AI RESEARCH
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
arXiv CS.AI
•
ArXi:2605.09350v1 Announce Type: new Smart-contract exploits have caused billions of USD in cumulative losses, yet audits remain expensive and slow. Automated tools have emerged to close this gap, but each class has a characteristic failure mode. Static analyzers report findings that frequently fail manual triage at high rates, while large language models (LLMs) hallucinate findings that contradict the source code.