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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 43
E-Backtesting Expected Shortfall without Value-at-Risk Forecasts under Time-series Models
Expected Shortfall (ES) measures the average size of tail losses.ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution
Electrocardiogram (ECG) models need supervision that targets evolving weaknesses and remains faithful to waveform evidence.Structured SDEs for Realized GARCH: Continuous-Time Volatility Modelling and Component-Level Analysis
We propose a structured continuous-time stochastic volatility model for one-day-ahead integrated-variance forecasting.Information-based Unified Design Framework for NMR Magnetic Tracking System
Nuclear magnetic resonance (NMR) magnetic tracking offers a promising alternative to magnetic resonance imaging (MRI)-based localization for medical robotic guidance.On integrability of local utility maximizing strategies
In stochastic control problems involving optimal portfolio choice, one often seeks an optimizer of some local criterion (dynamic programming value function) generated by some global criterion (e.g…Revisiting Error Feedback for Model Quantization
We study causal error-feedback coefficients as design variables for model quantization.Link Both Views: Cross-Image Routing Attention for Dual-Endpoint V2I Beam-Pair Power Prediction
For sensing-aided communications, single-endpoint sensing offers only a partial view of propagation, motivating link-centric sensing across both endpoints.FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection
Wearable fall detection is hampered by rare fall events, scarce labeled IMU data, and the cost of training deep models on large, imbalanced corpora.PING: physics informed graph neural network for advection-diffusion processes with applications to solar power forecasting
Advection-diffusion plays an essential role in transport phenomena such as atmospheric and cloud dynamics.Portfolio Decarbonization under Incomplete Carbon and Transition Information
We study dynamic portfolio decarbonization under incomplete information about firms' carbon intensities and the underlying transition state.Risk Measures for the Climate Transition Age: Why Symmetric Risk Budgets are unlikely to mitigate two-dimensionally asymmetric Climate Change risks
The most widely used investment risk measures - variance, standard deviation, and tracking error - treat upside deviations as equally undesirable as downside losses.Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification
Automated radar waveform recognition classifies the waveform and modulation type of a received signal.Augmenting Real-time Visualization in Minimally Invasive Surgery with Particle Filtering and Depth-Aware Occlusion Handling
We present a real-time, hybrid framework for occlusion handling and depth-aware tracking in minimally invasive surgeries (MIS).How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting
Referees increasingly use large language models (LLMs), while finance and accounting journals disagree about whether to allow it.Simplifying and Improving On-Policy Distillation for Few-Step Diffusion
Few-step distillation reduces the sampling cost of diffusion and flow models, but existing approaches often require auxiliary score models or specialized architectures.Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation.GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition
Multimodal Emotion Recognition (MER) aims to understand human emotions by integrating information from multiple modalities such as speech and text.AgentStripes: An Evidence-Graded Maturity Model for AI Agents
Benchmarks report what an Artificial Intelligence (AI) agent can do on a task suite, but not whether one released version has been engineered with the controls that make it reliable, safe and…Falsification-proof non-market allocation mechanisms
Relying on manipulable characteristics to target the allocation of resources is fraught with difficulties.Model-Based Online Decision Making via Generative Trajectory Planning
Online decision-making faces a tension between efficient inference and long-horizon reasoning.
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