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arXiv · 2602.13808

An end-to-end agentic pipeline for smart contract translation and quality evaluation

Abhinav Goel·Chaitya Shah·Agostino Capponi·Alfio Gliozzo
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Abstract

We present an end-to-end framework for systematic evaluation of LLM-generated smart contracts from natural-language specifications. The system parses contractual text into structured schemas, generates Solidity code, and performs automated quality assessment through compilation and security checks. Using CrewAI-style agent teams with iterative refinement, the pipeline produces structured artifacts with full provenance metadata. Quality is measured across five dimensions, including functional completeness, variable fidelity, state-machine correctness, business-logic fidelity, and code quality aggregated into composite scores. The framework supports paired evaluation against ground-truth implementations, quantifying alignment and identifying systematic error modes such as logic omissions and state transition inconsistencies. This provides a reproducible benchmark for empirical research on smart contract synthesis quality and supports extensions to formal verification and compliance checking.

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Abhinav Goel, Chaitya Shah, Agostino Capponi, Alfio Gliozzo. 2026-02-14. An end-to-end agentic pipeline for smart contract translation and quality evaluation. https://arxiv.org/abs/2602.13808

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