a symbolic-logic-based Feasibility Memory utilizes executable Python verification functions synthesized from failed transitions
大多数人认为LLM应该从成功经验中学习，但作者提出从失败过渡中合成验证函数的观点极具反直觉。这种方法将失败视为宝贵资源而非需要避免的问题，挑战了机器学习领域的主流优化思想。
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arxiv.org arxiv.org
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- Aug 2022
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Summarization of Methods for Smart Contract Vulnerabilities Detection
great reference table for SC vulenrabilities detection
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