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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 20
Risk measures for infinite-server queues driven by a Cox-BESQ process
This paper introduces a model for infinite-server queues driven by a Cox process with stochastic intensity given by a squared Bessel (BESQ) process.Simple Portfolios that Deliver Consistent Decent Returns
Portfolio construction has been studied extensively in both academia and industry.MM-Net: A Multimodal Multi-Task Network for Sleep Staging and Sleep Apnea Assessment After Ischemic Stroke
Automated polysomnography after ischemic stroke is challenging because of altered sleep-related neural activity and concurrent respiratory disturbances.Normalized Cuts and Data Clustering via Matrix Fractional Programming
The normalized cut (NCut) problem is a fundamental one in the area of data clustering.Image Modeling: From Handcrafted Priors to Foundation Image Models
This paper unifies six decades of image modeling, evolving from handcrafted mathematical tractable priors to solve inverse problems in imaging to data-driven deep foundation image models for both…Feedback autocratic strategies in stochastic games
A stochastic game is an optimal control problem for multiple agents in a stochastic environment.From Voiceprints to User Entities: Online Speaker-Memory Construction for Multi-User Spoken Agents
Personalized spoken agents must identify speakers before accessing user-specific memory, yet memory benchmarks typically assume correctly attributed histories.SMEBENCH: Benchmarking Neural Music Editing with Synthetized MIDI Edits
Neural music editing requires a system to perform a requested change while preserving the musical content that should remain unchanged.Neuronal Identity as an Organizational Basis for Analyzing Neural Population Dynamics
Individual neurons exhibit diverse molecular, morphological, and electrophysiological properties that shape their distinct roles in neural circuits.Gradient flow of magnetic inclination and intensity as a GPS-free guidance mechanism
It is well established that some animals, such as sea turtles, sense the Earth's magnetic field and use it as a primary cue for long-distance navigation across the vast and featureless ocean.RAG-CSI: Global Local Retrieval via Joint State and Dynamics Matching for CSI Prediction
Channel state information (CSI) prediction forecasts future channel states from historical observations, supporting transceiver design and resource allocation with reduced measurement overhead.Noise Steering: Exploiting Wake Steering and Acoustic Directivity for Noise-Constrained Wind Farm Control via Reinforcement Learning
Existing noise mitigation strategies for wind farms usually consist in reducing turbines power output, without accounting for the wake interactions between them and the noise emission directivity.Depositing More Should Not Earn Less: Supplier Income Monotonicity and Rate Curve Design in Pooled Lending Markets
In utilization dependent interest rate models, adding liquidity can reduce a supplier's total interest income even as the supplier's balance increases.Developing a Speech Language Model for Basque
Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace.A Deep Learning-Driven Operator Splitting Scheme for Free Boundary Problems: An Application to American Option Pricing in Incomplete Markets
This paper proposes a deep learning-driven operator splitting scheme for high-dimensional free-boundary problems, with American option pricing as a representative application.Algorithmic Monoculture in Machine Learning-based Site-Specific Fertilizer Recommendation
Machine learning recommendations are often evaluated one model at a time, despite deployment across interconnected decision makers.Structure-Actuation Co-Design of All-Electric Heavy-Duty Robotic Manipulators
This paper presents a mixed discrete-continuous multiobjective bilevel framework for the structure-actuation co-design of all-electric heavy-duty robotic manipulators.Quantized Edge Inference of a Self-Supervised SAR-Optical Encoder on Commodity x86 Hardware
Self-supervised vision transformers are increasingly used as reusable encoders for Earth observation, but their inference cost on the hardware available in the field is rarely characterized.An Application of Geometric Riemannian Pricing Algorithm for Valuing Catastrophe Bonds in Incomplete Markets: Market-Consistent Financial Entropy and the Split of Frequency and Severity Risk Premia
This paper presents a framework for pricing catastrophe (CAT) bonds in incomplete markets through Riemannian geometric optimization of financial entropy.A Bi-level Co-design Framework for Lunar Monoped with 2D Jump and Landing Control
Legged robots for lunar exploration must be designed for low gravity, where reduced contact forces and long flight phases make leg morphology and controller choice interdependent.
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