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AI & Data Science Preprint PDF DOI

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, Wenhu Chen, Jingdong Wang, Xinchao Wang, Xiaojuan Qi, Shijian Lu, Bin Wang · 2026

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, …

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Physics Preprint PDF DOI

Cosmological Observational Tests in the JWST Era. II: The Tolman Test

V. V. Tsymbal, A. A. Raikov, N. Yu. Lovyagin · 2026

In this work, we investigate a classical cosmological test - the dependence of galaxy surface brightness on redshift z (the Tolman test). We analyzed 6 860 galaxies with reliably determined spectrosco…

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AI & Data Science Preprint PDF DOI

ObjectGraph: From Document Injection to Knowledge Traversal -- A Native File Format for the Agentic Era

Mohit Dubey, Open Gigantic · 2026

Every document format in existence was designed for a human reader moving linearly through text. Autonomous LLM agents do not read - they retrieve. This fundamental mismatch forces agents to inject en…

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AI & Data Science Preprint PDF DOI

Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar · 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software …

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Computer Science Preprint PDF DOI

BLINC: Context-Specific Causal Learning for Automated RAN Configuration

Reshma Prasad, Michele Polese, Tommaso Melodia · 2026

Radio Access Network (RAN) configuration has traditionally required significant manual effort due to indirect causal dependencies between observable Key Performance Indicators (KPIs), and context-depe…

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AI & Data Science Preprint PDF DOI

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists

Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe · 2026

We introduce HalluCiteChecker, a toolkit for detecting and verifying hallucinated citations in scientific papers. While AI assistant technologies have transformed the academic writing process, includi…

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Engineering Preprint PDF DOI

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee · 2026

Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing ann…

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AI & Data Science Preprint PDF DOI

Electricity price forecasting across Norway's five bidding zones in the post-crisis era

My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha, Dat Thanh Nguyen · 2026

Norway's electricity market is heavily dominated by hydropower, but the 2021--2022 energy crisis and stronger integration with Continental Europe have fundamentally altered price formation, reducing t…

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Mathematics Preprint PDF DOI

The Riemann integral on Dedekind complete $f$-algebras

Eder Kikianty, Luan Naude, Mark Roelands, Christopher Schwanke · 2026

In this paper we develop a theory of integration for locally band preserving functions, introduced by Ercan and Wickstead, on Dedekind complete $f$-algebras. Specifically, we construct Darboux and Rie…

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Mathematics Preprint PDF DOI

Intermediate curvature and splitting theorem

Jingche Chen, Han Hong · 2026

In this paper, we prove several rigidity results for complete noncompact manifolds with nonnegative intermediate curvatures. We show that when either $3\leq n\leq 5$, $1\leq m\leq n-1$, or $6\leq n\le…

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Computer Science Preprint PDF DOI

Do E-Scooter Speed Governance Policies Reduce Harsh Acceleration and Deceleration? Evidence from 19.5 Million Trips Around a Regulatory Ban

Seongjin Choi, Sunbin Yoo, Sugie Lee · 2026

Do e-scooter speed governance policies yield behavioral safety gains beyond the mechanical cap they impose? A firmware ceiling mechanically prevents speeding, but whether the same riders also generate…

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AI & Data Science Preprint PDF DOI

FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing

Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt · 2026

Fashion AI systems routinely encode the aesthetic logic of specific houses, editors, and historical moments without disclosing it. We present FASH-iCNN, a multimodal system trained on 87,547 Vogue run…

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Physics Preprint PDF DOI

Quantum annealing inspired algorithms for the NISQ Era

Rijul Sachdeva, Vrinda Mehta, Manpreet Singh Jattana, Kristel Michielsen, Fengping Jin · 2026

We study algorithms inspired by quantum annealing that are suited for the NISQ era. First, we analyze approximate quantum annealing (AQA), which employs a discretized annealing ansatz in which the tim…

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Physics Preprint PDF DOI

Dynamical analysis of the covariant $f(Q)$ gravity models

S. A. Narawade, S. A. Kadam · 2026

In this study, we explore the cosmological evolution of the Universe in the framework of covariant $f(Q)$ gravity, with a coupling function that evolves dynamically in proportion to the Hubble paramet…

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Computer Science Preprint PDF DOI

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

Driss Choukri, Essaid Sabir, Elmahdi Driouh, Abdelkrim Haqiq · 2026

The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance au…

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Computer Science Preprint PDF DOI

TARMM: Scaling Delay-Critical Edge AI Offloading in 5G O-RAN via Temporal Graph Mobility Management

Peihao Yan, Yun Chen, Jie Lu, Qijun Wang, Huacheng Zeng · 2026

Emerging delay-critical edge AI applications, such as VR perception and real-time video analytics, impose stringent latency and reliability requirements on 5G networks. However, existing mobility mana…

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Computer Science Preprint PDF DOI

Large-scale wireless network management via Open-RAN Tandem Apps: Cell on/off switching use case

Pawe{l} Kryszkiewicz, {L}ukasz Ku{l}acz, Marcin Paku{l}a, Marcin Dryjanski, Marcin Hoffmann, Piotr Skrzypczak, Heiko Lehmann, Martin Stahn · 2026

With growing mobile-network complexity, management and optimization have become increasingly difficult. Centralized algorithms face high control-data overhead and computational load, while distributed…

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Economics & Finance Preprint PDF DOI

Effects of Genetic Propensity for Education on Labor Market and Health Trajectories across the Working Life

Stefano Lombardi, Nurfatima Jandarova, Kristina Zguro, Jarkko Harju, Aldo Rustichini, Andrea Ganna · 2026

Education is a major source of inequality in income and health. Polygenic indices for educational attainment (EA-PGI) capture both direct and indirect genetic influences on education, but their effect…

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Mathematics Preprint PDF DOI

Malliavin calculus and densities for chaos-driven stochastic differential equations

Laurent Loosveldt, Yassine Nachit, Ivan Nourdin · 2026

We study stochastic differential equations driven by finite-order chaos processes on abstract Wiener spaces, with pathwise Riemann-Stieltjes integration. The driving noise is an $\mathbb{R}^m$-valued …

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Neuroscience Preprint PDF DOI

Integrative neurocybernetic modeling in the era of large-scale neuroscience

Il Memming Park, Ayesha Vermani, Gonzalo G. de Polavieja, Juan Alvaro Gallego, Kathleen Esfahany, Shreya Saxena, Michael Orger, Auke Ijspeert, Matthew Dowling, Daniel McNamee, Srinivas C. Turaga, Zachary Mainen, Joseph J. Paton, Alfonso Renart · 2026

Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that underst…

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