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P. Leguina

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Preprint Sep 2026

Integer Quantization of Graph Neural Networks for Real-Time FPGA Track Finding

Real-time track finding for displaced-muon signatures in the CMS Level-1 trigger must operate under strict fixed-latency constraints of 12.5 $\mu$s while processing high-throughput detector data. Because muon hits map naturally onto sparse, irregular graphs, graph neural networks (GNNs) are attractive candidates; howev...

A. Cardini, P. Leguina, E. Aller et al. · 1 citation

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