Plato's Cave: A Human-Centered Research Verification System
Matheus Kunzler Maldaner, Raul Valle, Junsung Kim, Tonuka Sultan, Pranav Bhargava, Matthew Maloni, John Courtney, Hoang Nguyen, Aamogh Sawant, Kristian O'Connor, Stephen Wormald, Damon L. Woodard

TL;DR
Plato's Cave is an open-source system that uses a DAG and web agents to verify research claims, assess writing quality, and identify unverifiable statements in scientific papers.
Contribution
It introduces a novel human-centered verification system that combines graph analysis and web-based credibility scoring for research papers.
Findings
System implemented and tested on 104 papers
Effective in assessing credibility and argumentative structure
Provides a transparent, automated verification process
Abstract
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.
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Taxonomy
TopicsTopic Modeling · Misinformation and Its Impacts · Biomedical Text Mining and Ontologies
