Prépublication
· 2026 arXiv
EN
Safety benchmarks typically report one overall score for a suite of datasets, each of which may target one or more safety-related attributes, so models with similar overall scores can have very different attribute profiles. Comparing models is more tractable a...
Christopher M. Stewart, Preston Botter et al.
#cs.AI
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
Existing spatial reasoning benchmarks mainly test spatial perception: reading off relations already visible in the input. Yet real-world spatial intelligence demands predictive spatial reasoning: constructing a scene from observations, anticipating how an inte...
Hongxing Li, Jinyue Su et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
The recently observed dark matter (DM) nuclear recoil event at an energy of $248 \pm 23\,(\text{stat.}) \pm 23\,(\text{syst.})\,\text{keV}$ at the LUX-ZEPLIN (LZ) experiment, favoring an inelastic scattering interpretation, has motivated various beyond the Sta...
Dipankar Pradhan, Abhik Sarkar
#hep-ph
Prépublication
· 2026 arXiv
EN
The global topology of the Universe is a longstanding open question. In this work, we examine the statistical signatures of a positively curved universe with a Friedmann--Lemaitre--Robertson--Walker metric and the topology of a lens space $L(p,q)$. Since these...
Mikel Martin Barandiaran, Catherine Petretti et al.
#astro-ph.CO
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
Since 2001, we have used the TEXES high resolution mid-infrared spectrograph at NASA's Infrared Telescope Facility to study the density of Io's SO$_{2}$-dominated atmosphere. The spectra cover several SO$_{2}$ absorption lines near 530 cm$^{-1}$ and are used t...
R. S. Giles, J. R. Spencer et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
Climate multistability and tipping points are fundamental properties of planetary climates that depend sensitively on climate feedbacks. We introduce the Geneva Energy Balance Model (Gen-EBM), a new 1-D latitudinal EBM for rapid exploration of terrestrial plan...
Siddharth Bhatnagar, Emeline Bolmont et al.
#astro-ph.EP
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
Prépublication
· 2026 arXiv
EN
We present a post-processing pipeline that predicts CO line luminosities, molecular hydrogen masses, and CO abundances for galaxies in the Feedback in Realistic Environments (FIRE-2) simulations, as a first step toward CO response functions for line intensity...
Doğa Tolgay, Norman W. Murray et al.
#astro-ph.GA