Paper Citation Record · LEDGER

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 4 inbound Pith citation observations for arXiv:2507.21917.

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

pith.paper-citation-record.v1
2507.21917 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:13:58.950328Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:51.303795Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation e58c71a6-42b4-4ffa-b0b1-921d762e9479 · outbound

This paper cites an unresolved cited work.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Unresolved cited work

Reference 1

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Observation bb92f3e5-ee8b-4339-9da7-04b63b97b603 · outbound

This paper cites Leveraging knowledge graphs and deep learning for automatic art analysis,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Leveraging knowledge graphs and deep learning for automatic art analysis,

Reference 2

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This paper cites GraphCLIP: Image-graph contrastive learning for multimodal artwork classification,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval GraphCLIP: Image-graph contrastive learning for multimodal artwork classification,

Reference 3

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Observation 09f67382-5b4e-41f5-b76b-b8608701fff6 · outbound

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

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Learning transferable visual models from natural language supervision,

Reference 4

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This paper cites GPT-4 Technical Report.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval GPT-4 Technical Report

Reference 5

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Observation 82ddbe2f-079b-4080-8e8e-f674a9773db3 · outbound

This paper cites ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

Reference 6

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Observation 303579f4-8f4d-4066-ae43-bd80e62d7ad1 · outbound

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

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Gallerygpt: Analyzing paintings with large multimodal models,

Reference 7

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Observation 96df4660-a14e-427b-b6f7-17c4164ac575 · outbound

This paper cites KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph

Reference 8

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Observation d17427ac-7cd6-4fd3-a2c1-15891a390e1a · outbound

This paper cites Colbert: Efficient and effective passage search via contextualized late interaction over bert,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Colbert: Efficient and effective passage search via contextualized late interaction over bert,

Reference 9

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Observation 5218236b-b32b-4c5f-ae03-183c3e8f9dfb · outbound

This paper cites Artpedia: A new visual-semantic dataset with visual and contextual sentences in the artistic domain,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Artpedia: A new visual-semantic dataset with visual and contextual sentences in the artistic domain,

Reference 10

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Observation cb8a1aa8-1494-4cab-973d-395f0f91ca35 · outbound

This paper cites Deep learning approaches to pattern extraction and recognition in paintings and drawings: An overview,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Deep learning approaches to pattern extraction and recognition in paintings and drawings: An overview,

Reference 11

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Observation bf5868df-3321-4f3c-991a-9a2cd3b0770f · outbound

This paper cites Machine learning for cultural heritage: A survey,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Machine learning for cultural heritage: A survey,

Reference 12

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Observation fd1a1c4a-be3f-4538-8249-2b852a36360e · outbound

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

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Fine-tuning convolutional neural networks for fine art classification,

Reference 13

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Observation 92586de4-cc32-4b0c-957d-e42eef8eea45 · outbound

This paper cites Recognizing Image Style.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Recognizing Image Style

Reference 14

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Observation f80128db-6fba-4cf4-a641-c745b61c6bf9 · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Reference 15

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Observation 1ff222b3-d6e5-4844-9d06-8e57cf17d884 · outbound

This paper cites Toward Discovery of the Artist’s Style: Learning to recognize artists by their artworks,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Toward Discovery of the Artist’s Style: Learning to recognize artists by their artworks,

Reference 16

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Observation 1f9b41be-672e-4017-8e92-b83db479d8b6 · outbound

This paper cites A deep learning approach to clustering visual arts,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval A deep learning approach to clustering visual arts,

Reference 17

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This paper cites Toward automated discovery of artistic influence,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Toward automated discovery of artistic influence,

Reference 18

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This paper cites Wasielewski, Computational formalism: Art history and machine learning.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Wasielewski, Computational formalism: Art history and machine learning

Reference 19

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This paper cites ContextNet: representation and exploration for painting classification and retrieval in context,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval ContextNet: representation and exploration for painting classification and retrieval in context,

Reference 20

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Observation 227ce487-ca6a-4f85-b30b-e37473388c43 · outbound

This paper cites How to read paintings: semantic art understanding with multi-modal retrieval,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval How to read paintings: semantic art understanding with multi-modal retrieval,

Reference 21

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This paper cites Generating captions for images of ancient artworks,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Generating captions for images of ancient artworks,

Reference 22

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This paper cites A dataset and baselines for visual question answering on art,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval A dataset and baselines for visual question answering on art,

Reference 23

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Iconographic image captioning for artworks,

Reference 24

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Iconclass: an iconographic classification system,

Reference 25

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This paper cites Explain me the painting: Multi-topic knowledgeable art description generation,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Explain me the painting: Multi-topic knowledgeable art description generation,

Reference 26

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Reading Wikipedia to Answer Open-Domain Questions

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Is GPT-3 all you need for visual question answering in cultural heritage?

Reference 28

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This paper cites Exploring the Synergy Between Vision-Language Pretrain- ing and ChatGPT for Artwork Captioning: A Preliminary Study,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Exploring the Synergy Between Vision-Language Pretrain- ing and ChatGPT for Artwork Captioning: A Preliminary Study,

Reference 29

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

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 30

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This paper cites Flamingo: a visual language model for few-shot learning,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Flamingo: a visual language model for few-shot learning,

Reference 31

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Visual instruction tuning,

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This paper cites InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning,

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This paper cites Reveal: Retrieval- augmented visual-language pre-training with multi-source multimodal knowledge memory,.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Reveal: Retrieval- augmented visual-language pre-training with multi-source multimodal knowledge memory,

Reference 34

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval EchoSight: Advancing Visual-Language Models with Wiki Knowledge,

Reference 35

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Wiki-llava: Hierarchical retrieval-augmented generation for multimodal llms,

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Qwen2.5-VL Technical Report

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Toolformer: Language Models Can Teach Themselves to Use Tools,

Reference 38

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval React: Synergizing reasoning and acting in language models,

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Colpali: Efficient document retrieval with vision language models,

Reference 40

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Wikiextractor,

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This paper cites Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling

Reference 42

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Sigmoid loss for language image pre-training,

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Multi-task learning using uncertainty to weigh losses for scene geometry and semantics,

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Art History: A Preliminary Handbook (1996)

Reference 45

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 46

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Composed image retrieval using contrastive learning and task-oriented CLIP-based features,

Reference 47

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Artwork interpretation,

Reference 48

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ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval Artquest: Countering hidden language biases in artvqa,

Reference 49

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Pith citing papers

Observation 40f2e3ed-7984-40f9-bb3f-3843d57451db · inbound

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding cites this paper.

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:15:21.084154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6393261-fd1e-4261-a288-b4a7d816a19c · inbound

Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images cites this paper.

Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:55.467704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 710e3f64-12c0-4227-a319-519d0174c297 · inbound

Understanding How MLLMs Describe Artworks Using Token Activation Maps cites this paper.

Understanding How MLLMs Describe Artworks Using Token Activation Maps ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:23:51.305082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6879c8b8-a8b5-4248-bb49-3e95baadafc6 · inbound

ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation cites this paper.

ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:13:58.950328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.