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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 172
Meta-iLaD: Identifiable Latent Dynamics via Meta-Learning of Dynamics Environments
Learning latent dynamics is central to assessing the current states and forecasting the future trajectories of high-dimensional time series.On the Fragility of Tasks under Composition: Implicit Budgeting in Language Models
Modern language models are increasingly asked to handle several tasks within a single prompt.Low Residuals, Wrong Value: Learning the Viscosity Solution of Hamilton-Jacobi-Isaacs Equations with PINNs
Physics-informed neural networks (PINNs) and other residual-trained solvers judge a candidate solution by the size of its sampled PDE residual.Diffusion Score Estimation with Shallow Neural Networks: Regularity, Approximation, and Finite-Sample Rates
We study the sample complexity of estimating Ornstein--Uhlenbeck diffusion scores in $\mathbb R^d$ using denoising score matching (DSM) with finite-width shallow ReLU networks, and its implications…You Are the Trigger: Speaker-Activated Backdoors
Speech models are increasingly used as an interface to AI systems, from transcription tools to voice agents.A Theoretical Analysis of Environment-Aware Out-of-Distribution Detection for Vision-Language Models
Continual vision-language models (VLMs) encounter a stream of environments and must also reject inputs that do not belong to the environment at hand.Deep catastrophic-risk-aware reinforcement learning
Estimating extreme risk in reinforcement learning becomes increasingly difficult as the confidence level increases, since only a small number of observations contribute to empirical estimates of…Neighborhood-Aware Unlearning for Generative Recommendation
Generative recommendation predicts items by autoregressively generating semantic identifiers (SIDs), whose tokens are shared across semantically related items.TxnQA: Benchmarking Analytical Reasoning and Evidence Grounding over Transaction Event Sequences
Analyzing merchant transaction histories requires dynamic temporal filtering, entity resolution, and aggregation over irregular event streams--operations poorly captured by static tabular or…Guided Diffusion for Trustworthy Synthetic Text Generation
The rapid evolution of Large Language Models is fueled by massive datasets, yet this reliance poses severe privacy risks, as models can inadvertently memorize and even directly output sensitive…Solving the Ho--Nguyen Conjecture for Gaussian Mixtures: Applications to Mixtures of Experts
Over-fitted Gaussian mixtures can contain many parameter configurations with nearly the same density, making the order of density cancellation central to their parameter-learning rates.Auditing Safety Preference Supervision with Recorded Derivations
Preference labels align model training, but the judgments behind them are difficult to inspect or verify.What Would Removing This Corruption Change? Failure Attribution for Vision-Language-Action Models
Vision-language-action (VLA) models are sensitive to visual corruptions, but knowing that a corruption is typically harmful does not establish whether removing it would benefit the current episode.A latent control model for realistic rodent motion
The development of embodied models of animal behavior is a major goal of the neuro-AI community.VPFlow: Value-Predictive Planning with Imperfect World Models for Offline Goal Reaching
Offline goal-conditioned reinforcement learning enables skill acquisition by reaching any goal from any state without dense rewards.TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation
Test-case generation is critical but remains challenging for language models.Global Security Blind Spots: Translation as a Safety Bypass in Low-Resource Languages
Large language models are deployed globally, yet safety alignment and evaluation remain concentrated in English: harmful requests refused in English can elicit unsafe completions when translated…What Not to Erase: Saliency-Constrained Augmentation for Low-Resource Handwritten Character Recognition
Optical Character Recognition (OCR) and handwritten character recognition (HCR) in low-resource historical material collections often rely on data augmentation, yet augmentation strategies are…Machine-learned spectral PDE solvers for fluids and plasmas
Sparse regression methods for discovering governing partial differential equations (PDEs) from data are sensitive to observation noise and are not constrained to reproduce the data under forward…Physics-Inspired Optimizers beyond the Edge of Stability: Period-Two Orbits and Delayed Instability
Gradient descent with momentum can be viewed as a particle moving with friction in the loss landscape.