AI Research

    Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis

    A study examines the gap between executable smart contracts and the requests they are meant to fulfill.

    AI agents can now write software from a plain-English description, but code that runs is not the same as code that does what was asked.

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    ArXiv CS.AI

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    ArXiv CS.AI
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    Smart contracts can execute correctly while still violating what a user intended. Measuring that gap matters as AI agents increasingly turn plain-language requests into code.

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