Prépublication
· 2026 arXiv
EN
Real-time robot control demands enough visual history to infer motion and task progress, but processing that history can delay action. We present Long-WAM, a model-system framework for scaling the context of causal world-action models under real-time control c...
Wei Huang, Bohan Zhang et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Latent world models have shown a remarkable ability to predict future states and to plan in the real world. In practice, however, we lack a principled way to estimate how their capabilities scale with model size, data, and compute, an open problem that slows p...
Artem Zholus, Nicolas Beltran-Velez et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Language-model agents are increasingly asked to carry out open-ended scientific research, yet their results are usually graded against a known answer, a rubric, or a language-model reviewer, none of which can tell whether a new scientific model is valid. The A...
Yinling Zhang, Langchen Liu et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) relies on fixed similarity-based retrieval, while agentic variants adapt queries and tool use but rem...
Yilun Hao, Krishna Sayana et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Deployments of research agents are moving to populations of thousands that share one pool of compute, while most current systems organize one project at a time or leave the population unorganized. We argue that such a population will acquire an organization wh...
Ali Asaria, Deep Gandhi et al.
#cs.MA
Prépublication
· 2026 arXiv
EN
Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent reasoning. Existing studies of post-hallucination reasoning (PHR) mainly characterize changes in final outcomes and aggregate reasoning dynamic...
Linghao Meng, Feng He et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
We constrain oscillatory features in the primordial power spectrum using the public DESI DR1 galaxy and quasar clustering data. Our analysis is based on a custom pipeline for the redshift-space power spectrum and bispectrum of the six main DESI DR1 tracers, mo...
Shi-Fan Chen, Anton Chudaykin et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Recent cosmological constraints on the sum of neutrino masses have reached, and in some analyses fallen below, the minimum value implied by the normal mass ordering, suggesting a possible tension with neutrino-oscillation measurements. We investigate whether t...
Gabriel Rodrigues, Jamerson Rodrigues et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
We study the mixing between a generic axion-like particle (ALP) and the light pseudoscalar mesons within chiral perturbation theory ($χ$PT), and its consequences for low-energy scattering and decay processes. Starting from the most general ALP effective Lagran...
Noé Duarte-González
#hep-ph
Prépublication
· 2026 arXiv
EN
Cosmological first-order phase transitions can generate curvature perturbations through inhomogeneous quantum tunneling, as studied previously on superhorizon scales. In this work, we for the first time conduct three-dimensional lattice simulations that incorp...
Yuan-Jie Li, Jing Liu et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Constellation Monte Carlo results depend on the orbital population used to evaluate a tasking policy. With scarce reference trajectories, replay limits geometric diversity, while independent orbital-element jitter can violate physical constraints. We study con...
Omar Ramadan, Sam Siavoshian et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
We present a measurement of the spatial clustering of galaxy clusters selected via the thermal Sunyaev-Zel'dovich (tSZ) signal. Using a cluster catalog derived from five years of SPT-3G Main field survey data, we define a sample spanning $0.25 < z < 1.1$, as w...
E. S. Martsen, D. Anbajagane et al.
#astro-ph.CO