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

Interesting connection. I agree there is a shared concern around token/evidence importance. But I would place DESi one architectural layer earlier than GLM-5/DSA. DSA optimizes attention after tokens have entered the model; DESi tries to decide which evidence/state should enter the context before prefill. So I see them as complementary, but not equivalent: GLM-5 reduces attention cost inside the model, while DESi reduces epistemic and token pressure before the model is invoked.