mlsanityData to 14 Oct 2026

Plato's Cave: A Human-Centered Research Verification System

arXiv 2603.23526 ↗First posted 6 Mar 2026cs.CL cs.HC cs.MAcited by 0

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Abstract (arXiv)

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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References · 5

  1. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
  2. 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,745
  3. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,375
  4. 2020Fact or Fiction: Verifying Scientific Claimscited by 554
  5. 2023ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewingcited by 122

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  7. 2025EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions
  8. 2026Checkpoints Are Not Enough: Trust Calibration in CoSLR, a Human-AI System for Systematic Literature Reviews