**SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness**

**SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness**

> As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into long trajectories of reasoning, tool use, and feedback. Token efficiency therefore becomes important for scaling recursive self-improvement. We take an RSI-inspired approach at the harness layer, scaling auto-research loops across increasingly numerous and diverse enviro...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-09-18 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2609.20519)