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News/On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
arxiv
PublishedMay 26, 2026 at 4:00 AM

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks

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arXiv:2605.24649v1 Announce Type: cross Abstract: Recurrent Neural Networks (RNNs) can learn to predict Signal Temporal Logic (STL) verdicts online from partial trajectories, but deploying them as runtime monitors in safety-critical systems demands more than predictive accuracy. Standard RNN archite

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