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Paper Citation Record · LEDGER

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.04147.

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

pith.paper-citation-record.v1
2607.04147 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:21:23.781984Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 42870793-6370-4899-b3ad-b706bdd1c80a · outbound

This paper cites an unresolved cited work.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Unresolved cited work

Reference 1

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Observation aaab5ce0-a1bf-4f92-81da-9760687ebd8e · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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This paper cites Qwen2.5-VL Technical Report.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Qwen2.5-VL Technical Report

Reference 3

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This paper cites Qwen3-VL Technical Report.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Qwen3-VL Technical Report

Reference 4

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This paper cites an unresolved cited work.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Unresolved cited work

Reference 5

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Observation a0fe54d5-3851-46ba-94b2-5aacbe72532d · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 6

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This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024 (2024).

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: Findings of the Association for Computational Linguistics: ACL 2024 (2024)

Reference 7

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Observation 14a9b3e5-45d1-4640-9864-569351d74cd5 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

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Observation 3eae1625-a993-45cb-a174-6d584581159e · outbound

This paper cites An open dataset for the evolution of oracle bone characters: EVOBC.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding An open dataset for the evolution of oracle bone characters: EVOBC

Reference 9

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Observation 7111ae0c-d9d4-4d23-a3bb-38a86312990e · outbound

This paper cites Seed1.5-VL Technical Report.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Seed1.5-VL Technical Report

Reference 10

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Observation 95769d7b-e94d-45b7-977b-0d2bc4abfedc · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 11

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This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 12

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Observation 0d7f4648-4997-4df7-802d-1acda18471b3 · outbound

This paper cites In: 2009 10th International Conference on Docu- ment Analysis and Recognition.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: 2009 10th International Conference on Docu- ment Analysis and Recognition

Reference 13

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Unresolved cited work

Reference 14

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Observation 176f2080-82f0-4541-98ed-15336054552b · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Advances in neural information processing systems36, 34892–34916 (2023)

Reference 15

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 16

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This paper cites Wenwu chubanshe, Beijing (1984), original work published 1935.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Wenwu chubanshe, Beijing (1984), original work published 1935

Reference 17

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding GPT-4o System Card

Reference 18

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This paper cites OpenAI Blog (2025),https://openai.com/index/ introducing-gpt-5-2/, accessed: 2026-06-28 HCSU 17.

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding OpenAI Blog (2025),https://openai.com/index/ introducing-gpt-5-2/, accessed: 2026-06-28 HCSU 17

Reference 19

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding arXiv preprint arXiv:2512.10384 (2025)

Reference 20

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Scientific Data12(1), 169 (2025)

Reference 21

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Unresolved cited work

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 24

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: 2013 12th international conference on document analysis and recognition

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Yi: Open Foundation Models by 01.AI

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: ICCVW (2025)

Reference 27

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning

Reference 28

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation

Reference 29

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Unresolved cited work

Reference 30

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Pattern Recognition p

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HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding In: International Conference on Document Analysis and Recognition

Reference 33

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Pith citing papers

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