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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 34
When Every Choice Is Correct: A Causal Study of Numerical Preference in Language Models
When a language model chooses a number between 1 and 30, every integer in the range is valid, yet the model can favor particular answers.Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels
There is a fundamental limit to the best prediction error of any model for a given data distribution.The Effectiveness of Sliding Mode Control for Robust Vision Stabilization under the Plant-Binding Condition
Boundary-layer Sliding Mode Control (SMC) has been applied to vision-based stabilization, but identifying its activation condition against simpler causal baselines (LPF, PID) has been elusive.TRACK: Multiple Instance Learning for Anti-Money Laundering in Transaction Networks
Anti-money laundering (AML) investigations are organized around accounts, while the suspicious evidence for an account may reside in only a few of its transactions.Act-HiMotif: Hierarchical Daily Activity Schedule Generation via Learned Activity-Structure Motifs
Generating daily activity schedules from individual attributes (e.g., age and income) is valuable for activity-based travel modeling and human behavior simulation.USI-Brain: Enhancing Underwater Spatial Intelligence via Spatial Data-Driven Vision-Language Modeling
Underwater spatial reasoning depends on object boundaries and geometric cues that are obscured by scattering, color distortion, and low visibility.UniRestorer++: Scalable Universal Image Restoration with Multi-Granularity Degradation Modeling
Universal image restoration aims to handle diverse degradations within a single model, but a reliable scaling strategy remains underexplored.Confucius4-R2T2: A Stable-Prefix Streaming ASR Model for Real Real-Time Transcription
Streaming speech recognition is increasingly consumed by machines, such as translators and voice agents, that act on each token as it appears.Do Search-Augmented Recommenders Use the Latest Search Episode?
Search-augmented recommenders can use the latest search episode and earlier searches.DeepfakeGenome: Toward Next-Generation Deepfake Attribution
In recent years, AIGC technologies are capable of generating hyper-realistic forged facial images, posing severe threats to facial security safety.RI-Prune: Relation and Information Aware Visual Token Pruning for Multi-Image Vision-Language Models
Large vision-language models (LVLMs) have recently been extended to handle multiple input images, but this extension dramatically increases the visual token budget, making visual-token pruning not…SVGFaith: A Two-Layer Meta-Evaluation of Faithfulness Metrics for Text-to-SVG Generation
Text-to-SVG systems are commonly evaluated by applying raster-image metrics to rasterised outputs, yet whether these scores capture fine-grained prompt faithfulness remains unclear.Reglos: A Self-Evolving Personal Memory Agent with Recursive Self-Improvement
Personal agents draw on past conversations to tailor their responses to each user.Impact of Negative Weights on Performance in Reservoir Computing
Reservoir computing provides an efficient framework for time-series prediction because only the readout layer is trained while the recurrent reservoir remains fixed.Alleviating Limited Effectiveness and Multi-Class Collapse in Deep Graph-level Clustering
Given a collection of $N$ graphs, graph-level clustering (GLC) seeks to partition the $N$ graphs into semantically meaningful groups, which serves as a fundamental task in analyzing graph-structured…Softmax Attention with Any Temperature in Fixed Dimension: Matching the Best Known Maximum-Inner-Product Bounds
Attention is central to modern AI models for language, vision, and scientific modeling.Exact Transport-Information Correspondence for Distribution-Adaptive Discretization
Discretization of continuous probability distributions is an operation on the sample space, and the structure induced by this operation cannot generally be determined solely from information geometry.TouchéWorld tech report : Towards Online Unified Camera--Hand Exploration in Generative Worlds
Recent video world models allow users to explore generated environments through camera navigation.Adapting Qwen3 to Tajik from 0.6B to 8B: Lower Text Loss Did Not Mean Better Understanding
Small LoRA adapters trained on Tajik news and books lowered Qwen3's Tajik text loss at every size we tried, from 0.6B to 8B, by 0.60 to 1.45 nats per token, but none of them improved Tajik reading…Learning From Static Context in Federated Time Series Forecasting
Time series forecasting is shifting from locally trained, per-series models to global models trained across many heterogeneous series, which requires learning what sets the series apart.
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