Benchmarking System One decision models against trained classifiers and language models for automated decision gates

Excerpt

arXiv:2610.00346v1 Announce Type: new Abstract: Software that hands branching decisions to a model needs a declared option and a probability it can threshold. Typed decision models, also called System One models, return such probabilities without generating text, while supervised classifiers and generative language models are the established alternatives. Under matched conditions, one harness sends eight decision-model checkpoints from six families, including the hosted model Jev, and two genera