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MAAT introduces a multi-phase LoRA-adapter unlearning method along with the 5WBENCH benchmark, revealing that causal 'Why' knowledge is uniquely difficult to forget due to long multi-hop answer chains and gradient dilution, achieving strong forget–retain trade-offs on Llama 3.2-3B.