Paper Citation Record · LEDGER

On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2403.14380.

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

pith.paper-citation-record.v1
2403.14380 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:19.385046Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:56:41.038358Z

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 ce6969b7-8a4f-4eac-bf32-163cc12d6690 · inbound

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications cites this paper.

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:53:19.181468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a70f03a-6aa7-427d-9809-d6d93be62c2e · inbound

Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment cites this paper.

Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:15:02.624102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2e2c09-7e03-4e14-82a8-6339411c20fb · inbound

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation cites this paper.

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T17:12:57.248684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be73e93-458e-438d-bb6e-fe44d0d381f0 · inbound

Engagement-Driven Content Generation with Large Language Models cites this paper.

Engagement-Driven Content Generation with Large Language Models On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T16:48:50.779701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd41a0e6-b131-459f-80b6-8ec301f31700 · inbound

Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation cites this paper.

Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T18:59:31.679480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3b758c-01ec-4f00-8584-2d1dbeda2f49 · inbound

What AI evaluations for preventing catastrophic risks can and cannot do cites this paper.

What AI evaluations for preventing catastrophic risks can and cannot do On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:21.012376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70ed6c3-1c81-466c-bbae-c4488dfb5d3f · inbound

Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics cites this paper.

Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T04:45:43.178229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96fff216-abd7-4442-b158-a6de232af6e0 · inbound

Verbalized Bayesian Persuasion cites this paper.

Verbalized Bayesian Persuasion On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-09T14:57:41.609358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ba89a7-19fb-4ebd-907b-e1c3217381dc · inbound

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages cites this paper.

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T21:10:57.567640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd494088-3058-449d-a758-508906d1667a · inbound

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting cites this paper.

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:57:26.383784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39259c59-73e2-4efe-8f16-24978ad7e3d9 · inbound

AI Safety Should Prioritize the Future of Work cites this paper.

AI Safety Should Prioritize the Future of Work On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T12:32:19.385046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c708167-515c-4f48-bc22-609a74d91b15 · inbound

Aspirational Affordances of AI cites this paper.

Aspirational Affordances of AI On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:30:33.207678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ac0976-3157-4503-b81a-205e35092483 · inbound

Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial cites this paper.

Large Language Model Chatbot Conversations vs Public Health Materials and Parental HPV Vaccination Intentions: A Randomized Clinical Trial On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:31:19.367142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f1cde9-c64a-4b64-8f2f-593ffd8846e6 · inbound

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising cites this paper.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:17:54.930965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9fe1ac-4046-4eec-97e9-b50e3d3713ca · inbound

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework cites this paper.

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:37.344120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec20f57-4de3-43f5-8aa4-6b9ff5eebc03 · inbound

Effects of Personality- and Opinion-Alignment in Human-AI Interaction cites this paper.

Effects of Personality- and Opinion-Alignment in Human-AI Interaction On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T22:29:24.919733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a147e8b6-9ff0-4364-b462-e5568a339492 · inbound

Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns cites this paper.

Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T11:35:39.862923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ec6f49-3e4e-4bf8-90c0-3e764eb19744 · inbound

Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions cites this paper.

Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:01:26.192922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea6b3ea0-91f5-425f-85ea-7cbd87d77f2f · 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 On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.641419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 708ab3ad-373e-49ae-ae12-b317a5c0fc9f · 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 On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.659306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 509d2386-3c32-4c88-96b2-9dade0ba894b · inbound

Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring cites this paper.

Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:56:41.039927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8dbdfd25-f856-4260-ad39-062d92367cd5 · inbound

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation cites this paper.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.927346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.