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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 5
Computing Invariant Reachable Sets through Sum-of-Squares Programming
Funnels, time-varying invariant sets around nominal trajectories, certify that a closed-loop system tracks its plan, and can be composed into verified motion plans.Large Language Models for Forecasting of Electricity Price Spikes
Can market notices read by a large language model (LLM) improve short-horizon electricity price spike forecasts?ReListen: Training-Free Evidence Localization in Hour-Long Audio with Frozen Audio Language Models
Audio language models are meant to answer questions from the audio itself, but an hour-long recording rarely fits in their context, and the answer often depends on a few seconds of it.How market volatility responds to a preceding price trend: a lag-resolved measurement in cryptocurrencies and equities
We quantify the response of market volatility to a preceding price trend as a function of lag at minute resolution.Mutual-Coupling-Aware Joint Precoding and Antenna Positioning for Movable-Antenna MU-MIMO Systems
Movable antennas (MAs) improve wireless communications by adapting antenna positions to the propagation environment.CosmosAlpha: Multi-Relational Graph Search with Pareto-Guided Exploration for LLM-Driven Alpha Mining
Discovering predictive alpha factors from noisy financial data is a fundamental yet challenging problem in quantitative finance.A research world model of power engineering learns its dynamics and reveals what-ifs
Decisions about the direction of research in power engineering determine which technologies mature and, through them, shape infrastructure that lasts decades, yet their consequences cannot be…Directional Statistics in Signal Processing: A Geometry Driven Overview of Models, Learning, and Applications
Many signal-processing objects are defined by periodicity, normalization, sign or global-phase ambiguity, basis invariance, or positive-semidefinite constraints and therefore cannot be modeled…Sparse-View 3D Coronary Reconstruction from Vessel Segmentations Using a Diffusion Prior
Reconstructing three-dimensional (3D) coronary anatomy from sparse angiographic views could support percutaneous coronary intervention, but limited angular coverage and imperfect vessel…Mass Scaling Laws for Energy-Optimal Horizontal Multirotor Flight
Multicopters are a type of aerial robot seeing extensive real-world applications but with range and endurance as critical bottlenecks.Training Specialist LLMs on Your Phone: Forward-Only Optimization via Block-Spectral Coordinates
Large language models (LLMs) on personal devices keep user data local, but limited memory restricts their general capability.Safe Portfolio Learning from Untrusted Predictions: Signed Trust, Abstention, and Cross-Universe Polarity Failure
Portfolio use of machine predictions must often proceed while the predictions' economic direction, reliability, and timing remain untrusted, and while feedback from overlapping multi-period…Modelling lock-in of AI adoption through skill erosion
Generative AI can improve immediate performance but may erode the human skills required for future work.Caging Vision-Language Navigation for Legged Robots via Barrier-Certified Safety Architecture
By harnessing the inherent commonsense capabilities of pretrained Large Language Models (LLMs) and Vision-Language Models (VLMs), current Vision-Language Action(VLA) models for legged robots excel…Can saliency maps flag chest radiograph classifier errors at a new hospital? An external validation study
Saliency maps are offered as a safeguard for medical image classifiers, but whether they reveal individual errors at a new hospital remains largely untested.On Revolutionizing Power Systems: Suitability of Quantum Computing-Ready Pipelines for Stochastic Unit Commitment Optimization
Modern unit commitment (UC) scenarios, particularly those involving uncertainties from demand fluctuations and renewable energy sources, pose significant challenges to traditional optimization…Comparing model representations and fitting methods for port-Hamiltonian system identification
Port-Hamiltonian models describe physical systems by separating stored energy, dissipation and external inputs.On the Learnability of Footwear Robustness: Footstep Recognition Under Unseen Conditions
Footstep patterns, captured using pressure or force-sensitive walkways during natural walking, offer a convenient and passive approach to biometric recognition.Characterizing the vertical continuity of fuel strata based on TLS point clouds Gaussian decomposition and overlap metrics
Vertical forest structure influences fire behavior by regulating understory-to-canopy fuel connectivity, yet operational fuel-type models represent this complexity through discrete classes that only…Label-Preserving Fourier Domain Adaptation with Generative-AI and Real Style Donors for 3D Mitral Valve Segmentation
Accurate segmentation of the mitral valve from three-dimensional transesophageal echocardiography (3D TEE) is severely restricted by the scarcity of publicly available expert- annotated volumetric…
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