Prépublication
· 2026 arXiv
EN
Aims: To analyse the impact of dynamically formed binaries emerging naturally from various star cluster environments on already established planetary systems. Methods: Numerical simulations replicating the star-forming region NGC 1333 are conducted. We conside...
Erwan Hochart, Simon Portegies Zwart
#astro-ph.EP
Texte transcrit
· 1921 Wikisource
FR
Extrait : bookHistoire d’une MarieAndré BaillonF. Rieder et Cie, éditeurs1921ParisVBaillon - Histoire d'une Marie, 2è édition, 1921.djvuBaillon - Histoire d'une
Wikisource
#Histoire
Prépublication
· 2026 arXiv
EN
Earth system models (ESMs) have grown tremendously in realism, yet key uncertainties persist in the climate response to greenhouse-gas forcing, particularly due to cloud radiative feedbacks. In addition, their software architecture was not designed for acceler...
Pierre Gentine, Dhruv Balwada et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Near the ocean surface, tropical cyclone winds change rapidly with height, but direct measurements are limited because aircraft dropsondes provide only sparse and irregular observations. Continuous wind profiles are important for understanding hurricane bounda...
Jian Ma, Yilin Yang et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Bifurcations are ubiquitous in physical systems, from structural buckling to fluid and climate dynamics, yet they remain largely unexplored in deep learning. At a symmetry-breaking bifurcation, a single input admits multiple equally valid solutions, violating...
Anna Zimmel, Fleur Hendriks et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. We show that white-box deception detection via probes can be scaled up to frontier monitoring settings by collecting the largest deception datas...
Oskar J. Hollinsworth, Alex F. Spies et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Streaming Video Large Language Models (VLMs) enable continuous video understanding, yet existing benchmarks focus on low-dynamic scenarios. Under bounded context budgets, models must balance temporal history, spatial resolution, and temporal granularity; spars...
Yuxuan Hu, Weikang Shi et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
World action models (WAMs) predict actions and future observations, typically from a reconstruction-based representation that carries noisy, redundant information which can complicate downstream predictions. We introduce LeWAM, a bidirectional transformer for...
Shashank Hegde, Alexander Popov et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Skill-augmented agents improve sample efficiency by distilling successful trajectories into reusable strategies. Yet most existing approaches remain text-centric, linearizing spatial layouts and action-state correspondences into language that loses critical ge...
Hongxing Li, Dingming Li et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Gravitational waves from vacuum first-order phase transitions probe the nonlinear dynamics of relativistic bubble collisions. Predicting their spectrum requires resolving Lorentz-contracted scalar bubble walls throughout a volume containing many bubbles, makin...
Malte Buschmann, Toby Opferkuch
#gr-qc
Prépublication
· 2026 arXiv
EN
In recent years, simulation-based inference (SBI) methods have been proposed to address several data-analysis challenges faced by existing and planned gravitational-wave experiments. For example, SBI classification has recently been shown to significantly impr...
James Alvey, Andrea Mitridate et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
We present the `Bias of Overdensities in Large-scale Tracers on the Sphere' (BOLTS) model, a novel analytic galaxy bias model for projected fields on the sphere that incorporates stochasticity and non-locality already at linear order while enforcing physicalit...
Maximilian von Wietersheim-Kramsta, Nicolas Tessore et al.
#astro-ph.CO