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Automated Smart Contract Auditing

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On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus

arXiv:2606.07363v1 Announce Type: new Abstract: High-quality smart contract auditing datasets are crucial for evaluating security tools and advancing smart contract security research. Two major limitations of existing datasets are the manual-induced scalability bottleneck and the deficiency in data granularity and diversity.

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Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation

Announce Type: new Abstract: Smart contracts face critical security challenges that require thorough auditing in decentralized web services. While Large Language Models (LLMs) have shown promise in automated vulnerability detection, existing approaches lack severity evaluations with actionable remediation and demand unnecessarily massive computational overhead. In this study, we introduce an efficient end-to-end smart contract security audit framework utilizing lightweight, highly optimized...

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Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection

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