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Ref Hallucination Arena

This benchmark verifies whether LLMs are citing real academic papers or making them up. It hits Crossref, PubMed, arXiv, and DBLP to check every reference your model returns, then scores hallucination rate, per-field accuracy (title, author, year, DOI), and discipline breakdown. You can run it with or without tool augmentation (ReAct plus web search). The pipeline saves checkpoints, generates markdown reports with charts, and supports year constraints in queries. Use it when you need hard numbers on citation reliability instead of vibes. Honestly, the fact that this needs to exist tells you something about current LLM behavior with references, but at least now you can measure the damage.

GitHub stars
657
last updated
Jun 9, 2026

Install

$ npx -y skills add agentscope-ai/openjudge --skill ref-hallucination-arena --agent claude-code

Installs into .claude/skills of the current project.

Files

This benchmark verifies whether LLMs are citing real academic papers or making them up. It hits Crossref, PubMed, arXiv, and DBLP to check every reference your model returns, then scores hallucination rate, per-field accuracy (title, author, year, DOI), and discipline breakdown. You can run it with or without tool augmentation (ReAct plus web search). The pipeline saves checkpoints, generates markdown reports with charts, and supports year constraints in queries. Use it when you need hard numbers on citation reliability instead of vibes. Honestly, the fact that this needs to exist tells you something about current LLM behavior with references, but at least now you can measure the damage.

Browse the repository on GitHub

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Details

Repository
github.com/agentscope-ai/openjudge
License
Apache-2.0
First seen
Jun 11, 2026

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