Prépublication
· 2026 arXiv
EN
Space-borne gravitational wave (GW) detectors such as TianQin are expected to detect GW standard sirens for cosmological parameter estimation. All previous studies of TianQin adopted the $Λ$CDM model to generate mock standard siren data. In this work, we quant...
Jun-Xian Li, Shuang Wang et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
The validity of linear perturbation theory and the role of backreaction in single-field inflationary models that enhance power at small scales have recently been under debate. We investigate scalar backreaction semi-analytically in a mean-field approach within...
Matteo Braglia, Gabriele Franciolini et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
We present an updated analysis of non-standard neutrino self-interactions, where the interaction is effectively mediated by a heavy particle, using the latest available data from DESI and the CMB. The considered data include combinations of DESI DR1 full-shape...
Hernán E. Noriega, Josue De-Santiago et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Cosmological analyses of Stage-IV galaxy surveys require large ensembles of lightcone mock catalogues, but a full survey-scale $N$-body run costs of order $10^7$ CPU hours, putting such ensembles out of reach. We present a framework that produces survey-scale...
Mayeul Aubin, Florent Leclercq et al.
#astro-ph.CO
Document numérisé
· 1546 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1546. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1546 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1546. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Prépublication
· 2026 arXiv
EN
Earth system models underpin the evidence that informs net-zero policy, yet their energy demands are rarely considered when judging model quality. Using archived output from 159 models spanning five generations of the Coupled Model Intercomparison Project (CMI...
Ioana Colfescu, Annalisa Bracco et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Pixel-space diffusion models have recently re-emerged as a compelling alternative to latent diffusion, avoiding the lossy latent bottleneck and separately trained autoencoder. JiT shows that a vanilla diffusion transformer can generate directly in pixel space...
Soumik Mukhopadhyay, Long Mai et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Reproducible and analytically robust research findings are essential to scientific progress, but evaluating these properties typically requires costly manual effort. We investigate whether LLM agents can help automate reproduction and robustness analysis, usin...
Shicheng Liu, Krista Opsahl-Ong et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
A reasoning trace can accompany a correct answer without providing effective supervision for a particular student. We study how to construct traces that improve learning beyond answer-only supervision by considering both their intermediate content and their ac...
Shaoang Li, Yanhang Shi et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
While deriving text embeddings directly from frozen LLMs has emerged as a promising direction, existing methods focus almost exclusively on English, leaving multilingual settings largely unexplored. In this work, we present the first systematic study of multil...
Ailiang Lin, Zhuoyun Li et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs, limiting the reliability and reproducibility o...
Jinho Choi, Hyesu Lim et al.
#cs.AI