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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 40
MonoLaDN: Language-Guided DeNoising for Monocular 3D Object Detection
Monocular 3D object detection offers a low-cost route to 3D perception, but it remains fundamentally ill-posed, since depth must be inferred from a single view.Clear Human Web: Where a Person Vouches for Every Client
The web cannot tell whether a request comes from a person or from a program.Corridor-Based Monitoring and Emergency Braking Decision for Automated Vehicle Safety
This paper addresses emergency-braking decisions for a redundant safety channel in automated vehicles.The Split Protocol Decides the Result: Re-Evaluating Encrypted Traffic Classification
Encrypted traffic classifiers are routinely reported at 95-99% accuracy.A.S.E 2.0: Understanding How Repository Context Impacts the Security of LLM-Generated Code
Large language model (LLM) coding assistants and agents construct a repository context before generating code.Multi-Resident Data Association in Smart Homes via MDP Modeling and Behavior Cloning
Ambient sensors offer a privacy-preserving solution for activity recognition in smart homes, yet they face a critical challenge in multi-resident environments known as Data Association, which aims…STEK: Structural-Terrain-Enhanced Koopman-Inspired Cross-Channel Regularization for Retrospective Battery Multi-Target Estimation
Retrospective battery characterization across heterogeneous cells is challenging because cycling records vary substantially with chemistry, protocol, cell format, capacity, and operating conditions.Beyond Scene Shortcuts: Action-Centric Video-Text Alignment for Fine-Grained Action Understanding
Fine-grained action understanding requires vision-language models to ground what an agent does, how it acts, and why it acts in spatio-temporal evidence.An Engineering Reading of the Bounded Halting Problem and Observable Properties of a Universal Machine
The halting problem asks whether a program eventually halts, with unrestricted resources.Spatial Path Superposition: A No-Cloning Perspective on MIMO-Inspired Spatial Diversity
Spatial diversity is a key mechanism in classical Multi-Input Multi-Output (MIMO) communications, where multiple propagation alternatives provide redundant observations that improve reliability in…When Does Risk-Controlled Throughput Forecasting Actually Control Risk? A Reproduction Study on LEO Satellite Link
Risk-budgeted throughput forecasting converts a point forecast of LEO satellite capacity into a conservative bound whose overestimation rate is held at a user-specified budget, so that admission…Scale Anchoring via Implicit Semantics and Sequence-Consistent Loop Closure for VGGT-Based SLAM
Feed-forward geometric foundation models enable dense monocular reconstruction without requiring camera calibration, but independently reconstructed submaps can accumulate scale drift, and even a…The Exact Memory-Rate Tradeoff for Three-User Secure Coded Caching
We determine the exact zero-error memory-rate tradeoff for secure coded caching with three users and any number $N\ge2$ of independent files.Conformal Prediction for Distribution-to-Distribution Regression
Conformal Prediction (CP) provides a model-agnostic framework for constructing finite-sample prediction sets with coverage guarantees and has become a tool for reliable decision-making in high-risk…EnzymeRSI: A dual-loop recursive self-improvement system for enzyme design
Improvement in enzyme engineering is usually pursued by optimising which candidates to assay within a fixed model and workflow; when the bottleneck arises from a mismatched method or a failing…Generative Retrieval under Real-Time Supply Constraints in Local Commerce
Generative retrieval predicts semantic identifiers for candidate entities.Mass Producing Training Data with Surprising Side Effects
Training data can have unexpected side effects on language model behavior outside the training domain: insecure code data can induce broad misalignment, and outdated bird names can induce a…EvoCodeAgent: Project-Level Code Generation via Architecture-Code Co-Evolution and Experience-Guided Repair
Project-level code generation aims to automatically synthesize complete software repositories from high-level requirements, producing coherent multi-file systems with well-structured modules and…Learning to Tune with Biased Gradients: Iterative Feedback Tuning of Model-Free Control on Throttle Valves
Iterative feedback tuning (IFT) learns the parameters of a fixed-structure controller by stochastic gradient descent.Improved Exact and Approximate Quantum Fourier Transforms from Multiplication
In the world of quantum computing, quantum Fourier transform (QFT) has been one of the most important subroutines for quantum algorithms, as exemplified by Shor's factoring algorithms and phase…
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