Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evidence of a log scaling law for political persuasion with large language models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.14508.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:55:57.516423Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:53:19.199954Z
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 4d2626b3-459a-441d-86bd-bf30f847c6c9 · 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 Evidence of a log scaling law for political persuasion with large language models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:53:19.203281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9c06297b-dbfa-4a6d-8463-5918bcb6ef83 · inbound
AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting cites this paper.
AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting Evidence of a log scaling law for political persuasion with large language models
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T02:57:26.389081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4e372b26-7714-47c4-b244-f466f513431a · inbound
Can You Trick the Grader? Adversarial Persuasion of LLM Judges cites this paper.
Can You Trick the Grader? Adversarial Persuasion of LLM Judges Evidence of a log scaling law for political persuasion with large language models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:55:57.516423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.