Paper Citation Record · LEDGER

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.12668.

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

pith.paper-citation-record.v1
2508.12668 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:54.797771Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e796fa2f-4c40-4126-b196-505dcdb2474b · outbound

This paper cites write newline.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art write newline

Reference 1

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Source-reported events for the cited work

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Observation e2762bff-bfea-4798-a310-a29953f79700 · outbound

This paper cites Disco diffusion, 2021.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Disco diffusion, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.333201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0af38b4-e5a5-41e1-a28f-ee1f9495aff8 · outbound

This paper cites Art and visual perception: A psychology of the creative eye.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Art and visual perception: A psychology of the creative eye

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.321954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a77a3ee0-2981-4d37-8b31-360abcdb7d3e · outbound

This paper cites Multitask painting categorization by deep multibranch neural network.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Multitask painting categorization by deep multibranch neural network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.311626Z

Source-reported events for the cited work

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Observation 2e4fcc0b-70cb-4f95-a68e-2b2f5dba5a74 · outbound

This paper cites Gallerygpt: Analyzing paintings with large multimodal models.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Gallerygpt: Analyzing paintings with large multimodal models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.300862Z

Source-reported events for the cited work

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Observation cc3f523d-d693-44b9-a5e9-0e13a3252650 · outbound

This paper cites Ai generated art: Latent diffusion-based style and detection.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Ai generated art: Latent diffusion-based style and detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.289680Z

Source-reported events for the cited work

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Observation d2df934e-b18f-4bd1-9124-64297f1f4a2e · outbound

This paper cites Deep convolutional embedding for digitized painting clustering.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Deep convolutional embedding for digitized painting clustering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.278270Z

Source-reported events for the cited work

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Observation 71c3a132-aace-457e-b049-59a7b56bc5a6 · outbound

This paper cites Fine-tuning convolutional neural networks for fine art classification.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Fine-tuning convolutional neural networks for fine art classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.265768Z

Source-reported events for the cited work

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Observation fb3e0861-5811-4efc-abe3-8bc035e93f63 · outbound

This paper cites Learning the principles of art history with convolutional neural networks.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Learning the principles of art history with convolutional neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.254109Z

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Observation 035b6183-3e44-4231-b3aa-1c5c2684a4e1 · outbound

This paper cites Physbench: Benchmarking and enhancing vision-language models for physical world understanding.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Physbench: Benchmarking and enhancing vision-language models for physical world understanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.242407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58db35ba-7368-478a-986d-0e1a03113738 · outbound

This paper cites Clip-art: Contrastive pre-training for fine-grained art classification.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Clip-art: Contrastive pre-training for fine-grained art classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.232126Z

Source-reported events for the cited work

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Observation 6efc5c62-14f1-4bb9-b963-562450e91f12 · outbound

This paper cites Revisiting w \"o lfflin in the age of ai: A study of classical and baroque composition in generative models.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Revisiting w \"o lfflin in the age of ai: A study of classical and baroque composition in generative models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.222214Z

Source-reported events for the cited work

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Observation 0762e173-8f0e-4ae6-ad9d-3fd7b56c6d73 · outbound

This paper cites Can: Creative adversarial networks generating “art” by learning about styles and deviating from style norms.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Can: Creative adversarial networks generating “art” by learning about styles and deviating from style norms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.211539Z

Source-reported events for the cited work

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Observation ce42be9d-11d0-4ad9-9282-1bf05d0d853f · outbound

This paper cites The shape of art history in the eyes of the machine.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art The shape of art history in the eyes of the machine

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.201319Z

Source-reported events for the cited work

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Observation ff8cc041-53ba-43b4-8ef6-b839e73565c3 · outbound

This paper cites Artistic movement recognition by boosted fusion of color structure and topographic description.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Artistic movement recognition by boosted fusion of color structure and topographic description

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.191262Z

Source-reported events for the cited work

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Observation 31eaa20c-def3-42f8-9f58-a8d909224823 · outbound

This paper cites A Framework for Critical Evaluation of Text-to-Image Models: Integrating Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art A Framework for Critical Evaluation of Text-to-Image Models: Integrating Art Historical Analysis, Artistic Exploration, and Critical Prompt Engineering

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:22:54.905053Z

Source-reported events for the cited work

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Observation 3738074b-cee2-42ec-ae36-d6457f1476b3 · outbound

This paper cites Prebles' Artforms.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Prebles' Artforms

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.179973Z

Source-reported events for the cited work

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Observation 0316a5ef-b2cc-4942-b497-99c7e77d4d30 · outbound

This paper cites Unsupervised image style embeddings for retrieval and recognition tasks.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Unsupervised image style embeddings for retrieval and recognition tasks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.167614Z

Source-reported events for the cited work

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Observation 5893eea4-480e-46cf-8ced-e2be5b02f1b3 · outbound

This paper cites Context-aware embeddings for automatic art analysis.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Context-aware embeddings for automatic art analysis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.155813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12d38c4f-2c10-45be-8710-0d9ea5e5f1f9 · outbound

This paper cites A Study in the Psychology of Pictorial Representation.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art A Study in the Psychology of Pictorial Representation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.144094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d6a5d53-e4b4-491e-91b5-0a52ffcf2973 · outbound

This paper cites Gemini 2.5 pro: Our most intelligent ai model.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Gemini 2.5 pro: Our most intelligent ai model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.132243Z

Source-reported events for the cited work

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Observation aca41e33-c323-44f2-9a8a-24c560efc165 · outbound

This paper cites Art History: A Critical Introduction to Its Methods.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Art History: A Critical Introduction to Its Methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.120118Z

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Observation 2fc03c1a-a9ab-4b95-b046-21ad4cd26814 · outbound

This paper cites Chang, and Mohamed Elhoseiny.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Chang, and Mohamed Elhoseiny

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.109084Z

Source-reported events for the cited work

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Observation c0339f91-225a-426c-a29e-e27e7457d186 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Analyzing and improving the image quality of stylegan

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.095190Z

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Observation bfcad55a-1b92-45fb-9846-851779dacb77 · outbound

This paper cites Ai art neural constellation: Revealing the collective and contrastive state of ai-generated and human art.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Ai art neural constellation: Revealing the collective and contrastive state of ai-generated and human art

Reference 25

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Observation d37b20af-0be5-4a19-b971-c6d6010884c9 · outbound

This paper cites Proxy learning of visual concepts of fine art paintings from styles through language models.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Proxy learning of visual concepts of fine art paintings from styles through language models

Reference 26

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Observation ac64f598-db20-4696-b076-0bd5338ff34c · outbound

This paper cites Novel features for art movement classification of portrait paintings.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Novel features for art movement classification of portrait paintings

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.051917Z

Source-reported events for the cited work

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Observation f84eee3d-2b16-4dce-b2f4-075e5d7fbbc1 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 28

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Observation 73d9f0dd-a8a5-49a3-be29-62693f27819e · outbound

This paper cites Ava: A large-scale database for aesthetic visual analysis.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Ava: A large-scale database for aesthetic visual analysis

Reference 29

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Observation 0d26703a-9b36-4348-8ef0-09ac9f8ace09 · outbound

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

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Learning transferable visual models from natural language supervision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.021375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 11a346dd-6c25-4538-968f-c1c0105a7e02 · outbound

This paper cites History of art paintings through the lens of entropy and complexity.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art History of art paintings through the lens of entropy and complexity

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:55.009763Z

Source-reported events for the cited work

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Observation 06262ce4-4992-4a23-909f-d55a211caebe · outbound

This paper cites Videogameqa-bench: Evaluating vision-language models for video game quality assurance.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Videogameqa-bench: Evaluating vision-language models for video game quality assurance

Reference 32

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Source-reported events for the cited work

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WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Unresolved cited work

Reference 33

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Observation 5f46b59b-bfee-4acf-81dc-13ed1c2fe7ba · outbound

This paper cites Visualizing data using t-sne.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Visualizing data using t-sne

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.986008Z

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Observation ce2a655b-0ec2-4a50-8ee6-bc4506b0b7ed · outbound

This paper cites Exploring clip for assessing the look and feel of images.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Exploring clip for assessing the look and feel of images

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.975129Z

Source-reported events for the cited work

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Observation 86eba287-67a0-40b1-abde-a93c29a9c0ad · outbound

This paper cites Principles of art history: The problem of the development of style in later art.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Principles of art history: The problem of the development of style in later art

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.962878Z

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Observation d2b8399e-8f2c-427d-b2d8-760ec8df0f31 · outbound

This paper cites Artfid: Quantitative evaluation of neural style transfer.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Artfid: Quantitative evaluation of neural style transfer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.952040Z

Source-reported events for the cited work

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Observation fe7e7da2-37d8-4312-b195-3224877573f3 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.941167Z

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Observation 4e90862c-873b-4d79-a80b-d07005ebcf7e · outbound

This paper cites Analysis of painting complexity based on feature extraction.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Analysis of painting complexity based on feature extraction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.929157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b50e593-3a0c-4986-b95b-f748f02ed2cb · outbound

This paper cites Chronological classification of ancient paintings using appearance and shape features.

WP-CLIP: Leveraging CLIP to Predict W\"olfflin's Principles in Visual Art Chronological classification of ancient paintings using appearance and shape features

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:22:54.917600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.