Researchers propose ACTR, a framework to improve multilingual safety alignment in reasoning large language models by strengthening safety reasoning through neuron-selective consistency optimization. ACTR achieves lower attack success rates on jailbreak queries and preserves or improves performance on multilingual knowledge and mathematical reasoning tasks.