Cover Image

Adaptive Plan-Execute Framework for Smart Contract Security Auditing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Zhiyuan, Sun, Jing, Zhang, Zijian, Hou, Zhe, Zhao, Zixiao
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs
by: Wei, Zhiyuan, et al.
Published: (2024)

LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
by: Wei, Zhiyuan, et al.
Published: (2024)

SmartLLM: Smart Contract Auditing using Custom Generative AI
by: Kevin, Jun, et al.
Published: (2025)

SC-Bench: A Large-Scale Dataset for Smart Contract Auditing
by: Xia, Shihao, et al.
Published: (2024)

Distilling Lightweight Language Models for C/C++ Vulnerabilities
by: Wei, Zhiyuan, et al.
Published: (2025)

Large Language Model based Smart Contract Auditing with LLMBugScanner
by: Yuan, Yining, et al.
Published: (2025)

SoK: a Comprehensive Causality Analysis Framework for Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)

ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection
by: Zhao, Wei, et al.
Published: (2026)

AuditGPT: Auditing Smart Contracts with ChatGPT
by: Xia, Shihao, et al.
Published: (2024)

Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
by: Zhou, Ying, et al.
Published: (2026)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
by: Zaazaa, Oualid, et al.
Published: (2024)

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
by: Wang, Lingxiang, et al.
Published: (2025)

Agent Audit: A Security Analysis System for LLM Agent Applications
by: Zhang, Haiyue, et al.
Published: (2026)

Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)

EVMbench: Evaluating AI Agents on Smart Contract Security
by: Wang, Justin, et al.
Published: (2026)

Enhancing Smart Contract Security Analysis with Execution Property Graphs
by: Qin, Kaihua, et al.
Published: (2023)

Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization
by: Yu, Lei, et al.
Published: (2025)

Information-Dense Reasoning for Efficient and Auditable Security Alert Triage
by: Zhao, Guangze, et al.
Published: (2025)

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
by: Susan, Stefan-Claudiu, et al.
Published: (2026)

AI Agent Smart Contract Exploit Generation
by: Gervais, Arthur, et al.
Published: (2025)

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
by: Zhang, Xing, et al.
Published: (2026)

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
by: Huang, Tenghui, et al.
Published: (2025)

AI-Based Vulnerability Analysis of NFT Smart Contracts
by: Wang, Xin, et al.
Published: (2025)

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
by: Dai, Muzhi, et al.
Published: (2025)

Towards Secure and Trusted-by-Design Smart Contracts
by: Dargaye, Zaynah, et al.
Published: (2024)

Survey on Quality Assurance of Smart Contracts
by: Wei, Zhiyuan, et al.
Published: (2023)

A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
by: Zibaeirad, Arastoo, et al.
Published: (2024)

Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
by: Peng, Hongli, et al.
Published: (2025)

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
by: Xiao, ZeKe, et al.
Published: (2025)

LISA Technical Report: An Agentic Framework for Smart Contract Auditing
by: Sun, Izaiah, et al.
Published: (2025)

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)

Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
by: Van Woensel, William, et al.
Published: (2024)

Structured Security Auditing and Robustness Enhancement for Untrusted Agent Skills
by: Lv, Lijia, et al.
Published: (2026)

On the (In)Security of LLM App Stores
by: Hou, Xinyi, et al.
Published: (2024)

Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
by: Chin, Jia Hui, et al.
Published: (2025)

Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
by: Ozdag, Mesut
Published: (2025)

ESAA-Security: An Event-Sourced, Verifiable Architecture for Agent-Assisted Security Audits of AI-Generated Code
by: Filho, Elzo Brito dos Santos
Published: (2026)

An Effective and Cost-Efficient Agentic Framework for Ethereum Smart Contract Auditing
by: Hu, Xiaohui, et al.
Published: (2026)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
by: Karanjai, Rabimba, et al.
Published: (2025)