WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization 文章

ArXiv CS.AI2026-08-03PAPERen作者: Fanzhe Wei, Li Liu

详细信息

来源站点
ArXiv CS.AI
作者
Fanzhe Wei, Li Liu
文章类型
PAPER
语言
en
发布日期
2026-08-03

摘要

arXiv:2607.28699v1 Announce Type: cross Abstract: KV-cache quantization is validated today by offline benchmark averages; a deployed system cannot tell whether compression is damaging the request it is serving right now. We give it a provably sound runtime meter, a "DTrace for KV quantization": a per-(layer, head, step) upper bound on the total variation between exact and compressed attention. The meter has two tiers: a deterministic band-norm-witness bound, sound for any cache-preserving black-box quantizer and for any query (adaptive-safe, worst-case Cauchy-Schwarz plus RoPE band-unitarity), and a tighter probabilistic certificate for a controlled subtractively-dithered INT8 quantizer under an explicit request-level failure budget (stated for non-adaptive queries; core theorems machine-checked in Lean 4). Three results. Observability: the meter enters SGLang through an environment-guarded patch, and any scheme registered as one tensor function is measured in live serving.

相关事件

暂无数据

相关公司

暂无数据

相关人物

暂无数据