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Mathematics & Statistics
New mathematics and statistics is posted on arXiv, often long before it appears in a journal. This page shows the newest papers ReadSearch has read, from algebra and geometry to analysis, probability and applied mathematics.
The newest 1,000 papers, from 13 October 2026 to 5 November 2026: 968 arXiv preprints and 32 OpenAlex records.
Newest papers, page 47
Geometric Graph Representations via Compact SAT Encodings
We present compact SAT encodings and certifying exact solvers for boxicity and cubicity.Near-Optimal Parallel $M$-Matrix Scaling
In this paper we consider the problem of computing a positive diagonal scaling of a $d \times d$ symmetric $M$-matrix so that all row and column sums are $1$.Classical Capacity of Single-Mode Bosonic Gaussian Channels
The classical capacity of a noisy optical channel is the maximum rate at which information can be transmitted reliably, given a constraint on the mean input energy.BOLT: Multi-Bottleneck Bound-Guided Learning for Flexible Job-Shop Scheduling with Time Lags and Resource-Coupled Transport
Flexible job-shop scheduling becomes resource-coupled when a scarce vehicle fleet moves jobs between stations, because the schedule sets the transport waits.Multi-Time States in Quantum and Operational Probabilistic Theories: An Axiomatic Framework
Quantum states over time were introduced, in part, to extend Bayesian probability to quantum theory and have since found applications across diverse areas, ranging from quantum causality and…Source-Aware Dynamic Pricing with Strategic Buyers
In modern commerce, firms and platforms typically use customer features from different sources to personalize prices: some features are verified using seller records or third-party data, while…An improved randomized algorithm for finding sinks of Acyclic Unique Sink Orientations of the binary hypercube
Acyclic Unique Sink Orientations (AUSOs) of the binary hypercube form an elegant abstraction of various optimization problems, ranging from linear programs whose feasibility region is a…A thermally and perturbatively stable classical spin model in two dimensions
We show that the 2D classical spin model constructed in arXiv:2605.10943 hosts many metastable states at non-zero temperature which are stable to arbitrary Hamiltonian perturbations, providing the…Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification
Data-driven approaches often face ambiguity in datasets due to sensor or target noise, insufficient information, and noise in the input data.Computing Fréchet Means on Unknown Submanifolds of Riemannian Manifolds
Empirical averages are fundamental statistical primitives.Hard Instances on Demand
The conclusions of an experimental study of algorithms are only as good as the instances they are run on.Optimal approximation of smooth functions by ReLU neural networks
We study uniform approximation of the Hölder ball $\mathcal H_1^s([0,1]^D)$ by fully connected ReLU networks.Chance-Constrained Personalized LLM Routing with Online Preference Learning
We study personalized LLM routing, where a router selects among heterogeneous models with different costs and capabilities.A simpler proof that there are no Landau--Siegel zeros
This paper simplifies the recent OpenAI proof that there are no Landau--Siegel zeros.Failure of direct finiteness for group algebras in every odd characteristic
For every odd prime $p$, we construct a finitely presented group $G_p$ and elements $a,b,c\in\mathbb{F}_p[G_p]$ such that $ab=1$, $ac=0$, and $c\ne0$.Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification
In many modern applications, obtaining response variables is costly, time-consuming, or technically challenging, making it impractical to measure outcomes for all available units.Asymptotic Behavior of Transformers
In this paper we study the behavior of transformer networks generating text over long periods of time.A note on the A.C. spectrum of limit-periodic Jacobi matrices
We show that limit-periodic Jacobi matrices in the weak exponential class $EC(η)$ have purely absolutely continuous spectral type when $η$ is sufficiently large, depending only on the…Common Signals, Spurious Cross-Excitation, and Identification in Multivariate Hawkes Processes
Multivariate Hawkes models are widely used to measure endogenous interactions in event data, but latent common signals can generate apparent excitation even without structural interaction.Large-Step Last-Iterate Convergence of Random-Reshuffling Stochastic Gradient Descent
Random reshuffling stochastic gradient descent (RR-SGD) is widely used for finite-sum optimization in machine learning.
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