# When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge

**Published:** October 5, 2026
**Author:** Xi Qin, Isabel Kurth, Xin Cui, Elin Park, Alexander Schaefer, Yaad Oren
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/when-terminal-agent-training-stalls-demystifying-data-generation-and-ver

Using a frontier model like Claude Opus as a meta-agent to generate terminal tasks and verifiers for RL training is increasingly common. Yet a runnable Docker image and executable test suite do not guarantee a faithful end-to-end pipeline for terminal agent training. We present…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.02405)

**Tags:** #Anthropic #arXiv

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