Resolvent is a new attention architecture for large language models, built for the million-token era. It uses a novel mathematical construction to deliver transformer-class retrieval at state-space-model inference economics: constant time, constant memory per user, at any context length. The reference implementation, technical brief, and reproducible benchmarks are shared with partners under NDA.