Preprint Watch

URL https://arxiv.org/pdf/2509.19103.pdf Stage Normal Science Paradigm framing The research is situated within the well-established paradigm of particle physics, which uses gauge theories and the mathematics of Lie groups (specifically SU(n) symmetries) to classify elementary particles and describe their interactions. The Gell-Mann–Nishijima formula is a foundational component of this paradigm, connecting particles' internal quantum numbers to

URL https://arxiv.org/pdf/2410.20676.pdf Stage Normal Science Paradigm framing The paper operates within the established paradigm of computational social science, specifically applying artificial intelligence and neural network modeling to the field of public policy analysis and legal studies. It uses quantitative simulation to evaluate the potential impacts of legislative changes, a common practice within this research framework.

URL https://arxiv.org/pdf/2509.08167.pdf Stage Normal Science Paradigm framing The paper is situated within the paradigm of systems biology, where Gene Regulatory Networks (GRNs) are understood as complex dynamical systems. It specifically builds upon the framework that models cellular processes using stochastic dynamics (Fokker-Planck and Langevin equations) and information theory, conceptualized through constructs like the Waddington epigenetic