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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: 971 arXiv preprints and 29 OpenAlex records.
Newest papers, page 27
Stellar Representation of Gottesman Kitaev Preskill States on the Double Discrete Cylinder
Covariant integral quantization is developed on the double discrete cylinder phase space, with the torus as configuration space, and yields the Wigner distribution and the stellar representation.Combining Multiple Incomplete Astronomical Surveys to Estimate Galaxy Flux Distributions
In astrophysics, the distributions of fluxes or intensities of populations of sources provide insight into the structure and evolution of the universe.The Geometry of Quantum Teleportation in Phase Space
We formulate the standard quantum teleportation protocol within the framework of deformation quantization, employing the Stratonovich--Weyl (SW) correspondence and the associated star product on the…Finite-Sample Optimal Conformal Prediction Sets under Covariate Shift
We study conformal prediction under covariate shift with a known covariate density ratio, seeking prediction sets with minimum expected length under the target distribution.SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation
Rounded capacity cuts (RCCs) are among the most effective cuts for capacitated vehicle-routing relaxations, but exact separation is computationally prohibitive at scale.Conformal Predictive Distributions for Contextual Order Fulfillment Optimization
Ship-to-home fulfillment requires a retailer to select a fulfillment location and carrier before the delivery time is known.Neural Compression of Long ADMM Trajectory for Multiparametric Quadratic Program
Solving large-scale multiparametric quadratic programs (mpQPs) in real time often requires thousands of iterative optimization updates, creating a major computational bottleneck in model predictive…Spectral delocalization and central limit theorems for Fourier functionals of stationary Gaussian fields
We characterize Gaussian fluctuations of Fourier-Hermite functionals of stationary Gaussian fields on locally compact Abelian groups via spectral delocalization: conditional on the total spectral…Pro-Active Inference
Estimating a population mean is fundamental across scientific applications, but observing every outcome can be prohibitively expensive.Beyond Multiplicity Correction: Sharp Retrieval Thresholds for Attention with Correlated Distractors
Redundant context affects attention in two distinct ways: multiplicity adds normalization mass, while score variation within correlated groups can produce extreme individual scores.Rank-one Factored Gradient Descent without Restricted Isometry: Application to Quantum Pure State Tomography on Multi-Qubits
Factored gradient descent (FGD) is a scalable nonconvex method for low-rank positive semidefinite matrix recovery, in which the rank and positivity constraints are satisfied automatically by the…Intrinsic Information Rates of Summaries in Simulation-Based Inference
Simulation-based inference often encodes observations $Y$ into a fixed-dimensional summary $S$, with the posterior conditioning only on $S$.Intervene, Calibrate, Discover: Learning Causal Structure from Pixels
Learning high-level causal variables from low-level observations is a central problem for artificial intelligence.Designing Customer Feedback for Subscription Boxes
Problem definition: Subscription box services often ask customers for ratings before choosing what to send.Linear Hashing Is Poissonesque
The Poisson approximation theorem states that when $m$ balls are tossed uniformly and randomly into $n$ bins, the distribution of the bin loads can sometimes be approximated by $n$ independent…Accuracy and efficiency of compact foundation models for surface-water mapping during floods
Pretrained Earth observation models may reduce the effort needed to map surface water, but their value depends on the alternative against which they are compared.Membership in the cone of quantum states over time is NP-hard
A state over time (stote) pairs a state $ρ$ with a channel $\mathcal{E}$ as the Hermitian, generally non-positive operator $(ρ\otimes\mathbf{1})\star J_\mathcal{E}$.Reinforcement learning for constrained stochastic linear--quadratic control in continuous time
We study continuous-time stochastic linear--quadratic control with a scalar state and nonnegative control constraints.Conformal Novelty Detection via Data-enhanced Localization
Novelty detection is an important area of research in both statistics and machine learning.Martingality in EFM Signature Volatility Models
We establish a martingality criterion for the Exponentially Fading Memory (EFM) signature volatility model, extending the recent result of Abi Jaber, Gassiat, and Sotnikov (2026).
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