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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 195
Hidden Trajectories Don't Lie: Correcting Corruption Drift for Test-Time Adaptation
Test-time adaptation (TTA) adapts pretrained models to distribution shifts encountered during deployment.Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts
Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for training reasoning models, but its computational cost makes efficient data selection increasingly…Censored Flow Matching for Synthetic Time-to-Event Generation
Generating time-to-event data is increasingly important in survival analysis, but it remains statistically challenging because event times are often censored and thus prevent flexible generative…Preserving Reasoning Diversity in Reinforcement Learning with Verifiable Rewards via Adaptive Replay
Reinforcement Learning with Verifiable Rewards (RLVR) improves the reasoning capabilities of large language models, but often reduces the diversity of their reasoning behaviors.Encoder-Free Multimodal LLMs Learn Implicit Encoders
We empirically analyze two recently proposed encoder-free multimodal LLMs, Gemma-4 12B and Inkling-Small.Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
We aim to design revenue-maximizing single-item auctions that are deterministic, strategy-proof, and ex post individually rational --- the quintessential fundamental model for optimal mechanism…CoCoNet: Convex Conformal Network for Multi-Dimensional Uncertainty Regions
Conformal prediction (CP) provides distribution-free coverage guarantees under exchangeability, but the efficiency of its prediction regions depends critically on the choice of the conformity score.Can This LLM Annotate My Data? Estimating Zero-Shot LLM Performance
Large language models (LLMs) are increasingly used in annotation tasks with varying success.Cortex: A Fixed-Point Theory of Governed Coding Agents - Technical Report
A coding agent combines a large language model (LLM) with a harness that plans, edits, and executes code.Dynamic Neural Optimal Transport for Subset Alignment
We study optimal transport between distributions when only a subset of the target population is relevant to the source.Dataset Inference for Data Provenance and Privacy Auditing in Tabular Foundation Models
Tabular foundation models (TFMs) are increasingly deployed through black-box APIs and trained on large collections of real-world tabular datasets.BanglaShield: A Script-Robust Safety Classifier and Benchmark for Bangla Native, Romanized, and Code-Mixed Prompts
Safety classifiers for large language models (LLMs) are typically built and evaluated on standard-script text, yet Bangla, like many lower-resource languages, is routinely written in native script…An important Bottleneck in LLM Optimizers: Principle-Level Local Optima
Feedback-driven LLM optimizers are increasingly used for evolutionary search, Bayesian optimization, heuristic design, and scientific discovery.Inducing Fourier Geometry: A Smoothness Prior Imposes Approximate Translation Equivariance in Multimodal Stellar Embeddings
Learned representations often contain geometric structure induced by symmetries in the underlying data.Constructive Universal Approximation by Infinite-Dimensional Neural Networks via Gaussian-Weighted Ridgelet Transform
Neural networks whose inputs are functions, as in operator learning, are usually shown to be universal by existence arguments, either by reduction to finite-dimensional networks or by…Predicting CVSS and CWE from CVE Descriptions with Fine-Tuned Small Language Models
Until April 2026, the National Vulnerability Database labeled nearly every published Common Vulnerabilities and Exposures (CVE) entry with a Common Vulnerability Scoring System (CVSS) v3.1 vector, a…Torch-DPhys: A Torch-Native, MOOSE-Compatible Framework for Differentiable Physics Simulation and Hybrid Machine Learning Integration
We present Torch-DPhys, a Torch-native framework implemented in PyTorch for differentiable physics simulation and hybrid physics-machine learning.Muon Operates Beyond the Edge of Stability
We study the Muon optimizer using sharpness and provide the first empirical evidence that the Flat Minima Hypothesis also applies to Muon.Learning Administrative Boundary-Aware Location Encoders via Reverse Geocoding
Location encoders learn compact representations of latitude--longitude coordinates for downstream geospatial prediction tasks.RATION: Towards Quantitative Risk-Based Access Control for AI Agents
AI agents increasingly interact with external environments to complete complex user tasks.