Paper Citation Record · LEDGER

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2208.10264.

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

pith.paper-citation-record.v1
2208.10264 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:35:21.894747Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

124
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 06fe777c-3b15-40c3-95c6-5b330002b8a2 · inbound

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

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:49:13.981556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0afc31c6-8a4d-40e7-a613-eb224692a324 · inbound

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators cites this paper.

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:13:04.770786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95cc6aa1-b101-4f66-9355-babaafed77be · inbound

Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities cites this paper.

Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:35:21.894747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95dc3be5-960c-4551-b775-52b05fdd94fa · inbound

Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives cites this paper.

Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:38.114365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd2b779-004e-4012-8004-919d5080dcbb · inbound

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs cites this paper.

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T00:04:56.987379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0f1d9a-d611-448f-b055-ada43be48210 · inbound

AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations cites this paper.

AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:12:03.263203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d506914-d6ea-4a4f-aff1-a07a012b129f · inbound

Modeling Earth-Scale Human-Like Societies with One Billion Agents cites this paper.

Modeling Earth-Scale Human-Like Societies with One Billion Agents Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:47.273240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2ba681-0c3f-4035-b6c4-5123878f06c5 · inbound

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games cites this paper.

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:00:10.021708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 302eeca7-d900-44d7-99b4-dbd5e19d1bf4 · inbound

Using AI to replicate human experimental results: a motion study cites this paper.

Using AI to replicate human experimental results: a motion study Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T17:37:30.023736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49652de-9d62-4443-8b98-bbca361f65f8 · inbound

Super-additive Cooperation in Language Model Agents cites this paper.

Super-additive Cooperation in Language Model Agents Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T17:54:58.941954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d529d2-e6fa-4402-b802-a585b748fd05 · inbound

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow cites this paper.

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:11:40.300272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ed6a846-65b7-44d0-b716-c8d8645bf25b · inbound

Large language models replicate and predict human cooperation across experiments in game theory cites this paper.

Large language models replicate and predict human cooperation across experiments in game theory Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:43:36.638666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa711ea-e481-481e-abe6-c84673303dd4 · inbound

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task cites this paper.

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:50:42.348787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 783e6e30-0052-4426-8bb2-af259f1ad284 · inbound

Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding cites this paper.

Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:20:16.333757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a447bbdd-2af1-47d5-9340-104877c0a999 · inbound

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook cites this paper.

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:46:26.932877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a792ca19-ceb4-447a-9a93-619d9fae7c56 · inbound

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook cites this paper.

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:55.288427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98c3a024-dd98-48a9-87a5-562de77ecabc · inbound

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook cites this paper.

Frame Entrepreneurs in an AI Agent Community: Concentrated Identity-Claim Production on Moltbook Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:57:28.398441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d21ae56b-fa75-4979-83d5-97ff45f511eb · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:16:09.927347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf3a5be8-a391-4e4e-ace2-921e3a898c42 · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:46:44.412794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9d4be56-f89d-458e-bc29-5c63f4316bd8 · inbound

Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations cites this paper.

Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:27:24.306223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c3174f6-8c84-4dc4-ae5b-938eb5110f7d · inbound

Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension cites this paper.

Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:49.930770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd055976-b15c-4381-ab66-135f5ab87cff · inbound

Teaching Values to Machines: Simulating Human-Like Behavior in LLMs cites this paper.

Teaching Values to Machines: Simulating Human-Like Behavior in LLMs Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:13:16.270907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f605f334-72df-45fb-8676-21fcedbe8011 · inbound

Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional Judgment cites this paper.

Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional Judgment Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T10:10:48.545763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8cc5b629-9469-4d3b-943e-b9595ed833fc · inbound

Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional Judgment cites this paper.

Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional Judgment Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T18:05:20.910046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37db19f9-535d-473a-aafe-24582d1624bd · inbound

Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers cites this paper.

Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.772643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.