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Interdisciplinary & Society
Economics, finance, engineering and the social sciences share preprints on arXiv, and papers in chemistry and the earth sciences reach ReadSearch through OpenAlex. This page shows the newest papers ReadSearch has read in them.
The newest 1,000 papers, from 8 October 2026 to 5 November 2026: 997 arXiv preprints and 3 OpenAlex records.
Newest papers, page 11
Worst-User Outage Probability Minimization in Active RIS-Aided Systems
In this paper, a worst-user outage probability minimization problem in active reconfigurable intelligent surface (RIS)-aided systems is addressed.AIDA: An AI Outage Registry with Evidence from On-Chain MEV
Generative AI coding tools have lowered the cost of writing trading software, but no systematic dataset records when these services fail.Wave Physics as Representation: Tensor-Structured Neural Reconstruction for Ocean Acoustic Fields
Reconstructing three-dimensional (3D) complex ocean acoustic fields from sparse measurements is challenging due to highly oscillatory wave structures and restricted sensing patterns/routes.Assessing Temporal Dispersion of Time-Varying Channel at 38 GHz for Different Reference Signals
This paper investigates the influence of reference waveform selection on temporal dispersion estimation in a time-varying radio channel at 38 GHz.Direct Covariance-to-Beamformer Mapping for Low-Latency Hybrid ISAC Beamforming with Subsequent DoA Estimation
Integrated sensing and communication (ISAC) systems typically employ a two-stage beamforming pipeline, in which target directions are first estimated from the received covariance matrix and then…A sensor-driven physics-informed neural network for real-time occupant-centric space heating control
Conventional space heating systems typically rely on single or sparse fixed-point temperature measurements, overlooking non-uniform indoor temperature distributions, transient thermal dynamics, and…A Deep Reinforcement Learning Framework for Real-Time Electric Vehicle Charging Management in IoEV-Enabled Smart Cities
The rapid growth of electric vehicles (EVs) in urban environments demands intelligent, decentralised charging management strategies that operate under strict real-time constraints.Learning AI Agents, Market Makers, and Stress in Automated Markets
Automated markets increasingly route order flow from learning trading agents through automated market makers (AMMs).Domain-Aware Hierarchical Federated Learning for UAV Swarms Across Heterogeneous Environments
Hierarchical federated learning (HFL) enables communication-efficient training in unmanned aerial vehicle (UAV) swarms, but performance degrades under changing and heterogeneous environments.MEX: The Musical Expectation Benchmark Suite
We propose the Musical Expectation (MEX) benchmark suite for perceptually validating computational models of musical expectation, i.e., models that estimate music information dynamics (MID) measures…FADE: A Flow-Based Approach for Multichannel Tail Estimation
Ultra-Reliable Low-Latency Communication (URLLC) is vulnerable to rare low-received-power events, and the spatial-diversity benefits of multiple receivers can be significantly reduced when they…Long-term yields of short-rate models as Feynman-Kac ground states: a variational quantum eigensolver with single-setting energy estimation on two NISQ platforms
We show that the long-term yield of a short-rate model is the ground-state energy of a Schrodinger operator obtained from the Feynman-Kac bond-pricing equation, so that it can be computed by a…Ray-Tracing-Parameter-Based Lightweight Hybrid Precoding via Cascade XGBoost for Wideband Massive MIMO-OFDM Systems
Hybrid precoding reduces the radio-frequency (RF) hardware burden in wideband massive MIMO-OFDM systems, but conventional optimization and deep neural network (DNN)-based approaches can incur high…Green Learning-Based Signal-Level Detection of RIS Spoofing Attacks in Vehicular ISAC Systems
Integrated sensing and communication (ISAC) enables wireless infrastructure to jointly support communication and environmental sensing, but also introduces new physical-layer security threats.The Laplace transform of the time of ruin in the Cramér--Lundberg model with Erlang $E_2(μ)$ claims: spectrum, exact moments and matrix reduction
We study the Laplace transform of the time of ruin in the classical Cramér--Lundberg model with claims having an Erlang distribution of shape parameter 2.Reduction of the integro-differential equation to an ordinary differential equation in ruin models with investment in a risky asset
We study ruin models with the surplus invested in a risky asset and Erlang-distributed claims: non-life insurance, annuity payments and the mixed model.AgenticMobility: An Open-Source Platform for Multi-AI-Agent Mobility Dynamics
Understanding mobility dynamics and the effects of urban transportation management policies requires examining how individual travel decisions, traffic conditions, and policy interventions influence…Event-Based Optical Flow Constraint via Time-Sliced Plane Fitting
Event-based optical flow estimation using spatiotemporal planar approximation inherently assumes constant velocity and tends to average out temporal velocity variations.Cross-Dataset Generalization of Glaucoma Detection CNNs: Effects of Operating Threshold, Multi-Source Training, and Color Normalization
Deep learning models for glaucoma detection are usually tested on images from the same dataset used for training.How Green Is Your Manifesto? Scoring Environmental Positions in the 2024 EU Elections with an LLM Panel
Locating political parties on environmental and climate policy is central to the study of party competition, yet the established instruments, expert surveys and the hand coding of manifestos, are…
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