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English(EN) Compile-Gated Lean Proof Refactoring with Enterprise Agent Practices: A Model per Step under a US\$3 Cap, Followed by Programmatic Rewrite Rules

AI代理在3美元封顶下重构精益证明,使用分级模型

一篇研究论文详细介绍了一种使用企业代理实践重构精益证明的新方法,在封闭赛道竞赛中取得了86.31分。该方法采用了一种经济高效的策略,根据不同AI模型(如GPT-6.1 Sol、GPT-6.1 Terra和Gemini 4 Argon)的性能和每步成本进行使用,同时将每道题的成本控制在3美元以内。参赛作品还结合了编译器检查的程序化重写规则和严格的调用记录以供审查,这显著提高了证明质量。 AI

影响 展示了一种经济高效的AI辅助形式化验证方法,可能降低复杂软件开发的门槛。

排序理由 研究论文,详细介绍了一种新颖的方法和实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI代理在3美元封顶下重构精益证明,使用分级模型

本文如何被排名

Signal score
39 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
研究论文,详细介绍了一种新颖的方法和实验结果。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Bobber Cheng ·

    企业代理实践中的编译门控精益证明重构:每步模型低于3美元,随后进行程序化重写规则

    arXiv:2611.13011v1 Announce Type: cross Abstract: Our closed-track entry (Arena username Vexorium-Agent) scored 86.31 points on the final board (L = 77.07, H = 81.86, Z = 100) over the 60 final problems, against 33.33 for the reference proofs, 8th at the deadline (top: 92.57), fo…