.

Online Gaussian Test-Time Adaptation of Vision-Language Models Low-rank few-shot adaptation of vision-language models

Reference 26

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Source-reported events for the cited work

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Observation 60f91644-743f-460e-9d04-573edd64a7b5 · outbound

This paper cites an unresolved cited work.

Online Gaussian Test-Time Adaptation of Vision-Language Models Unresolved cited work

Reference 27

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Observation 7dff9ccd-fcd8-471c-b448-2d58b68de27c · outbound

This paper cites Boost- ing vision-language models with transduction.

Online Gaussian Test-Time Adaptation of Vision-Language Models Boost- ing vision-language models with transduction

Reference 28

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Observation 8f3c4d3b-6bd3-4af3-86ea-5f61948406e3 · outbound

This paper cites Boosting vision-language mod- els for histopathology classification: Predict all at once.

Online Gaussian Test-Time Adaptation of Vision-Language Models Boosting vision-language mod- els for histopathology classification: Predict all at once

Reference 29

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verified fuzzy
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Source-reported events for the cited work

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Observation 399a4f99-8f06-4a79-9406-1b54a526e393 · outbound

This paper cites Tip- adapter: Training-free adaption of clip for few-shot classi- fication.

Online Gaussian Test-Time Adaptation of Vision-Language Models Tip- adapter: Training-free adaption of clip for few-shot classi- fication

Reference 30

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Source-reported events for the cited work

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Observation 8b1f3310-ef69-4a79-b242-34ed2d351e9b · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Dual memory networks: A versa- tile adaptation approach for vision-language models

Reference 31

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verified fuzzy
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Source-reported events for the cited work

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Observation 62473dcb-45c2-4c40-89b2-b27767df6c68 · outbound

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

Online Gaussian Test-Time Adaptation of Vision-Language Models Learning to prompt for vision-language models

Reference 32

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Observation faa48b53-199c-45e0-a6b7-2f733aa7069b · outbound

This paper cites Prompts We show the handcrafted prompts used in the relevant experiments in Table 7.

Online Gaussian Test-Time Adaptation of Vision-Language Models Prompts We show the handcrafted prompts used in the relevant experiments in Table 7

Reference 2022

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Pith citing papers

Observation 1409818e-504b-493e-8257-775394b48e17 · inbound

Adapting Vision-Language Models Without Labels: A Comprehensive Survey cites this paper.

Adapting Vision-Language Models Without Labels: A Comprehensive Survey Online Gaussian Test-Time Adaptation of Vision-Language Models

Reference 205

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Observation 2694e7e9-c4ca-4b2c-886c-dd0c199cc657 · inbound

Clustering-based aggregate value regression cites this paper.

Clustering-based aggregate value regression Online Gaussian Test-Time Adaptation of Vision-Language Models

Reference 10

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Observation a2073b22-ce72-4f3f-9c9c-57dc11e71db6 · inbound

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment cites this paper.

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment Online Gaussian Test-Time Adaptation of Vision-Language Models

Reference 10

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