# ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems

> Полный текст доступен на английском

**Published:** 6 октября 2026 г.
**Author:** Leo Y. Lin, Vishakha Ramani, Z. Berkay Celik, Paul Castro, Marquita Ellis
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/roar-unifying-runs-across-heterogeneous-ai-driven-research-systems

Each run of an AI-driven research system (ADRS) is an expensive search over a vast solution space, and dependable evaluation requires many runs, making run data both costly to produce and valuable to retain for large-scale analysis. Yet this data remains fragmented: teams…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2610.03966)

**Теги:** #arXiv

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