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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