Paper Citation Record · LEDGER

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.18932.

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

pith.paper-citation-record.v1
2403.18932 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:29:43.770825Z

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

3
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 ddf6aa66-4777-4903-a19d-554c4fad85a3 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.272886Z

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 bd9651cc-d0d8-4e48-83af-117e0e01ef25 · inbound

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models cites this paper.

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:29:43.770825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cb8693-ff77-4375-8636-502574c0c7a9 · inbound

Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks cites this paper.

Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:35.230018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5db3dab-2444-41cb-86f6-edb9cf45a175 · inbound

Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations cites this paper.

Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:10.097156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6734065-a5e4-49ca-ba1b-6968ba5affad · inbound

Auditing LLM Editorial Bias in News Media Exposure cites this paper.

Auditing LLM Editorial Bias in News Media Exposure Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T07:01:30.009484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c33c82-8e20-490c-a3a6-833be64b55cd · inbound

Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models cites this paper.

Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:39.720568Z

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 a180795c-cbdb-4c26-aad5-3a23976aa2b1 · inbound

Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.

Positive Alignment: Artificial Intelligence for Human Flourishing Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:59:47.728907Z

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 7f1e5a6d-fcaa-46ea-b3c3-0bd618962578 · inbound

Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering cites this paper.

Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:22.925263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.