Vibe-Coded and Tuned: A State-of-the-Art SMT Solver for QF-LRA

2026-09-15

AI Summary

本文介绍了一种名为primo的SMT求解器，通过振动编码和参数调优的方法，在线性实数算术(QF-LRA)问题上取得了领先成果。

Abstract

This paper presents the SMT solver primo, which is fully vibe-coded and then parameter-tuned, achieving state-of-the-art results on linear real arithmetic (QF-LRA). The performance of primo is achieved by a systematic literature survey, repeated profiling, and parameter tuning. The resulting solver outperforms the winner of the QF-LRA track of SMT-COMP~2026. This confirms that vibe-coding of automated reasoning tools will enable us to make great strides in the future.

Problem

• SMT solver
• QF-LRA
• performance optimization

Innovation

• vibe-coded
• parameter-tuned
• QF-LRA