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Economics & Finance Preprint PDF DOI

Measuring the risk or reducing it, that is the question: is risk measurement necessary for risk reduction?

Pierpaolo Uberti · 2026

In this research, starting from a widely accepted definition of risk, we support the idea that risk reduction is a more realistic objective than risk minimization, which represents a theoretical utopi…

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Physics Preprint PDF DOI

Discrete Lattice Models for Interface Growth on a Complete Graph

J. M. Marcos, J. J. Melendez, R. Cuerno, J. J. Ruiz-Lorenzo · 2026

We investigate the behavior of discrete interface growth models belonging to the Edwards--Wilkinson (EW) and Kardar--Parisi--Zhang (KPZ) universality classes, when defined on a complete graph, a topol…

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AI & Data Science Preprint PDF DOI

Graph World Models: Concepts, Taxonomy, and Future Directions

Jiawei Liu, Senqiao Yang, Mingjun Wang, Yu Wang, Bei Yu · 2026

As one of the mainstream models of artificial intelligence, world models allow agents to learn the representation of the environment for efficient prediction and planning. However, classical world mod…

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AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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AI & Data Science Preprint PDF DOI

Measurement Risk in Supervised Financial NLP: Rubric and Metric Sensitivity on JF-ICR

Sidi Chang, Peiying Zhu, Yuxiao Chen, Rongdong Chai · 2026

As LLMs become credible readers of earnings calls, investor-relations Q\&A, guidance, and disclosure language, supervised financial NLP benchmarks increasingly function as decision evidence for model …

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AI & Data Science Preprint PDF DOI

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents

Mehmet Iscan · 2026

Large language model (LLM)-based coding agents increasingly rely on external memory to reuse prior debugging experience, repair traces, and repository-local operational knowledge. However, retrieved m…

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Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen · 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal pre…

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AI & Data Science Preprint PDF DOI

Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment

Isaac Tettey Adjokatse, Samuel Senyo Koranteng, George Yamoah Afrifa, Theophilus Ansah-Narh, Marcellin Atemkeng, Joseph Bremang Tandoh, Kow Ahor Essel-Yorke, Richmond Opoku-Sarkodie, Rebecca Davis · 2026

Soil contamination by heavy metals poses a persistent environmental and public health concern in rapidly urbanising regions of Ghana, particularly at unregulated waste disposal sites. This study appli…

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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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AI & Data Science Preprint PDF DOI

Pricing Global Macroeconomic Risk in Equity Markets: Evidence from Selected G20 Economies

Vivek Mishra · 2026

This study investigates whether international equity markets systematically price global macroeconomic risks. The empirical analysis is conducted using monthly excess returns for ten G20 countries ove…

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Mathematics Preprint PDF DOI

A note on four dimensional Shrinking Gradient Ricci Solitons with Constant Scalar Curvature

Chen Wang, Guoqiang Wu · 2026

Let $(M^4, g, f)$ be a four-dimensional complete noncompact gradient shrinking Ricci soliton with the equation $Ric+\nabla^2f= \frac{1}{2}g$. If its scalar curvature is $1$, Cheng-Zhou \cite{Cheng-Zho…

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Physics Preprint PDF DOI

Parker Solar Probe Observations of Compound Reconnection Exhaust Boundaries and Mirror-Mode Structures in the Near-Sun Heliospheric Current Sheet

Weijie Sun, Tai Phan, Jia Huang, Yi-Hsin Liu, James A. Slavin, Orlando Romeo, Mingzhe Liu, Vassilis Angelopoulos, Ali Rahmati, Davin Larson, Nehpreet Walia, Stuart Bale, Marc Pulupa, Jiutong Zhao, Roberto Livi · 2026

Magnetic reconnection is a fundamental physical process that can drive rapid conversion of magnetic energy into plasma bulk flows, thermal heating, and particle acceleration in space and astrophysical…

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AI & Data Science Preprint PDF DOI

Spatially-constrained clustering of geospatial features for heat vulnerability assessment of favelas in Rio de Janeiro

Baptiste Clemence, Thomas Hallopeau, Vanderlei Pascoal De Matos, Laurent Demagistri, Joris Guerin · 2026

Informal settlements face disproportionate exposure to climate-related health hazards. However, existing methodologies lack systematic approaches to link diverse settlement characteristics with enviro…

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Economics & Finance Preprint PDF DOI

The Financialization of Proof-of-Stake: Asymptotic Centralization under Exogenous Risk Premiums

Mikhail Perepelitsa · 2026

This paper introduces a heterogeneous macroeconomic model of a Proof-of-Stake (PoS) network to analyze the long-term centralizing effects of external traditional finance (TradFi) yields. We model a co…

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AI & Data Science Preprint PDF DOI

From Prompt Risk to Response Risk: Paired Analysis of Safety Behavior of Large Language Model

Mengya Hu, Qiong Wei, Sandeep Atluri · 2026

Safety evaluations of large language models (LLMs) typically report binary outcomes such as attack success rate, refusal rate, or harmful/not-harmful response classification. While useful, these can h…

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Engineering Preprint PDF DOI

Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles

Aliasghar Arab, Milad Khaleghi, Koorosh Aslansefat · 2026

This paper presents a systematic verification and validation (V\&V) framework for the Evasive Minimum Risk Maneuver (EMRM) feature in autonomous vehicles, addressing a critical gap in existing safety …

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Physics Preprint PDF DOI

Quantum Hall Liquids Coupled to Dynamical Electromagnetism

T. H. Hansson, Qing-Dong Jiang, S. A. Kivelson, Thomas Klein Kvorning · 2026

We investigate the effect on a Quantum Hall (QH) liquid of its coupling to 3+1 dimensional dynamical electromagnetism, which renders the system gapless. We calculate both the Hall and longitudinal res…

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Physics Preprint PDF DOI

Learning Neural Operator Surrogates for the Black Hole Accretion Code

Matthias Nagele, Cedric Bos, Chester Tan, Christian M. Fromm, Ingo Scholtes, Karl Mannheim · 2026

General-relativistic magnetohydrodynamic (GR-MHD) simulations are essential for studying black hole accretion, relativistic jets, and magnetic reconnection, yet their computational cost severely limit…

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Physics Preprint PDF DOI

Restoration of Ensemble Equivalence by Quantum Fluctuations

Alessandro Campa, Andrea Trombettoni · 2026

We study the thermodynamic phase diagram of a one-dimensional quantum spin chain subjected to both mean-field and nearest-neighbor interactions, and to a transverse magnetic field $h$. The purpose is …

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AI & Data Science Preprint PDF DOI

Open Problems in Frontier AI Risk Management

Marta Ziosi, Miro Plueckebaum, Stephen Casper, Henry Papadatos, Ze Shen Chin, Peter Slattery, James Gealy, Tim G. J. Rudner, Brian Tse, Ariel Gil, Patricia Paskov, Maximilian Negele, Rokas Gipiskis, Nada Madkour, Vera Lummis, Rupal Jain, Luise Eder, Kristina Fort, Malou C. van Draanen Glismann, Ines Belhadj, Amin Oueslati, Anna K. Wisakanto, Richard Mallah, Koen Holtman, Ranj Zuhdi, Daniel S. Schiff, Jessica Newman, Malcolm Murray, Robert Trager · 2026

Frontier AI both amplifies existing risks and introduces qualitatively novel challenges. Not only is there a notable lack of stable scientific consensus resulting from the rapid pace of technological …

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