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Time series causal discovery, a field spanning over 50 years, is now a critical component for AI systems and scientific discovery, yet remains fragmented across disciplines.
STACE reveals that autonomous stress-testing with LLM agents can dramatically enhance the evaluation of concept erasure, outperforming traditional methods in robustness and adaptability.
