Paper Citation Record · LEDGER

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1

As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.20589.

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

pith.paper-citation-record.v1
2607.20589 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:26:42.754464Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fbefd98-c6a5-4e1d-a556-0b8b63d4802c · outbound

This paper cites Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:41.511721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b710c9b7-fd10-4f47-8d8a-f19e070d24e5 · outbound

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

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Out of One, Many: Using Language Models to Simulate Human Samples,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:41.592904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7d56b93-a23b-4cfa-94a1-bc1a2832ef3b · outbound

This paper cites LLMs Generate Structurally Realistic Social Networksbut Overestimate Political Homophily,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 LLMs Generate Structurally Realistic Social Networksbut Overestimate Political Homophily,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:41.703086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a93002-9281-49fa-beb3-b9749ec372b0 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Generative agents: Interactive simulacra of human behavior,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:41.798470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec602f49-0446-429b-8f4f-2d562dfe9925 · outbound

This paper cites MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:41.920135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3a466f-77bd-437c-a71f-6d0830efecdb · outbound

This paper cites LLM Generated Persona is a Promise with a Catch.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 LLM Generated Persona is a Promise with a Catch

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.026122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bcda6c-6943-4084-a785-2ca852b5042c · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.182869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e1b42ce-2ab7-4229-8ce9-7356c4ad48ad · outbound

This paper cites (2025) Introducing GPT-4.1 in the API.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2025) Introducing GPT-4.1 in the API

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.340836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f039d2-fc8c-44f3-b93c-3452197cdd92 · outbound

This paper cites PAARS: Persona Aligned Agentic Retail Shoppers,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 PAARS: Persona Aligned Agentic Retail Shoppers,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.475407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f1546c-9895-4eec-a9a9-836f1ce676d5 · outbound

This paper cites Artificial Intelligence Simulation of Adolescents’ Responses to Vaping-Prevention Messages,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Artificial Intelligence Simulation of Adolescents’ Responses to Vaping-Prevention Messages,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.605158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd52d83-a125-4629-bfea-55a478c600d7 · outbound

This paper cites From Persona to Personalization: A Survey on Role- Playing Language Agents,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 From Persona to Personalization: A Survey on Role- Playing Language Agents,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.726357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f04103d-61e5-49c0-9530-d7cbb6238fc7 · outbound

This paper cites PATIENTSIM: A Persona-Driven Simulator for Re- alistic Doctor-Patient Interactions,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 PATIENTSIM: A Persona-Driven Simulator for Re- alistic Doctor-Patient Interactions,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.731787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc37bbe7-6aec-49a6-98fd-eb15105100fc · outbound

This paper cites Character.AI,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Character.AI,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.735396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57b727d-b3d2-4a33-876c-c2bd52675766 · outbound

This paper cites In- Context Impersonation Reveals Large Language Models’ Strengths and Biases,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 In- Context Impersonation Reveals Large Language Models’ Strengths and Biases,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.738282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec870a7-099f-4f34-b917-e3696901db9f · outbound

This paper cites (2025) Personas.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2025) Personas

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.741002Z

Source-reported events for the cited work

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Observation c5ca99bd-b757-4bb4-8237-ad33961e09fe · outbound

This paper cites (2025) ANES 2024 Time Series Study Full Release [dataset and documentation].

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2025) ANES 2024 Time Series Study Full Release [dataset and documentation]

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.743691Z

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Observation f27f79f2-ee07-480c-ba10-ce30f1ce36e2 · outbound

This paper cites (2023) American Trends Panel Wave 123.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2023) American Trends Panel Wave 123

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.746559Z

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Observation dd262ebc-6060-42c5-b0bd-65c16fa5f9ef · outbound

This paper cites Llama-3.1-70b large language model,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 Llama-3.1-70b large language model,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.749126Z

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Unavailable: canonical work link unavailable.

Observation 029ea162-95ba-4baa-8913-6d7d412b09fd · outbound

This paper cites (2024) Election 2024: Presidential results.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 (2024) Election 2024: Presidential results

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.751392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703d9ed0-4875-4136-ae10-8c36f39db3e4 · outbound

This paper cites V oting patterns in the 2024 election,.

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1 V oting patterns in the 2024 election,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:42.754464Z

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Pith citing papers

No inbound Pith citation observations are available.