Plato's Cave: A Human-Centered Research Verification System
Not on the map. Why?
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 27 references that are in the map. First posted on arXiv 6 Mar 2026.
Builds on
5 of 27 references.
References · 5
- 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
- 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,745
- 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,375
- 2020Fact or Fiction: Verifying Scientific Claimscited by 554
- 2023ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewingcited by 122
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2026Beyond Verdicts: A Graph-Based Analysis of Human and LLM Reasoning in Scientific Fact-Checking
- 2026Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis
- 2026ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
- 2026Beyond Natural Language: An Agent-Native Language for Autonomous Science
- 2026DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
- 2025FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
- 2025EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions
- 2026Checkpoints Are Not Enough: Trust Calibration in CoSLR, a Human-AI System for Systematic Literature Reviews