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Paper Citation Record · LEDGER

Assessing Political Bias in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.13041.

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

pith.paper-citation-record.v1
2405.13041 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:54.498536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:33:04.532013Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3e140b54-9e7b-486a-8534-c28b0f28c656 · inbound

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

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Assessing Political Bias in Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T00:04:57.406867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:04:57.406867Z digest=sha256:17064b93f03a984f3f66456c40926d76708fe303704f4a63fa76a3bb9afd8f73

Observation f4d6d5a5-18eb-4e77-bad6-debd0efcd65b · inbound

Benchmarking Multi-National Value Alignment for Large Language Models cites this paper.

Benchmarking Multi-National Value Alignment for Large Language Models Assessing Political Bias in Large Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T12:24:54.498536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:24:54.498536Z digest=sha256:89fce4e3489f8f53f94823adb8997ddd6bc63d4aff16963da56afe0e24a3608a

Observation 43053cdb-b5f4-4f5a-a48a-278bbacd09ae · inbound

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts cites this paper.

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts Assessing Political Bias in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T23:39:28.536631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:39:28.536631Z digest=sha256:665e0bef3646ef87e35e906102e49f2bd09359a4bf9808c606a6346551f23c2d

Observation a28f59a6-cab4-4a43-a179-841ca01abedb · inbound

Learn, Explore and Reflect by Chatting: Understanding the Value of an LLM-Based Voting Advice Application Chatbot cites this paper.

Learn, Explore and Reflect by Chatting: Understanding the Value of an LLM-Based Voting Advice Application Chatbot Assessing Political Bias in Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T21:26:12.119067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:12.119067Z digest=sha256:58f2c26401fa59522a07770f4182b106c65b4f5fdf83ae97ab1eb43fe3f44ce9

Observation 60ebaded-c996-4171-86f7-27cdd751c592 · inbound

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models cites this paper.

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models Assessing Political Bias in Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:42.632611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:14:42.632611Z digest=sha256:f42f9766094bbc1c4a23611aec92a0848edb5dddd1fe927fe75c4eb6e0644270

Observation a192af34-c3fa-4b31-b8f8-eef68b2ad86b · inbound

Echoes of Agreement: Argument Driven Opinion Shifts in Large Language Models cites this paper.

Echoes of Agreement: Argument Driven Opinion Shifts in Large Language Models Assessing Political Bias in Large Language Models

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T21:33:04.623723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T21:33:04.145147Z digest=sha256:f3db8837d7721ae0a02a49843afb47763972213548b8f57c3eb43be48b1a71f0