Prépublication
· 2026 arXiv
EN
Data agents built on ReAct-style loops now execute complex analytical workflows over structured data, yet their intermediate reasoning still runs almost entirely through text. Human analysts instead move between numbers, tables, and charts, reading visual evid...
Xinzhe Wang, Xudong Weng et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Filtering by spatial convolution underlies coarse-graining and Large Eddy Simulation, the analysis of multiscale dynamics, and data processing across the sciences. Yet, as commonly practiced on the sphere, it violates a basic consistency requirement: commutati...
Chayut Teeraratkul, Hussein Aluie
#physics.comp-ph
Prépublication
· 2026 arXiv
EN
Attribution of observed historical climate evolution to externally forced change and internal variability is fundamental to understanding climate change and evaluating climate models. Yet such attribution remains challenging because the forced response is inte...
Parvathi Kooloth, Wenyu Zhou et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Agentic artificial intelligence (AI) systems hold immense potential for automating complex workflows in materials discovery and design, but extending them to domain-intensive mechanistic investigations remains challenging. Here, we present GBClaw, an agentic A...
Yazhuo Liu, Kunqing Ding et al.
#cond-mat.mtrl-sci
Prépublication
· 2026 arXiv
EN
Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a...
Yanbo Wang, Siqi Luo et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Picture-description dementia classification uses a shared visual scene, but a transcript-level prediction alone does not identify the scene evidence underlying its inputs. NarraSpace links words and speech times to named picture elements and retrieves utteranc...
Qingming Li, Ruiyan Sun et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Modern distributed microservice deployments generate massive volumes of heterogeneous, multi-format observability logs across physically and logically partitioned infrastructure. Isolating root causes during cascading failures remains an arduous task for Site...
Jitendra Solanki, Anand Todkar et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we introduce the DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, the first manually curated benchmark for evaluating...
Noor Abo Mokh, Teresa Lynn et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Current evaluation of LLM-generated debate largely focuses on argumentative quality, leaving the value structure of generated arguments underexamined. We introduce a diagnostic metric framework for comparing how values are expressed and organized in human-refe...
Maoyuan Li, Haoyuan Li et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
TS2Vec is one of the strongest self-supervised methods for time series classification, introduced in 2022. It is designed to be trained anew on every dataset: self-supervised pre-training followed by linear probing. Since then, the field has shifted towards fo...
Vasilii Feofanov, Zhenghan Tai et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Simulation is a powerful tool for robotics, but building diverse, simulation-ready scenes at scale remains difficult. Reconstructing scenes from single images is a promising alternative, but visual similarity alone is insufficient: objects must also be recover...
Rundong Luo, Yunong Liu et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
We derive explicit expressions for the primordial scalar and tensor spectra at arbitrary finite order $p$ in the slow-roll expansion, valid both for canonical single-field inflation and $k$-inflation. At any order, the spectra are determined by known combinati...
William Giarè
#astro-ph.CO