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Paper Citation Record · LEDGER

Revealing Political Bias in LLMs through Structured Multi-Agent Debate

As of 8 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:d6cb3d19b03ecc0015d50d0c0ece9540fee36f399cd2322217d1ff8e7cbc874c

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=sha256:178a3a7f64a6ef68a4a5438d0e03d24e292005e240570d48baf241b66b048d7e

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=sha256:3dec09f5632506f3dbacee89de752db7e26e729e6069d089e5a037b36034353f

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=sha256:91914c69b70c80d1b987c6915acd0738726d6632345ab4abc8d0f7574a2ea328

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=sha256:06d9917fb9e7b9edf3ad5e1aec2d7aa1a9e0e4c050b60cf9b45bf0c542acd273

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=sha256:24af6c368f1dc4fb0bc8907c0b0f41048cfd0270b6a98f581880fde078da4451

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:d6d22e2badd97b123972118b7db67370d2714d79d7c9106e518e9adbad1b36dd

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=sha256:145633117a0477e98bc1e6e4b617e2a95f4d1019235df49547b60b15a7949bce

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=sha256:5e3afe27eb6cca5d4f4eb02b6b33b0daa5b0c3f9a578735d68a23a82af4bd6e6

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=sha256:3a47f4e1af293aab5394f02244ee2e90ee1d4135807cc2646b45e22bf1b91a22

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=sha256:74beead1d6a827455e60ea55d5ec7d88d675b7b12d03580f184a9a5eedc2f275

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:e35706e04a9be857d7aee141262768b7f43b2a45d2f63e6676aa4392a2d0bf2d

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=sha256:419c050755a15825d3c12458227db15656d6fbcac7f8e05016c12f673ddc6304

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=sha256:5fed7a3f5f76e2cd75c30af9318843e2f6462fba9aa7376772107b50d080a5c8

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=sha256:70439cf07406857f98f08c05b00968838aef4b3e9648ec8cc06cf25f2635ae00

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=sha256:2c52e02dbb8e0af15e66b4c42580c8a86837418c0b07a7be533fa88b51c1b289

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:e193b15c621d59eb18c014bd35c8d0cc60820a8ddfee47f8349e7abdda89738c

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:aef8e070800e4767fb6129e668449b050cd4cb28057a89e6ea457b0fcc3d7348

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=sha256:3756ab12a0786b79a84a11f82d2d3ffcaa31b1203d9de611a8b27c1630480093

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=sha256:9cba6ecd0a356963404bf41f15536c7adce57cb85df53e00eeffbc2451aa6924