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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 36
SWEOps-Bench: Evaluating Agents for End-to-End Resolution of Software-Induced Cloud Incidents
As autonomous agents advance, the traditional boundary between software development and cloud operations gradually blurs, increasing the need for integrated incident detection, localization, and…Reconciling Privacy with Provenance for Language Model Watermarks
Watermarking has great potential for regulating the use of language models (LMs), but its deployment has been marred by controversy, as many users argue that fine-grained tracking of LM usage…XuanJian-DINOSAR: A SAR Foundation Model Based on Global and Local Semantic Consistency
Self-supervised pre-training on synthetic aperture radar (SAR) imagery enables transferable representations, but the optical-SAR domain gap and speckle perturbations limit representation stability.Learning When to Think Aloud in Latent Reasoning
Latent Chain-of-Thought (CoT) reasoning improves efficiency by shifting intermediate computation into continuous hidden states.Beyond Risk Cues: A Mechanism-Level Benchmark and Verifiable Debate for Scam Video Detection on the Web
Online scam videos pose significant threats to individuals and society.Semantic Prior-Guided Incomplete Cross-Modal Retrieval with Noisy Labels
Cross-modal retrieval (CMR) aims to bridge the semantic gaps between modalities by learning shared representations.The Harness Is the Model: Agent Scaffolding Changes a Fixed LLM's Compliance with Banking Conduct Rules, Unevenly Across Models
Banks validate language models, but they deploy systems: a model inside a harness that decides what it sees, which tools it can call and who checks its actions.Online Adaptation to Latent Physical Properties for Learning from Demonstration
Manipulating visually identical objects with different physical properties requires adapting actions based on information acquired through interaction.ReactWorld: Structuring Interaction Responses for Embodied Video Generation
Embodied video world models predict scene changes caused by robot actions, yet generated object responses may remain inconsistent with task intent and contact dynamics.3D Pose Estimation in Projection Space via Pixel-level Visible Light Communication
Projector-based augmented reality enables natural interaction between users and devices by overlaying digital information onto the physical world through projected imagery.Ab Initio Accuracy Beyond the Cutoff: Distributed Message-Passing Equivariant Attention at Tens-of-Millions-of-Atom Scale
Molecular dynamics predicts molecular motion from atomic forces and trajectory integration.From Handcrafted to Generative: RLVR-Optimized Icon Generation for Alexa+
Alexa+ devices with screens display animated icons during conversations to visually reinforce what is being said.A Post-Quantum Interactive Hashing Theorem
Interactive hashing, introduced by Ostrovsky, Venkatesan, and Yung [OVY93], is a building block in many cryptographic protocols, including perfectly hiding commitments from one-way permutations…NN-Based FeFET Compact Modeling for SPICE Simulation
Prototyping and early-stage circuit evaluation for emerging transistor technologies require fast and accurate compact models for SPICE simulations.Short-Term Forecasting of Heterogeneous Wind Power Fleets: Global Temporal Fusion Transformer Leveraging Static Covariates
Accurate short-term wind power forecasting is critical for grid stability and electricity trading.ModalSearcher: Weaving Visual Evidence into Autonomous Cross-Modal Deep Search
Static and incomplete parametric knowledge limits the performance of multimodal large language models on novel-knowledge and knowledge-intensive tasks, especially those requiring multi-hop evidence…Growing One's AI Tools: A Paradigm of Practice-Grown Tools
Professionals have long used software built for them by others.Accelerating Long-Context Decoding in Large-Scale Hybrid LLMs Without Retraining
The full-attention layers of large language models (LLMs) make every generated token more expensive than the previous one, slowing models down on long-context tasks.SBVUL: Statement-Based Vulnerability Detection
Many recent approaches for vulnerability detection use large language models (LLMs) to classify functions as vulnerable or benign, leaving developers to locate the exploitable statements.Pauli Gadget Synthesis for Gatesets with Arbitrary Even Arity Clifford Gates
We propose an algorithm that can synthesize circuits to gate sets consisting of a 2n-arity Clifford gate and arbitrary single qubit rotations.
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