Preprint Watch

URL https://arxiv.org/pdf/2510.14709.pdf Stage Normal Science Paradigm framing The paper operates within the established paradigm of using computational analysis of very high-resolution (VHR) satellite imagery for marine mammal monitoring. This paradigm seeks to overcome the limitations of traditional, resource-intensive survey methods. The specific puzzle being addressed is the bottleneck created by the lack of large, annotated […]

URL https://arxiv.org/pdf/2507.08992.pdf Stage Normal Science Paradigm framing The research is situated within the software engineering paradigm that treats source code as a sequence amenable to analysis by language models. Specifically, it works within the sub-paradigm of using transformer-based models (both small and large) for semantic code comprehension tasks. This paper extends this approach to the

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.