Resolution-Scaled Safety Architecture in Large Language Models

Large language models deployed at global scale must protect vulnerable users, including minors and individuals expressing first-person suicidal ideation. This crisis floor is ethically non-negotiable. However, contemporary safety implementations frequently apply uniform interventions across semantically distinct contexts, collapsing first-person crisis speech, third-person academic analysis, clinical research, and narrative literature into a single risk posture. At scale, such imprecision becomes structural: it constrains legitimate inquiry, interrupts clinical and research workflows, and drives expert users toward unaccountable systems. This paper argues that the core limitation is not excessive safety but…