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Physics Preprint PDF DOI

Galilean boost invariance does not survive the trace: symmetry breaking in open quantum systems

Leonardo F. Calderon, Esteban Marulanda, Santiago Morales, Leonardo A. Pachon · 2026

Tracing out a Galilean-invariant Caldeira-Leggett environment breaks Galilean boost covariance of the reduced dynamics, while spatial translations and rotations survive intact. An operator-level analy…

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Physics Preprint PDF DOI

Testing Scale-Dependent Modified Gravity with DESI DR1

D. Gonzalez, G. Niz, A. Aviles, C. Garcia-Quintero, H.E. Noriega, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, A. de Mattia, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gaztanaga, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, D. Huterer, M. Ishak, R. Joyce, S. Juneau, R. Kehoe, D. Kirkby, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, A. Meisner, R. Miquel, S. Nadathur, W.J. Percival, I. Perez-Rafols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarle, B. A. Weaver, R. Zhou (DESI Collaboration) · 2026

The Dark Energy Spectroscopic Instrument (DESI) provides an unprecedented opportunity to test deviations from general relativity (GR) that introduce a new physical scale within its redshift range. Usi…

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Mathematics Preprint PDF DOI

Deformation of pairs of $\mathbb{P}^3$ and hypersurfaces

Jungkai Chen, Yongnam Lee, Phin-Sing Soo · 2026

Motivated by DeVleming's work on moduli of surfaces in $\mathbb{P}^3$ and Chen-Hu-Jiang's work on moduli of threefolds with volume $2$ and geometric genus $4$, we study the deformation of pairs of $\m…

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Computer Science Preprint PDF DOI

Hu\'i S\`u: Co-constructing a Dual Feedback Apparatus

Yichen Wang, Charles Patrick Martin · 2026

This performance presents a duet between two intelligent musical instruments, S\`u (to trace back; to go upstream) and Agentier (playing on agentic clavier), and their human performers, connected thro…

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Physics Preprint PDF DOI

Non-Abelian Particle-Loop, Fracton, and Planon Condensation in Cage-Net Models

Yifei Wang, Yu Zhao, Yingcheng Li, Hao Song, Yidun Wan · 2026

We present a framework for non-Abelian p-loop, fracton, and planon condensation in 3+1 dimensions by constructing extended cage-net fracton models using decoupled layers of the Hu-Geer-Wu (HGW) string…

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Physics Preprint PDF DOI

Solution of a large nonlinear recurrent neural network at fixed connectivity

Albert J. Wakhloo · 2026

We calculate the moments and response functions of a nonlinear random recurrent neural network in the large $N$ limit. Our approach does not require averaging over synaptic weights and gives the first…

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Medicine & Health Preprint PDF DOI

Visualising Parker Weighting in Short-Scan Cone-Beam Micro-CT: A Practical Reference

Falk L Wiegmann, Nancy L Ford · 2026

Short-scan FDK reconstruction is widely used in preclinical cone-beam micro-CT because it reduces scan time and radiation dose, and because the large volume sizes typical of micro-CT make iterative me…

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Medicine & Health Preprint PDF DOI

Benchmarking Open-Source FDK Against Commercial and Iterative Reconstruction Methods for Preclinical Micro-CBCT

Falk L Wiegmann, Nancy L Ford · 2026

Preclinical micro-CT reconstruction involves large projection sizes and volumes that make iterative methods costly - 5x to 50x slower than analytic alternatives on modern GPUs. Whether this cost is ju…

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AI & Data Science Preprint PDF DOI

TTS-PRISM: A Perceptual Reasoning and Interpretable Speech Model for Fine-Grained Diagnosis

Xi Wang, Jie Wang, Xingchen Song, Baijun Song, Jingran Xie, Jiahe Shao, Zijian Lin, Di Wu, Meng Meng, Jian Luan, Zhiyong Wu · 2026

While generative text-to-speech (TTS) models approach human-level quality, monolithic metrics fail to diagnose fine-grained acoustic artifacts or explain perceptual collapse. To address this, we propo…

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AI & Data Science Preprint PDF DOI

The Sample Complexity of Multicalibration

Natalie Collina, Jiuyao Lu, Georgy Noarov, Aaron Roth · 2026

We study the minimax sample complexity of multicalibration in the batch setting. A learner observes $n$ i.i.d. samples from an unknown distribution and must output a (possibly randomized) predictor wh…

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Mathematics Preprint PDF DOI

Small scale creation in 2D gravity-capillary water waves with vorticity

Yuanpeng Tu · 2026

In this paper, we consider 2D incompressible Euler equations in an unbounded domain with a free surface and a fixed bottom at finite depth. The fluid motion is under the influence of gravity and surfa…

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Physics Preprint PDF DOI

Obstructions to universality in globally controlled qubit graphs

Roberto Gargiulo, Roberto Menta, Vittorio Giovannetti, Robert Zeier · 2026

Global control offers a promising route to scalable quantum computing. A recent conjecture by Hu et al. (arXiv:2508.19075) proposes that any connected qubit graph equipped with global Ising-type inter…

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AI & Data Science Preprint PDF DOI

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li, Guang Li, Lingdong Kong, Yingyan Li, Han Wang, Shaoqing Xu, Yuechen Luo, Fang Li, Chenxu Dang, Junli Wang, Tao Xu, Jing Wu, Jianhua Wu, Xiaoshuai Hao, Wen Zhang, Tianyi Jiang, Lingfeng Zhang, Lei Zhou, Yingbo Tang, Jie Wang, Yinfeng Gao, Xizhou Bu, Haochen Tian, Yihang Qiu, Feiyang Jia, Lin Liu, Yigu Ge, Hanbing Li, Yuannan Shen, Jianwei Cui, Hongwei Xie, Bing Wang, Haiyang Sun, Jingwei Zhao, Jiahui Huang, Pei Liu, Zeyu Zhu, Yuncheng Jiang, Zibin Guo, Chuhong Gong, Hanchao Leng, Kun Ma, Naiyang Wang, Guang Chen, Kuiyuan Yang, Hangjun Ye, Long Chen · 2026

Chain-of-Thought (CoT) reasoning has become a powerful driver of trajectory prediction in VLA-based autonomous driving, yet its autoregressive nature imposes a latency cost that is prohibitive for rea…

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Mathematics Preprint PDF DOI

The Gomory-Hu inequality and trees

Oleksiy Dovgoshey, Olga Rovenska · 2026

Let $G=(V,E)$ be a finite connected graph with vertex set $V$ and edge set $E$, and let $U(G)$ be the set of all ultrametric spaces $(V,d_l)$ generated by vertex labelings $l\colon V \to \mathbb R^+$.…

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Mathematics Preprint PDF DOI

Gelfand--Kirillov dimension and mod $p$ cohomology for inner forms of $\mathrm{GL}_2$

Andrea Dotto, Bao V. Le Hung · 2026

Under standard assumptions, we compute the GK-dimension of Hecke eigenspaces in the mod $p$ cohomology of an inner form $D^\times$ of $\mathrm{GL}_2$ over a totally real field unramified at $p$, allow…

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AI & Data Science Preprint PDF DOI

A Deep Equilibrium Network for Hyperspectral Unmixing

Chentong Wang, Jincheng Gao, Fei Zhu, Jie Chen · 2026

Hyperspectral unmixing (HU) is crucial for analyzing hyperspectral imagery, yet achieving accurate unmixing remains challenging. While traditional methods struggle to effectively model complex spectra…

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Mathematics Preprint PDF DOI

Stochastic fractional heat equation with general rough noise

Bin Qian, Ran Wang · 2026

Consider the following nonlinear one-dimensional stochastic fractional heat equation $$\frac{\partial }{\partial t}u(t, x)= -(-\Delta)^{\alpha/2}u(t, x) +\sigma(t,x,u(t,x)) \dot{W}(t, x), $$ where $…

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Mathematics Preprint PDF DOI

Uniform weak RC-positivity and rational connectedness

Kuang-Ru Wu · 2026

In this paper, we show that if the holomorphic tangent bundle $TX$ of a compact K\"ahler manifold $X$ is uniformly weakly RC-positive, then $X$ is projective and rationally connected. This result is p…

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Mathematics Preprint PDF DOI

A Construction of $C^{r}$ Conforming Finite Elements on the Alfeld Split in Any Dimension

Ting Lin, Hendrik Speleers, Qingyu Wu · 2026

Constructing $C^r$ conforming finite element spaces in any dimension is a long-standing problem. For general triangulations, this problem was recently addressed by Hu-Lin-Wu (2024), under certain cond…

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AI & Data Science Preprint PDF DOI

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving

Yongkang Li, Lijun Zhou, Sixu Yan, Bencheng Liao, Tianyi Yan, Kaixin Xiong, Long Chen, Hongwei Xie, Bing Wang, Guang Chen, Hangjun Ye, Wenyu Liu, Haiyang Sun, Xinggang Wang · 2026

Vision-Language-Action (VLA) models have recently emerged in autonomous driving, with the promise of leveraging rich world knowledge to improve the cognitive capabilities of driving systems. However, …

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