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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 17
A Behavioural Framework for Predicting and Understanding Loss of Control in Frontier Artificial Intelligence Systems
Frontier artificial intelligence (AI) systems are increasingly operating over longer horizons with diminishing human oversight, raising the risk of loss of control: systems acting beyond effective…Rotation Is Token-Blind: A Structural Criterion for Post-Training Quantization of Feed-Forward Geometry Transformers
Feed-forward 3D models use Transformers to predict camera poses, depth, and structure in one pass, avoiding iterative multi-view optimization.CoRD: Coupled Rollouts Fill the Blind Spot of On-Policy Distillation
On-policy distillation trains a student on its own rollouts, so states the teacher would reach but the student does not are seldom supervised.Bri3D: Bridging the Object-Scene Gap in Single-Image 3D Generation via Scene-Anchor
Generating compositional 3D scenes from a single image requires recovering detailed object geometry and coherent spatial arrangements.TCSExam: Evaluating Frontier LLMs on the Full Range of TCS Research
Can large language models (LLMs) advance theoretical computer science and resolve its long-standing open conjectures?Time-Indexed Skill Success Models for Latency-Aware Skill Selection and Timing in Dynamic Manipulation
Robots that manipulate moving objects act on observations that are outdated when the chosen skill starts, and the best skill can change within a few hundred milliseconds.Reversible Dynamics, Asymmetric Actions: Parking as a Trajectory-Level Affordance
Drivers are often told to back into a tight parking space, not drive in nose first.ArcadeDB in Python: An In-Process Multi-Model Database
Some Python workflows need transactional reads and writes over documents, traversals over a graph, and similarity search over vector embeddings.Tight Asymptotic Bounds on the Maximum Number of Linear Regions of Piecewise-Linear Kolmogorov--Arnold networks
Schoots et al.~\citep{schoots2025relating} (AISTATS 2025) established a generally loose upper bound on the number of linear regions of continuous piecewise-linear (CPWL) Kolmogorov--Arnold networks…QRAE: Query-Relevant Attention Entropy for Context Compression in DeepSearch Agents
DeepSearch LLM agents repeatedly search and carry retrieved sources into subsequent reasoning steps.Stealthy Malicious Interference Detection in UAV Formations: A Power-Domain Signaling Game Approach
Reliable intra-swarm communication is fundamental to cooperative sensing, control, and mission execution in unmanned aerial vehicle (UAV) swarms.Perception Over Geometry: Rethinking Gaussian Allocation in Mesh-based Splatting
3D Gaussian Splatting (3DGS) enables photorealistic novel-view synthesis but lacks explicit topology for geometric editing.Solving Linear Programs in the Matrix Multiplication Time
We give a randomized algorithm for feasible bounded-box linear programs with $n$ variables and $d\le n=O(d)$ linearly independent equality constraints.How Far Can Lightweight LLMs Go in Intent-to-SLO Translation?
Intent-based networking (IBN) promises QoS provisioning in which the network derives the configuration from operator-stated goals.Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
Language-generating AI systems are no longer only objects of linguistic interaction: their outputs increasingly re-enter the communicative and institutional practices from which their training…Compression Through a Context Lens: Evaluating Adaptation, Quantization, and Distillation in Arabic Legal LLMs
Model compression can facilitate the deployment of large language models in resource-constrained legal settings, but its effects on domain-specific performance may depend on the evaluation protocol.Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection
Tiny object detection remains challenging because tiny instances occupy only a few pixels, and their fine-grained details are easily lost during feature downsampling.SEER: A Scalable Event-Driven Runtime for Parallel Execution of Multi-Agent Reinforcement Learning Environments
Multi-agent reinforcement learning (MARL) is increasingly used in systems where many entities interact in a shared environment.Towards Multiscale Molecular Representation Learning through Geometry-Based Fragmentation for Polymer Property Prediction
It is well established that molecular substructures can contribute unequally to chemical and physical properties, with specific motifs or side chains often playing dominant roles.When GeoFMs Meet VHR: Benchmarking Foundation Models on Very High Resolution Earth Observation Imagery
Geospatial foundation models are a widely adopted starting point for remote sensing tasks.
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