A field on ReadSearch
Computer Science & AI
Much of the new work in computer science and AI appears first as a preprint on arXiv. ReadSearch reads those listings every day, with papers OpenAlex files under the same subjects, and this page shows the newest it has, from machine learning and language to systems, theory and security.
The newest 1,000 papers, from 4 November 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 50
Route First, See Later: Enabling Vision Agents to Reason Scientifically by Separating Routing Policy from Action Spaces
Scientific image-analysis workflows require agents to select among diverse capabilities like description, detection, counting, and segmentation.U.S. State Guidance on AI in K-12 Education: A Comparative Content and Citation Analysis
In the years following the public release of ChatGPT in late 2022, more than half of U.S. states have published formal guidelines around AI usage in K-12 education, creating a record of largely…Rethinking Access Control for AI Agents: Recent Advances and Open Challenges
Large language model agents access data, invoke tools, and act on users' behalf.PyRUA-REAL: Robot Exploration and Adaptive Learning through RSI in the Real World
Coding agents powered by models such as GPT-6-Astra connect spatial reasoning with executable robot behavior, raising the question of how such agents can produce lasting improvements in robot…Benchmarking Fine-Grained Visual Reasoning for Remote Sensing in Urban Management
Fine-grained visual reasoning is essential for remote sensing in urban management, yet remains underexplored in the evaluation of multimodal large language models (MLLMs).Approximation and Hardness for the Data Validation Problem
Finnah, Gönsch and Otto [Eur.Finding full immersions is fixed-parameter tractable in labeled tour graphs
We give an $O_H(n^5)$-time algorithm to test whether an $n$-vertex labeled tour graph has a full immersion isomorphic to a labeled tour graph $H$.WISE: An Agentic Framework for Whole-page Multimodal Search Experience Attribution
Algorithm-driven services, including search, recommendation, and advertising, rely on multi-stage model pipelines.Regularization vs. Convolution in Kernel-Based Hypothesis Testing
The maximum mean discrepancy (MMD) test is a popular nonparametric test on general domains.Semantic Residual Vector Quantization for Sign Language Generation
Sign language generation (SLG) maps written sentences into signing motion while preserving both lexical content and fine-grained articulation.FedFiOT: Fisher-Weighted Optimal Transport for Model Merging in One-Shot and Few-Round Federated Learning
One-shot and few-round federated learning (FL) reduce communication burden by constructing a global model within one or a few communication rounds, but often achieve lower performance than…Fundamental Limits of Coherent Imaging in The Presence of Atmospheric Turbulence
We study the fundamental limits of jointly estimating the signal amplitude and the atmospheric phase distortion in complex-valued multi-look coherent imaging, where the measurements are corrupted by…Go-Go-Go: the game of Go without turns
The study of variants of classic games has a long history, with chess alone inspiring countless variants that have been proposed, analyzed, and studied.Ranking Agreement Does Not Reveal Paragraph-Edit Agreement in Two Released Paper Acceptance Predictors
A fast acceptance classifier could select revisions for a slower evaluator.A Frame-Level View and Image-Quality Annotation Tool for Fetal Echocardiography: Comparison with Spreadsheet Annotation
To develop the Cardiologist Annotation Tool (CAT) for frame-level cardiac view and image-quality annotation in fetal echocardiography and compare it with spreadsheet-based annotation.Transforming Integer Grids to Spatial Intuition: Perception, Not Planning, Governs ARC-AGI-3
Sample-efficient fluid intelligence requires agents that rapidly form working models of unfamiliar interactive environments.VA-TDM: A Unified View for Improving Few-Step Diffusion Models by Velocity Adversarial Distillation
Few-step distillation offers efficient generation with diffusion and flow models, but preserving quality with only a few sampling steps remains challenging.Message-passing graph persistence
Message-passing graph neural networks (GNNs) are limited in expressive power by the one-dimensional Weisfeiler-Leman test.ConDR: Conservative Reachability through Neural Hamilton-Jacobi Subsolutions
Hamilton-Jacobi (HJ) Reachability identifies the unsafe states of a dynamical system from which it can be forced into failure under worst-case disturbance.Task-Efficient Agent Evaluation Using Cached Traces
Efficient benchmarking estimates a system's full benchmark performance from a small number of task executions.
Get the few papers worth your time in Computer Science & AI 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.