arXiv cs.AI
  • Score 84
  • Official

Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis

arXiv:2610.37830v1 Announce Type: new Abstract: 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. This gap matters most for smart contracts, the programs behind Web3 applications that move money on a blockchain and cannot be fixed once deployed. We ask how to check whether an AI-written contract behaves as it sho

So what

What this event means by reading role—not a longer recap.

  • BuilderAdd a pre-generation requirements checklist and an independently written executable answer key to your agent pipeline; the paper finds elicitation beats review
  • ResearcherProvides an execution-replay benchmark of 600 tasks showing common AI judges miss planted mistakes and that scoring choices materially change pipeline rankings.

Score dimensions

Higher total means read first. Each bar is one factor we use to rank the system pool. How we score

RelevanceHow tightly this is about AI.
78
ImpactHow much this could change the field or the market.
55
NoveltyHow new this is versus a recap.
72
CredibilityHow much we trust the source.
97
ActionabilityWhether a reader can do something with it.
60