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Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric · 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support the…

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Computer Science Preprint PDF DOI

Beyond Code, We Are People: A Systematic Mapping of 25 Years of Literature on Soft Skills in Agile Development Teams

Israely Lima, Lucas Moura Lourenco, Marcio Ribeiro, Ivan Machado, Carla Ilane Bezerra · 2026

Software development is a sociotechnical and human-centered endeavor in which human factors directly influence quality, productivity, and innovation capacity. In this context, career development in co…

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Physics Preprint PDF DOI

Observation of the Magnus Nonlinear Hall effect from Chiral Weyl Monopoles

Heda Zhang, Nikolai Peshcherenko, Ning Mao, Nianlong Zou, Jiaqiang Yan, Claudia Felser, Yang Zhang · 2026

The nonlinear Hall effect (NLHE) connects crystalline symmetry to quantum geometry, offering a probe of band topology beyond linear transport. While most studies have focused on the Berry curvature di…

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Physics Preprint PDF DOI

Deep Strong light-matter Coupling in 3D Kane Fermions

Dmitriy Yavorskiy, David Hagenmuller, Noureddine Charrouj, Yurii Ivonyak, Alexander Kazakov, Yanko Todorov, Wojciech Knap, Marcin Bialek · 2026

Deep strong light-matter coupling represents an extreme non-perturbative regime of quantum electrodynamics, in which the interaction strength exceeds the bare frequencies of the uncoupled systems. The…

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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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AI & Data Science Preprint PDF DOI

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human--LLM Judgment Gaps

Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · 2026

Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments into a single gold standard, discarding the distr…

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Physics Preprint PDF DOI

Planar master integrals for two-loop NLO electroweak light-fermion contributions to $g g \rightarrow Z H$

Shu-Xiang Li, Ren-You Zhang, Xiao-Feng Wang, Pan-Feng Li, Xiang-Jie Wei, Yi Wang, Yi Jiang, Qing-hai Wang · 2026

For the two-loop next-to-leading-order electroweak (NLO EW) corrections to $gg \rightarrow ZH$, the light-fermion contributions can be classified into eight distinct topologies. Using the canonical di…

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AI & Data Science Preprint PDF DOI

Machine Collective Intelligence for Explainable Scientific Discovery

Gyoung S. Na, Chanyoung Park · 2026

Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximati…

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Computer Science Preprint PDF DOI

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos · 2026

We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, meaning that every bu…

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Computer Science Preprint PDF DOI

Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)

Chandra N. Sekharan, George K. Thiruvathukal · 2026

Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contribu…

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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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Economics & Finance Preprint PDF DOI

The Signal Credibility Index for Prediction Markets: A Microstructure-Grounded Diagnostic with Weighted and Time-Varying Extensions

Maksym Nechepurenko · 2026

Prediction-market price moves are widely treated as informationally equivalent: a price jump is read the same way regardless of whether it reflects durable Bayesian updating, transient liquidity press…

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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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Economics & Finance Preprint PDF DOI

From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets

Yikuan Huang, Zheqi Fan, Kaiqi Hu, Yifan Ye · 2026

LLM agents are promising tools for empirical discovery, but their flexibility can also turn discovery into uncontrolled search. We study how to use agents under a reproducible protocol through cryptoc…

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AI & Data Science Preprint PDF DOI

Differentially-Private Text Rewriting reshapes Linguistic Style

Stefan Arnold · 2026

Differential Privacy (DP) for text matured from disjointed word-level substitutions to contiguous sentence-level rewriting by leveraging the generative capacity of language models. While this form of …

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AI & Data Science Preprint PDF DOI

Human-in-the-Loop Benchmarking of Heterogeneous LLMs for Automated Competency Assessment in Secondary Level Mathematics

Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi · 2026

As Competency-Based Education (CBE) is gaining traction around the world, the shift from marks-based assessment to qualitative competency mapping is a manual challenge for educators. This paper tackle…

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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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Engineering Preprint PDF DOI

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs

Lorenzo Zapparoli, Paul Fath, Blazhe Gjorgiev, Giovanni Sansavini · 2026

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. …

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Physics Preprint PDF DOI

All-organic self-separating three-dimensionally nanoarchitected electrochemical energy storage devices

William R. T. Tait, Sriram Murali, Chao-Hua Hsu, Jantakan Nedsaengtip, Christina Lee, R. Paxton Thedford, Vibha Kalra, Joerg G. Werner, Ulrich B. Wiesner · 2026

This work realizes a three-dimensionally (3D) nanoarchitected, all organic, "self-separating" lithium-ion electrochemical energy storage (EES) device that is cycled as a solid-state full cell. The dev…

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