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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 138
A Model-Agnostic Correction Framework for Short-Term Building Load Forecasting
Short-term building load forecasting remains challenging because load patterns can change rapidly with weather and operating conditions.Beyond Heuristics and Commercial Navigation: An AI-Augmented Decision-Support for Ambulance Travel Time Estimation
Accurate ambulance travel time estimation is critical for emergency medical dispatch, yet existing decision-support practices often rely on static lookup tables or simplified assumptions regarding…Compatible Likelihoods for Flow Matching on Manifolds
On the simplest non-Euclidean manifold, the 1D flat torus, we exhibit a distribution where a recently proposed extension of Riemannian flow matching is globally optimized by a velocity field that…WADE: An LSTM-Based Anomaly Detection Engine for WebAssembly Applications
WebAssembly (Wasm) enables near-native performance for web applications through a portable and sandboxed execution model.REDAR: Reinforcement-Driven Adaptive Regularisation for Class Incremental Learning
Regularisation-based class-incremental learning (CIL) methods control the stability-plasticity trade-off through fixed coefficients tuned offline, independently of the continual learning objective…TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
In practice, pre- and post-unlearning model snapshots are often maintained for auditing and rollback, introducing a previously overlooked side channel.Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
The achievement of practical fusion energy remains one of the most pressing unsolved scientific challenges, with immense implications for carbon-free power.Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication.Uncertainty Quantification for Financial Foundation Models: A Survey
Financial foundation models increasingly support workflows spanning financial question answering, disclosure analysis, forecasting, and decision-making.A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
We study a jump-modified Wasserstein gradient flow of the squared maximum mean discrepancy generated by the energy kernels $K(z)=-|z|^q$, $0<q<2$, in every dimension $d\ge2$ as well as the…Local and Sparse Kernel Operator Learning for Incompressible Flows: An Operator Lagrange Formulation
We present a local and sparse kernel method for learning the solution operators of incompressible flows.Target Regeneration Shrinks the Gains of Draft-Training Objectives in Speculative Decoding
Speculative decoding accelerates large language models by verifying drafted tokens in parallel.Dissimilarity-Based Markov Decision Processes for Stabilizing State Distributions
Reinforcement learning for stochastic systems typically optimizes expected cumulative rewards, while reliable and repeatable behavior also depends on how the state distribution evolves over time.Better Policies, Worse Verifier Audits
Verifier stacks increasingly sit inside post-training and test-time compute loops.Gate Initialisation versus Recurrent Dropout and Zoneout in Learning Long Dependencies: A Controlled Study of LSTM and GRU Networks on Synthetic Tasks
Dropout and zoneout are routinely added to long short-term memory (LSTM) and gated recurrent unit (GRU) networks, but, to our knowledge, their placements have not been crossed with gate…ART-MPG: Autoregressive R/T Manifold Path Guiding
Specular chains concentrate important transport in small regions of path space and the structure depends on chain topology.Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models
A typed decision maps evidence, a question and a fixed set of options to a probability for every option, computed in one forward pass, by reading a language model's logits or a small head over its…Dynamics of Hidden Learning Structure
A learner's present predictions do not fully determine how it will learn next.OccJEPA: Occlusion as Masking for Amodal Video Segmentation
Amodal video segmentation asks for the complete mask of an object in every frame, including the parts hidden behind other objects.Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
Time series anomalies take diverse forms, and individual detectors encode different anomaly scoring principles that rarely cover all anomaly types.