Paper Citation Record · LEDGER

Pretraining Language Models on Historical Text

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2606.02991.

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

pith.paper-citation-record.v1
2606.02991 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:58:52.683415Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 5a669582-3179-40e2-b334-8e3544ea51e7 · outbound

This paper cites and Shaw, Philip A.

Pretraining Language Models on Historical Text and Shaw, Philip A

Reference 1

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This paper cites The Royal Society Corpus 6.0: Providing 300+ Years of Scientific Writing for Humanistic Study.

Pretraining Language Models on Historical Text The Royal Society Corpus 6.0: Providing 300+ Years of Scientific Writing for Humanistic Study

Reference 2

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Pretraining Language Models on Historical Text 2025 , eprint=

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Pretraining Language Models on Historical Text c.\ 1510 -- c.\ 1900 , year =

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Pretraining Language Models on Historical Text 2024 , publisher =

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Pretraining Language Models on Historical Text 2024 , eprint =

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Pretraining Language Models on Historical Text History LLMs , institution =

Reference 7

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Pretraining Language Models on Historical Text 2026 , month=

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Pretraining Language Models on Historical Text The European English Messenger , year =

Reference 9

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Pretraining Language Models on Historical Text 2016 , note =

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Pretraining Language Models on Historical Text ICAME Journal , year =

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Pretraining Language Models on Historical Text Neural Machine Translation of Rare Words with Subword Units

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Pretraining Language Models on Historical Text 2024 , eprint =

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Pretraining Language Models on Historical Text 2020 , eprint=

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This paper cites GQA : Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Pretraining Language Models on Historical Text GQA : Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 15

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Pretraining Language Models on Historical Text GitHub repository , howpublished =

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Pretraining Language Models on Historical Text Root Mean Square Layer Normalization , url =

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Pretraining Language Models on Historical Text 2021 , eprint=

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Pretraining Language Models on Historical Text Neurocomputing , volume=

Reference 19

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Pretraining Language Models on Historical Text ICLR , year=

Reference 20

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Pretraining Language Models on Historical Text Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 21

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Pretraining Language Models on Historical Text 2026 , url=

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Pretraining Language Models on Historical Text Unresolved cited work

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Pretraining Language Models on Historical Text 2026 , eprint=

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Pretraining Language Models on Historical Text 2025 , eprint=

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Pretraining Language Models on Historical Text COLM , year=

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Pretraining Language Models on Historical Text American stories: A large-scale structured text dataset of historical

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Pretraining Language Models on Historical Text Available at SSRN 4881024 , year=

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Observation 553a8a8f-9b9f-4051-9ada-4805c499c47d · outbound

This paper cites Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents.

Pretraining Language Models on Historical Text Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents

Reference 29

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Pretraining Language Models on Historical Text 2025 , eprint=

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Pretraining Language Models on Historical Text 2025 , publisher =

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Pretraining Language Models on Historical Text ACL , year=

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Pretraining Language Models on Historical Text On Memorization of Large Language Models in Logical Reasoning

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Pretraining Language Models on Historical Text NeurIPS , year=

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Pretraining Language Models on Historical Text ICLR , year=

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Pretraining Language Models on Historical Text Can Language Models Represent the Past without Anachronism?

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Pretraining Language Models on Historical Text ICLR , year=

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Pretraining Language Models on Historical Text NeurIPS , volume=

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Pretraining Language Models on Historical Text Advances in Neural Information Processing Systems , volume=

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Pretraining Language Models on Historical Text ACL , year=

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Pretraining Language Models on Historical Text ICML 2025 Workshop on Reliable and Responsible Foundation Models , year=

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Pretraining Language Models on Historical Text Length-Controlled

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Pretraining Language Models on Historical Text First Conference on Language Modeling , year=

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Pretraining Language Models on Historical Text 2022 , eprint =

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Pretraining Language Models on Historical Text , title =

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Pretraining Language Models on Historical Text 2026 , note =

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Pretraining Language Models on Historical Text OpenAI blog , year=

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Pretraining Language Models on Historical Text Instruction-Following Evaluation for Large Language Models

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Pretraining Language Models on Historical Text TIME , year =

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Pretraining Language Models on Historical Text 1965 , url =

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Pretraining Language Models on Historical Text Corpora across the centuries: Proceedings of the First International Colloquium on English Diachronic Corpora, St Catharine's College Cambridge, 25-27 March 1993 , editor =

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Pretraining Language Models on Historical Text ICLR , year=

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Pretraining Language Models on Historical Text A Careful Examination of Large Language Model Performance on Grade School Arithmetic , url =

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Pretraining Language Models on Historical Text Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning

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Pretraining Language Models on Historical Text 2025 , eprint=

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Pretraining Language Models on Historical Text Qwen3 Technical Report

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Pretraining Language Models on Historical Text Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , year =

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Pith citing papers

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