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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 11
MCPHallu: Benchmarking Reasoning, Execution, and Memory Hallucinations in MCP Agents
Large language model agents are increasingly deployed through the Model Context Protocol (MCP), which allows them to discover and invoke tools across multiple servers at runtime.Randomized and Oracle-Based Feasible Directions Methods for Nonsmooth Nonconvex Constrained Optimization
Minimizing nonsmooth nonconvex objectives over general convex sets using no derivatives of the objective, together with structural access to the constraint set, poses a fundamental geometric…Non-Parametric Mutual Information Estimation with Vine Copulas
We introduce VINE: a non-parametric mutual information (MI) estimator based on simplified D-vine copulas.Equivariant Deep Learning in Direct-Product Space for Electronic-Structure Hamiltonian Prediction
Most existing equivariant architectures for Hamiltonian prediction propagate features in direct-sum spaces of irreducible spherical tensors, whereas the target Hamiltonian is naturally an operator…InfMasking: A Unified Variational Framework for Synergistic Multimodal Learning
Multimodal models are expected to exploit synergistic information, that is, information available only when multiple modalities are observed together.FlyingDrones: A Dataset and Benchmark for Optical Flow Estimation from UAV motion
Optical flow is an important cue for drone analysis in aerial surveillance, airspace monitoring, and long-range target tracking, where motion remains informative when appearance is weak.Towards Generalist Graph-Level Anomaly Detection
Graph-level anomaly detection (GLAD) aims to identify graphs that deviate significantly from the majority.CAMP: Context-Aware Mapping and Placement for LLMs on 3D-IMC Arrays
Large Language Models (LLMs) incur severe memory-access overheads due to the cost of loading large weight matrices and key-value (KV) caches.AffineGS: Unlocking Accurate Geometry in 3DGS via Spatially Varying Affine Rectification
3D Gaussian Splatting (3DGS) has become the leading approach for photorealistic novel view synthesis, yet its geometric accuracy lags behind its visual quality.Fast and Accurate Hand Estimation in Pixels, Interaction and World Space
Monocular hand mesh estimators commonly predict rig parameters and project the mesh to obtain 2D keypoints.AffectiveVLA: Safe and Intent-Aware VLA Control for Human-Humanoid Social Interaction
Social touch interactions, such as handshakes, fist bumps, and hugs, require humanoid robots to infer human intent, generate contact-rich motions, and maintain safe physical contact.Selective Event Evidence and Persistent Temporal Priors for Event-Based Point Tracking
Event cameras enable tracking under fast motion and challenging illumination.Pediatric ECG foundation model via adult-to-pediatric fine-tuning: downstream tasks and clinical evaluation
Pediatric electrocardiogram (ECG) interpretation is complicated by age-dependent electrophysiological changes that limit direct transfer of adult AI models.Multimodal Information Interactions Bottleneck for Multimodal Self-Supervised Learning
Multimodal self-supervised learning is challenged by heterogeneity, unequal informativeness, and complex information interactions across multimodal data sources such as images, text, audio, and…Evaluating Language Model Features for Zero-Shot Time-Series Anomaly Detection Under Isolation Assumption
Time-Series Anomaly Detection (TSAD) is a fundamentally challenging task: it is unsupervised, requires high local precision capabilities, and suffers from limited labelled data.Continued Training of Continuous Language Flows with Token Identity Squared Supervision
Diffusion and flow models have recently been extended to language modeling, generating text through continuous denoising in token embedding spaces.Reinforcing What the Student Has Learned: Teacher-Guided On-Policy Distillation
On-policy distillation (OPD) improves language-model reasoning through dense teacher feedback on student-generated responses.We first observe an amplitude disparity in this feedback: on math…Static Recovery Is Not Dynamic Stability: Dynamics-Aware Benchmarking of Protein Motif Scaffolding
Protein motif scaffolding benchmarks assess whether generative models can build scaffolds around functionally important residues.Dual-Arm Tabletop Rearrangement with Movable Stacking and Gap-Aware Push Transfers
Object rearrangement in cluttered tabletop scenes is challenging, especially in wide workspaces where dual-arm systems improve coverage and efficiency.Seeing Beyond the Next Step: World-Model-Guided Human-Like Navigation in Multi-Agent Scenes
Selecting a next motion in a populated scene is not just a matter of avoiding what is currently in the way: an action can be locally feasible yet drift onto the road instead of the crosswalk, cut…
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