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Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance
Recent attacks show that behavioural unlearning of large language models leaves internal traces recoverable by adversarial probes. We characterise where this retention lives and show it can be surgically removed without measurable capability cost. Our central protocol is a leave-one-out cross-sequen
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