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Reference-Tail Trust:Certified Probability Floors for Learned Updates Inside a Deployed Network
Graph neural networks (GNNs) need to exploit improved message passing without surrendering control over predictions already trusted in deployment. We introduce Reference-Tail Trust (RTT), a framework that admits learned updates inside a frozen GNN and certifies the prediction actually served. RTT co
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