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Author SHA1 Message Date
ruv d64323c2d6 bench: add quantized footprint — SOTA-beating WiFi pose in 37KB int4 
micro (74.87%, beats MultiFormer 72.25%) = 36.7KB int4 / 73.5KB int8;
nano (~72%) = 19.5KB int4. Distillation tested, no gain (direct training
wins). A SOTA-beating pose model fits on the sensing node itself.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-31 01:16:16 -04:00
ruv 9c64d90054 bench: WiFi-CSI pose efficiency frontier — 75K-param model beats SOTA 
Swept model size on MM-Fi random_split: every config from micro (75,237
params, 0.22ms, 74.30%) up beats MultiFormer (72.25%); nano (40K, 0.13ms)
within 0.5pt. Pareto-dominant (smaller AND more accurate than prior SOTA).
Orthogonal to the data-bound accuracy frontier (ADR-150).

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-31 01:10:33 -04:00