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Paper Citation Record · LEDGER

Evaluating Large Language Models for Antisemitic Incident Classification

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.04890.

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

pith.paper-citation-record.v1
2607.04890 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:53:20.901004Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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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Outbound references

Observation 24fc5d45-c683-4ac3-9d8d-de249598bc14 · outbound

This paper cites Accessed: 2024-5-13.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2024-5-13

Reference 1

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Observation 668ee616-86f1-4abb-ba6e-b49898c76fde · outbound

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Evaluating Large Language Models for Antisemitic Incident Classification Unresolved cited work

Reference 2

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This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 3

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This paper cites InProceedings of the International AAAI Conference on Web and Social Media, volume 19, pages 122–145.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedings of the International AAAI Conference on Web and Social Media, volume 19, pages 122–145

Reference 4

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Evaluating Large Language Models for Antisemitic Incident Classification Unresolved cited work

Reference 5

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This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 6

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This paper cites Subverting the Jewtocracy.

Evaluating Large Language Models for Antisemitic Incident Classification Subverting the Jewtocracy

Reference 7

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This paper cites InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 345–363, Online and Punta Cana, Dominican Republic.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 345–363, Online and Punta Cana, Dominican Republic

Reference 8

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Observation 4f56ae62-f260-4173-8408-19d52ebd7d8c · outbound

This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 9

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This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 10

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This paper cites InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14104–14115, Bangkok, Thailand.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14104–14115, Bangkok, Thailand

Reference 11

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Evaluating Large Language Models for Antisemitic Incident Classification Unresolved cited work

Reference 12

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This paper cites Accessed: 2024-5-13.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2024-5-13

Reference 13

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This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 14

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This paper cites Accessed: 2024-5-13.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2024-5-13

Reference 15

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Evaluating Large Language Models for Antisemitic Incident Classification https://www

Reference 16

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Evaluating Large Language Models for Antisemitic Incident Classification Unresolved cited work

Reference 17

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This paper cites Monitoring the evolution of antisemitic discourse on extremist social media using BERT.

Evaluating Large Language Models for Antisemitic Incident Classification Monitoring the evolution of antisemitic discourse on extremist social media using BERT

Reference 18

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This paper cites Leader-driven or Leaderless: How Participation Structure Sustains Engagement and Shapes Narratives in Online Hate Communities.

Evaluating Large Language Models for Antisemitic Incident Classification Leader-driven or Leaderless: How Participation Structure Sustains Engagement and Shapes Narratives in Online Hate Communities

Reference 19

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This paper cites Accessed: 2024-5-3.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2024-5-3

Reference 20

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This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 35356–35385.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 35356–35385

Reference 21

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This paper cites Accessed: 2025-12-20.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2025-12-20

Reference 22

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Evaluating Large Language Models for Antisemitic Incident Classification InThe 7th Workshop on Online Abuse and Harms (WOAH), pages 215–220, Toronto, Canada

Reference 23

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Evaluating Large Language Models for Antisemitic Incident Classification Unresolved cited work

Reference 24

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This paper cites InProceedingsofthe63rdAnnualMeeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5687–5709.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedingsofthe63rdAnnualMeeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5687–5709

Reference 25

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Observation f3353446-d7fc-495e-93b0-b428d52d29dd · outbound

This paper cites Jewish Museum Is Part of Global Surge in Antisemitism.The New York Times.

Evaluating Large Language Models for Antisemitic Incident Classification Jewish Museum Is Part of Global Surge in Antisemitism.The New York Times

Reference 26

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Evaluating Large Language Models for Antisemitic Incident Classification Sutherland,Callum.2025

Reference 27

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This paper cites Too Many People Are Making Excuses.The New York Times.

Evaluating Large Language Models for Antisemitic Incident Classification Too Many People Are Making Excuses.The New York Times

Reference 28

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Evaluating Large Language Models for Antisemitic Incident Classification InProceedingsofthe1stInternationalWorkshop on Computational Approaches to Historical Language Change, pages 115–125, Florence, Italy

Reference 29

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This paper cites Accessed: 2024-5-13.

Evaluating Large Language Models for Antisemitic Incident Classification Accessed: 2024-5-13

Reference 30

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This paper cites InProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2289–2303.

Evaluating Large Language Models for Antisemitic Incident Classification InProceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2289–2303

Reference 31

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This paper cites In Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pages 1–10, Trento.

Evaluating Large Language Models for Antisemitic Incident Classification In Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pages 1–10, Trento

Reference 32

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Evaluating Large Language Models for Antisemitic Incident Classification Heil Hitler

Reference 33

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