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Paper Citation Record · LEDGER

Test-time Alignment-Enhanced Adapter for Vision-Language Models

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2411.15735.

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

pith.paper-citation-record.v1
2411.15735 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:01:03.741366Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:17:07.355857Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:17:13.799020Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f08db507-ae75-49c3-963d-f5955904e6a8 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Tent: Fully test-time adaptation by entropy minimization,

Reference 1

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Observation 46c49f65-5b71-4736-97cf-c8f6ffe35ce8 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 2

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Observation 2e5ff6c4-6f14-41bd-a645-0021c18b6300 · outbound

This paper cites Delving into out-of- distribution detection with vision-language representations,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Delving into out-of- distribution detection with vision-language representations,

Reference 3

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Observation af9d8b3a-160a-4de5-906a-0b838fcb0bae · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Zegclip: Towards adapting clip for zero-shot semantic segmentation,

Reference 4

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Observation 0a7052bb-ab3a-4a7a-b0f2-01a71f2f9988 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Test-time prompt tuning for zero-shot generalization in vision-language models,

Reference 5

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Observation 8a0479df-7901-4996-bdb2-76b6ab36e820 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning,

Reference 6

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Observation db942817-1d2e-411e-b453-bb4c500ed33b · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Efficient test-time adaptation of vision-language models,

Reference 7

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Observation e87d1ded-e2d9-48ce-a88b-694c7b1ed8c8 · outbound

This paper cites Attention is all you need,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Attention is all you need,

Reference 8

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Observation 20db518e-459f-41fc-a038-cad76c9c4501 · outbound

This paper cites Reducing domain gap by reducing style bias,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Reducing domain gap by reducing style bias,

Reference 9

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Observation 3046b4c5-72aa-4f2d-b00e-ba19543476b2 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Clip-adapter: Better vision-language models with feature adapters,

Reference 10

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Observation a2d6e9af-d5aa-4555-bf10-f14d8bbb093a · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 11

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Observation 230723c3-bde8-4d6d-a611-01da2decf356 · outbound

This paper cites Meta-adapter: An online few-shot learner for vision-language model,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Meta-adapter: An online few-shot learner for vision-language model,

Reference 12

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Observation dd086116-0609-4746-bce5-ec75237b3c0c · outbound

This paper cites Sam-adapter: Adapting segment anything in underperformed scenes,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Sam-adapter: Adapting segment anything in underperformed scenes,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7f4f5155-cb4b-4593-9846-475fd9a5c50f · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text- to-image diffusion models,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models T2i- adapter: Learning adapters to dig out more controllable ability for text- to-image diffusion models,

Reference 14

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Observation 0531b097-0e24-482b-b584-11acb00ceb86 · outbound

This paper cites On the effectiveness of adapter-based tuning for pretrained language model adaptation,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models On the effectiveness of adapter-based tuning for pretrained language model adaptation,

Reference 15

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Observation 003ad52b-c0ce-4957-bb1a-678968847919 · outbound

This paper cites Non-local neural net- works,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Non-local neural net- works,

Reference 16

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Observation 83101b7d-5b0c-4b27-8397-d79055b07963 · outbound

This paper cites Deep hdr imaging via a non-local network,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Deep hdr imaging via a non-local network,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6f61b317-bd42-4ee4-9ff6-ecf38de3518e · outbound

This paper cites Gcnet: Non-local networks meet squeeze-excitation networks and beyond,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Gcnet: Non-local networks meet squeeze-excitation networks and beyond,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0e8cca97-369e-4138-a6f5-d74e375a0a13 · outbound

This paper cites Decoupled weight decay regularization,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Decoupled weight decay regularization,

Reference 19

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Observation 25eee1ad-353f-4e83-849e-1db87ab7297e · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Imagenet: A large-scale hierarchical image database,

Reference 20

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Observation 85dd4266-d250-4185-b535-2d5d8c56290f · outbound

This paper cites Natural adversarial examples,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Natural adversarial examples,

Reference 21

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Observation 02883d40-5108-4480-b74b-e2ee57fe6d3e · outbound

This paper cites Do imagenet clas- sifiers generalize to imagenet?.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Do imagenet clas- sifiers generalize to imagenet?

Reference 22

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Observation aeba4a97-0d7b-49be-992d-549b8a235b23 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 23

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Observation 064fcb73-0169-4a6d-bed3-c3dab959fe2d · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Learning robust global representations by penalizing local predictive power,

Reference 24

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Observation 556defe0-2b13-4f4a-93b6-12d3e07bb07a · outbound

This paper cites Cats and dogs,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Cats and dogs,

Reference 25

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Observation 636bdf8d-ca92-47a0-a2ae-34be77b27e49 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classi- fication,

Reference 26

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Observation 01b18169-c001-4db4-934f-3817804b37b5 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 27

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Observation 46a677d3-5584-4d37-9f69-019c88ad1cf0 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 28

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Observation 7177a570-5f34-4bcf-b037-388250ac2c3a · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 29

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Observation f3142568-87b5-40ae-8b2d-f333139d967c · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models 3d object representations for fine-grained categorization,

Reference 30

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Observation 6025d7ab-d41c-4d0a-ad23-10d484180af4 · outbound

This paper cites Describing textures in the wild,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Describing textures in the wild,

Reference 31

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Observation 251f7b29-3466-4b20-838d-3bc810010434 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Automated flower classification over a large number of classes,

Reference 32

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Observation 89090f0e-3a9d-424a-af1b-a1a5587273fa · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Food-101–mining discriminative components with random forests,

Reference 33

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Observation afbd4f95-131e-416c-b3d4-505e2383a710 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo,

Reference 34

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Observation 332bbe8a-9c9c-480e-ab37-b8bc2f0b948b · outbound

This paper cites Deep residual learning for image recognition,.

Test-time Alignment-Enhanced Adapter for Vision-Language Models Deep residual learning for image recognition,

Reference 35

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Observation 42e04e59-a9c3-40fd-b9df-2b42970bf6a9 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 36

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Observation 30c2ab1b-efe1-4df5-a171-3c490a9fef98 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Learning to prompt for vision- language models,

Reference 37

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Observation 9d2dbec9-d3ec-4146-ad3b-df2327a46a98 · outbound

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

Test-time Alignment-Enhanced Adapter for Vision-Language Models Conditional prompt learning for vision-language models,

Reference 38

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Pith citing papers

Observation cb684f1f-ed82-4bb9-bf15-2a5b600d5309 · inbound

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

Adapting Vision-Language Models Without Labels: A Comprehensive Survey Test-time Alignment-Enhanced Adapter for Vision-Language Models

Reference 221

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