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 32
Faster Dynamic Maximal Independent Set against Adaptive Adversaries
We study the fully dynamic maximal independent set (MIS) problem: maintaining an MIS in an undirected graph on $n$ vertices with at most $m$ edges under edge insertions and deletions.LumiTac: Compact, High-Rate Six-Axis Optical Tactile Sensing for Human-Robot Interaction
Integrating six-axis tactile feedback into robotic interfaces requires compact sensors with accurate load measurement and rapid online reconstruction.Deep Meets Classical: A CPU-Efficient Decision-Fusion Model for Automatic Modulation Classification
Automatic modulation classification (AMC) underpins spectrum sensing and non-cooperative signal identification in cognitive radio, yet the two standard CPU-feasible approaches to it, a compact…Reflection-Robust Stereo Visual-Inertial Odometry via Kalman-Filtered Ground-Height Estimation
Visual-inertial odometry relies on visual features that correspond to 3D points with consistent projections across sequential frames.BAM: Bivariate Additive Models for Interpretable Tabular Prediction
Generalized Additive Models with pairwise interactions (GA$^2$Ms) are regarded as glass-box models, since each pairwise shape function can be visualized as a contour plot.Reward Budgeting Reduces Premature Convergence in Reinforcement Learning for LLM Reasoning
RL for LLM reasoning often reaches an early performance plateau as the policy distribution becomes increasingly sharp.FLINT: Coupling Proximal Initialization and Bounded Stochasticity for Flow-Matching Inverse Problems
Flow matching models have emerged as a dominant paradigm for generative posterior sampling in imaging inverse problems.One Basket, Many Experts: Decorrelated Re-ranking for Financial Asset Recommendation
Financial asset recommendation for retail investors is typically optimized for relevance, that is, how well a recommendation matches what each user will buy.Graph-Mediated Large Language Model Systems in the Agentic Era: Reasoning, Knowledge, Retrieval, Execution, and Coordination
Graphs play an increasingly important role in large language model (LLM) systems, supporting structural reasoning, knowledge grounding, retrieval, and memory.Robots in the City: Persona-Based Perceptions of Urban Robots
Pedestrians increasingly encounter robots in urban public spaces without interacting with them, but how robots change the perceived safety of a street remains unclear.Local information processing capacity: anatomy of computation in neuromorphic systems
Many neuromorphic systems possess rich internal computational structures shaped by their physical dynamics.Prior-data fitted networks for variable selection
Prior-data fitted networks (PFNs) have become state-of-the-art for tabular prediction but remain underexplored in other areas of statistics.InterSim: Innovative Intersection Digital Twins for Human-in-the-Loop Driving Simulation
Innovative intersection designs can improve roadway safety and operational efficiency, but their uncommon geometries may create challenges for driver comprehension during early deployment.CLEAR: Color-Texture Latent Alignment for Single Image Reflection Removal
Single Image Reflection Removal (SIRR) seeks to recover the transmitted scene from a photograph captured through glass.Ray-Tracing-Based Dynamic Channel Sounding With Autoregressive Wi-Fi CSI Prediction
Channel sounding in Wi-Fi multiple-input multiple-output (MIMO) systems must balance channel state information (CSI) accuracy against CSI acquisition overhead.PathoS2VD: From 2D Histopathology to Pseudo Z-Stack Representations
For decades, diagnostic pathology has relied on thin two-dimensional (2D) tissue sections, despite biological tissues exhibiting inherently three-dimensional (3D) morphological organization.Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation
Manipulating diverse objects with multi-fingered dexterous hands is challenging due to the high dimensionality and complex dynamics.Single-Variable Connectivity in Random $k$-SAT
We resolve longstanding questions about connectivity, reconstruction,and looseness in random $k$-SAT, for sufficiently large fixed $k$ as the number $n$ of variables tends to infinity…Single-Exponential FPT Algorithms for Minimum Bisection and Matching Cut via a New Unbreakable Decomposition
Minimum Bisection asks whether the vertices of a graph can be partitioned into two parts whose sizes differ by at most one and with at most k edges between the two parts.On the Design of Hyper-Connections: Simplification, Stability, and Scalability
Hyper-Connections (HC) architectures are increasingly adopted in frontier language models, yet their components remain insufficiently understood and introduce non-negligible training overhead.
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.