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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 10
Measuring Model-Specific Alignment Drift in LLM-Based Opinion Dynamics
Large language model (LLM) agents are increasingly used as synthetic participants in opinion-dynamics experiments, often assuming that an agent's behaviour is fully determined by its prompt.Thinking Fast, Trading Late: System One Decision Models vs the Market
Large language models (LLMs) read company news at scale, and backtests suggest that their readings predict stock returns.When Music Needs Meaning: Semantic Communication as a Transformative Enabler for the Musical Metaverse
The Musical Metaverse (MM) enables geographically distributed musicians, audiences, sound engineers, and AI agents to interact through synchronized audio, visual, kinematic, and haptic streams…Measure Before You Repair: An Explainable Agent for Blind Restoration of Multi-Artifact 3-D MRI
A brain MRI scan can carry an unknown mix of artifacts, so restoration has to be blind, yet most deep-learning methods are built to correct one known artifact.Evaluating the Impact of Nonlinear Registration on Longitudinal PET Analysis in a Rodent Stroke Model
Longitudinal rodent positron emission tomography (PET) studies of stroke and neuromodulation rely on accurate registration to a common atlas space to detect group-level effects.Physics-Informed Identification of Tensegrity Prestress across Taut-Slack Transitions
Prestress governs the stability, stiffness, and dynamic behavior of tensegrity structures, but it is not directly observable from sparse structural measurements, and it may decrease during service…Robust distortion riskmetrics over Bregman--Wasserstein balls and their intersections
We study the worst-case values of distortion riskmetrics over Bregman--Wasserstein balls around a reference distribution.DUNEDepth: Bronchoscopic Depth and Pose Estimation via Hybrid Adaptation of a 3D-Vision Foundation Model
State-of-the-art bronchoscopy guidance systems and computer-aided diagnosis methods have emerged as important tools for early lung cancer detection.PanelGP: A Probabilistic Factor Model for Asset-Return Panels
We develop PanelGP, a conditional factor model for large panels of stock returns in which firm characteristics determine the factor loadings and economic conditions determine the expected factors.Are LLM Research Agents Reliable Judges of Predictability? Evidence from Planted-Signal Worlds
Researchers ask large language model (LLM) research agents whether a forecasting model beats a static benchmark, a verdict that real data cannot check.Uncertainty-Aware Joint Generative Modeling of Fault Event Sequences and Sensor Time Series in Solar PV Plants
This paper presents a multimodal generative model designed to simulate a solar energy plant system for predictive maintenance and fault prediction.Dual Path Following for an Aerial Manipulator Under State and Input Constraints via Transverse Feedback Linearization
This paper studies dual path following for a quadrotor carrying a three-degree-of-freedom arm.Spectral-Convolutional Factorized Transformer for Joint Multipath Parameter Estimation: Applications to mmWave Positioning and Radio SLAM
Future 6G wireless networks are expected to evolve toward AI-native systems that support intelligent, environment-aware services, including positioning and mapping.OpenULF: A Modular Toolkit Enables Data-Driven Ultra-Low-Field MRI with both Classical and Quantum Sensors
Ultra-low-field (ULF) Magnetic Resonance Imaging (MRI) offers a portable, low-cost alternative to conventional scanners by operating at field strengths below 10 mT.AI-Aided and AI-Oriented Integrated Sensing, Communication, and Computation: A Survey
The evolution from 5G to 6G networks marks a transition toward the "intelligence of everything.Learning Gradients of Homogeneous Functions
Homogeneous gradient functions have widespread significance, including applications in maximum energy subspace selection and retrieval problems.Task-driven sparse-view planar X-ray computed tomography for axial metrology
Computational imaging can reduce the acquisition burden when the system is designed around task-relevant information rather than complete image recovery.Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems
This paper investigates secrecy sum-rate (SSR) maximization in a downlink rate-splitting multiple access (RSMA)-enabled single-waveguide pinching-antenna system (PASS) with an external eavesdropper.6G Uplink Waveform and Rank Selection under Distributed Reception
The development of 6G uplink is expanding waveform and spatial transmission options, while distributed reception makes their relative merits depend on the spatial and frequency structure of the…Local or Escalate? Post-Training Expert Routing for Real-Time Duplex Speech Models
A full-duplex model should answer easy questions immediately, but hard questions often need stronger reasoning, which may require waiting.
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