Paper Citation Record · LEDGER

Unmasking Conversational Bias in AI Multiagent Systems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2501.14844.

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

pith.paper-citation-record.v1
2501.14844 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:21.590426Z

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

2
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 4b17d909-632d-46f0-92bc-027cc2aa742f · inbound

Strategic Reflectivism In Intelligent Systems cites this paper.

Strategic Reflectivism In Intelligent Systems Unmasking Conversational Bias in AI Multiagent Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:21.590426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f445678f-a129-45ff-846e-10a87cc51779 · inbound

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity cites this paper.

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity Unmasking Conversational Bias in AI Multiagent Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:37.121633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f266b4-37c1-4127-847d-1de6d7c12c24 · inbound

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks Unmasking Conversational Bias in AI Multiagent Systems

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:30:53.173418Z

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 39d1e741-bc57-45ca-b58c-8a307e8a28c1 · inbound

LLM-Based Agentic Negotiation for 6G: Addressing Uncertainty Neglect and Tail-Event Risk cites this paper.

LLM-Based Agentic Negotiation for 6G: Addressing Uncertainty Neglect and Tail-Event Risk Unmasking Conversational Bias in AI Multiagent Systems

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:04:03.446845Z

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 005944d5-3f50-49fe-bec8-0899d9c62f59 · 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 Unmasking Conversational Bias in AI Multiagent Systems

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:01.121567Z

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 85e56d93-2ff6-4955-92f9-9f2794b17a03 · inbound

What if AI systems weren't chatbots? cites this paper.

What if AI systems weren't chatbots? Unmasking Conversational Bias in AI Multiagent Systems

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:25:57.697310Z

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 1881dc92-9329-473c-8afe-5202a949c8b3 · inbound

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups cites this paper.

Discriminatory Compliance: How LLMs Answer Queries from Protected Groups Unmasking Conversational Bias in AI Multiagent Systems

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-26T12:59:29.158749Z

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.