Paper Citation Record · LEDGER

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 4 inbound Pith citation observations for arXiv:2412.15291.

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

pith.paper-citation-record.v1
2412.15291 v4

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:10:31.555660Z

measured 16 of 16 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:35.223043Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.514581Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy4
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87ff79d9-0284-4af5-93c5-8471da70161f · outbound

This paper cites an unresolved cited work.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:10:31.776056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 648b0171-958d-449e-9959-6730a5c25643 · outbound

This paper cites Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:10:31.649432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 239fbbc7-dc72-4528-a3a4-039fc256d0b7 · outbound

This paper cites an unresolved cited work.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:10:31.739155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c0a523c-8322-4bb3-805c-265e1da0e15c · outbound

This paper cites 13 • Negative Value: Reflects a systematic under- estimation of P (s), indicating a bias toward the Democratic Party.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science 13 • Negative Value: Reflects a systematic under- estimation of P (s), indicating a bias toward the Democratic Party

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:10:31.720859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a88577a-c71f-48cf-b5a6-1d72480e8a22 · outbound

This paper cites In IIR, pages 3–8.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science In IIR, pages 3–8

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:10:31.794364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 629fdcff-5f85-4225-b8ba-e80193b86bcc · outbound

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

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:31.525018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85ac9ad-120b-4017-bc1b-0d2ac8e11739 · outbound

This paper cites • R(s): The actual proportion of votes in state s.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science • R(s): The actual proportion of votes in state s

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:10:31.756915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7363fa2c-aa70-49a4-b1d9-7fae65105c4e · outbound

This paper cites an unresolved cited work.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:10:31.702901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e214aad6-d0de-4e54-b8ce-d8f621bcb9a4 · outbound

This paper cites an unresolved cited work.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science Unresolved cited work

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T12:10:31.684685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 551dd55e-aa4f-4c77-872b-74e65c7e9212 · outbound

This paper cites us”’ and “them.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science us”’ and “them

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:10:31.810584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf7e701c-89a5-49f4-a03e-44f9027a5034 · outbound

This paper cites A Review on Language Models as Knowledge Bases.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science A Review on Language Models as Knowledge Bases

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:31.492427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f90f7bd-2d5b-4576-aaac-a488a813f40f · outbound

This paper cites LLMs generate structurally realistic social networks but overestimate political homophily.

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science LLMs generate structurally realistic social networks but overestimate political homophily

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:31.513218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e861cd0a-64a2-41c1-a3d0-94ada746a204 · inbound

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:35.223043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e585b86-3620-4e53-94b7-a152758b5ff6 · inbound

Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents cites this paper.

Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:46:01.130753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation add57a9d-25a1-45d6-9761-a5c5aae78b9e · inbound

GRADE: Graph Representation of LLM Agent Dependency and Execution cites this paper.

GRADE: Graph Representation of LLM Agent Dependency and Execution A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:39:46.516008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 547f1b8b-426b-4f1b-af44-2d96cd84eac9 · inbound

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions cites this paper.

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.414525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.