The growing publication rate of research papers has created an urgent need for better ways to fact-check information, assess writing quality, and identify unverifiable claims. We present Plato's Cave as an open-source, human-centered research verification system that (i) creates a directed acyclic graph (DAG) from a document, (ii) leverages web agents to assign credibility scores to nodes and edges from the DAG, and (iii) gives a final score by interpreting and evaluating the paper's argumentative structure. We report the system implementation and results on a collected dataset of 104 research papers.
Cite
@article{arxiv.2603.23526,
title = {Plato's Cave: A Human-Centered Research Verification System},
author = {Matheus Kunzler Maldaner and Raul Valle and Junsung Kim and Tonuka Sultan and Pranav Bhargava and Matthew Maloni and John Courtney and Hoang Nguyen and Aamogh Sawant and Kristian O'Connor and Stephen Wormald and Damon L. Woodard},
journal= {arXiv preprint arXiv:2603.23526},
year = {2026}
}