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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 9
Explicit permutations of $(\mathbb{Z}/4\mathbb{Z})^m$ with uniformly bounded differential uniformity
Symmetric primitives over Galois rings need nonlinear components whose differentials with respect to ring addition are controlled.Where Is a Prediction Model Miscalibrated, and for Whom? Local Audits in Outcome-Learned Pockets
Overall and group-level averages, and ranking metrics such as the AUC, can hide sets of observations for which a prediction model systematically over- or under-predicts.Fine-Grained Complexity Across the Computational Phase Transition
How does a computational problem transition from easy to hard?The Staged Pandora's Box: Reservation Indices for Multi-Fidelity Bayesian Optimization
A staged search must decide which candidate to advance next and when to stop.Equivalent Graphical Conditions for Angle Rigidity and Angle-Based Network Localization
Angle rigidity theory provides a theoretical basis for characterizing the geometric shape of graphs embedded in the plane under angle constraints, and establishing global convergence of angle-based…POD-CNF: reduced order modeling of parametrized stochastic PDEs via normalizing flows and proper orthogonal decomposition
Reduced-order models (ROMs) learned from trusted numerical simulations enable the real-time simulation of complex physical systems, making computationally prohibitive tasks-such as uncertainty…SynForecast: Controlled Synthetic Time Series for Forecasting Research
Synthetic time series constitute a substantial share of the training corpora of several recent forecasting foundation models.Sketching in Regression: Sketchy in Practice?
The Johnson-Lindenstrauss (JL) lemma and its extensions provide tools for solving the $L_2$ regression problem in high-dimensional settings with $n>d$, by transforming a subspace of $\mathbb{R}^{n}$…Offline Approximate Value Iteration: A Reinforcement Learning Approach for Satellite Constellation Deployment
This paper introduces a reinforcement learning-based approximate dynamic programming approach to optimize the deployment of Walker-type satellite constellations under uncertainties, including launch…When Is Tracking Affordable? A Movement-Budget Feasibility Threshold for Dynamic Regret
Dynamic regret measures an online learner against a moving comparator, and standard analyses assume the learner may move freely at every round.Efficient Detailed Scheduling of Multiproduct Pipelines using Action-Decoupled Deep Reinforcement Learning
Multiproduct pipelines transport refined products to delivery stations in sequential batches, and their detailed scheduling must meet market demand while respecting nonlinear hydraulic constraints.A Universal Policy Wrapper With Guarantees
Many control tasks require driving the system into a prescribed goal set and subsequently keeping it there.Full-Rank Constructions of Explicit Lossless Expanders and Good Small-Set qLTCs
We construct explicit two-sided lossless expanders whose binary adjacency matrices have full rank, and use them to obtain explicit asymptotically good quantum LDPC codes whose specified X- and…Computational performance versus numerical accuracy in the acoustic terms of weakly-compressible SPH
Accurate computation of the acoustic terms in weakly-compressible SPH, including the equation of state, its inverse, and the evaluation of the local speed of sound, is essential to ensure energy…Hybrid Federated Learning for Multimodal Fusion under Missing Modalities and Site Heterogeneity
Multimodal fusion is studied under hybrid federation, where data are partitioned across samples and feature blocks.Finite-horizon Optimal Consumption and Investment with Costly Income Adjustment
We study optimal consumption and investment for an investor who receives labor income until a fixed retirement date, can raise the income rate irreversibly at a constant price per unit of income…Diagonal Equivalence in State Space Models: Characterization, Retrieval Rank, and Selective Extensions
We classify real and complex state-space models (SSMs) with linear transitions, distinguishing fixed-basis diagonal equivalence from input-output equivalence and tracking coefficient-conditioning…Reed-Muller Codes are Optimal Binary Linear 3-Query LCCs
We prove that any linear $3$-query locally correctable code $C \colon \mathbb{F}_2^k \to \mathbb{F}_2^n$ with constant correction radius must have length $n \geq 2^{Ω(\sqrt{k})}$.Causal discovery needs explicit epistemic standards
There are many causal discovery algorithms, but few guiding principles for choosing between them.Asymptotically Optimal Weighted Edge Colorings via Local Bin Packing
We study weighted edge coloring, where each edge of a graph $G$ has a weight in $(0,1]$, and colors are assigned so that the incident weight of each color at every vertex is at most one.
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