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Mathematics Preprint PDF DOI

Time-dependent Robin heat equation via Markovian switching

Fausto Colantoni · 2026

This paper investigates the heat equation on a bounded domain with a Robin boundary condition, where the reactivity parameter (or killing rate) is modeled as a continuous-time Markov chain. We analyze…

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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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Mathematics Preprint PDF DOI

Exact formula for the 2-marginal second moment function of the multidimensional symmetric Markov random flight

Alexander D. Kolesnik · 2026

We consider the symmetric Markov random flight $\bold X(t), \; t>0,$ in the Euclidean space $\Bbb R^m, \; m\ge 3$, performed by a particle that moves in $\Bbb R^m$ with constant finite speed and chang…

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Computer Science Preprint PDF DOI

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation

Yibiao Wei, Jie Zou, Pengfei Zhang, Xiao Ao, Weikang Guo, Zeyu Ma, Yang Yang · 2026

Generative recommendation frameworks typically represent items as discrete Semantic IDs (SIDs). While existing studies have sought to enhance SID construction by incorporating multimodal content, coll…

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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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AI & Data Science Preprint PDF DOI

Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records

Kalyani P. Pande, Evan Yang, Bryan Zhu, Sandeep K. Mallipattu, Alisa Yurovsky, Tengfei Ma · 2026

Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-wi…

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AI & Data Science Preprint PDF DOI

Kwai Summary Attention Technical Report

Chenglong Chu, Guorui Zhou, Guowang Zhang, Han Li, Hao Peng, Hongtao Cheng, Jian Liang, Jiangxia Cao, Kun Gai, Lingzhi Zhou, Lu Ren, Qi Zhang, Ruiming Tang, Ruitao Wang, Xinchen Luo, Yi Su, Zhiyuan Liang, Ziqi Wang, Boyang Ding, Chengru Song, Dunju Zang, Hui Wang, Jiao Ou, Jiaxin Deng, Jijun Shi, Jinghao Zhang, Junmin Chen, Lejian Ren, Minxuan Lv, Qianqian Wang, Qigen Hu, Shiyao Wang, Siyang Mao, Tao Wang, Xingmei Wang, Zhixin Ling, Ziming Li, Zixing Zhang · 2026

Long-context ability, has become one of the most important iteration direction of next-generation Large Language Models, particularly in semantic understanding/reasoning, code agentic intelligence and…

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AI & Data Science Preprint PDF DOI

TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations

Yifeng Bai, Zhirong Chen, Erkang Cheng, Haibin Ling · 2026

Topology reasoning is crucial for autonomous driving. Current methods primarily focus on instance-level learning for centerline detection, followed by a sequential module for topology reasoning that r…

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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

Quantum Knowledge Graph: Modeling Context-Dependent Triplet Validity

Yao Wang, Zixu Geng, Jun Yan · 2026

Knowledge graphs (KGs) are increasingly used to support large lan guage model (LLM) reasoning, but standard triplet-based KGs treat each relation as globally valid. In many settings, whether a relatio…

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AI & Data Science Preprint PDF DOI

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting

Naveen Mysore · 2026

Accurate time series forecasting in scientific domains such as climate modeling, physiological monitoring, and energy systems benefits from both competitive predictions and model transparency. This wo…

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Mathematics Preprint PDF DOI

On Global-in-time Solutions of Incompressible MHD Equations with Small Alfv\'en Numbers

Fei Jiang, Xiao Ren, Yi Zhou · 2026

In 1965 Kraichnan pointed out that a sufficiently strong background magnetic field, i.e. the case of small Alfv\'en number, will reduce the nonlinear interaction and inhibit the formation of strong gr…

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AI & Data Science Preprint PDF DOI

Discovering Agentic Safety Specifications from 1-Bit Danger Signals

Victor Gallego · 2026

Can large language model agents discover hidden safety objectives through experience alone? We introduce EPO-Safe (Experiential Prompt Optimization for Safe Agents), a framework where an LLM iterative…

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Computer Science Preprint PDF DOI

Ethics Testing: Proactive Identification of Generative AI System Harms

Shin Hwei Tan, Haibo Wang, Heng Li · 2026

Generative Artificial Intelligence (GAI) systems that can automatically generate content in the form of source code or other contents (e.g., images) has seen increasing popularity due to the emergence…

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AI & Data Science Preprint PDF DOI

LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello · 2026

Kolmogorov-Arnold Networks (KANs) are a recent neural network architecture offering an alternative to Multilayer Perceptrons (MLPs) with improved explainability and expressibility. However, KANs are s…

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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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Earth & Environmental Sciences Preprint PDF DOI

Turbulent infall onto class 0 disks as cause of CAI brief condensation episode in the solar system

Jiachen Zheng, Xing Wei, Hongping Deng, Wenrui Xu, Douglas N. C. Lin · 2026

Calcium-aluminum-rich inclusions (CAIs) in carbonaceous chondritic meteorites are the oldest relics in the solar system. Notably, their radiogenic age feature a brief (100 kyr) condensation episode. I…

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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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