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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 26
Conformal Prediction for Time-Dependent PDEs
Uncertainty quantification is crucial in scientific machine learning, where models inform safety-critical tasks such as flood forecasting, financial risk management, and thermal control in machines.The Gold Rush in AI4Math, II: What are signatures of AI-assisted Proofs?
The growing use of AI in mathematics raises a question: can we detect AI involvement in proofs, separately from AI assistance with writing?T3R: Training-Free Two-Stage Token Refinement Towards Efficient and Robust VLA Models
Vision-Language-Action (VLA) models enable end-to-end robot control, but inference is increasingly expensive.Spectral and Subspace Dynamics of LoRA in Supervised Fine-Tuning and Reinforcement Learning
Low-rank adaptation (LoRA) is commonly used in both supervised fine-tuning (SFT) and reinforcement learning (RL), often under similar optimizer settings.Low-Temperature Sampling via Equilibrium Disagreements
We develop a new framework for sampling at low temperatures using Glauber dynamics.Benchmarks as Software: Terminal-Bench and the Case for Continuous Benchmarks
Coding agents are among the most economically consequential deployments of LLMs to date, making reliable evaluation increasingly important.On the limitations of molecular representations
Molecular representations such as fingerprints and learned embeddings play a central role in cheminformatics and small-molecule machine learning.Data-driven discovery of intrinsic Lie point symmetries of differential equation systems
Discovering continuous symmetries directly from differential-equation data can reveal geometric structure for model reduction and scientific machine learning without symbolic determining equations…Failure Prediction and Classification in Vision-Language-Action Models Via Calibrated Latent Probing
Vision-Language-Action models (VLAs) enable general-purpose embodied intelligence, but their performance is brittle under distribution shift, where unanticipated failures can damage equipment or…Dynamics Aware Past-Future Information Bottleneck
The simplification of complex dynamical systems is essential for efficient estimation and control.The Power of Meta Access in the Software of the Future --- Demonstrated on LLM Chat UIs and Chat AI
Chat remains the default surface for many large language model (LLM) tasks, even as agentic tools such as OpenCode excel at coding and automation.Scaffolding GenAI Use in Ethical Essay Writing: A Three-Year Experience Report in Introductory Computing
As society, ethics, and professional practice become increasingly integrated across the computer science curriculum, technical courses need practical ways to support ethical reasoning.MedGraph: Maintaining Patient State with Graph Memory for Long-Term Medical Dialogue
LLM-based medical assistants that follow a patient across visits need a memory that keeps the patient's clinical state correct as it changes.SM4RT: Cascaded Feed-forward Model for 4D Reconstruction
We introduce SM4RT, a multi-task cascade feed-forward model for dynamic scene reconstruction from RGB videos.Understanding AI from the Inside: The State of Mechanistic Interpretability for AI Safety
Neural networks are likely to be among the most consequential artefacts in human history.Label-Wording Augmentation in a Typed-Decision Encoder: Gains on Unfamiliar Words, Not on Abbreviations or Codes
Typed-decision models score options that the caller supplies at request time, so their accuracy depends on label wording that the model's developer does not control.Edge-Assisted Crowdsensing for Explainable Cyclist Safety Perception
Cyclist fatality rates remain high despite policy support for active travel, and autonomous vehicles add complexity to mixed traffic.SoK: Post-Quantum Cryptography (PQC) Integration in Software Development: Approaches, Gaps, and Future Directions
Standardised post-quantum cryptography (PQC) is critical for protecting software systems against future quantum threats, but standardised algorithms alone do not provide a pathway for their secure…Souffleur: A Glanceable Display for Mobile Voice Conversations
The speech capabilities of mobile devices have grown, but their displays still rely on a text-based chat.Polynomial-time classical simulation of boson and fermion sampling under thermal loss
Sampling experiments are a leading approach to demonstrating quantum computational advantage, yet their robustness to experimental noise is not completely understood.
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