Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods | Paper Citation Record

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This paper cites Lazer, A.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Lazer, A

Reference 1

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This paper cites When Communicat ion Meets Computation: Opportuni- ties, Challenges, and Pitfalls in Computational Communica tion Science.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods When Communicat ion Meets Computation: Opportuni- ties, Challenges, and Pitfalls in Computational Communica tion Science

Reference 2

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This paper cites Chat GPT outperforms crowd workers for text- annotation tasks.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Chat GPT outperforms crowd workers for text- annotation tasks

Reference 3

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This paper cites “HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Oﬀensive , and Toxic Comments on Social Media.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods “HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Oﬀensive , and Toxic Comments on Social Media

Reference 4

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This paper cites Do AIs Know What the Most Important Issue is? Using Language M odels to Code Open-Text Social Survey Responses At Scale, August 2023.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Do AIs Know What the Most Important Issue is? Using Language M odels to Code Open-Text Social Survey Responses At Scale, August 2023

Reference 5

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This paper cites DeVerna, Harry Yaojun Yan, Kai-Cheng Yang, an d Filippo Menczer.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods DeVerna, Harry Yaojun Yan, Kai-Cheng Yang, an d Filippo Menczer

Reference 6

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This paper cites Embracing Dialectic Intersubjectivity: Coordination of D iﬀerent Perspectives in Content Analysis with LLM Persona Simulation, February 2025.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Embracing Dialectic Intersubjectivity: Coordination of D iﬀerent Perspectives in Content Analysis with LLM Persona Simulation, February 2025

Reference 7

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This paper cites Goodby e human annotators? Content analysis of social policy debates using ChatGPT.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Goodby e human annotators? Content analysis of social policy debates using ChatGPT

Reference 8

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This paper cites The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs

Reference 9

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This paper cites Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science

Reference 10

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This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large Language Models Cannot Self-Correct Reasoning Yet

Reference 11

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This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 12

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This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 13

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This paper cites CultureLLM: Incorporating Cultural Differences into Large Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods CultureLLM: Incorporating Cultural Differences into Large Language Models

Reference 14

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This paper cites Robertson, Steve Rathje, Jochen Hartm ann, Saif M.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Robertson, Steve Rathje, Jochen Hartm ann, Saif M

Reference 15

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This paper cites Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?

Reference 16

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This paper cites Argyle, Ethan C.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Argyle, Ethan C

Reference 17

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This paper cites Clinton, Cassy Dorﬀ, Brenton Ke nkel, and Jennifer M.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Clinton, Cassy Dorﬀ, Brenton Ke nkel, and Jennifer M

Reference 18

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This paper cites AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction

Reference 19

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 20

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This paper cites Language Models Trained on Media Diets Can Predict Public Opinion, March 2023.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Language Models Trained on Media Diets Can Predict Public Opinion, March 2023

Reference 21

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This paper cites Goldberg, Seth A.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Goldberg, Seth A

Reference 22

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This paper cites Simulating Climate Change Discussion with Large Language Models: Cons iderations for Science Communication at Scale.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Simulating Climate Change Discussion with Large Language Models: Cons iderations for Science Communication at Scale

Reference 23

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This paper cites Donald Trumps in the Virtual Polls: Simulating and Predicting Public Opinions in Surveys Using Large Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Donald Trumps in the Virtual Polls: Simulating and Predicting Public Opinions in Surveys Using Large Language Models

Reference 24

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This paper cites Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy

Reference 25

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This paper cites Can Large Language Mo dels Accurately Predict Public Opinion? A Review.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Can Large Language Mo dels Accurately Predict Public Opinion? A Review

Reference 26

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This paper cites Performance and biases of Large Lang uage Models in public opinion simulation.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Performance and biases of Large Lang uage Models in public opinion simulation

Reference 27

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This paper cites Large language models display human-like soci al desirability biases in Big Five personality surveys.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large language models display human-like soci al desirability biases in Big Five personality surveys

Reference 28

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Fairness in LLM-Generated Surveys

Reference 29

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This paper cites Aligning Language Models to User Opinions.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Aligning Language Models to User Opinions

Reference 30

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Xue, Peter S

Reference 31

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Whose Opinions Do Language Models Reflect?

Reference 32

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This paper cites More human than human: measuring ChatGPT political bias.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods More human than human: measuring ChatGPT political bias

Reference 33

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This paper cites What shapes your bias?.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods What shapes your bias?

Reference 34

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This paper cites Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models, May 2025.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models, May 2025

Reference 35

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Wichmann

Reference 36

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Thomas McCoy, Ellie Pavlick, and Tal Linzen

Reference 37

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

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This paper cites Do LLMs exhibit human-like response biases? A case study in survey design.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Do LLMs exhibit human-like response biases? A case study in survey design

Reference 39

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Watts, and Mark E

Reference 40

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 41

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Two-Component Models of Socially Desi rable Responding

Reference 42

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Argyle, Christopher A

Reference 43

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Costello, Gordon Pennycook, and David G

Reference 44

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This paper cites Engagement-Driven Content Generation with Large Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Engagement-Driven Content Generation with Large Language Models

Reference 45

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Fisher, Jennifer Pan, Yulia Tsvetkov, and Katharina Reinecke

Reference 46

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This paper cites Evaluating the per suasive inﬂuence of political microtargeting with large language models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Evaluating the per suasive inﬂuence of political microtargeting with large language models

Reference 47

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This paper cites Collaborating with AI Agents: Field Experiments on Teamwork, Produc- tivity, and Performance, March 2025.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Collaborating with AI Agents: Field Experiments on Teamwork, Produc- tivity, and Performance, March 2025

Reference 48

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 49

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This paper cites Bakker, Daniel Jarre tt, Hannah Sheahan, Martin J.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Bakker, Daniel Jarre tt, Hannah Sheahan, Martin J

Reference 50

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Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 51

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This paper cites Auditing multimodal large language m odels for context-aware content moderation, February 2025.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Auditing multimodal large language m odels for context-aware content moderation, February 2025

Reference 52

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This paper cites Generative AI may backfire for counterspeech.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Generative AI may backfire for counterspeech

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:39.583000Z

Source-reported events for the cited work

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Observation 049211cf-85a7-4774-a832-df79032a0b98 · outbound

This paper cites an unresolved cited work.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:17:47.157853Z

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Observation 517fd0d5-01bd-4d10-96e5-589f1be9d576 · outbound

This paper cites How persuasive is AI-generated propaganda? PNAS Nexus , 3(2):pgae034, February 2024.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods How persuasive is AI-generated propaganda? PNAS Nexus , 3(2):pgae034, February 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.987910Z

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Observation cfa508ad-652b-43b6-8a21-8e16795464c7 · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:39.911129Z

Source-reported events for the cited work

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Observation 29a51747-ce9f-48dc-b7c3-5486173a3da4 · outbound

This paper cites Artiﬁcial In telligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide, March 2025.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Artiﬁcial In telligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide, March 2025

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:39.993666Z

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Unavailable: canonical work link unavailable.

Observation 20a2701e-fc18-453c-9d38-71024c10af20 · outbound

This paper cites an unresolved cited work.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:17:46.853906Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a93346f8-2a30-45f2-8056-5eee4c92fafe · outbound

This paper cites Predicting Results of Social Science ExperimentsUsing Large Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Predicting Results of Social Science ExperimentsUsing Large Language Models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.719604Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cb129e5-0f3c-4fa4-b585-a876a8491964 · outbound

This paper cites Jac kson.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Jac kson

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.602208Z

Source-reported events for the cited work

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Observation 74111984-5672-4aa6-917e-98258aedb84e · outbound

This paper cites Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.333876Z

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Unavailable: canonical work link unavailable.

Observation 0a704604-b87b-4e7d-97f4-1850ec808c3c · outbound

This paper cites Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.435854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf97128-0ab0-4a6f-91f0-2da216323df0 · outbound

This paper cites Predicting Field Experiments with Large Language Models.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Predicting Field Experiments with Large Language Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:17:43.748830Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 871b1a22-54fd-4978-9d4b-8e848cefb432 · outbound

This paper cites Can Generative AI agents behave like humans? Evidence from laboratory market experiments.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Can Generative AI agents behave like humans? Evidence from laboratory market experiments

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.603069Z

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Observation 68acbd0d-7741-4cd9-a27c-d666fcf88219 · outbound

This paper cites OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods OASIS: Open Agent Social Interaction Simulations with One Million Agents

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.693940Z

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Observation 6850e707-7622-44b3-8536-5155e04118c1 · outbound

This paper cites Simulating Opinion Dynamics with Networks of LLM-based Agents.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Simulating Opinion Dynamics with Networks of LLM-based Agents

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.767768Z

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Observation e688a3a9-75bc-4522-9b1a-f33319b67298 · outbound

This paper cites Bernstein.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Bernstein

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.491135Z

Source-reported events for the cited work

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Observation 97547cb5-b0d9-4e21-bd99-444f2289a68d · outbound

This paper cites Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy, October 2024.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy, October 2024

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.997777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5987682d-e9bb-4711-a4f4-a11a3b361ce4 · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:41.089367Z

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Observation aa0372a1-aa78-483b-9c60-8154e6fdde4b · outbound

This paper cites Modelling Political Coalition Negotiations Using LLM-based Agents.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Modelling Political Coalition Negotiations Using LLM-based Agents

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:41.177069Z

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Observation e05bcfc3-f874-4d8b-a5ba-253bf9462b2a · outbound

This paper cites Artiﬁcial Leviathan: Exploring Social Evolu tion of LLM Agents Through the Lens of Hobbesian Social Contract Theory, July 2024.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Artiﬁcial Leviathan: Exploring Social Evolu tion of LLM Agents Through the Lens of Hobbesian Social Contract Theory, July 2024

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.365523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cf1600c-9e32-4085-8359-a1716847d20e · outbound

This paper cites What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:17:43.422707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fc7ac8a-ee63-494e-8e22-1d3912c91a93 · outbound

This paper cites Large language models empowered agent-based modeling and s imulation: a survey and perspectives.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large language models empowered agent-based modeling and s imulation: a survey and perspectives

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.295089Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eda4aff0-6536-4c9e-bb0a-529c3facb64b · outbound

This paper cites From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:41.736737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60deeb2a-cc3c-4030-bce1-2a837ac128cf · outbound

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

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods A survey on large language model based autonomous agents

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.111264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d89e136d-0379-4b6a-8dd3-2c00eed720c1 · outbound

This paper cites an unresolved cited work.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:17:45.892556Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 963aa3ad-ed28-44fa-bf3f-f691ee3f07b8 · outbound

This paper cites Yeager, Christop her J.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Yeager, Christop her J

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.715082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfc26963-6589-4c93-b8f4-9ec97e7f21c9 · outbound

This paper cites Generative AI Mee ts Open-Ended Survey Responses: Research Participant Use of AI and Homogenization.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Generative AI Mee ts Open-Ended Survey Responses: Research Participant Use of AI and Homogenization

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.556631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2594c68-2c4f-446d-ac04-a56299d76205 · outbound

This paper cites an unresolved cited work.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:17:45.405677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f78e518f-87cd-4213-b8c4-4cd99d131aa5 · outbound

This paper cites Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks, August 2023.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks, August 2023

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.277538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86ed4e34-e025-414f-bd74-5709a4655af6 · outbound

This paper cites People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:42.408237Z

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Observation 85111367-0065-4c7b-a561-54f7049ea22c · outbound

This paper cites Integrating Genera tive Artiﬁcial Intelligence into Social Sci- ence Research: Measurement, Prompting, and Simulation.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Integrating Genera tive Artiﬁcial Intelligence into Social Sci- ence Research: Measurement, Prompting, and Simulation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.151339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d023711f-2450-4cac-9919-3bc3cc0f57a1 · outbound

This paper cites Large AI models are cultural and social technologies.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Large AI models are cultural and social technologies

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.005866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f09fa390-66ca-4b3c-afd0-4a23c4747065 · outbound

This paper cites an unresolved cited work.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:17:44.841197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers