Following this puts new work involving it at the top of your briefing, with a note saying why it is there. Links are taken from the source record, never inferred.
This is an unrefereed arXiv preprint introducing a machine learning method for preference alignment in generative models, with theoretical analysis and empirical results that have not undergone peer review.
This is a technical systems report describing a software framework for reinforcement learning post-training, with a single case study but no comparative evaluation, experimental validation, or peer review.
A retrospective cohort study with adequate sample size and multivariable adjustment showing elevated kidney failure risk and mortality in HBsAg-positive donors, but limited by retrospective design, single-centre conduct, and modest effect sizes that require confirmation.