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Mathematics Preprint PDF DOI

Colored Markov polycategories and diagrammatic differentiation

Theodore Papamarkou · 2026

Many stochastic systems are built by wiring typed components together, but the wiring is often neither purely sequential nor type-homogeneous. This paper develops categorical semantics for such system…

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Computer Science Preprint PDF DOI

A Monadic Implementation of Functional Logic Programs

Michael Hanus, Kai-Oliver Prott, Finn Teegen · 2026

Functional logic languages are a high-level approach to programming by combining the most important declarative features. They abstract from small-step operational details so that programmers can conc…

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Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic · 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluati…

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Mathematics Preprint PDF DOI

An Analysis of the Diaconis-Holmes-Neal Markov Chain Sampler Under Generalized Unimodal Underlying Probabilities

Martin V. Hildebrand, Christopher J. Lange · 2026

Upon the introduction of the Metropolis algorithm, the question of how many steps in the Markov chain were needed to achieve convergence to stationarity became apparent. The convergence was rather slo…

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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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Computer Science Preprint PDF DOI

On the Complexity of Robust Markov Decision Processes and Bisimulation Metrics

Marnix Suilen, Guillermo A. Perez · 2026

Robust Markov decision processes (RMDPs) extend standard Markov decision processes (MDPs) to account for uncertainty in the transition probabilities. RMDPs have an uncertainty set that defines a set o…

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Mathematics Preprint PDF DOI

Exact formula for the 2-marginal second moment function of the multidimensional symmetric Markov random flight

Alexander D. Kolesnik · 2026

We consider the symmetric Markov random flight $\bold X(t), \; t>0,$ in the Euclidean space $\Bbb R^m, \; m\ge 3$, performed by a particle that moves in $\Bbb R^m$ with constant finite speed and chang…

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Mathematics Preprint PDF DOI

Implications of weak convergence rates of Markov transition kernels

Austin Brown · 2026

This article extends weak convergence bounds of Markov transition kernels to convergence bounds on the variance of the Markov kernel applied to Lipschitz functions. In the reversible case, weak conver…

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Mathematics Preprint PDF DOI

Non-uniqueness of nonlinear Markov processes in the sense of McKean associated with parabolic PDEs

Ehsan Abedi, Florian Bechtold, Marco Rehmeier · 2026

We derive a general scheme to construct infinitely many probabilistic counterparts for solutions to nonlinear PDEs by recasting the latter as different nonlinear Fokker--Planck equations and by constr…

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AI & Data Science Preprint PDF DOI

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions

An Nguyen, Hoang Nguyen, Phuong Le, Hung Pham, Cuong Do, Laurent El Ghaoui · 2026

We study city-scale control of electric-vehicle (EV) ride-hailing fleets where dispatch, repositioning, and charging decisions must respect charger and feeder limits under uncertain, spatially correla…

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AI & Data Science Preprint PDF DOI

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo · 2026

We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE features a highly sparse design in which only around 5\% of the total parameters are activate…

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AI & Data Science Preprint PDF DOI

Sudoku Solving and Finding Magic Squares by Probability Models and Markov Chains

Nils Lid Hjort · 2026

The sudoku puzzles have a long history, with variations going back more than a hundred years, but its current and perhaps surprising world-wide prominence goes back to certain initiatives and then puz…

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Computer Science Preprint PDF DOI

TetrisG-SDK: Efficient Convolutional Layer Mapping with Adaptive Windows and Grouped Convolutions for Fast In-Memory Computing

Ke Dong, Kejie Huang, Tao Luo, Bo Wang · 2026

Shifted-and-Duplicated-Kernel (SDK) mapping has emerged as an effective strategy to accelerate convolutional layers on compute-in-memory (CIM) hardware. However, existing SDK variants (e.g., VWC-SDK) …

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AI & Data Science Preprint PDF DOI

Conflict Forecasting via Conformal Prediction for Markov Processes

Aditya Basarkar, Emmett B. Kendall, David Randahl, Jonathan P. Williams, Gudmund H. Hermansen · 2026

Whether or not a country is at war, or experiencing escalating or deescalating levels of conflict, has massive ramifications on a country's national and foreign policy. Given a country's history of co…

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Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos · 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, ex…

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AI & Data Science Preprint PDF DOI

Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series

Marco A. Gallegos-Herrada, Vianey Leos-Barajas, Jeffrey S. Rosenthal · 2026

Bayesian inference in hidden Markov models (HMMs) can be challenging due to the presence of multimodality in the likelihood function, and consequently in the joint posterior distribution, even after c…

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Computer Science Preprint PDF DOI

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le · 2026

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@k$, pass$^k$, and th…

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AI & Data Science Preprint PDF DOI

Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters

Takato Yasuno · 2026

Bayesian finite mixture models can identify discrete risk clusters (low-risk vs. high-risk equipment), but face three critical bottlenecks: (1) insufficient degradation signals from coarse state discr…

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Physics Preprint PDF DOI

Intermittency-Driven Turbulence Cascade Memory Extends the Markov-Einstein Coherence Length Beyond the Canonical Estimate

Y. Sungtaek Ju · 2026

Using direct numerical simulation of forced isotropic turbulence at $\text{Re}_\lambda \approx 1300$ and $\approx 433$, together with two independent Markov-by-construction null surrogates, we measure…

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Mathematics Preprint PDF DOI

On Global-in-time Solutions of Incompressible MHD Equations with Small Alfv\'en Numbers

Fei Jiang, Xiao Ren, Yi Zhou · 2026

In 1965 Kraichnan pointed out that a sufficiently strong background magnetic field, i.e. the case of small Alfv\'en number, will reduce the nonlinear interaction and inhibit the formation of strong gr…

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