AI RESEARCH

Agentic Systems as Boosting Weak Reasoning Models

arXiv CS.AI

ArXi:2605.14163v1 Announce Type: new Can a committee of weak reasoning-model calls reach the performance of much stronger models? We study verifier-backed committee search as inference-time boosting for reasoning language models. The mechanism is not simply that `` agents help'': samples expose latent correct solutions, while critics and comparators must recover them without access to the hidden verifier. We formalize this view by separating proposal coverage, local identifiability, progress, and diversity.