A field on ReadSearch
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 12
ECGJev: Question-Conditioned Option Scoring for 12-Lead ECG Interpretation
Clinical interpretation of a 12-lead electrocardiogram (ECG) often requires answering targeted diagnostic questions with clear, quantifiable decisions.Rare Event Constrained Reinforcement Learning with Large Deviations
We study finite-horizon reinforcement learning with a safety constraint on the probability of reaching a failure set.Wideband Microwave Linear Analog Computer (MiLAC) for Frequency-Flat and Frequency-Selective Processing
Microwave linear analog computer (MiLAC) has been proposed as an analog processing architecture to perform efficient computation in the microwave domain.Semantic Interoperability in Federated Digital Twin Systems: A Systematic Review Through the Levels of Conceptual Interoperability Model
When two companies connect their digital twins, software models of their plants kept up to date with live data, each twin must translate the other's data into its own terms, and that translation…Inner-Speech Decoding from EEG Across Three Corpora Under a Fixed Architecture and Protocol
Inner-speech decoding from electroencephalography could support non-invasive communication for people with severe motor impairment, but comparison across studies is hindered by dataset- and…Beyond Binary Detection: Type-Aware Hallucination Analysis and Hierarchical Detection in Financial Question Answering
Large language models are increasingly used to answer questions over financial filings, where an unfaithful answer can mislead investment, compliance, or client decisions.Learning to read residual images for single-pixel photography
Continuous video scales in cost with camera count, resolution and recording duration, yet many monitoring tasks seek events rather than complete images and can operate on a compact single-pixel…Non-Convex Market Makers: Coherence without Convexity, Friction, and Parallel Composition
Cost-function market makers are always assumed convex, and convexity is not what makes them coherent.When Does Spatial Cooperation Help? Contamination Regimes in Decentralized Online Spectrum Anomaly Learning
Learning-based spectrum monitors adapt online to benign propagation changes, but persistent rogue transmissions can gradually become incorporated into the learned background.Non-asymptotic analysis of SGLD with discontinuous stochastic gradients: a new route to portfolio CVaR minimization
Conditional-Value-at-Risk (CVaR) optimization is a fundamental tool in portfolio selection, yet its nonsmooth loss structure poses a challenge for the existing theory of stochastic gradient methods…From Confounding to Counterfactuals: A Cross-Layer Causal Model for RAN Scheduling
Data-driven control in radio access networks (RANs) selects resource allocations using associations between control actions and key performance indicators (KPIs) learned from network telemetry.Spatial DJ: Spatial Audio Control for Arbitrary Loudspeaker Layouts
Object-based spatial audio promises render-anywhere playback, yet deploying it in a new venue still requires two tasks that are rarely addressed together: acquiring the physical loudspeaker geometry…Designing Behavioral Profiles for Language Model Simulation of Out-of-Distribution Human Behavior
Large language models (LLMs) are increasingly used to simulate human behavior, but which descriptions of people improve prediction when experimental designs change remains unclear.Learning Timeline-Preserving Speech-to-Speech Translation
Speech-to-speech translation (S2ST) increasingly preserves what is said and how it sounds, but not necessarily when speech and silence occur.Spatial Token Interleaving and Two-Pass BP Decoding for Semantic Image Transmission
Semantic error control coding (SECC) can correct the residual errors of a standard channel code with a foundation model that supplies a prior on the source content, but existing SECC schemes are…Vision-based Sensing of Urban Environment using Hardware-Software co-design at Scale
Urban environmental monitoring is crucial for climate-adaptive cities, yet current approaches rely heavily on human inspection, overhead remote sensing, or limited terrestrial RGB imagery, thereby…Optimal portfolio and consumption under no-shorting constraints: The exploratory formulation and reinforcement learning
We develop a reinforcement-learning framework for the continuous-time optimal portfolio-consumption via utility maximization under no-shorting portfolio constraints.Estimating Average Treatment Effects with Projected Instrumental Variables
In this paper, we develop a projected instrumental variable framework that relaxes conventional assumptions for causal identification with instrumental variables.Learning hidden-state dynamics from unpaired snapshots with lift-project SDEs
Many systems are observed only through unpaired snapshots, with population samples available at each time point but no correspondence between samples at different times.ResMamba: A Dual-Path Convolution-Mamba Model for Music Genre Classification
Music genre classification remains a fundamental yet challenging task in music information retrieval, requiring models that capture local time--frequency patterns and long-range temporal dependencies.
Get the few papers worth your time in Interdisciplinary & Society every morning.
Choose your topics and ReadSearch reads the new papers in them each day, then brings you the few worth reading, each with its key finding in a sentence.