RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing.

arXiv:2610.10507v1 Announce Type: new Abstract: Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) relies on fixed similarity-based retrieval, while age