The 16x Context Trick: How Latent Context Models Finally Made Compression Work

Automated excerpt

Every retrieved document, every reasoning trace, every turn of conversation adds tokens — and tokens cost memory quadratically, not linearly. They compress input 16x before the decoder ever sees it — and beat every existing method at every ratio tested. Paper: End-to-End Context Compression at Scale (arXiv 2606. 09659).

Selected automatically from source text; not independently written or fact-checked. Read the original for full context.