A 188M-parameter Mamba model pretrained on 11M+ simulated sPHENIX events with a new serialization and neighbor-prediction task beats task-specific baselines on three downstream detector tasks when frozen and paired with small adapters.
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FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
A 188M-parameter Mamba model pretrained on 11M+ simulated sPHENIX events with a new serialization and neighbor-prediction task beats task-specific baselines on three downstream detector tasks when frozen and paired with small adapters.