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arXiv · 2509.23882

Quant Fever, Reasoning Blackholes, Schrodinger's Compliance, and More: Probing GPT-OSS-20B

Shuyi Lin·Tian Lu·Zikai Wang·Bo Wen·Yibo Zhao·Cheng Tan
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Abstract

OpenAI's GPT-OSS family provides open-weight language models with explicit chain-of-thought (CoT) reasoning and a Harmony prompt format. We summarize an extensive security evaluation of GPT-OSS-20B that probes the model's behavior under different adversarial conditions. Using the Jailbreak Oracle (JO) [1], a systematic LLM evaluation tool, the study uncovers several failure modes including quant fever, reasoning blackholes, Schrodinger's compliance, reasoning procedure mirage, and chain-oriented prompting. Experiments demonstrate how these behaviors can be exploited on the GPT-OSS-20B model, leading to severe consequences.

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Shuyi Lin, Tian Lu, Zikai Wang, Bo Wen, Yibo Zhao, Cheng Tan. 2025-09-28. Quant Fever, Reasoning Blackholes, Schrodinger's Compliance, and More: Probing GPT-OSS-20B. https://arxiv.org/abs/2509.23882

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