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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:10:57.567640Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T17:49:21.098232Z digest=sha256:7f938a1a5e1a64e7fa9d448b69574998268be41b967343de5ddd72c554d70636

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.

source=pdf_text observed=2026-08-07T21:10:57.567640Z digest=sha256:2a3b44b3cd4c8396bf7e375c9bc368e9c4f84ea59f153920bc502b4e9e3b8083

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T02:55:50.650423Z digest=sha256:fee756a95b0383a855e8c4606b5112e0114ba2dbbb5dbf1cdb46718004f56025

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.

source=pdf_text observed=2026-08-06T18:17:54.930965Z digest=sha256:c7819076ff0cfe0e75531349590a5bd3c708d20b0c4a27525807f570bfdf1c1b

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.

source=pdf_text observed=2026-08-06T16:39:37.344120Z digest=sha256:684f26a5d427104b781ef39227f9b3c17ca5167d91477459a23d035b5a10edf5

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.

source=pdf_text observed=2026-08-03T22:29:24.919733Z digest=sha256:0f23c11107ecac7a8f648dc511094967abd2e1cce92268ad5b810b24af1b5d4d

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.

source=arxiv_source observed=2026-08-03T11:35:39.862923Z digest=sha256:fba0fa8e874f43481e7bb7ef8520f9bc9de03cf4b4dc3fc0c0fdbce4ce900ce1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T13:11:05.299378Z digest=sha256:7dbb3122dac425f0cfddc53d042ebf83f99e90e6c8696924b4620bfbdc818465

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:03:49.101568Z digest=sha256:004825ec0e9366acb3163b6e0edb3e1a719b467ff812f47ef44348a09d90852a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T05:40:54.002702Z digest=sha256:fea1f9e08da16dab2d1e68b40f671ab896088ce7971b40e7415a74c4fd908d9a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-10T00:52:47.537142Z digest=sha256:01143d0b27f4a6953680d3f03d81736f08c8fc049e0e4f69ae8c3861c350c996