Systems & Networks · Computer Science & AI
Networking & Internet
The newest papers in Networking & Internet that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
248 papers, from 31 August 2026 to 5 November 2026: 208 arXiv preprints and 40 OpenAlex records.
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Newest papers, page 2
CrowdForge: Effects of Audio and Visual Audience Participation Modalities on Agency, Collaboration, and Engagement in AI-Mediated MR Performances
Technology-mediated audience participation (TMAP) enables audiences to influence live performances, yet balancing interaction with meaningful agency remains challenging.From Reactive to Agentic Resilience: Multi-Timescale AI-RAN Orchestration Under Signaling Storms
Next-generation open radio access network (Open RAN) and AI-RAN deployments turn the RAN into a disaggregated, compute-aware platform whose service continuity depends on many control loops acting at…Quantum Private Information Retrieval on Forests
We consider the problem of graph private information retrieval (PIR) in the quantum setting.Survival-Time Risk Beyond Low-Order Channel Models: Identifiability and Scheduling
This paper investigates whether low-order packet-loss statistics suffice to assess survival-time risk under bursty packet losses, i.e., the probability that no update succeeds for a prescribed…Exploring the Power Consumption of ERC-4337 Bundling on Server Infrastructure
The Ethereum ecosystem offers the most widespread support for Decentralised Applications (DApps), with over 120 networks currently documented as using variants of the Ethereum Virtual Machine (EVM)…Token-as-a-Utility: A Model-Agnostic Architecture for Metering and Provisioning AI Inference Services
Token-based subscriptions are emerging as a commercial model for large language model inference, but extending them into interoperable utility services requires comparable consumption accounting.State-Augmented Learning for Post-Deployment Adaptation of Coexisting O-RAN Applications
Fixed control policies in Open RAN can require retraining when service requirements, traffic loads, or interacting applications change.RadPose: ISAC-based RF 3D Human Pose Estimation
Human pose estimation under adverse lighting and occlusion conditions remains challenging for camera- and LiDAR-based systems.Exposure-Length Trade-off Optimization for Obstacle-Aware Intrusion Paths in Heterogeneous Wireless Sensor Networks
Barrier coverage is a key paradigm for intrusion detection and surveillance in IoT-enabled heterogeneous wireless sensor networks, where monitoring quality depends not only on the existence of…A Deep Reinforcement Learning Framework for Real-Time Electric Vehicle Charging Management in IoEV-Enabled Smart Cities
The rapid growth of electric vehicles (EVs) in urban environments demands intelligent, decentralised charging management strategies that operate under strict real-time constraints.Bounded Retained History in a Proxy Flow Replay: A Mixed Predictive Pilot and an Allocation Study
We examine bounded retained history through a frozen predictive pilot and a subsequent allocation study on a curated UNSW-NB15 flow mirror.From Confounding to Counterfactuals: A Cross-Layer Causal Model for RAN Scheduling
Data-driven control in radio access networks (RANs) selects resource allocations using associations between control actions and key performance indicators (KPIs) learned from network telemetry.Can Agentic AI Undermine Its Own Assurance Loop? Closed-Loop Dependency Assurance for Cognitive Network Digital Twins
Agentic Artificial Intelligence (AI) and Network Digital Twins (NDTs) are increasingly combined to form Cognitive Digital Twins (CDTs) that translate operational intents into network changes and…When 200 OK Is Not an Answer: Silent Fetch Failures in Agentic Web Content Acquisition
Web agents and answer engines fetch pages at question time, and liveness checks of cited sources treat an HTTP 200 response as success.Clockwork: Scheduling Compound AI Systems in Space Data Centers
Space data centers built on LEO constellations create an opportunity to serve Compound AI workflows close to where observations are captured.Digital Twin-Assisted Fast Beam Alignment for mmWave MIMO Networks
Millimeter-wave (mmWave) communication relies on directional beam sweeping for initial access, which incurs substantial latency and signaling overhead as antenna arrays grow large and deployments…ARK: Avoiding Routing Collisions for KV Cache Transfer in Disaggregated LLM Inference
Disaggregated LLM inference separates the prefill and decode phases across GPU pools, generating massive KV-cache transfers.Beamfocusing Beyond the Near Field: Frequency Diverse Arrays for OFDM-ISAC Systems
Traditional phased arrays (PAs) achieve near-field (NF) beamfocusing through spherical wavefront curvature, but lose this range selectivity in the far field (FF).DeepWeave: Weaving Neural and Symbolic Evidence for ML-Based Network Intrusion Detection System
Machine learning-based network intrusion detection systems can recognize complex traffic patterns, but often require substantial labelled attack data, degrade under deployment shift, and provide…ORION: An Outcome-Driven LLM Advisor for RL-Based Multi-Domain 6G Slice Placement
Deploying 6G network slices across administrative domains requires an online decision for each arriving request: which domain hosts each virtual network function, how traffic crosses domain…