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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 20
H-BRICK: Hierarchical Boundary Reachability Index with Compressed Kleene Closure for Directed Grid Graphs
Repeated directed reachability queries arise in online path planning, task-agent allocation, and swarm control on static grid maps, where reachability is asymmetric and full transitive closure is…ProtoGestalt: Interpretable Prototypes for Facial Phenotyping and Diagnosis of Rare Genetic Disorders
Rare genetic disorders are difficult to diagnose due to their diversity and overlapping clinical features.FreeOcc: Decoupling Ego-Motion for Efficient 4D Occupancy Forecasting via Continuous Flow Matching
Current 4D occupancy world models use heavy cross-attention or deep recurrence to disentangle ego-motion from scene dynamics.Between Hi-Fi and MMI: the overlap of redundancy and synergy in partial information decomposition
Partial information decomposition (PID) splits the information that two sources carry about a target into redundant, unique and synergistic parts, with nonnegative decompositions lying on a segment…Drift-Resilient Predictive Interference Management: Online Adaptation of an Extreme-Value Predictor
Predictive interference management supports ultra-reliable low-latency communication (URLLC) by allocating finite-blocklength resources against a high conditional quantile of next-slot interference.Beyond K/V Caches: Cross-Model State Handoff in Hybrid Linear-Attention LLMs
Production deployments often use different models to balance cost and quality through cascading, routing, and switching models during long conversations.Who Can Evaluate AI Independently? A Framework for Analysing Evaluation Infrastructure
AI evaluation is increasingly central to AI safety and governance, yet taking part in an evaluation does not by itself confer authority over its design, its execution or the resources it depends on.How Far Can Untrained Neural Networks Go in Anomaly Detection? From Tables to Pixels
Anomaly detection (AD) is often framed as a representation-learning problem, where strong performance is expected to require learned features or AD-specific optimization.Describe Your Facial Expressions by Linking Image Encoders and Large Language Models
This paper presents a novel task of describing human facial expressions of a facial image in natural language, which captures the nuances of facial actions and emotional states beyond traditional…H-TRIP: Exact Many-to-Many Distance Index for Multi-Robot Exploration
Frontier-based exploration systems repeatedly evaluate geodesic travel costs between robot poses and candidate viewpoints, and tour-based planners consume the full pairwise distance matrix built…Fault-Guided Cross-Layer Prediction for Unsupervised Anomaly Detection
Feature reconstruction is widely used for unsupervised industrial anomaly detection in the single-class setting, where only normal images from one product category are available for training.Educational robotics beyond ROS: a custom library for direct transfer of Webots controllers in the Turtlebot3
Robot Operating System (ROS) is becoming a standard in robotics courses at higher education, but its installation, configuration and distributed programming model can introduce a significant entry…First-Order Model Checking on Monadically Dependent Graph Classes
Monadically dependent graph classes are those in which first-order logic cannot encode all graphs.Detecting Silent Faults at the Environment-Trainer Boundary in Reinforcement Learning
Robot reinforcement learning increasingly runs environments outside the trainer: in another process, on another machine, in another language.MCUFlowNet: Hardware-Aware Neural Architecture Search for Optical Flow on Microcontrollers
Dense optical flow allows small drones to avoid obstacles.Detecting Weather Fronts from Satellite Observations: What Does Reanalysis Add?
Weather fronts are transition regions between air masses with contrasting thermodynamic properties and are associated with mid-latitude precipitation and severe weather.A Generative Foundation Model for Multimodal Tokamak Tasks
Tokamak experiments record diverse measurements, including waveforms, profiles, fields, and scalars, which are used to reconstruct the plasma, forecast its evolution, recover associated control…Interpretable Multimodal MRI-Clinical Fusion for Functional Outcome Prediction After Acute Ischemic Stroke
This study evaluates the added prognostic value of day-1 multimodal MRI for predicting three-month functional outcome after acute ischemic stroke (AIS).AI-Native Task-Oriented Semantic Communications over a Relay: Benefits and Vulnerabilities
Semantic communication (SemCom) using a relay node is considered, where the relay assists in conveying task-relevant information from a source to a destination, with meaning defined by…La-JEPA: Compact Robot Policies with Latent World Modeling
World-action models adapt pretrained video generators, and vision-language-action models build on pretrained vision-language backbones; both tie policy architecture and inference cost to large…
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