We demonstrate that large language models can produce reasonable numerical ratings of the logical consistency of claims. We also outline a mathematical approach based on sheaf theory for lifting such ratings to hypertexts such as laws, jurisprudence, and social media and evaluating their consistency globally. This approach is a promising avenue to increasing consistency in and of government, as well as to combating mis- and disinformation and related ills.
@article{arxiv.2401.16713,
title = {Prospects for inconsistency detection using large language models and sheaves},
author = {Steve Huntsman and Michael Robinson and Ludmilla Huntsman},
journal= {arXiv preprint arXiv:2401.16713},
year = {2024}
}