{"total":16,"rows":[{"id":"2502.07049","title":"LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights","created":"2025-02-10","cited_by_count":47,"area":null},{"id":"2411.06221","title":"Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation","created":"2024-11-09","cited_by_count":8,"area":null},{"id":"2503.10784","title":"Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview","created":"2025-03-13","cited_by_count":7,"area":null},{"id":"2501.07058","title":"Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities","created":"2025-01-13","cited_by_count":5,"area":null},{"id":"2208.13252","title":"MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities","created":"2022-08-28","cited_by_count":4,"area":null},{"id":"2309.08474","title":"VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2508.01371","title":"Prompt to Pwn: Automated Exploit Generation for Smart Contracts","created":"2025-08-02","cited_by_count":4,"area":null},{"id":"2409.04597","title":"Detecting Buggy Contracts via Smart Testing","created":"2024-09-06","cited_by_count":3,"area":null},{"id":"2304.10726","title":"Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts","created":"2023-04-21","cited_by_count":2,"area":null},{"id":"2407.18639","title":"Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis","created":"2024-07-26","cited_by_count":2,"area":null},{"id":"2409.10574","title":"Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities","created":"2024-09-15","cited_by_count":2,"area":null},{"id":"2304.10737","title":"Schooling to Exploit Foolish Contracts","created":"2023-04-21","cited_by_count":0,"area":null},{"id":"2503.01098","title":"Towards Automated Smart Contract Generation: Evaluation, Benchmarking, and Retrieval-Augmented Repair","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2505.08814","title":"Towards Understanding Deep Learning Model in Image Recognition via Coverage Test","created":"2025-05-12","cited_by_count":0,"area":null},{"id":"2601.06914","title":"Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2605.11163","title":"Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}