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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 31
Causal Inference in Metric Spaces via Distance Profiles
Modern interventions increasingly produce object-valued outcomes, such as distributions, covariance matrices, networks, and trees.Affine-invariant Cubic Newton with Weak Learners
Modern gradient boosting algorithms are based on Newton's method, which excels empirically but lacks global convergence guarantees.When is a bosonic operator a Hamiltonian?
Hermitian polynomials in the quadrature operators $x$ and $p$ are the basic ingredients of continuous-variable quantum information, and increasingly exotic ones are now routinely engineered in…Admissible Subspaces for the Collective Haar Twirl: Schur-Weyl Classification and Heredity under Tensor-Factor Reduction
Quantum private broadcasting (\textsf{QPB}) asks whether a quantum message can be encrypted once, broadcast to several recipients, and decrypted locally while the joint ciphertext reveals no…Krylov geometry and optimal recovery under uncertain coherent noise
Recovery from a coherent rotation with an unobserved angle depends on both the encoding and what calibration reveals about the noise.On the Error Analysis of Triangular Transport Maps for Conditional Generation via MMD-based Objectives
Conditional generative models parameterized by triangular transport maps are widely used for conditional sampling, yet theoretical guarantees on the quality of the conditional measures they produce…Allocation Before the Clock: Graph, Set and Game Theory of Professional League of Legends Objective Setups
Before every neutral objective in professional League of Legends, each team decides which of its five players walk to the pit, which hold a lane, and when to commit.Physics-Informed Graph-Based Safe RL with Constraint-Specific Critics for Community Battery Coordination in Distribution Network
High penetrations of distributed energy resources (DERs) and fast-varying electric vehicle (EV) charging intensify voltage and line-limit violations in distribution networks (DNs), making safe…Task-Directed Spectral Design for Local Quantum Tomography
Many tomography tasks require only a low-dimensional function of the state.Polynomial Residual Networks are Generically Identifiable
We prove identifiability results for constant-width residual networks with polynomial activations and bias terms.Induced Bell-CHSH observables in the Fewster-Verch measurement scheme
The Summers-Werner theorem shows that the vacuum of a relativistic quantum field theory violates the Bell-CHSH inequality maximally on complementary wedges, but it is an existence statement: it…The Geometry of Limits in ReLU Function Spaces
We study the geometry and closure of spaces of functions realized by ReLU neural networks of fixed architecture.Greedy Orthogonal Polynomial Manifolds with Lipschitz Control for Dimensionality Reduction and Reduced Modeling
Polynomial manifolds provide nonlinear low-dimensional representations through polynomial decoders.Jensen gaps and the decomposition principle
We provide axiomatic characterizations of Jensen-gap functionals, which have the form $ρ(X)=\mathbb{E}[f(X)]-f(\mathbb{E}[X])$ for some real-valued function $f$ called the generator.Banach-Cesaro positive operator-valued measure
We construct a family of bounded, finitely additive, covariant positive operator-valued measures (POVMs) on the real line by applying generalised Banach-Cesaro asymptotic averaging to locally finite…V-Representability Beyond Singular Times in Time-Dependent Density Functional Theory: The Hubbard Dimer Case
We study the global $V$-representability problem in time-dependent density functional theory (TDDFT) for the two-particle Hubbard dimer model in the spin-singlet sector.Helstrom geometry with time-dependent spectral calibration
In a recent work we introduced a finite scalar-qubit-scalar spectral triple whose Connes distance reproduces the Bloch-ball trace metric up to a factor $2/Λ$, where $Λ^2=μ_L^2+μ_R^2$ for isotropic…The Computational Assessment Stack: An Architecture for AI-Native Measurement
Test development is shifting toward automation and agentic artificial intelligence (AI), in which autonomous systems draft items at scale, assemble test forms, administer adaptive assessments, score…EnerGNN: Learning Optimization-Compatible Energy Functions for Exact Constrained Combinatorial Inference
Learning-based approaches to combinatorial optimization often predict solutions directly or use predictions to restrict search, while expressive energy-based models typically rely on approximate…Additive uncertainty relations via pseudospectral methods
Given Hermitian observable $A$, the variance of $A$ is given by the difference of expectations $\langle A^2\rangle - \langle A\rangle^2$, where the expectation of an observable implicitly assumes a…
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