paper_type.json (356B)
1 { 2 "paper_type": "empirical", 3 "reason": "The paper presents SmartFuzz, a new LLM-driven system for smart contract vulnerability detection, and validates it through quantitative experiments showing percentage improvements over baselines and real-world detection rates; the primary contribution is experimental findings, not a benchmark dataset itself." 4 }