The act/don't-act gate failure can be fixed through training: supervised fine-tuning of a 3B model on 540 synthetic cases drives commitment on unpredictable questions to 0.0% and transfers to three unseen domains

Because the gate is separable, it can be trained. Supervised fine-tuning of a 3B model on 540 synthetic cases, predominantly dice, coins, jars and timers, drives commitment to 0.0% on the original cases and transfers to three unseen domains.

http://arxiv.org/abs/2608.27167v1