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Paper Citation Record · LEDGER

Vocabulary-free few-shot learning for Vision-Language Models

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.04005.

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pith.paper-citation-record.v1
2506.04005 v1

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measured 41 of 41 reference resolution

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Outbound references

Observation cf88d92c-dc57-43a4-b176-a34a2913bdae · outbound

This paper cites k-Means Clustering Is Matrix Factorization.

Vocabulary-free few-shot learning for Vision-Language Models k-Means Clustering Is Matrix Factorization

Reference 1

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Vocabulary-free few-shot learning for Vision-Language Models Food-101–mining discriminative components with random forests

Reference 2

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This paper cites Lasp: Text-to- text optimization for language-aware soft prompting of vi- sion & language models.

Vocabulary-free few-shot learning for Vision-Language Models Lasp: Text-to- text optimization for language-aware soft prompting of vi- sion & language models

Reference 3

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Vocabulary-free few-shot learning for Vision-Language Models Bayesian-guided label mapping for visual reprogram- ming

Reference 4

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This paper cites Understanding and improving visual prompt- ing: A label-mapping perspective.

Vocabulary-free few-shot learning for Vision-Language Models Understanding and improving visual prompt- ing: A label-mapping perspective

Reference 5

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Vocabulary-free few-shot learning for Vision-Language Models Plot: Prompt learning with optimal transport for vision-language models

Reference 6

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This paper cites Describing textures in the wild.

Vocabulary-free few-shot learning for Vision-Language Models Describing textures in the wild

Reference 7

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This paper cites V ocabulary-free image classification.

Vocabulary-free few-shot learning for Vision-Language Models V ocabulary-free image classification

Reference 8

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This paper cites Vocabulary-free Image Classification and Semantic Segmentation.

Vocabulary-free few-shot learning for Vision-Language Models Vocabulary-free Image Classification and Semantic Segmentation

Reference 9

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Vocabulary-free few-shot learning for Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 10

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Vocabulary-free few-shot learning for Vision-Language Models Bayesian Prompt Learning for Image-Language Model Generalization

Reference 11

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Vocabulary-free few-shot learning for Vision-Language Models Adversarial Reprogramming of Neural Networks

Reference 12

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

Vocabulary-free few-shot learning for Vision-Language Models Learning gener- ative visual models from few training examples: An incre- mental bayesian approach tested on 101 object categories

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Vocabulary-free few-shot learning for Vision-Language Models Clip-adapter: Better vision-language models with feature adapters

Reference 14

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Vocabulary-free few-shot learning for Vision-Language Models Tikhonov regularization and total least squares

Reference 15

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Vocabulary-free few-shot learning for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 16

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Vocabulary-free few-shot learning for Vision-Language Models Maple: Multi-modal prompt learning

Reference 17

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Vocabulary-free few-shot learning for Vision-Language Models Self-regulating prompts: Foundational model adaptation without forgetting

Reference 18

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Vocabulary-free few-shot learning for Vision-Language Models 3d object representations for fine-grained categorization

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Vocabulary-free few-shot learning for Vision-Language Models Retrieval augmented clas- sification for long-tail visual recognition

Reference 20

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Vocabulary-free few-shot learning for Vision-Language Models Prompt distribution learning

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Vocabulary-free few-shot learning for Vision-Language Models Fine-Grained Visual Classification of Aircraft

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Vocabulary-free few-shot learning for Vision-Language Models Wordnet: a lexical database for english

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Vocabulary-free few-shot learning for Vision-Language Models Automated flower classification over a large number of classes

Reference 24

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Vocabulary-free few-shot learning for Vision-Language Models Cats and dogs

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Vocabulary-free few-shot learning for Vision-Language Models Learning transferable visual models from natural language supervi- sion

Reference 26

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Vocabulary-free few-shot learning for Vision-Language Models Laion-5b: An open large-scale dataset for training next generation image-text models

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Vocabulary-free few-shot learning for Vision-Language Models Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

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Vocabulary-free few-shot learning for Vision-Language Models Flava: A foundational language and vision alignment model

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Vocabulary-free few-shot learning for Vision-Language Models Prototypical networks for few-shot learning

Reference 30

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Vocabulary-free few-shot learning for Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 31

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Vocabulary-free few-shot learning for Vision-Language Models Yfcc100m: The new data in multimedia research

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Vocabulary-free few-shot learning for Vision-Language Models Transfer learning without knowing: Reprogramming black-box ma- chine learning models with scarce data and limited resources

Reference 33

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Vocabulary-free few-shot learning for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

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Vocabulary-free few-shot learning for Vision-Language Models Visual- language prompt tuning with knowledge-guided context op- timization

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Vocabulary-free few-shot learning for Vision-Language Models Task residual for tuning vision-language models

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Observation 040716b7-8740-4846-bca7-d1ba2e3b79b7 · outbound

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

Vocabulary-free few-shot learning for Vision-Language Models Low-rank few-shot adaptation of vision-language models

Reference 37

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Observation f1003d53-b18d-4e16-a9eb-bfcf96044109 · outbound

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

Vocabulary-free few-shot learning for Vision-Language Models Tip- adapter: Training-free adaption of clip for few-shot classifi- cation

Reference 38

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Observation de0396f6-5e20-494e-8782-e3f986fc3f02 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

Vocabulary-free few-shot learning for Vision-Language Models Conditional prompt learning for vision-language mod- els

Reference 39

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Observation 2d8bd7f4-2ac8-45d5-ba12-e253dfdc265b · outbound

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

Vocabulary-free few-shot learning for Vision-Language Models Learning to prompt for vision-language models

Reference 40

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Observation cd6477aa-27e0-4595-b88b-c19325375fc4 · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

Vocabulary-free few-shot learning for Vision-Language Models Prompt-aligned gradient for prompt tuning

Reference 41

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