IAR Staged Post-Training Encodes Documents Into Parameters Without Retrieval, Recovers 12.1pp General Ability

IAR offers a concrete, model-family-agnostic alternative to retrieval-augmented generation for bounded document collections: bake the corpus into weights via structured objectives, then repair collateral capability damage via model merging—a production-ready recipe tested across four model families.