Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.17753.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:41:06.392684Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:53:19.172975Z
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 816f60f6-bbef-43dc-9638-ad1597c3485a · 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 Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:53:19.176172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d75ae92-2f73-4483-be96-6d3808f1d62f · inbound
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models cites this paper.
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:41:06.392684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 319f121d-f7be-4b3d-bb7c-32c8f7e5aaca · inbound
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models cites this paper.
AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:48:18.736717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4daf4eb6-48d7-4ec4-8c8b-398f8a9797ba · inbound
Tailored untruths: How personalisation challenges LLM safeguards cites this paper.
Tailored untruths: How personalisation challenges LLM safeguards Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:55:53.526794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b88576f-89c4-48ea-957b-b612d298f715 · inbound
It Matters How You Say It: Exploring Rhetorical Patterns for AI-Assisted Information Evaluation cites this paper.
It Matters How You Say It: Exploring Rhetorical Patterns for AI-Assisted Information Evaluation Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:30:01.143794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.