SGAnalog：基于开源流片的端到端模拟电路基准
原标题：SGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts
AI 摘要
研究者发布 SGAnalog，一个基于 Tiny Tapeout 开源流片、包含 273 个拓扑不同顶层设计的端到端模拟电路基准，用于评估模型从原理图恢复网表及器件尺寸设计的能力。在 66 个转录任务上，最强模型仅达 56.1% 精确图同构，且多数模型从小规模到中规模任务性能骤降；在 17 个尺寸任务上，领先模型全部收敛并得 91.2 分，但两个最新 Claude 模型分别拒绝 4 和 11 个相同提示，暴露出策略而非能力限制。该基准通过提交版本锁定和容器化流程，支持训练截止分析并降低数据污染风险。
正文节选
AI for Chip Design SGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts Abstract Existing analog integrated circuit design benchmarks make two questions hard to answer: whether a model has learned transferable circuit skills rather than recalled familiar examples, and whether its output works under defined process and test conditions. We introduce a benchmark built from human-designed, open-source circuits associated with Tiny Tapeout manufacturing shuttles. The collection