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New TE-GvA dataset with belief-level labels for Tennessee Eastman process shows gradient-boosted rules achieve 11 percent lower regret than hindsight labels on stress sets.
PARS-ESL records key epochs and membership, not operational traffic, so constrained agents can act as lightweight clients.
Only a check inside the controller scan closed a pause window that replica checks missed.
LLM-Falsifier uses large language models with semantic prompting to minimize STL robustness and find counterexamples in cyber-physical systems more efficiently.
Position paper proposes hierarchical software quality assurance to characterize and secure EV charging station software attack surfaces.
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