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Study assesses context segmentation in locally run small models for CTF security tasks
A preprint on arXiv examines how segmenting context affects the performance of open-weight small language models used for capture-the-flag cybersecurity exercises. The authors frame the work around the risk that locally hosted models can sidestep the guardrails enforced by proprietary APIs. The paper is a revised cross-listing in the cs.AI category.