YesNoError (YNE) is a decentralised initiative that utilises advanced Large Language Models (LLMs) to systematically audit scientific literature. Its primary objective is to scan and evaluate both existing and newly published papers for errors, ranging from simple arithmetic mistakes to intentional data falsification. The project aims to become a universal "literature audit" tool, providing researchers, institutions, and the public with an accessible means to verify scientific claims.

The YNE token enables users to request priority audits of specific research papers. By combining scalable AI audits with decentralised participation, YesNoError strives to safeguard scientific integrity on a global scale.

YesNoError was founded by Matt Schlicht and utilises OpenAI's o1 model as its technical foundation.