Paper Citation Record · LEDGER

Attribute-based Visual Reprogramming for Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 2 inbound Pith citation observations for arXiv:2501.13982.

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

pith.paper-citation-record.v1
2501.13982 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:14:32.628702Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:19:43.980185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:16.615506Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7a06f67-8c4e-42ca-8c75-597133138b89 · outbound

This paper cites Exploring visual prompts for adapting large-scale models.

Attribute-based Visual Reprogramming for Vision-Language Models Exploring visual prompts for adapting large-scale models

Reference 1

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Observation 71e4cefc-5084-4497-b92f-aa1b0454a1cf · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Food-101--mining discriminative components with random forests

Reference 2

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Observation 226c988a-bc4e-41dd-b92b-52399b244b43 · outbound

This paper cites Language models are few-shot learners.

Attribute-based Visual Reprogramming for Vision-Language Models Language models are few-shot learners

Reference 3

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Observation 624aca38-7bc0-47f9-8c7e-16fdf93a0f78 · outbound

This paper cites Bayesian-guided label mapping for visual reprogramming.

Attribute-based Visual Reprogramming for Vision-Language Models Bayesian-guided label mapping for visual reprogramming

Reference 4

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Observation bd1ee6b6-45ba-43ae-8954-3b6e94ae2dfa · outbound

This paper cites Sample-specific masks for visual reprogramming-based prompting.

Attribute-based Visual Reprogramming for Vision-Language Models Sample-specific masks for visual reprogramming-based prompting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:33.135829Z

Source-reported events for the cited work

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Observation 48b8712f-8dfa-4b62-8327-00d3c4afbfb9 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Understanding and improving visual prompting: A label-mapping perspective

Reference 6

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Observation 10ce7b01-73ca-4146-8fac-942bd65e3772 · outbound

This paper cites Understanding and mitigating the label noise in pre-training on downstream tasks.

Attribute-based Visual Reprogramming for Vision-Language Models Understanding and mitigating the label noise in pre-training on downstream tasks

Reference 7

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Observation 84ae0415-235d-4244-8f9b-2376d095c755 · outbound

This paper cites Model reprogramming: Resource-efficient cross-domain machine learning.

Attribute-based Visual Reprogramming for Vision-Language Models Model reprogramming: Resource-efficient cross-domain machine learning

Reference 8

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Observation ec6d661c-24f9-4c66-bc2b-b5185153cca0 · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art.

Attribute-based Visual Reprogramming for Vision-Language Models Remote sensing image scene classification: Benchmark and state of the art

Reference 9

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Observation 17704152-9253-4027-8eb3-2a109b74a4ae · outbound

This paper cites Describing textures in the wild.

Attribute-based Visual Reprogramming for Vision-Language Models Describing textures in the wild

Reference 10

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Observation 1e95bec8-b75b-400d-bf48-98fb13c9c2b7 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 11

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Observation 29161996-782e-48a4-a623-22c589321c2b · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

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Observation fb6b5b52-96f1-4abe-88b8-a7d94f762270 · outbound

This paper cites Adversarial reprogramming of neural networks.

Attribute-based Visual Reprogramming for Vision-Language Models Adversarial reprogramming of neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:33.066805Z

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Observation 369d3d1a-5573-41ec-a805-3e09696e3f7b · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 14

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Observation 4234f9f6-0796-43c0-a50e-5950e7735591 · outbound

This paper cites Learning visual attributes.

Attribute-based Visual Reprogramming for Vision-Language Models Learning visual attributes

Reference 15

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Observation 2fd75382-556a-493d-8830-b401bcfd2cfe · outbound

This paper cites Warp: Word-level adversarial reprogramming.

Attribute-based Visual Reprogramming for Vision-Language Models Warp: Word-level adversarial reprogramming

Reference 16

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Observation d0a8e5e5-147d-416c-841b-1bd6b6626df4 · outbound

This paper cites E\^ 2vpt: An effective and efficient approach for visual prompt tuning.

Attribute-based Visual Reprogramming for Vision-Language Models E\^ 2vpt: An effective and efficient approach for visual prompt tuning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:33.024487Z

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Observation e3265e4e-95b2-4e2e-9f02-5959d27d16b8 · outbound

This paper cites Stochastic approximation and recursive algorithm and applications.

Attribute-based Visual Reprogramming for Vision-Language Models Stochastic approximation and recursive algorithm and applications

Reference 18

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Observation 4e3dbd9c-7e00-46ae-9cf2-c5de0870d783 · outbound

This paper cites Deep residual learning for image recognition.

Attribute-based Visual Reprogramming for Vision-Language Models Deep residual learning for image recognition

Reference 19

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Observation d7be57ee-db7c-408d-84e6-f8b5e685d51f · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 20

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Observation 57283ad5-d140-46b2-9c69-1fa46740b23d · outbound

This paper cites Low-resource music genre classification with cross-modal neural model reprogramming.

Attribute-based Visual Reprogramming for Vision-Language Models Low-resource music genre classification with cross-modal neural model reprogramming

Reference 21

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Observation 3b170201-5b35-4ec8-a083-b6443011055b · outbound

This paper cites Visual prompt tuning.

Attribute-based Visual Reprogramming for Vision-Language Models Visual prompt tuning

Reference 22

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Observation 89f8e242-718a-4816-8966-b81aecae90fc · outbound

This paper cites Deep graph reprogramming.

Attribute-based Visual Reprogramming for Vision-Language Models Deep graph reprogramming

Reference 23

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Observation d258f257-9ab6-471b-b2ee-8467e6ab8225 · outbound

This paper cites Maple: Multi-modal prompt learning.

Attribute-based Visual Reprogramming for Vision-Language Models Maple: Multi-modal prompt learning

Reference 24

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Observation 98cc4447-f543-4c18-90b2-027886f99424 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models 3d object representations for fine-grained categorization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.953323Z

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Observation 92d4b52c-f013-4e14-a538-10c76c9412e8 · outbound

This paper cites Describable visual attributes for face verification and image search.

Attribute-based Visual Reprogramming for Vision-Language Models Describable visual attributes for face verification and image search

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.943210Z

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Observation e4346205-20b0-4beb-b0f7-746e7e9d7afb · outbound

This paper cites Visual-text cross alignment: Refining the similarity score in vision-language models.

Attribute-based Visual Reprogramming for Vision-Language Models Visual-text cross alignment: Refining the similarity score in vision-language models

Reference 27

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Observation 80ce64bf-4024-4e39-9839-07ae6bd974fe · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Promptkd: Unsupervised prompt distillation for vision-language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.925197Z

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Observation be2895cc-fb46-45cb-90f7-78f8b0db1e91 · outbound

This paper cites How complex is your classification problem? a survey on measuring classification complexity.

Attribute-based Visual Reprogramming for Vision-Language Models How complex is your classification problem? a survey on measuring classification complexity

Reference 29

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Observation bfc065d8-d4a1-46c9-b952-fa1dd4667fb2 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

Attribute-based Visual Reprogramming for Vision-Language Models Sgdr: Stochastic gradient descent with warm restarts

Reference 30

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Observation 8ee3b98f-b436-4849-bca8-c7e491ab6bc8 · outbound

This paper cites Fine-grained visual classification of aircraft.

Attribute-based Visual Reprogramming for Vision-Language Models Fine-grained visual classification of aircraft

Reference 31

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Observation 6b124350-2e86-47b0-aee7-c85291fde3df · outbound

This paper cites Visual classification via description from large language models.

Attribute-based Visual Reprogramming for Vision-Language Models Visual classification via description from large language models

Reference 32

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Observation c76bc1fa-e524-4eee-bfaa-5c083d764dd5 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Automated flower classification over a large number of classes

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.874881Z

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Observation 7811d976-3821-426d-90ff-7c32f9d96d24 · outbound

This paper cites Blackvip: Black-box visual prompting for robust transfer learning.

Attribute-based Visual Reprogramming for Vision-Language Models Blackvip: Black-box visual prompting for robust transfer learning

Reference 34

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Observation df2a8997-6ebf-4706-8a42-81726edce192 · outbound

This paper cites Cats and dogs.

Attribute-based Visual Reprogramming for Vision-Language Models Cats and dogs

Reference 35

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This paper cites Learning to predict visual attributes in the wild.

Attribute-based Visual Reprogramming for Vision-Language Models Learning to predict visual attributes in the wild

Reference 36

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Observation ac088f7b-7e13-4778-9228-4dd4a53f3c32 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.840234Z

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Observation c8db3b8c-7f80-44a2-877e-218a4be12623 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Learning transferable visual models from natural language supervision

Reference 38

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Observation b23e1dad-e717-434d-a719-af08885e1031 · outbound

This paper cites A dataset of 101 human action classes from videos in the wild.

Attribute-based Visual Reprogramming for Vision-Language Models A dataset of 101 human action classes from videos in the wild

Reference 39

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Observation a0cf04ec-5e86-4f47-8fe6-d9030830be84 · outbound

This paper cites Argue: Attribute-guided prompt tuning for vision-language models.

Attribute-based Visual Reprogramming for Vision-Language Models Argue: Attribute-guided prompt tuning for vision-language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.817533Z

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Observation f647e38a-12db-41ed-976a-f9881d74a89b · outbound

This paper cites Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources.

Attribute-based Visual Reprogramming for Vision-Language Models Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.806814Z

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Observation ca1c0bd3-5b2b-4ad0-b0aa-b80e1cce7707 · outbound

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Attribute-based Visual Reprogramming for Vision-Language Models Autovp: An automated visual prompting framework and benchmark

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.797055Z

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Observation a3a85da0-3dc6-4287-adcc-75b0d411f4d8 · outbound

This paper cites Visualizing data using t-sne.

Attribute-based Visual Reprogramming for Vision-Language Models Visualizing data using t-sne

Reference 43

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This paper cites Reprogramming language models for molecular representation learning.

Attribute-based Visual Reprogramming for Vision-Language Models Reprogramming language models for molecular representation learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.780961Z

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Observation 09e0468e-80c8-40ee-8763-00a54b2bc21e · outbound

This paper cites Transhp: Image classification with hierarchical prompting.

Attribute-based Visual Reprogramming for Vision-Language Models Transhp: Image classification with hierarchical prompting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.771506Z

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Observation 0c29d9c9-ffef-4452-8b37-4b81d7342223 · outbound

This paper cites Connecting the dots: Collaborative fine-tuning for black-box vision-language models.

Attribute-based Visual Reprogramming for Vision-Language Models Connecting the dots: Collaborative fine-tuning for black-box vision-language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.762154Z

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Observation 45cd124d-a9ba-4e5c-b6ee-8cd45d4688e9 · outbound

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

Attribute-based Visual Reprogramming for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

Reference 47

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Observation 83428ead-8a38-42b0-8ddf-beb761fab1f9 · outbound

This paper cites Towards few-shot adaptation of foundation models via multitask finetuning.

Attribute-based Visual Reprogramming for Vision-Language Models Towards few-shot adaptation of foundation models via multitask finetuning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.745512Z

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Observation 6e676b1d-ec29-42d7-8249-7e3d5bf2cb5c · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

Attribute-based Visual Reprogramming for Vision-Language Models Learning concise and descriptive attributes for visual recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.734193Z

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Observation 27d0d3a7-0d56-43c9-8c76-30a9224a13ee · outbound

This paper cites Voice2series: Reprogramming acoustic models for time series classification.

Attribute-based Visual Reprogramming for Vision-Language Models Voice2series: Reprogramming acoustic models for time series classification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.723564Z

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Observation 4e2fdb34-8042-47af-8964-7d4e9fe568fc · outbound

This paper cites From english to more languages: Parameter-efficient model reprogramming for cross-lingual speech recognition.

Attribute-based Visual Reprogramming for Vision-Language Models From english to more languages: Parameter-efficient model reprogramming for cross-lingual speech recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.713210Z

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Observation a8d8a328-0164-43d3-b6b3-3ce66790bbfa · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

Attribute-based Visual Reprogramming for Vision-Language Models Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:14:32.703881Z

Source-reported events for the cited work

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

Attribute-based Visual Reprogramming for Vision-Language Models Conditional prompt learning for vision-language models

Reference 53

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

Attribute-based Visual Reprogramming for Vision-Language Models Learning to prompt for vision-language models

Reference 54

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Attribute-based Visual Reprogramming for Vision-Language Models write newline

Reference 55

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This paper cites @esa (Ref.

Attribute-based Visual Reprogramming for Vision-Language Models @esa (Ref

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Attribute-based Visual Reprogramming for Vision-Language Models Unresolved cited work

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Attribute-based Visual Reprogramming for Vision-Language Models Unresolved cited work

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Pith citing papers

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Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise cites this paper.

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise Attribute-based Visual Reprogramming for Vision-Language Models

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Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization cites this paper.

Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization Attribute-based Visual Reprogramming for Vision-Language Models

Reference 30

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