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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 19
Online carpooling against an oblivious adversary
In the online carpooling problem, edges on $n$ vertices arrive one at a time and must be oriented immediately, so as to keep the difference between the indegree and the outdegree of every vertex…Transformer-Based Reinforcement Learning for Phase I Dose Allocation
Phase I dose-finding trials must learn from sparse toxicity observations while limiting exposure to overly toxic doses.Measurement-angle control of a continuously monitored quantum oscillator: purification limits and optimal protocols
We study the dynamic purification of a continuously monitored quantum harmonic oscillator coupled to a thermal bath, where the control is the quadrature measurement angle of up to two detectors with…Analog and hybrid computing in the 21st century
Analog computers solve problems through physical representations of mathematical variables and relations, often using the dynamics of electronic circuits and their associated signals.Learning to evolve by matching velocities
Learning the continuous-time evolution of nonlinear dynamical systems relies on trajectory-based objectives, which require simulating the learned dynamics during training and backpropagating through…Mutual Information Estimation via Triangular Transport Maps: Finite Sample Guarantees and Sample Allocation
We study finite sample guarantees for transport based mutual information estimation.When the Same Prompt Gives Different Answers (and the Same Answer Isn't Always Right): A Taxonomy of Failure Mechanisms, Testing, and Mitigation Strategies for LLM-Assisted Evidence Synthesis Read-and-Evaluate Tasks
LLM read-and-evaluate tasks include study screening, data extraction, risk-of-bias assessment, and critical appraisal in the evidence synthesis field.Beyond energy bounds: comparing Schrödinger eigenstates
We derive eigenstate comparisons from ordered Schrödinger operators, extending energy bounds to overlaps, spatial distributions and nodes.Zero-Complement Extrapolation: Parameter Recovery and Classification in Severely Imbalanced Logistic Regression under Rank-Deficient Regimes
Parameter estimation and classification in binary logistic regression deteriorate severely when the number of minority class observations ($n_1$) is smaller than the feature dimension ($p$).Fast rigid rotational alignment of voxelized 3-D density maps in sliced Wasserstein distance
We develop a fast method for the rigid alignment of voxelized three-dimensional density functions over $\mathsf{SO}(3)$ using sliced optimal transport.LLM-Assisted Optimization for Simulation-Based Redesign
Engineering design frequently involves redesigning a prior solution to adapt to changes in context, such as material prices or system requirements.There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
Reinforcement learning with verifiable rewards (RLVR) makes a language model solve more problems on the first try and fewer when given many tries: it raises pass@1 while the base model overtakes it…Limit Theorems and Optimal Policies for Flock Flight through Poisson Forests
Inspired by birds flying through cluttered environments, Karaman and Frazzoli showed that high-speed flight through an ergodic random forest exhibits an ultimate speed limit: above a critical speed…Information-Driven Collaborative Autonomy for Heterogeneous UAV/UGV Teams
This paper considers coordinating a heterogeneous team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) traversing a domain containing an unknown number of potentially…Analytic Solutions To Fully Quantized Parametric Amplification
We derive analytic expressions for observable dynamics under the fully quantized trilinear Hamiltonian, governing quantum three-wave mixing and parametric amplification.Pöschl-Teller type of Jaynes-Cummings Hamiltonians: SUSY transformations
The aim of this work is to define and investigate the generalized Jaynes-Cummings (JC) Hamiltonian by means of supersymmetric (SUSY) quantum mechanics methods.Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence
Many applications of multi-objective reinforcement learning (MORL) require policies that balance conflicting objectives while satisfying safety constraints.Dobb: Shard-Local Preconditioning in Block-Diagonal Eigenbases
Training language models whose parameters and optimizer state exceed a single node's memory requires sharding these tensors across devices.Conic-Lifting for Learning-rate-free Convex Optimization
A central topic in online and stochastic optimization is to design algorithms that do not require tuning of hyperparameters.Non-Asymptotic Confidence Regions for Separable Nonlinear Models
This paper studies robust uncertainty quantification for separable nonlinear least squares (SNLLS) problems.
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