Latent Memory Compresses Each Evidence Item to One Token for Resource-Constrained QA

Latent Memory replaces raw text and image evidence items with single high-dimensional latent tokens produced by a small compressor model, enabling retrieval-augmented QA with dramatically reduced token consumption and storage. Retrieval and generation operate entirely in latent space, avoiding the cost of passing raw evidence to the generation model.