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Paper Citation Record · LEDGER

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis

As of 8 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 3 inbound Pith citation observations for arXiv:2507.08607.

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

pith.paper-citation-record.v1
2507.08607 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:20:45.909176Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:17:08.144655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.356250Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact1
  • verified fuzzy59
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f10f4df-45e1-4473-a04b-1e05852dc9b6 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Learning transferable visual models from natural language supervision,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bc5b21ec-9c18-46c1-ad8c-216b87bc2c2e · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 2

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no resolver link, observed 2026-08-06T18:20:45.640982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81bc4f62-23df-4242-99b7-cfc5034f7db0 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 3

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Source-reported events for the cited work

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Observation cc6578da-a071-4ffd-b6ee-7fc984fe8227 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 4

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no resolver link, observed 2026-08-06T18:20:45.648709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9f2d28e2-d4a4-4922-85af-48ce6c6c9b25 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Learning to prompt for vision- language models,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7280226-f8d4-429b-aee2-b5a27f4801db · outbound

This paper cites Vision-language models for vision tasks: A survey,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Vision-language models for vision tasks: A survey,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3952b6af-cc37-4849-92bc-ee77c5351173 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Tent: Fully test-time adaptation by entropy minimization,

Reference 7

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Unavailable: canonical work link unavailable.

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Observation c30e81ea-6845-4681-aa8f-7b527d4f04ae · outbound

This paper cites Continual test-time domain adaptation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Continual test-time domain adaptation,

Reference 8

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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 2026-08-07T06:34:17.273281+00:00.

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Observation af1c021b-f8ea-4365-a754-bc522a0744b5 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Towards stable test-time adaptation in dynamic wild world,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cd961b34-a614-470b-84b0-fc4ab15b1661 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Robust test-time adaptation in dynamic scenarios,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bd0a49cb-20e9-4466-af16-0f518b4f0964 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Uncertainty-calibrated test-time model adaptation without forgetting,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation db07e219-8054-40c7-a5db-b599f0a61a14 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis A comprehensive survey on test-time adaptation under distribution shifts,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ee7a9732-6b86-44e3-8226-ad4720af24ab · outbound

This paper cites Historical test- time prompt tuning for vision foundation models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Historical test- time prompt tuning for vision foundation models,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.679628Z digest=sha256:0bfd952029ae12cd2f9e47556141144f976270543a6c690cce2c4d51bfa2671f

Observation e55fd415-db34-44b7-8a6f-8d9c9422ba97 · outbound

This paper cites Dynaprompt: Dynamic test-time prompt tuning,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Dynaprompt: Dynamic test-time prompt tuning,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0fa435c-7479-42f4-bd2e-1ca30fcae5a5 · outbound

This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Benchmarking neural network ro- bustness to common corruptions and perturbations,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 27ad8b9a-ade0-4547-ab83-93f23716956d · outbound

This paper cites Chemical gas sensor drift compensation using classifier ensembles,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Chemical gas sensor drift compensation using classifier ensembles,

Reference 16

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Source-reported events for the cited work

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Observation 89e25260-f880-4252-81bd-c1e42673451f · outbound

This paper cites Continuous manifold based adaptation for evolving visual domains,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Continuous manifold based adaptation for evolving visual domains,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b115aff5-290d-426e-9360-be447383d649 · outbound

This paper cites Wild- time: A benchmark of in-the-wild distribution shift over time,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Wild- time: A benchmark of in-the-wild distribution shift over time,

Reference 18

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Source-reported events for the cited work

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Observation 80a60caf-ea84-4777-af6b-cf4b6de04c3d · outbound

This paper cites Evolving standardization for continual domain generalization over temporal drift,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Evolving standardization for continual domain generalization over temporal drift,

Reference 19

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Source-reported events for the cited work

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Observation 464e5357-c1ae-4534-afc4-772581c2df43 · outbound

This paper cites Foresee what you will learn: data augmentation for domain generalization in non- stationary environment,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Foresee what you will learn: data augmentation for domain generalization in non- stationary environment,

Reference 20

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Source-reported events for the cited work

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Observation 2a6f6cbe-3fa2-4d64-bd56-5ca57b7fb0e0 · outbound

This paper cites an unresolved cited work.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3870b773-7d0a-49d7-a30c-c22860b29717 · outbound

This paper cites Learning multiple layers of features from tiny images,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Learning multiple layers of features from tiny images,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9c1b7ec6-716f-438d-b652-c6504a20294b · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Efficient test-time adaptation of vision-language models,

Reference 23

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Source-reported events for the cited work

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Observation 212e2bfa-bbb8-419d-ba6f-8d805078789c · outbound

This paper cites Hastie, R.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Hastie, R

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 79ca9441-447b-4145-bff1-ec4a2ac6cd9b · outbound

This paper cites an unresolved cited work.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-06T18:20:46.691025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 17728005-ba0e-4277-98e7-516fc98b9fc0 · outbound

This paper cites an unresolved cited work.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cdc97c19-9e0e-4ad8-bdf6-75e353f1a289 · outbound

This paper cites A general distribution theory for a class of likelihood criteria,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis A general distribution theory for a class of likelihood criteria,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c18323f1-a365-4cdc-b03b-1f4f63f4dbfe · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis A hard- to-beat baseline for training-free clip-based adaptation,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 07c49e7f-e484-47fd-a34a-93c6d07e4e13 · outbound

This paper cites Dota: Distributional test-time adaptation of vision-language models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Dota: Distributional test-time adaptation of vision-language models,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4045b320-6ccf-4a2d-86ba-7f2200a0f83c · outbound

This paper cites Free on the fly: Enhancing flexibility in test-time adaptation with online em,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Free on the fly: Enhancing flexibility in test-time adaptation with online em,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 012a7f70-927d-4f35-bcf9-ea9cf39a28c1 · outbound

This paper cites Cris: Clip-driven referring image segmentation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Cris: Clip-driven referring image segmentation,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 74c630bf-09c5-4cfa-a714-6cdf5e326653 · outbound

This paper cites Zegclip: Towards adapting clip for zero-shot semantic segmentation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Zegclip: Towards adapting clip for zero-shot semantic segmentation,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:45.737774Z digest=sha256:f59a97bfc20fc2b63070b26f383491834503d4e85aaa110fb2ef20799697f337

Observation 49dfc04c-64af-458f-8dec-740220c53fd0 · outbound

This paper cites Actionclip: Adapting language-image pretrained models for video action recognition,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Actionclip: Adapting language-image pretrained models for video action recognition,

Reference 33

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raw_fallback, observed 2026-08-06T18:20:46.628558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.740501Z digest=sha256:bc217eff1e9cfe50448b25f2b30c521f69a307d2a0a6ce90fac268b210983534

Observation 0a7669f4-c72d-4d06-b7dd-b3c8aa124376 · outbound

This paper cites Clip-guided prototype modulating for few-shot action recognition,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Clip-guided prototype modulating for few-shot action recognition,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.619302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.743501Z digest=sha256:742f83437c20619d3811e83d38bf591b5f193798fd369ca24e49f40a3421fdbf

Observation 76997acd-2956-4893-be9e-fa807292d97d · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Conditional prompt learning for vision-language models,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.609767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.747462Z digest=sha256:1631305af41e6ea113101988e3e2949a90162f3ef3e9d63057f6cfcfafb5a696

Observation 7ece1d60-d82c-47f6-bd74-c8a6473696dd · outbound

This paper cites Maple: Multi-modal prompt learning,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Maple: Multi-modal prompt learning,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:45.750965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:45.750965Z digest=sha256:c939b7211ab2bbb21883b4fa927f822f3dafd6509a583f8e493f0064616d53ba

Observation e8941ecf-f0f6-4a9c-ad3e-a04426a52bca · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Clip-adapter: Better vision-language models with feature adapters,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.595201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.754351Z digest=sha256:73f7283ef17a7ff82742bd24400d6b4a5d8516291952c8b0dfc8791c1d37b7ba

Observation c0f3ca72-8824-4639-8d21-ca6fb3f9d929 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.585386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.757576Z digest=sha256:79b063a5c06dafe329a035b37bafdea08fe67ebf479aea4b0696c5b3fdf7b755

Observation 6b946546-082b-405b-9ffd-5367ababf5f8 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Delta: Degradation-free fully test- time adaptation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.574931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.760407Z digest=sha256:0f1fb31b44a0453a3de7cf8af248fd97bdbcae21f24b7713d7984685f23cc6ac

Observation 6ef009f7-05b9-442a-96d4-04edcb96e636 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Memo: Test time robustness via adaptation and augmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.563975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.763289Z digest=sha256:5d6edfd3ac77e96f40587f24bfd09366a0be1cafda1954ed2cf0d6e23fec0664

Observation be79748c-d098-43bb-824e-e9806b9be64e · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Ef- ficient test-time model adaptation without forgetting,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.555024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.766588Z digest=sha256:566e5f8674a4c7e21f1df29c485b3704de81e277cfa7ae7f88e16d11b3efe2ac

Observation e63dfaaa-dae8-4f95-ba29-835bb6082f83 · outbound

This paper cites Domainadaptor: A novel approach to test-time adaptation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Domainadaptor: A novel approach to test-time adaptation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.545150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.769393Z digest=sha256:e3eae0b75042a4ed50088ff652f44e0178801ac1c872da1bcd95479233943101

Observation 8b03c25c-90aa-49a2-b614-da690da0f0af · outbound

This paper cites Test time adaptation for blind image quality assessment,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Test time adaptation for blind image quality assessment,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.534425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.772185Z digest=sha256:13f177ca3613bffdb0fa155e63666aca1be5e1413d23804afe7a09ca54048ee8

Observation 66c487ad-c55d-4580-a709-179bdba30c51 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Entropy is not enough for test-time adaptation: From the perspective of disentangled factors,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.524562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.775465Z digest=sha256:4fe47de2baebfe36d120349c002689db8d639325997653b003310cb1d219a84d

Observation 929a8b70-24ff-4c8a-a58a-23b6179dfffa · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Test-time prompt tuning for zero-shot generalization in vision-language models,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:45.778362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:45.778362Z digest=sha256:499ca9dfc87601800794fdba444fa003b884ef3bbc03975c931f3ef9404fa588

Observation 6e92cd0a-0238-47c2-b749-bf0bf0c99941 · outbound

This paper cites Robust test-time adaptation for zero-shot prompt tuning,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Robust test-time adaptation for zero-shot prompt tuning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.509998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.781272Z digest=sha256:d69d95a624bf9fd1d26f270bcd04ecbf75146fcce512bfa690f3ac8d4627a31d

Observation 8a482726-4c22-47f2-bb90-4d68b44ba5d9 · outbound

This paper cites Towards robustness prompt tuning with fully test-time adaptation for clip’s zero-shot generalization,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Towards robustness prompt tuning with fully test-time adaptation for clip’s zero-shot generalization,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.501261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.784228Z digest=sha256:b8c8d31d68f0baf848f7c56d2b1d8d5ada0caf00a486ea00b274f83f895ec93c

Observation 953b8e89-ca27-4aec-9fb5-9f0b29a4b7a9 · outbound

This paper cites W ATT: Weight average test time adaptation of CLIP,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis W ATT: Weight average test time adaptation of CLIP,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.492147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.787765Z digest=sha256:47702894fb363aeeddea29cf724a7b6efcd0b0f1f49d645f6bc268695de62db4

Observation 9ec67b6f-48b5-494b-8a0c-230170854e88 · outbound

This paper cites Dual prototype evolving for test-time generalization of vision-language models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Dual prototype evolving for test-time generalization of vision-language models,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.483509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.791159Z digest=sha256:25c192773f8cb9496360663e16664721a18ccf6e8158f5bdd89dd24bce61f909

Observation 4493b146-5a33-445a-8127-8c3f2399fdde · outbound

This paper cites Bayesian test-time adaptation for vision-language models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Bayesian test-time adaptation for vision-language models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.474903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.794073Z digest=sha256:2585b19d6a69d71f69caa9b4517b2f020fb8d7b3397fe01219392eb179b70374

Observation b032b1ac-fda8-48ad-989f-729675b845dd · outbound

This paper cites Robust mean teacher for continual and gradual test-time adaptation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Robust mean teacher for continual and gradual test-time adaptation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.464765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.797088Z digest=sha256:5ba886e9deeda8dfe5f813cba45a0c374856c9ed5f35c701fc574bb5309104d2

Observation ad3d3c12-27a3-460c-a0c1-d4254e2734e3 · outbound

This paper cites Decorate the newcomers: Visual domain prompt for continual test time adaptation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Decorate the newcomers: Visual domain prompt for continual test time adaptation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.455489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.800180Z digest=sha256:74c42dfd8e4d31e40dd3ae3a64593dfc357fe4d473d9deebbceda9690f95c6a6

Observation f21e8c90-6e63-4bb6-a8f5-1865d36df78f · outbound

This paper cites Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.445993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.803483Z digest=sha256:ded24b0122d25d6011ad3f95ce491fb9f909b4233a70e67679ac51fcc91701f0

Observation 3fbb40b2-a5cc-4c90-9d7c-f00928be6c53 · outbound

This paper cites ViDA: Homeostatic visual domain adapter for continual test time adaptation,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis ViDA: Homeostatic visual domain adapter for continual test time adaptation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.436765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.807293Z digest=sha256:53c27358ce97d43bd49a38f4b4b6468f3c33471efa4abe810a2b0f7c6b0aeda7

Observation 4de3eadd-f57e-458b-bb9b-51d1328741d8 · outbound

This paper cites DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:20:45.972891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.810114Z digest=sha256:7b57ad973c4c31e8b1ec774cd29e32d62aa8d8761ceb3dfe10cef99259f15d91

Observation f013f6b5-61af-4b8e-b4a4-2b7bebfc3aa8 · outbound

This paper cites Training for the future: A simple gradient interpolation loss to generalize along time,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Training for the future: A simple gradient interpolation loss to generalize along time,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.427638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.813422Z digest=sha256:aa83c94312d86c8b0846bc93787f86c241a8242891332744827c1b75a7c29266

Observation 89833ace-d414-4db6-a446-e42e60d6173c · outbound

This paper cites Temporal domain generalization with drift-aware dynamic neural networks,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Temporal domain generalization with drift-aware dynamic neural networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.417602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.816406Z digest=sha256:dce0cb021526d37b0a2c231e3b8ac40278cf00a1c5edc6c37628de63f9f6f398

Observation 8883183f-b90d-4346-83a9-cb812ddc3835 · outbound

This paper cites Generalizing to evolving domains with latent structure-aware sequential autoencoder,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Generalizing to evolving domains with latent structure-aware sequential autoencoder,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.408375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.819602Z digest=sha256:f5ca77c1d9ad969b67b7400ff55fc2d31da9ad324331c679895919905814e577

Observation fc81dff6-f4c3-4271-842f-e18ab5028993 · outbound

This paper cites Enhancing evolving domain generalization through dynamic latent representations,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Enhancing evolving domain generalization through dynamic latent representations,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.397946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.823028Z digest=sha256:6f513dab6125eadcf46cf83f79646e7fe6632cc79eaeeed269532eff4aa430bf

Observation 162ce19c-1ab8-4cf2-bed3-abb5b1cfd0ba · outbound

This paper cites Latent trajectory learning for limited timestamps under distribution shift over time,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Latent trajectory learning for limited timestamps under distribution shift over time,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.386618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.826725Z digest=sha256:79639583d53d64050a26fca4cd054da5f13894ed4be84c9c297ea37afaca33c0

Observation cbbc097f-258b-48be-989c-455b42ca993f · outbound

This paper cites Weight diffusion for future: Learn to generalize in non-stationary environments,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Weight diffusion for future: Learn to generalize in non-stationary environments,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.373998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.829557Z digest=sha256:569f6d496412b5ac35fe28d1575f7c02704f6eb3918f835824ad361b1aa6ef00

Observation ff2be883-7452-4ce4-9f2e-7153177ed050 · outbound

This paper cites Kullback, Information theory and statistics.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Kullback, Information theory and statistics

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.363247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.833005Z digest=sha256:f58334399cec30e5eac815969cfbff989ef5215ad9d86e5dd4de54a2ad57b6cf

Observation e5ff9911-8cca-477b-9a01-9b2272d67ffa · outbound

This paper cites An extension of box’s results on the use of the f distribution in multivariate analysis,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis An extension of box’s results on the use of the f distribution in multivariate analysis,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.353267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.836641Z digest=sha256:833ff1f313976f90f15b1ddf4566a94410d2af2cc35fb6a04ffb018ae2f4e1d9

Observation 65f57a3f-bb07-4e19-b29c-20e88e069223 · outbound

This paper cites On-line expectation–maximization algo- rithm for latent data models,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis On-line expectation–maximization algo- rithm for latent data models,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.342997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.840186Z digest=sha256:205ff0ef0c665058ece5e431792112ca963117f62a09e2693c7e2cbe7b96e10c

Observation b20291af-6823-43b5-a9ae-5afa419d5ee0 · outbound

This paper cites A generalized inverse for matrices,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis A generalized inverse for matrices,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.333319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:20:45.843402Z digest=sha256:64523624b40676f0ec2ff418d00ca80800e7a0c81c428127316547681a03b416

Observation 20596efe-d223-455b-bb8c-3ccaf08250c7 · outbound

This paper cites Layer Normalization.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Layer Normalization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:45.846376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:45.846376Z digest=sha256:085aec036098234834e46469b6009071203eb7563e5eb25da5481a0af12cd3ac

Observation e43add21-f218-4683-82ed-6f30b7591fb6 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T18:20:45.849931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:20:45.849931Z digest=sha256:95df2b7f33641e4f67926ace6e27f636c821c1a8acc2bc08e99e59587a990c2d

Observation c49d1be8-31c5-4e7d-93c5-882ce25b0542 · outbound

This paper cites Acceleration of stochastic approxima- tion by averaging,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Acceleration of stochastic approxima- tion by averaging,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:20:46.316465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1c7321e2-6677-4035-a9e0-c014d20c6eb0 · outbound

This paper cites A century of portraits: A visual historical record of american high school yearbooks,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis A century of portraits: A visual historical record of american high school yearbooks,

Reference 69

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1e711980-23ef-4891-8c8f-0b74a33737a0 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web],.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis The mnist database of handwritten digit images for machine learning research [best of the web],

Reference 70

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation adac7ecb-0570-4b27-8a8d-a9486d1ed4fb · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Fine-Grained Visual Classification of Aircraft

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26f9b0e5-6397-4f2e-b086-1ed6efdfbf9a · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 72

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e9af4d67-3a61-48a4-a427-6f201697c6e2 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis 3d object representations for fine-grained categorization,

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04974955-4260-4c70-8b82-fc07f5d81d2f · outbound

This paper cites Describing textures in the wild,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Describing textures in the wild,

Reference 74

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 03f4fc41-ec78-4ad5-8cdb-0586e6c559bf · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classi- fication,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Eurosat: A novel dataset and deep learning benchmark for land use and land cover classi- fication,

Reference 75

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58389985-d34d-4f8f-8694-355c1deb17a0 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Automated flower classification over a large number of classes,

Reference 76

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af696640-f422-43f2-a309-1aaccb2344af · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Food-101–mining discriminative components with random forests,

Reference 77

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 04d355b0-a683-49c7-8c91-7f3a13835f69 · outbound

This paper cites Cats and dogs,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Cats and dogs,

Reference 78

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 526121d0-1fed-4d15-b469-35c224bebe39 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Sun database: Large-scale scene recognition from abbey to zoo,

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09ea1f4f-9f43-4e24-99f0-1d8cf72261c8 · outbound

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

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 80

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fce6a6d4-1780-4792-8ac1-a9cf9dd080a5 · outbound

This paper cites Deep residual learning for image recognition,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Deep residual learning for image recognition,

Reference 81

Resolution
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Source-reported events for the cited work

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Observation 6f5bc204-d46d-4695-b4c5-dc9cdf2778f2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1cb58bb7-cfb2-4abd-8e77-47f1ecdd18b1 · outbound

This paper cites Attention is all you need,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Attention is all you need,

Reference 83

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Source-reported events for the cited work

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Observation 172c4dc1-1753-4090-bb4c-face80640710 · outbound

This paper cites Visualizing data using t-sne.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Visualizing data using t-sne

Reference 84

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ffcb759d-bb7b-40cc-a3c2-d88119e10663 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 85

Resolution
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Source-reported events for the cited work

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Observation 190f45f7-d1e5-4726-a240-9caab38e8ce4 · outbound

This paper cites With extensive experience in optical simulation calculations and optical software devel- opment, she has actively engaged in research and development in this field.

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis With extensive experience in optical simulation calculations and optical software devel- opment, she has actively engaged in research and development in this field

Reference 2013

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

Observation 02c2a612-0605-4c1e-b630-d5b55bf1d749 · inbound

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

Adapting Vision-Language Models Without Labels: A Comprehensive Survey BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis

Reference 230

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35986ad6-7e1e-4d47-8cd4-1786fcce3cb2 · inbound

Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration cites this paper.

Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis

Reference 5

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Source-reported events for the cited work

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Observation 44594ec8-5d58-415d-80bd-67243993324b · inbound

ComMem: Complementary Memory Systems for Test-Time Adaptation of Vision-Language Models cites this paper.

ComMem: Complementary Memory Systems for Test-Time Adaptation of Vision-Language Models BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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