Paper Citation Record · LEDGER

Can Language Models Represent the Past without Anachronism?

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 7 inbound Pith citation observations for arXiv:2505.00030.

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

pith.paper-citation-record.v1
2505.00030 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:56.536258Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:19:07.104825Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

verified exact4
verified fuzzy5
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 78741c3c-82c4-4561-83a0-34e0a0761f7d · outbound

This paper cites Large Language Models based on historical text could offer informative tools for be- havioral science.

Can Language Models Represent the Past without Anachronism? Large Language Models based on historical text could offer informative tools for be- havioral science

Reference 1

Resolution: verified exact; doi, observed 2026-08-16T05:56:57.080074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95adf35b-edb4-4393-b493-d4496ada7dd1 · outbound

This paper cites Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese.

Can Language Models Represent the Past without Anachronism? Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:56:57.060144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 859e3202-1a9b-46a2-aec3-d327308eaac0 · outbound

This paper cites In Silico Sociology: Fore- casting COVID-19 Polarization with Large Language Models, 2024.

Can Language Models Represent the Past without Anachronism? In Silico Sociology: Fore- casting COVID-19 Polarization with Large Language Models, 2024

Reference 3

Resolution: verified exact; doi, observed 2026-08-16T05:56:57.035193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77962769-10b6-41c9-84a1-4d14ef642176 · outbound

This paper cites A survey on large language model based autonomous agents.

Can Language Models Represent the Past without Anachronism? A survey on large language model based autonomous agents

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.388507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794b492f-ac25-46fd-ba57-5634e8378fe6 · outbound

This paper cites Historical Psychology.

Can Language Models Represent the Past without Anachronism? Historical Psychology

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.394919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf8f21d-2d18-4ef4-86fe-f9e820d0359a · outbound

This paper cites Can AI language models replace human participants? Trends in Cognitive Sciences , 27(7):597–600,.

Can Language Models Represent the Past without Anachronism? Can AI language models replace human participants? Trends in Cognitive Sciences , 27(7):597–600,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:56:57.248807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81ec4188-b94f-4c3c-846a-d39e3bba12f4 · outbound

This paper cites AI and the transforma- tion of social science research.

Can Language Models Represent the Past without Anachronism? AI and the transforma- tion of social science research

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.413229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1b5321-48fd-4d26-bb80-736377f3f9a5 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Can Language Models Represent the Past without Anachronism? Generative Agents: Interactive Simulacra of Human Behavior

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.418450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f27d0c8-59e5-47bc-a201-18567a07b5ed · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Can Language Models Represent the Past without Anachronism? The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.423771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9169735f-0c69-4b3c-9509-6a0020c40cad · outbound

This paper cites AgentSims: An Open-Source Sandbox for Large Language Model Evaluation.

Can Language Models Represent the Past without Anachronism? AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.429464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce522fa-2270-4b4c-8b84-3cc26efea619 · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

Can Language Models Represent the Past without Anachronism? S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.435894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc307e61-df56-4b3a-b6af-4557a020bc30 · outbound

This paper cites Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? Work- ing Paper 31122, National Bureau of Economic Research, 2023.

Can Language Models Represent the Past without Anachronism? Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? Work- ing Paper 31122, National Bureau of Economic Research, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.443142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b01217c-4e71-4f66-b48d-ec572f539f79 · outbound

This paper cites Out of One, Many: Using Language Models to Simulate Human Samples.

Can Language Models Represent the Past without Anachronism? Out of One, Many: Using Language Models to Simulate Human Samples

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.452760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466c3260-9811-44e6-9fb7-15e1d283165e · outbound

This paper cites LLM Social Simulations Are a Promising Research Method.

Can Language Models Represent the Past without Anachronism? LLM Social Simulations Are a Promising Research Method

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.457884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be53139-2538-4988-8330-b978b6fdf9f7 · outbound

This paper cites Machine Bias.

Can Language Models Represent the Past without Anachronism? Machine Bias

Reference 15

Resolution: verified exact; doi, observed 2026-08-16T05:56:56.811356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 891ff85d-770a-46fa-841a-c923db7cd612 · outbound

This paper cites Synthetic Replacements for Human Survey Data? The Perils of Large Language Models, 2023.

Can Language Models Represent the Past without Anachronism? Synthetic Replacements for Human Survey Data? The Perils of Large Language Models, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.467992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e22d6d-e486-4c8c-8a10-5a1fc616d002 · outbound

This paper cites Machine Unlearning.

Can Language Models Represent the Past without Anachronism? Machine Unlearning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.472758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87962c5-9c83-4d06-a36f-f7d457e1ddd2 · outbound

This paper cites Mass-Editing Memory in a Transformer.

Can Language Models Represent the Past without Anachronism? Mass-Editing Memory in a Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.478837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49cf80ce-5733-4a03-a1be-6dbf0b82c8e9 · outbound

This paper cites Large Language Model Unlearning.

Can Language Models Represent the Past without Anachronism? Large Language Model Unlearning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.484215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb12eaa-c3de-49c0-8c19-ba597e1b9229 · outbound

This paper cites Model Editing with Canonical Examples.

Can Language Models Represent the Past without Anachronism? Model Editing with Canonical Examples

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.492896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936c3433-7692-4e84-8d9b-12155f0c6404 · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Can Language Models Represent the Past without Anachronism? Who's Harry Potter? Approximate Unlearning in LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.499087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0b5215-9791-489f-8ee8-14485a883a25 · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

Can Language Models Represent the Past without Anachronism? Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.504296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfd9b4d-58ba-4ba9-be4e-dd5345c728a2 · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

Can Language Models Represent the Past without Anachronism? In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.509529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8845e49-a4cf-4ab8-88f3-2af60f082f95 · outbound

This paper cites Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet.

Can Language Models Represent the Past without Anachronism? Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:56:57.229641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b314799-8d2b-4413-9090-eb0fda5dcd22 · outbound

This paper cites LLM training in simple, raw C/CUDA.

Can Language Models Represent the Past without Anachronism? LLM training in simple, raw C/CUDA

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:56:57.208785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9961764-ddc3-4554-8bdf-5d9054d7e411 · outbound

This paper cites New York: Frederick A.

Can Language Models Represent the Past without Anachronism? New York: Frederick A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:56:57.189874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dbda71e7-6e72-4f7b-bd66-244daeea0a2a · outbound

This paper cites Pretraining Lan- guage Models for Diachronic Linguistic Change Discovery, 2025.

Can Language Models Represent the Past without Anachronism? Pretraining Lan- guage Models for Diachronic Linguistic Change Discovery, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.530300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3caa18af-44dd-4e96-8b73-b20dc0abdb90 · outbound

This paper cites Truth and Method.

Can Language Models Represent the Past without Anachronism? Truth and Method

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:56:57.170916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e039ecf4-3e02-495b-b5c0-3edd99589e8b · outbound

This paper cites an unresolved cited work.

Can Language Models Represent the Past without Anachronism? Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:56.406627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 05819b65-bd19-4ef0-b2ff-623c1d44d8e3 · inbound

Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.

Computational Hermeneutics: Evaluating generative AI as a cultural technology Can Language Models Represent the Past without Anachronism?

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:48:27.109698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d215811-0309-469a-8ba5-929aec969499 · inbound

Stabilising Generative Models of Attitude Change cites this paper.

Stabilising Generative Models of Attitude Change Can Language Models Represent the Past without Anachronism?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:13:16.256685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e8dcaa0-bf7c-440d-8736-4eeb61553a4a · inbound

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models cites this paper.

On the Cultural Anachronism and Temporal Reasoning in Vision Language Models Can Language Models Represent the Past without Anachronism?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:15:04.028647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eaedfaf7-1d26-4328-8afa-8812c5985672 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Can Language Models Represent the Past without Anachronism?

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T15:02:18.949657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae9a2cc5-4f63-431d-9ed3-6cb3ac0da4ce · inbound

Pretraining Language Models on Historical Text cites this paper.

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

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:26:26.397781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f9f299f-8eea-4dbf-a1c0-35a460b472dc · inbound

TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking cites this paper.

TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking Can Language Models Represent the Past without Anachronism?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T13:22:24.892619Z

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Unavailable: canonical work link unavailable.

Observation 47b46409-4bf5-4f6a-9c8f-04bef053cb4d · inbound

Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation cites this paper.

Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation Can Language Models Represent the Past without Anachronism?

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-08T10:19:07.104825Z

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Unavailable: canonical work link unavailable.