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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 47
Dimension-Free Private Mean Estimation is Impossible Without the Covariance
We study the limits of differentially private Gaussian mean estimation when the covariance matrix is unknown.Amortized Optimization for Calibrating Stochastic Social Simulators
Stochastic simulators need suitable parameter values to reproduce observed behaviour in complex systems.Learning to Track Cells from Sparse Annotations in 3D Time-Lapse Microscopy
Reconstructing cell lineages from 3D time-lapse microscopy requires distinguishing cell motion from division and inferring temporally consistent connections.Dynamic Shape Control of Soft Trunk Robots
Controlling the shape profile of soft trunk robots extends their reach into complex regions of the workspace and enhances their use in practical applications.Deterministic Connectivity Sketches Under Edge Deletions
How much information about a graph is needed to determine its connectivity after arbitrary valid edge deletions?Interactive World Simulation with Cosmos for Physical AI
We present a shared framework that adapts Cosmos world foundation models for real-time interactive world simulation in Physical AI.From Certified Pairs to a Certified Hub: Reasoner-Checked Crosswalks for the Information Exchange Standard
A national digital twin was conceived as an ecosystem of twins connected through mappings to a common foundation, but the roadmap that promises to confirm those mappings are valid never says what…Does Frontier AI Strengthen Cyber Defense? Evidence from Project Glasswing
Defenders and attackers race to find the same software flaws.Noise-regularized training of quantum circuit Born machines under a finite shot budget
Quantum circuit Born machines (QCBMs) can learn distributions that are hard to sample from classically, but their value depends on generalizing from finite training data.Trick-or-Treat: Adversarial Evaluation of Multimodal Medical Reasoning with Synthetic Images
We used medical image synthesis to create a challenging multimodal evaluation framework that exposes hallucination behaviors in frontier models.TestBED: An Open-Source Toolkit for Bayesian Experimental Design
Bayesian experimental design (BED) is a principled framework for intelligent data acquisition with applications across a wide range of scientific and industrial domains.Uncertainty-Driven Efficient Communication for UAV-Based Collaborative Perception
Unmanned aerial vehicle (UAV)-based collaborative perception enables multiple agents to share complementary perceptual information, overcoming limitations such as occlusion and limited sensing range.Human Motion Prediction via Continual Prior Compensation
Human Motion Prediction (HMP) aims to predict future human poses at different moments according to observed past motion sequences.Replicability, Reproducibility, and Robustness in Political and Social Science Research with Large Language Models
This chapter addresses the central reproducibility problem of research with large language models.SCRUB: Contact-Based Surface-Frame Estimation for Force-Motion Control with an Armless Quadruped
Wiping, sanding, and inspection robots press a sliding tool on a surface with controlled force.Dynamical State-Space Diffusion for Spatiotemporal Prediction
Diffusion models for temporal prediction typically corrupt each future frame with independent noise, leaving temporal dependence entirely to the denoiser.Detecting Silent Action-Interface Mismatch with Calibrated Relational World Models
A robot action can satisfy shape and range constraints yet carry the wrong semantics: axes may be permuted, signs inverted, rotations rescaled, or gripper polarity reversed.Compounding Physical RSI: Turning Execution Failure into Inherited Capability
Generalist robot policies are trained on static offline datasets, yet physical manipulation unfolds sequentially across stages.Beyond accuracy: what AI assurance needs to establish in public services
Public bodies increasingly rely on AI-produced evidence, including classifications, summaries and assessments.Approximating #BIS in $\exp(\widetilde O(n^{1/3}))$ Time
We give randomized algorithms for approximately counting and nearly uniformly sampling independent sets in arbitrary bipartite graphs (#BIS).
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