Introduces 'screening' — an attention mechanism that defines absolute rather than relative query-key relevance, allowing irrelevant keys to be explicitly rejected rather than receiving redistributed probability mass. Standard softmax attention cannot distinguish 'weakly relevant' from 'irrelevant' keys. Multiscreen language model architecture built on screening could improve retrieval-augmented generation and long-context tasks where most keys are noise.