AROMA: Adaptive Representation-Oriented Multimodal Actuation for Vision-Language Model Control

arXiv:2611.15041v1 Announce Type: new Abstract: Mechanistic localization does not by itself yield usable control: causal sensitivity may occupy little activation energy, an accurate local direction may fail at finite scale, and a reachable numeral target may be wrong. We introduce AROMA (Adaptive Representation-Oriented Multimodal Actuation), a frozen-VLM control framework separating where to intervene, which geometry and gain to use, how to reach a target, which target to pursue, and when to act.