arXiv cs.AI· NovaSilicon Team·· 1 天前AI 评分38
AnalogLayoutWorld：面向智能体模拟版图设计的开源基准
AnalogLayoutWorld: An Open Benchmark for Agentic Analog Layout Design
AI 导读
AnalogLayoutWorld 是一个开源智能体基准，包含 40 个经专家审核的任务，用于从固定晶体管级网表端到端生成模拟电路版图，并配有独立物理与版图后电学验证及客观质量指标。在 13 种模型与执行框架配置中，91.1% 的尝试能产出 GDS 版图，但仅 23.0% 满足验收标准。内部开发的智能体系统 Novara 取得最高综合得分，分析将性能差异与固定预算下的测试时扩展联系起来。
正文 · 原文
Abstract:Coding agents have demonstrated strong capabilities in software development, yet their ability to tackle long-horizon engineering tasks governed by physical constraints remains less understood. We study this question through analog circuit layout, which demands domain knowledge, geometric reasoning, and iterative interaction with design and verification tools. We introduce \textbf{AnalogLayoutWorld}, an open-source agent benchmark with 40 expert-reviewed tasks for end-to-end layout generation from fixed transistor-level netlists. It combines an integrated design environment with independent physical and post-layout electrical verification, as well as objective layout quality metrics co-designed with analog layout experts. Across 13 model--harness configurations, 91.1\% of attempts produce GDS layouts, but only 23.0\% satisfy the benchmark's acceptance criteria. We also evaluate Novara, an internally developed agent system, which achieves the highest reported aggregate score. Our analysis links performance differences to test-time scaling under fixed budgets, suggesting that reasoning efficiency and effective use of verification feedback help sustain design quality as task complexity grows.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.16991 [cs.AI] |
| (or arXiv:2611.16991v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.16991 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Linyang Li [view email]
[v1]
Thu, 12 Nov 2026 15:56:13 UTC (7,146 KB)
来源：arXiv cs.AI · arxiv.org