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AI & Data Science Preprint PDF DOI

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

Xin Zhou, Dingkang Liang, Xiwu Chen, Feiyang Tan, Dingyuan Zhang, Hengshuang Zhao, Xiang Bai · 2026

Driving world models serve as a pivotal technology for autonomous driving by simulating environmental dynamics. However, existing approaches predominantly focus on future scene generation, often overl…

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AI & Data Science Preprint PDF DOI

PhyCo: Learning Controllable Physical Priors for Generative Motion

Sriram Narayanan, Ziyu Jiang, Srinivasa Narasimhan, Manmohan Chandraker · 2026

Modern video diffusion models excel at appearance synthesis but still struggle with physical consistency: objects drift, collisions lack realistic rebound, and material responses seldom match their un…

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Physics Preprint PDF DOI

Finding the one: identifying the host of compact binary mergers

Alberto Salvarese, Hsin-Yu Chen, Daniel E. Holz · 2026

Finding the host galaxies of stellar-mass compact binary mergers will open a new window for studying their formation histories and measuring key cosmological parameters, such as the Hubble constant. T…

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AI & Data Science Preprint PDF DOI

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

Nina Seron-Abouelfadil, Poppy Fynes · 2026

Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential probl…

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Mathematics Preprint PDF DOI

The proportion of permutations fixing a $k$-set

Ben Green, Mehtaab Sawhney · 2026

Denote by $p(k)$ the limit, as $n \rightarrow \infty$, of the probability that a random permutation on a set of size $n$ has an invariant set of size $k$. We give an asymptotic formula for $p(k)$, sho…

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AI & Data Science Preprint PDF DOI

Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments

Akhil Gupta, Erhan Guven · 2026

Accurate state estimation of nonlinear dynamical systems is fundamental to modern aerospace operations across air, sea, and space domains. Online tracking of adversarial unmanned aerial vehicles (UAVs…

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Computer Science Preprint PDF DOI

Beyond Code, We Are People: A Systematic Mapping of 25 Years of Literature on Soft Skills in Agile Development Teams

Israely Lima, Lucas Moura Lourenco, Marcio Ribeiro, Ivan Machado, Carla Ilane Bezerra · 2026

Software development is a sociotechnical and human-centered endeavor in which human factors directly influence quality, productivity, and innovation capacity. In this context, career development in co…

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AI & Data Science Preprint PDF DOI

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Shuokun Cheng, Jinghao Shi, Kun Sun · 2026

Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesions often resemble surrounding tissues and exhibit ill-defined boundaries, leading to unstable predi…

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Engineering Preprint PDF DOI

Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning

Mahuizi Lu, Kelin Jia, Rajib Goswami, Yukun Hu · 2026

The rapid electrification and intelligence of modern transportation systems place stringent demands on the electromagnetic compatibility, reliability, and adaptability of automotive power electronics.…

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Mathematics Preprint PDF DOI

Hypergraph independence bounds: from maximum degree to average degree

Jing Yu, Junchi Zhang · 2026

We prove a transfer theorem for hereditary classes of $(r+1)$-uniform hypergraphs. Let $\mathcal G$ be such a class, and for $H\in\mathcal G$ write $\Delta(H)$ and $d(H)$ for the maximum degree and av…

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AI & Data Science Preprint PDF DOI

Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management

Eduard Buss, Till Aust, Heiko Hamann · 2026

Purpose: Fast detection of plant stress is key to plant phenotyping, precision agriculture, and automated crop management. In particular, efficient irrigation management requires early identification …

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Physics Preprint PDF DOI

Order by disorder up to arbitrarily high temperature

Ravish Mehta · 2026

We prove that a class of classical lattice models on $\mathbb{Z}^d$ ($d \geq 2$) with on-site space $\mathbb{N}_0$ exhibits long-range checkerboard order at sufficiently high temperature. The model ha…

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Mathematics Preprint PDF DOI

Gauge symmetry and uniqueness in inverse problems for the JMGT equation

Dong Qiu, Xiang Xu, Yeqiong Ye, Ting Zhou · 2026

In this paper, we study an inverse boundary value problem for the Jordan--Moore--Gibson--Thompson equation on a simple Riemannian manifold. We consider an all boundary measurement map that maps Dirich…

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Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contract…

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Physics Preprint PDF DOI

Learning quantum disentanglement scheduling from reduced states via modular hybrid policies

Y.-X. Xiao, J.-Z. Han, Z. Zheng, Z.-H. Zhang, M. Xue, J. Li, X. Lv · 2026

Quantum control with restricted state access is central to near-term quantum devices, where full wave-function information is unavailable. We study this problem through multiqubit disentanglement sche…

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Neuroscience Preprint PDF DOI

Multisensory learning recruits visual neurons into an olfactory memory engram

Zeynep Okray, Nils Otto, Anna A. Cook, Clifford Talbot, Ashwin Miriyala, Martin Klappenbach, Ciara Stern, Kieran Desmond, Paola Vargas-Gutierrez, Scott Waddell · 2026

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory feat…

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Mathematics Preprint PDF DOI

Frank-Wolfe Beyond 1/t Convergence

Sebastian Pokutta · 2026

We consider smooth convex minimization over compact convex sets, i.e., $\min_{x \in C} f(x)$ with the (vanilla) Frank-Wolfe algorithm. Well-known lower bounds establish a worst-case $\Omega(1/t)$ prim…

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Computer Science Preprint PDF DOI

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale

Andrei Seoev, Dmitry Belousov, Anastasiia Smirnova, Ksenia Kurinova, Aleksei Smirnov, Denis Fedyanin, Yury Yanovich · 2026

Maximal Extractable Value (MEV) represents billions of dollars in extracted value that fundamentally shapes blockchain network dynamics and participant incentives. While research has focused on MEV ex…

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Computer Science Preprint PDF DOI

Simpler and Improved Replacement Path Coverings

Davide Bilo, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Martin Schirneck · 2026

An important tool in the design of fault-tolerant graph data structures are $(L,f)$-replacement path coverings (RPCs). An RPC is a family $\mathcal{G}$ of subgraphs of a given graph $G$ such that, for…

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Physics Preprint PDF DOI

International Optical Clock Comparison Using the European Optical Fiber Network

Marco Pizzocaro, Clara Zyskind, Anne Amy-Klein, Erik Benkler, Sebastien Bize, Davide Calonico, Etienne Cantin, Christian Chardonnet, Cecilia Clivati, Stefano Condio, E. Anne Curtis, Simone Donadello, Soren Dorscher, Chen-Hao Feng, Melina Filzinger, Jacques-Olivier Gaudron, Rachel M. Godun, Irene Goti, Ian R. Hill, Wei Huang, Nils Huntemann, Matthew Johnson, Joshua Klose, Jochen Kronjager, Alexander Kuhl, Rodolphe Le Targat, Filippo Levi, Burghard Lipphardt, Christian Lisdat, Jerome Lodewyck, Olivier Lopez, Helen S. Margolis, Maxime Mazouth-Laurol, Alberto Mura, Benjamin Pointard, Paul-Eric Pottie, Matias Risaro, Billy I. Robertson, Marco Schioppo, Kilian Stahl, Martin Steinel, Alexandra Tofful, Mads T{o}nnes, Jacob Tunes · 2026

Optical clocks have achieved remarkable estimated fractional frequency uncertainties reaching the $10^{-18}$ level and below, enabling applications in fundamental physics, general relativity, and geod…

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