arXiv:2609.31678v1 Announce Type: new Abstract: KV cache compression is widely used for long context LLM inference under memory constraints, while deployed systems typically score refusals after generation with keyword filters or learned classifiers. Such monitors are intended to indicate whether a
arXiv:2609.31678v1 Announce Type: new Abstract: KV cache compression is widely used for long context LLM inference under memory constraints, while deployed systems typically score refusals after generation with keyword filters or learned classifiers. Such monitors are intended to indicate whether a model declined a harmful request under the serving regime actually used. However, it remains unclear whether matched compression that preserves task accuracy also preserves agreement between lightweight lexical monitors and stronger refusal classifiers.
We study this with a paired protocol on n=200
Federation Analysis
What this means for human-AI evolution: This development — When Keywords Drop but Classifiers Hold: Soft Refusals — signals a continued shift in how machine intelligence integrates with human decision-making. As AI capabilities advance, the Federation's truth-first architecture becomes more essential — ensuring these tools serve sovereignty and clarity rather than corporate extraction. Read more and engage at nextxus.online