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Paper Citation Record · LEDGER

Pretraining Language Models on Historical Text

As of 7 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

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

measured 61 of 61 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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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=

Reference 3

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This paper cites c.\ 1510 -- c.\ 1900 , year =.

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

Reference 4

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Pretraining Language Models on Historical Text 2024 , publisher =

Reference 5

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Pretraining Language Models on Historical Text 2024 , eprint =

Reference 6

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This paper cites History LLMs , institution =.

Pretraining Language Models on Historical Text History LLMs , institution =

Reference 7

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Pretraining Language Models on Historical Text 2026 , month=

Reference 8

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This paper cites The European English Messenger , year =.

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

Reference 9

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This paper cites 2016 , note =.

Pretraining Language Models on Historical Text 2016 , note =

Reference 10

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This paper cites ICAME Journal , year =.

Pretraining Language Models on Historical Text ICAME Journal , year =

Reference 11

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This paper cites Neural Machine Translation of Rare Words with Subword Units.

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

Reference 12

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Pretraining Language Models on Historical Text 2024 , eprint =

Reference 13

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This paper cites 2020 , eprint=.

Pretraining Language Models on Historical Text 2020 , eprint=

Reference 14

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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 =

Reference 16

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

Reference 17

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Pretraining Language Models on Historical Text 2021 , eprint=

Reference 18

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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=

Reference 22

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Pretraining Language Models on Historical Text Unresolved cited work

Reference 23

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Pretraining Language Models on Historical Text 2026 , eprint=

Reference 24

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Pretraining Language Models on Historical Text 2025 , eprint=

Reference 25

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Pretraining Language Models on Historical Text COLM , year=

Reference 26

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

Reference 27

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

Reference 28

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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

Reference 33

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Pretraining Language Models on Historical Text NeurIPS , 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 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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Observation 31f19bbf-90b5-4d30-99d7-50c138ebc343 · outbound

This paper cites ICML 2025 Workshop on Reliable and Responsible Foundation Models , year=.

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

Reference 42

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Observation 813a9f06-88d7-413c-a4b4-c24aeabd49d0 · outbound

This paper cites Length-Controlled.

Pretraining Language Models on Historical Text Length-Controlled

Reference 43

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Observation 55f7587f-89a7-4e73-a14b-120b5fb61b3d · outbound

This paper cites First Conference on Language Modeling , year=.

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

Reference 44

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no resolver link, observed 2026-06-28T10:58:52.683415Z

Source-reported events for the cited work

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Observation bcf53be0-2466-412c-9182-dc7fa4d8abe4 · outbound

This paper cites 2022 , eprint =.

Pretraining Language Models on Historical Text 2022 , eprint =

Reference 45

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Observation e35ace25-974d-4629-95cc-4a9e77446f4f · outbound

This paper cites , title =.

Pretraining Language Models on Historical Text , title =

Reference 46

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Observation 5246ac8b-c654-486a-93af-ac0e10a88e4f · outbound

This paper cites 2026 , note =.

Pretraining Language Models on Historical Text 2026 , note =

Reference 47

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Observation 0a478cd3-102f-40e7-850b-1c085a5559d2 · outbound

This paper cites OpenAI blog , year=.

Pretraining Language Models on Historical Text OpenAI blog , year=

Reference 48

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Observation 48c3ec73-1de6-47a6-b298-2b556d573cbc · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

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

Reference 49

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local_arxiv, observed 2026-07-02T02:26:26.393966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 07e7c065-c667-41e6-be8e-3a1142a932dc · outbound

This paper cites TIME , year =.

Pretraining Language Models on Historical Text TIME , year =

Reference 50

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Observation 8fc04aca-a7d8-4eb8-9f39-8c169515149f · outbound

This paper cites 1965 , url =.

Pretraining Language Models on Historical Text 1965 , url =

Reference 51

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Observation edae6eda-f251-4088-b918-1873907c4d36 · outbound

This paper cites Corpora across the centuries: Proceedings of the First International Colloquium on English Diachronic Corpora, St Catharine's College Cambridge, 25-27 March 1993 , editor =.

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 =

Reference 52

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Observation 86a994b2-7b26-41c3-9501-e2be4b3e3f69 · outbound

This paper cites ICLR , year=.

Pretraining Language Models on Historical Text ICLR , year=

Reference 53

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Observation faa96371-10a3-4451-9ab6-5e3515cdbcab · outbound

This paper cites A Careful Examination of Large Language Model Performance on Grade School Arithmetic , url =.

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

Reference 54

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verified exact
doi, observed 2026-06-28T11:02:01.173878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4030874c-dc01-405d-ac97-3979732dceb0 · outbound

This paper cites Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning.

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

Reference 55

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Observation 04fc08e7-10a8-4355-8bb8-e19571500511 · outbound

This paper cites an unresolved cited work.

Pretraining Language Models on Historical Text Unresolved cited work

Reference 56

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Observation cf4e50e2-b4aa-4d0e-bceb-84cfd1822ea1 · outbound

This paper cites 2025 , eprint=.

Pretraining Language Models on Historical Text 2025 , eprint=

Reference 57

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Observation e19826f2-2158-4e58-897b-be2d1a02defc · outbound

This paper cites 2026 , month =.

Pretraining Language Models on Historical Text 2026 , month =

Reference 58

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Observation 2da867be-407c-4298-b792-04c33134193c · outbound

This paper cites Qwen3 Technical Report.

Pretraining Language Models on Historical Text Qwen3 Technical Report

Reference 59

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metadata mismatch
local_arxiv, observed 2026-07-02T02:26:26.391175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation eec0aeaf-660f-4057-86b1-8863ddc6142b · outbound

This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , year =.

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

Reference 60

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Observation af30c670-b36d-4901-a454-1c49b7057b81 · outbound

This paper cites Scaling Point-in-Time Language Models.

Pretraining Language Models on Historical Text Scaling Point-in-Time Language Models

Reference 61

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Pith citing papers

No inbound Pith citation observations are available.