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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 49
ALTO: African and Levantine Tech-Facilitated Gender-Based Violence Corpus
Tech-facilitated gender based violence (TFGBV) is a pervasive online harm affecting women and gender minority groups through its many direct and covert forms.Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice
Responsible AI scholarship has found that ethical principles are frequently not reflected in AI design and development.Where Is VLA Inference Time Spent? Bottlenecks and Optimization Interactions Across GPUs
Vision-language-action (VLA) models map camera observations and language instructions to robot actions.Energy-Guided Transport for Projection-Free Physics-Informed Flow Matching
Deep generative models, particularly Flow Matching frameworks, have emerged as powerful tools for synthesizing complex physical systems.Reasoning over Non-Parametric Memory in Multilingual LLMs: A Cognitive-Based Analysis of Relational Knowledge
Retrieval-augmented generation (RAG) assumes that language models can reason over relations stated in their context rather than fall back on associations memorized during pretraining.Combinatorial Boolean Matrix Multiplication in $n^3 / 2^{Ω(\sqrt{\log n})}$ Time
For over fifty years, combinatorial algorithms for Boolean matrix multiplication (BMM) and triangle detection saved only polylogarithmic factors over cubic time.Symmetry Breaking at the Edge of Stability via Central Flow Analysis
Continuous symmetries in neural networks lead to conserved quantities that are invariant under gradient flow, such as layer balancedness in linear and ReLU networks.Dexterous Robotic Hands in the Foundation-Model Era: A Full-Stack Survey of Hardware, Data, Cross-Embodiment Transfer, Learning, and Evaluation
Dexterous robotic hands are increasingly coupled to large-scale human data and foundation models, yet progress in hardware, representation learning and evaluation is often assessed separately.Airlock: Bounding the Multi-Agent Blast Radius via Selective Online Containment
When multi-agent systems act on the external world, a single agent's faulty output can spread across tasks before detection, creating a system-wide blast radius.Turns Matter: Advancing Streaming Video RL via Turn-Level Credit
Streaming video understanding requires models to repeatedly decide whether to respond or continue observing.Template Gap Reconstruction for Shell Output Simulation with Small Language Models
Small language models offer a compact basis for shell simulation without executing submitted commands, but full-output decoding requires them to predict recurring utility structure alongside content…ConceptARC at Scale: Studying Conceptual Understanding in Reasoning Models
Large reasoning models (LRMs) perform well on challenging benchmarks, yet it remains unclear whether they form generalizable abstractions across conceptually related reasoning tasks.Smartphone-Aided VR Exergames for HIIT: Gamifying Fitness with Real-Time Pose Estimation
This paper introduces an innovative virtual reality (VR) exergame system designed to gamify High-Intensity Interval Training (HIIT) workouts through 11 predefined combo moves, including squat-punch…Coupled Scene Graph Anticipation: When With-Constraint Recall Hides Structural Inconsistency
Scene Graph Anticipation (SGA) predicts object relationships in future video frames.TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing
Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift.Using AI Predictions to Augment Rather Than Replace Surveys
LLMs can predict human survey responses with nontrivial accuracy.Generalized Sorting via Four-Cycles
We study the generalized sorting problem where only a subset of the pairs can be compared.EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models
Generative video models are increasingly used as visual world simulators, yet their primary strength lies in rendering plausible pixels rather than reasoning about how a world should evolve.A Quantum Lower Bound for Triangle Finding
Triangle finding is a fundamental problem in graph theory that has played a central role in the development of quantum algorithmic techniques.Continual Classification Beyond the Kernel Regime: Harnessing the Sparsity Bias of L2 Regularization in Diagonal Linear Networks
We study logistic regression for continual learning with linear predictors in a high-dimensional statistical setting.
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