A field on ReadSearch
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 33
Quantum Key Exchange from Public Quantum Money
Two-message quantum key exchange (2QKE) cannot be realized in a statistically secure way, and therefore some computational assumptions are required.A Comparative Study of Importance Attribution to Columns in Deep Learning over Relational Databases
Deep learning over relational databases has led to increasingly effective prediction models, motivating a growing need to explain their behavior.A Controlled Experimental Evaluation of Configuration and Cache Architecture in LLM Serving Engines
Multi-agent LLM applications repeat most of their prompt tokens across requests, and serving engines reuse the cached state of shared prefixes. vLLM and SGLang reuse it at different granularities…Clips2Story: Training-Free Video Storyboarding and Editing Using Multimodal Retrieval-Embedded Generation
Video editors often work with large collections of fragmented footage and must select and organize relevant clips into a coherent story.Decouple to Reuse: Fine-Grained Knowledge Augmentation for Time Series Foundation Models
Time series forecasting is critical for demand prediction and resource management in modern Web services, yet applying pretrained Time Series Foundation Models (TSFMs) to downstream tasks remains…FedIA: Instance-Aware Cross-Modal Representations for Federated Prompt Learning
Federated Prompt Learning (FPL) enables parameter-efficient adaptation of pre-trained Vision-Language Models across decentralized clients without exchanging raw data.From Waste to Discovery: Recycling High-Scored Unexposed Candidates in Taobao Feed Recommendation
Helping users discover new interests is vital to the long-term health of industrial recommender systems, yet the usual remedy, boosting exposure of under-explored (discovery) content, often…Intra-Architecture Source Attribution for Stable Diffusion: A New Task with Benchmark Dataset and Baseline
Designing systems that attribute a generated image to its source model has lately become a major area of AI research.How Far Can You Steer? Behavior-Capability Frontiers in Contrastive Activation Addition
Activation steering can modify language-model behavior without parameter updates, but behavioral efficacy alone does not determine whether an intervention is usable.How Unbalanced Must a Latin Rectangle Be?
We view a $k\times n$ Latin rectangle as $n$ points in the grid $[n]^k$.Familiar letters, not related languages, let unseen languages into a shared space of meaning
Hundreds of languages have written text but almost no translations, and whether a model learning one from untranslated text builds on a related language or familiar letters is unclear: they usually…MotoVerse: A Benchmark for Predictive Perception of Motorized Two-Wheelers in Dense Unstructured Traffic
Motorized Two-Wheelers (MTWs) dominate personal transport across much of the Global South, yet remain largely overlooked in predictive perception research for autonomous driving and ADAS.Faster Cluster Decomposition with Stronger Bi-Criteria Guarantee
Partitioning the vertex set of a graph $G=(V,E)$ into clusters is a classical problem in computer science.Holistic Parallel Supervision for Expressive Speech to Speech Translation
Expressiveness is central to speech-to-speech translation (S2ST), yet existing datasets rarely align source and target speech jointly in content, prosody, timing, and speaker identity.When Does a Cross-Device Run Justify PASS? Obligation-Level Evidence Qualification under Partial Observability
A cross-device test can complete every command yet judge a business claim from evidence belonging to another device or attempt.ChanSFormer: A Channel Agnostic Vision Transformer for Multi-Channel Cell Painting Images
High-content multi-channel imaging, from Cell Painting assays to remote sensing, is central to modern scientific pipelines.METRIC-GS: Selective Metric-Scale Estimation for 3D Gaussian Splatting
A 3D Gaussian Splatting (3DGS) reconstruction inherits arbitrary units from structure-from-motion, so it cannot be measured or used to place AR content until someone supplies a scale.Attraction-Ranking Mismatch in Out-of-Distribution Detection: Theory and Evidence from Hamiltonian Feature Dynamics
Attracting features toward learned in-distribution (ID) regions is an intuitive strategy for out-of-distribution (OOD) detection, but does such attraction improve detection?Who Pays for the Knowledge Models Copy? Model Collapse as Rogers' Paradox
Generative models trained on the output of earlier models lose knowledge across generations, rare knowledge first.Optimal LCA and Sublinear Estimation for Bipartite Matching in $Δ^{O(1/\varepsilon)}$ Queries
A local computation algorithm (LCA) for matching answers ``who is the mate of $v$?'' by inspecting only a small part of the graph, with all answers consistent with one matching.
Get the few papers worth your time in Computer Science & AI every morning.
Choose your topics and ReadSearch reads the new papers in them each day, then brings you the few worth reading, each with its key finding in a sentence.