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Paper Citation Record · LEDGER

Revealing Political Bias in LLMs through Structured Multi-Agent Debate

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2506.11825.

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

pith.paper-citation-record.v1
2506.11825 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:07.829791Z

measured 20 of 20 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:11:23.553461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:56:26.614272Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 815a709a-b2df-4823-818b-62ff8e21eee4 · outbound

This paper cites URL: " 'urlintro :=.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.774758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.774758Z digest=sha256:b161cd53755ef9fd614fecedc1354cf40ea59167de99006caba37c302ad99e6d

Observation 6e118ae1-f414-4de7-b53c-9dd5f75aecb6 · outbound

This paper cites write newline.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.778792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.778792Z digest=sha256:3183200c4b352d4ddd863bee91b00aa5cd2860f40f9764d55a93ee7f9618e4f5

Observation 7713eeb4-30d4-4160-88bc-0749dfed2ff1 · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.088086Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.782069Z digest=sha256:b3f93404a4e9f5007898528abd75196df416bacde963b4e9a322d0bd4eadc603

Observation 168f3edb-734c-4f61-803a-33927139195e · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.078867Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.784993Z digest=sha256:a8fcc82a83954a6b65f480545fc2020afd24a626197e580914259b9c0ec7d497

Observation f7fde9ca-03ed-4832-9748-7430353aa0f2 · outbound

This paper cites Simulating Opinion Dynamics with Networks of LLM-based Agents.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Simulating Opinion Dynamics with Networks of LLM-based Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.788381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.788381Z digest=sha256:9f72b94699d8d062f36ba5025117416d0ea8120c4b4642f6d1b87f37d27ee234

Observation fdb731bf-b155-4339-9849-8422e2dee65b · outbound

This paper cites Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.791681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.791681Z digest=sha256:c37d0b0026c85b09c853280e5a4ab8bc17f4b41701ebb756370593bb5eaae6b5

Observation 55048294-b6ba-4e28-8e4b-576de59da963 · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T04:07:07.870386Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.795421Z digest=sha256:25361d615f28006f4207f5eaf96ab8220fa46add9bcb16e0de84ebe41d00686b

Observation 4134abc3-8aa2-47b3-be29-617f9b780c71 · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.067597Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.798747Z digest=sha256:4fb2d58a9a300af8fad523f8217e1b344da6d3c12dbf238c7aceb807748db860

Observation f07c343f-7ef6-426c-9bf5-c0c306999d95 · outbound

This paper cites Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.802030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.802030Z digest=sha256:d73c52736eeb382fa0d184cf985e5dc67e46a9e88438c4d99d0d1f162f094b2c

Observation 0caa6242-c0d5-479e-8410-6ab50fd7abfb · outbound

This paper cites Anchoring Bias in Large Language Models: An Experimental Study.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Anchoring Bias in Large Language Models: An Experimental Study

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.805728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.805728Z digest=sha256:8ba3bc218dc1127b6d1700bdf8597e7eeb9ed08f64594573407782746848d5df

Observation 19fd7ff9-35e9-4592-829b-ed817e0b69f5 · outbound

This paper cites Montgomery.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Montgomery

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:07:08.058255Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.808908Z digest=sha256:5018745d8c9bd6735a5d23c3f267aca2a1cb8c9450570b734ff722d767e1e576

Observation eefdb4cc-3fe7-4745-8c78-f1ae8f2f3037 · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.048490Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.811725Z digest=sha256:d6df382b35f59154e0c0d3857a2aaba7023441aaa2b353c5f6e159002a6fc9f5

Observation 06e8cff5-2344-449e-bffa-4bca73b4e62e · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.038833Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.814996Z digest=sha256:fd95a0d1ed2af832bd2a6e5276e1850a881fe144a7c3d403b62f33779c18e4c0

Observation d1d538a5-99a6-4964-8e40-6157fdeeea27 · outbound

This paper cites Sunstein.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Sunstein

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.817864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.817864Z digest=sha256:ba410c5789a87f8331e09dfb20a10957942d0f1144aa95fe2a2c9c15c783b631

Observation 2ca26447-903c-4465-9438-56427add0497 · outbound

This paper cites Systematic Biases in LLM Simulations of Debates.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Systematic Biases in LLM Simulations of Debates

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.820650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.820650Z digest=sha256:c137c78195e60e9d9dfea93042aa11f2410d8f9370ba2d94ee2107dc64d5ac6b

Observation bbcd6eb4-4ad1-4407-b1ff-d7cd2d376c3a · outbound

This paper cites Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.823626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.823626Z digest=sha256:9f31d84d7e23b674b179aff7c0565c5023f90dfccf7ceccfeeacd11f9dc4b3da

Observation 0a1ce39f-4fa2-471e-b344-d602a4ac7cda · outbound

This paper cites Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:07.826826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:07.826826Z digest=sha256:29329abe2f00ff4ce7f941e1f0effadcbcbeaa68361f07ef9e99112594e8164d

Observation b7d26ffc-7253-48e2-8a8e-d210ceb32a9a · outbound

This paper cites an unresolved cited work.

Revealing Political Bias in LLMs through Structured Multi-Agent Debate Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:07:08.029024Z

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.

source=arxiv_source observed=2026-08-07T04:07:07.829791Z digest=sha256:4ba5d3ea69c7f8221415d870f1661bc8efefc2c25a6e0fd08af62aacd7f8ebbe

Pith citing papers

Observation bc9d8a09-7f2a-47cc-a630-aeac8002a6d1 · inbound

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review cites this paper.

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review Revealing Political Bias in LLMs through Structured Multi-Agent Debate

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:26:01.084693Z

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.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:d054ac295357988df4756d0f964706fed181f1c1e838399f0e429de37f8485e7

Observation 19c8e2cc-5559-4079-b529-4eb2376762f2 · inbound

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis cites this paper.

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis Revealing Political Bias in LLMs through Structured Multi-Agent Debate

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:56:26.616895Z

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.

source=pdf_text observed=2026-05-07T08:52:10.092292Z digest=sha256:af5b766a8b6a0dadc6d684974155926290db65b7449a08495c09f3f591cd0446