Paper Citation Record · LEDGER

The Levers of Political Persuasion with Conversational AI

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2507.13919.

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

pith.paper-citation-record.v1
2507.13919 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:21:32.576722Z

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 bb813b88-501c-4d6a-80f8-07f5f88e6c52 · inbound

AI Propaganda factories with language models cites this paper.

AI Propaganda factories with language models The Levers of Political Persuasion with Conversational AI

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:21:32.576722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d8915d-886c-4f16-86f4-2aa908f1cbc4 · inbound

Tailored untruths: How personalisation challenges LLM safeguards cites this paper.

Tailored untruths: How personalisation challenges LLM safeguards The Levers of Political Persuasion with Conversational AI

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T09:55:53.411862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e67b9f-3df9-494f-b363-4c63cf118870 · inbound

Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities cites this paper.

Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities The Levers of Political Persuasion with Conversational AI

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:54:20.091698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da1004d2-556b-440d-98d7-0b1c9692e835 · inbound

Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse cites this paper.

Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse The Levers of Political Persuasion with Conversational AI

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:55:30.981703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9bc050e-8a76-47aa-aded-c14d313487c2 · inbound

Large language models can effectively convince people to believe conspiracies cites this paper.

Large language models can effectively convince people to believe conspiracies The Levers of Political Persuasion with Conversational AI

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T11:53:57.455965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134fdeed-17da-40e6-a48b-5cda6ac53524 · inbound

Talk2AI: A Longitudinal Dataset of Human--AI Persuasive Conversations cites this paper.

Talk2AI: A Longitudinal Dataset of Human--AI Persuasive Conversations The Levers of Political Persuasion with Conversational AI

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:50.191514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 83929913-0689-41d0-83a7-877a15c53696 · inbound

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies cites this paper.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The Levers of Political Persuasion with Conversational AI

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:18:32.669643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 56123e03-b613-403c-bd79-81f9b8ade6bd · inbound

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations cites this paper.

Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations The Levers of Political Persuasion with Conversational AI

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:07.904248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da4b8bb3-e7b3-43a4-9ec2-897861331196 · inbound

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing cites this paper.

A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing The Levers of Political Persuasion with Conversational AI

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:47.554783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b846a3f3-5c85-47b9-a971-1a4b003b41f2 · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games The Levers of Political Persuasion with Conversational AI

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.617014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd976756-a2dd-4532-8c6d-0cc57974b7c8 · inbound

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action cites this paper.

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action The Levers of Political Persuasion with Conversational AI

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.651777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.