Presenting TIS (Token Importance Scoring) - A new way to compress KV cache

That makes sense for constrained local inference. This is close to a distinction I am exploring in DESi: upstream context admission vs. downstream cache eviction. In DESi, a router/evidence selector runs before prefill and tries to decide which evidence/state should enter the model at all. That reduces token and cache pressure at the source. So I would see TIS as complementary: useful when long prefill is unavoidable, or when importance is only discovered during generation. But for RAG/agent systems, I would benchmark it against an upstream router/evidence-selection baseline, because that changes the problem from “which tokens survive in cache?” to “which evidence should be admitted into context?”