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Paper Citation Record · LEDGER

Evidence of a log scaling law for political persuasion with large language models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.14508.

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

pith.paper-citation-record.v1
2406.14508 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T17:49:21.098232Z

measured 0 of 1 external citation measurements

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T17:49:21.098232Z digest=sha256:446bf6954b835e6355b2e7fb6cf40080c1c37753fc5602695e67355614cb889d

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T02:55:50.650423Z digest=sha256:8c8f12b402d692d3e76862fcd4ece7fccacd2bcc5174cffe0ced613710354c79