A field on ReadSearch
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 21
Bulk gap stability and spectral flow for fermions with weak long-range interactions
We prove that weak long-range many-body interactions preserve the bulk gap of a free fermion system and that a quasi-local spectral flow transports the free ground state to ground states of the…Transport in spinful non-Hermitian gauge lattices
We extend the generalized transfer-matrix method introduced in [H.Optimal Neural Estimation for High-Dimensional Nonparametric Regression under Multisource Covariate Shift
We study high-dimensional nonparametric regression under multisource covariate shift, where $\mathrm J$ sources of training data share a common regression function but differ in their covariate…Local determination of low-energy states in gapped fermion systems with weak long-range interactions
We consider bulk-gapped fermion systems whose infinite-volume bulk is obtained by adding sufficiently weak even many-body interactions to a free Hamiltonian with spectral gap $g>0$, allowing…Quantum communication: a discrimination approach
We develop a state discrimination approach to unassisted quantum communication through a noisy quantum channel.Rapid mixing for Gibbs samplers for quantum spin systems with all-to-all interactions
Understanding when quantum many-body systems rapidly converge to thermal equilibrium is a central problem in quantum statistical mechanics.Comparing tail forecasts: the number of exceedances is the sample size
When two forecasts of a tail, such as prediction intervals at high coverage, extreme quantiles or expected shortfall (ES), are compared by a consistent score, the score difference is known in…Half-Optimal Induced Matchings in Random Graphs: Online and Low-Degree Algorithms
For many optimization problems on random graphs, most prominently the largest independent set problem, natural algorithms reach only half the optimum, and such factor-two gaps are known to be sharp…Finite-Sample LTI System Identification from a Misspecified Finite Model Set
We consider the problem of finite-sample identification of an unknown LTI system from a finite hypothesis class.Exponential Convergence of the Lifted Gradient Flow of the Bass Functional
We establish multidimensional exponential convergence of the lifted Bass gradient flow in martingale optimal transport.Adaptive search with path-constrained mobile sensors using multi-arm bandits
We study a constrained sequential decision problem for detecting regions of interest from noisy online measurements collected by a team of energy-constrained mobile sensors.Process matrices on generalised theories
We extend the process-matrix framework for defining indefinite causal orders to a broad class of generalised physical theories.Entropic Fluctuations in Quantum Statistical Mechanics: A Review
The celebrated Evans--Searles, respectively Gallavotti--Cohen, fluctuation theorem concerns certain universal statistical features of the entropy production rate of a classical system in a…Lattice moments and quantum designs
We show that the ensemble of unimodular Gottesman$-$Kitaev$-$Preskill distributions fails to form a rigged quantum $3$-design and quantify the replica defect that determines this failure.Zero-freeness for Random Regular Graphs up to the Replica Symmetry Breaking Threshold
We study antiferromagnetic spin systems on random regular graphs through the lens of the phase transitions characterized by the complex zeros of the partition function.Single-Temperature Ranked Greedy Cluster Exchange for Max-Cut on Two-Dimensional Tori
Ground-state search in two-dimensional Ising spin glasses on large toroidal lattices remains challenging for local-update heuristics because rugged energy barriers impede relaxation across…NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
We introduce NEOPIC, a framework for learning the field operator in particle-based methods applied to kinetic plasma simulations.Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
As AI's mathematical capabilities rapidly improve, meaningful benchmarks are shifting from university-level problems and math olympiads to research-level mathematics.The Value of Experiments in Assortment Optimization
Retailers can learn customer preferences by experimenting with different assortments.Nearly-Optimal Time-Sample Trade-off in Consensus Dynamics
How does the number of sampled opinions affect the time required to reach consensus in distributed consensus dynamics?
Get the few papers worth your time in Mathematics & Statistics every morning.
Choose your topics and ReadSearch reads the new papers in them each day, then brings you the few worth reading, each with its key finding in a sentence.