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Physics Preprint PDF DOI

Hybrid hadrons at rest and on the light front

Edward Shuryak, Ismail Zahed · 2026

We present a unified description of heavy hybrid hadrons based on a constituent-gluon picture embedded in the Born-Oppenheimer (BO) framework. In this approach, the gluonic excitation is treated as a …

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Physics Preprint PDF DOI

The temperature dependent geometric phase

Zheng-Chuan Wang · 2026

There exists a geometric phase for a quantum state during the adiabatic evolution of the system. If the adiabatic procedure happens between the system and the environment interacting with it similar t…

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Computer Science Preprint PDF DOI

Compressing ACAS-Xu Lookup Tables with Binary Decision Diagrams

Martin Boniol (ISAE-SUPAERO), Julien Brunel, Jean-Baptiste Chaudron (ISAE-SUPAERO), Christophe Garion (ISAE-SUPAERO), Xavier Thirioux (ISAE-SUPAERO) · 2026

The Airborne Collision Avoidance System Xu (ACAS-Xu) relies on large certified Look-Up Tables (LUTs) that encode the exact decision logic used in operation. Neural-network-based approximations have be…

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AI & Data Science Preprint PDF DOI

TWICEBEE: A Two-stage Intra-patient Curve-free Bayesian Decision-Theoretic Dose Escalation Design

Dehua Bi, Zina Good, Katherine Ryan, Sabine Heitzeneder, John S. Tamaresis, Robert Lowskey, Michelle Monje, Crystal Mackall, Ying Lu · 2026

We propose a novel Phase I intra-patient dose-escalation design tailored for multi-cycle immunotherapy settings, in which toxicity at a fixed dose level is clinically expected to decrease over success…

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Physics Preprint PDF DOI

On phase retrieval for continuous and discrete Fourier transforms

Roman Novikov, Tianli Xu · 2026

We continue studies on phase retrieval for continuous and discrete Fourier transforms in multidimensions. Using finite difference operators, we give a large class of unexpected examples of non-uniquen…

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Mathematics Preprint PDF DOI

Birational boundedness of stable families

Paolo Cascini, Jihao Liu, Calum Spicer, Roberto Svaldi · 2026

We prove that normal projective stable families of maximal variation, of fixed dimension, and with bounded adjoint volume are birationally bounded. This is a consequence of a substantially stronger st…

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AI & Data Science Preprint PDF DOI

Rethinking Trust Region Bayesian Optimization in High Dimensions

Wei-Ting Tang, Joel A. Paulson · 2026

Trust Region Bayesian Optimization (TuRBO) is an effective strategy for alleviating the curse of dimensionality in high-dimensional black-box optimization. However, inappropriate lengthscale design ca…

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AI & Data Science Preprint PDF DOI

FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision

Nathan Shankar, Pawel Ladosz, Hujun Yin · 2026

Reliable visual perception under low illumination remains a core challenge for autonomous robotic systems, where degraded image quality directly compromises navigation, inspection, and various operati…

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AI & Data Science Preprint PDF DOI

Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation

Jingyang Li, Xin Chen, Hongfei Fu, Guoqiang Li · 2026

The problem of probabilistic verification of a neural network investigates the probability of satisfying the safe constraints in the output space when the input is given by a probability distribution.…

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Mathematics Preprint PDF DOI

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms

Jinyang Shi, Luo Luo · 2026

This paper considers constrained stochastic nonsmooth minimax optimization problem of the form $\min_{\mathbf{x}\in\mathcal{X}}\max_{\mathbf{y}\in\mathcal{Y}}f\left(\mathbf{x},\mathbf{y}\right)=\mathb…

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Mathematics Preprint PDF DOI

3-Designs from $\mathrm{GL}_2(\mathbb{F}_q)$-Invariant Subspaces of $\mathbb F_q[X,Y]_k$

Huawei Wu, Lewen Wang, Sihuang Hu · 2026

We present a uniform framework for constructing $3$-designs from $\mathrm{GL}_2(\mathbb F_q)$-invariant subspaces of $\mathbb F_q[X,Y]_k$, the space of homogeneous polynomials of degree $k$. Given suc…

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Mathematics Preprint PDF DOI

Liouville Type Results for Quasilinear Elliptic Inequalities Involving Gradient Terms on Weighted Graphs

Anh Tuan Duong, Yao Liu, Nguyen Cong Minh, Dao Trong Quyet, Yuhua Sun · 2026

In this paper, we study the following quasi-linear elliptic inequality $\Delta_m u +u^p |\nabla u|^q \leqslant 0$ on weighted graphs, where $(m,p,q)\in (1,\infty)\times\mathbb{R}\times\mathbb{R}$. Acc…

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AI & Data Science Preprint PDF DOI

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion

Yongji Long, Shijun Liang, Jintao Li, Yun Li · 2026

Leveraging the natural spatiotemporal energy decay in video diffusion offers a path to efficiency, yet relying solely on rigid static masks risks losing critical long-range information in complex dyna…

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Physics Preprint PDF DOI

Melting temperature shifts from quantum fluctuations in generalized Wigner crystals

Aman Kumar, Sogoud Sherif, Veit Elser, Hitesh J. Changlani · 2026

It is generally believed that quantum fluctuations collaborate with thermal fluctuations, effectively reducing transition temperatures (e.g. for melting of charge order). We show that this is not alwa…

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Physics Preprint PDF DOI

A population-based approach to understanding radio AGN feedback with LOFAR: The LoTSS Deep Fields

J. C. S. Pierce, F. Sweijen, M. J. Hardcastle, L. K. Morabito, H. J. A. Rottgering, R. D. Baldi · 2026

Feedback from radio AGN jets is regularly implemented into contemporary models of galaxy evolution to offset radiative cooling in the large-scale environments in which they typically reside. While pre…

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AI & Data Science Preprint PDF DOI

Collaborative Contextual Bayesian Optimization

Chih-Yu Chang, Qiyuan Chen, Tianhan Gao, David Fenning, Chinedum Okwudire, Neil Dasgupta, Wei Lu, Raed Al Kontar · 2026

Discovering optimal designs through sequential data collection is essential in many real-world applications. While Bayesian Optimization (BO) has achieved remarkable success in this setting, growing a…

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Mathematics Preprint PDF DOI

Bo\c{t}-Nguyen Acceleration, Weighted Mean Ergodic Iteration, and the Beta-Binomial Distribution

Heinz H. Bauschke, Yuan Gao · 2026

In 2023, Bo\c{t} and Nguyen introduced a new class of accelerated algorithms for finding a fixed point of a nonexpansive operator as the weak limit of a sequence. In this paper, we analyze a particula…

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AI & Data Science Preprint PDF DOI

Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition

Yaohong Yang, Sammie Katt, Samuel Kaski · 2026

Multi-objective Bayesian optimization (MOBO) provides a principled framework for optimizing expensive black-box functions with multiple objectives. However, existing MOBO methods often struggle with c…

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Physics Preprint PDF DOI

Deformation and instability of sessile soap bubbles in an electric field

Hongsik Kim, Sunghwan Jung · 2026

Interfacial deformation under electric fields is a common phenomenon in many industrial processes. Particularly, we are interested in the dynamics of sessile soap bubbles in a parallel-plate electric …

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Mathematics Preprint PDF DOI

A lower bound on the Calabi functional for a degeneration of polarized varieties

Gabriel Frey · 2026

We prove a lower bound on the Calabi functional for degenerations of polarized varieties, involving the difference of CM degrees between generically isomorphic families. This may be viewed as a discre…

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