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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 47
Efficient Hybrid Hard--Soft Signal Temporal Logic MPC for Driving under Multimodal Uncertainty
Motion planning for automated vehicles in interactive traffic has to simultaneously ensure safety, respect traffic rules, and maintain comfortable progress under multi-modal behavior uncertainty.Jacobian State Augmented Viable Kinematic Safety Filter
Safety Filters (SF) are leveraged to design certifiably safe controllers, which ensures forward invariance on a defined safe set when the filter is feasible.Physics-guided machine learning for saturation control across variable hydraulic conditions in heap leaching
Heap-leaching hydraulics vary between regions of an ore bed, motivating fast prediction models that accommodate different material properties.Requested, Executed and Recoverable Credit: Shared Action Ordering among LLM Borrowers in a Simulated Lending Market
We test whether shared action ordering changes executed credit in a simulated collateralized lending market.AutoSec-RAN: Specification-Grounded LLM Fine-Tuning for Automated Security Analysis of O-RAN
This paper presents AutoSec-RAN, a specification-grounded large language model (LLM) framework for automated security triage of Open Radio Access Network (O-RAN) testing.Distinguishing Process Change, Instrument Fault and Data-Path Corruption in Streaming Telemetry: A Reference Implementation and Benchmark
A reading departs from what a monitoring system expects for one of three reasons: the physical process changed, the instrument is failing, or the value was corrupted between the instrument and the…Consumption adjustment with mean-reverting risk premia: A singular stochastic control approach
We study a two-sided singular stochastic control problem in which changes in consumption carry utility costs and the risk premium follows the mean-reverting Kim-Omberg model.Tail Instability and Scale Control in Conditional Normalizing Flows for Treasury Yield-Curve Scenarios
A conditional normalizing flow can produce extreme scenarios even when its point forecasts appear reasonable.AnyRank: Reliable Anytime Policy Ranking via Sequential Testing
Due to the high cost of hardware experiments, robot policies are predominantly evaluated by comparing their empirical performance on a limited number of hardware trials.Global Optimality of Pose Graph Optimization
Pose Graph Optimization (PGO) is a classical and widely applied problem in state estimation for robotics, playing a fundamental role in localization, mapping, and navigation.Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid
State-of-the-art beat tracking is based on neural networks that model beats and downbeats as individual events, often followed by a separate Dynamic Bayesian Network (DBN) enforcing musical…Ex Ante and Scenario-Conditional Value of Information in Dynamic Portfolio Choice
Portfolio decisions are often made under uncertainty about expected returns, and investors revise their beliefs as new information arrives.Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
Recent alignment-free Text-to-Speech (TTS) models achieve high synthesis quality by removing explicit alignment modules and simplifying training.Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment
Indoor human perception is the foundation for smart homes and healthcare.Displacement Is Endogenous: AI Workers in a Search-and-Matching Labor Market
We build a labor market in which AI systems enter as workers: they apply for jobs, pass screenings, get hired, and get dismissed, alongside humans.Compositional Average Velocity Modeling for Efficient Diffusion Offline Reinforcement Learning
Diffusion-based policies have recently emerged as a powerful paradigm for offline reinforcement learning, but their reliance on multi-step denoising introduces substantial computational overhead and…Exact Phase-Type Point Processes for Certified Measurement and Prediction of Event Streams
Temporal point processes are used both to measure market mechanisms, for example how fast prices absorb news and how much of the reaction is the market responding to itself, and to predict the next…AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery
Formulaic alpha mining seeks to discover executable expressions that capture predictive market signals in a vast, noisy search space.Too Late to Prune: Generative AI, the Screen, and Team Creative Decisions
Generative AI makes options cheap and shifts the bottleneck of creative work from generating options to screening them.UAV-Mounted Hybrid RIS-Assisted ISAC-RSMA: Performance Analysis with Imperfect CSI and SIC
In integrated sensing and communication (ISAC) systems, strict sensing requirements can substantially constrain the transmit power available for communication.
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