VERA: Scaling Verifiable Environments for Agentic co-Evolution

Excerpt

arXiv:2610.05923v1 Announce Type: new Abstract: Competent agents need precise and verifiable environments, such as sandboxes that are resumable at any stage and evolve from observable evidence. However, most long-horizon work exposes how rare these are: for example, an agent in medical research must ground a finding, classify it, and write a report over dozens of dependent steps, yet recent environments score only the outcome. To address the challenges in stable training, we present VERA, which