Researchers introduced EvoUndo, a framework for representing, synthesizing, diagnosing, and independently verifying recoverability of model-generated self-modifications across counterfactual states. Across 600 unseen one-shot self-evolution tasks, they identified 197 capability-improving mutations that fail recoverability verification. Conventional repair strategies recover 0/197 of these natural failures; deterministic oracle analysis recovers 48/197 under the original recovery language L0, while the extended recovery calculus increases empirical oracle recovery to 191/197.
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