digitado

arXiv:2604.09685v1 Announce Type: new Abstract: We describe a zero-shot pipeline developed for the ACCIDENT @ CVPR 2026 challenge. The challenge requires predicting when, where, and what type of traffic accident occurs in surveillance video, without labeled real-world training data. Our method separates the problem into three independent modules. The first module localizes the collision in time by running peak detection on z-score normalized frame-difference signals. The second module finds the impact location by computing the weighted centroid of […]

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arXiv:2604.09683v1 Announce Type: new Abstract: Continuous Integration (CI) is widely adopted in modern software development, yet adoption decisions are often made without systematic consideration of project context. Platforms such as GitHub Actions lower the barrier to CI adoption but provide limited support for grounding adoption decisions in project characteristics, leading to redundant services, unmaintained workflows, and costly migrations. Existing research and tooling primarily focus on improving CI after adoption, offering little guidance for assessing suitability before adoption. As […]

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arXiv:2604.09682v1 Announce Type: new Abstract: Autonomous network management in Open Radio Access Networks requires intelligent decision making across conflicting objectives, yet existing LLM based multi agent systems employ homogeneous strategies and lack systematic predeployment validation. We introduce a persona driven multi agent framework where configurable behavioral personas structured specifications encoding optimization priorities, risk tolerance, and decision making style influence five specialized agents (planning, coordination, resource allocation, code generation, analysis). To enable rigorous validation, we develop a three dimensional […]

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arXiv:2604.09681v1 Announce Type: new Abstract: With the rapid growth of large-scale video analytics applications, edge-cloud collaborative systems have become the dominant paradigm for real-time inference. However, existing approaches often fail to dynamically adapt to heterogeneous video content and fluctuating resource conditions, resulting in suboptimal routing efficiency and high computational costs. In this paper, we propose R2E-VID, a two-stage robust routing framework via temporal gating for elastic edge-cloud video inference. In the first stage, R2E-VID introduces a temporal gating […]

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arXiv:2604.09680v1 Announce Type: new Abstract: Today’s 5G and NextG wireless networks are moving toward using the coordinated multi-point (CoMP) transmission and reception technique, where a client can be simultaneously served by multiple base stations (BSs) for better communication performance. However, traditional hierarchical federated learning (HFL) architectures impose the constraint that each client can be associated with only one edge server (ES) at a time. If we keep using the traditional HFL architectures in modern hierarchical networks for model […]

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arXiv:2604.09679v1 Announce Type: new Abstract: Multi-Agent Debate (MAD) is a collaborative framework in which multiple agents iteratively refine solutions through the generation of reasoning and alternating critique cycles. Current work primarily optimizes intra-round topologies and inter-round interactions separately, which still results in high token costs regardless of task complexity. This work introduces Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate (HCP-MAD), leveraging consensus as a dynamic signal to facilitate progressive reasoning. The core motivation is that a majority of […]

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arXiv:2604.09678v1 Announce Type: new Abstract: As agentic network management gains popularity, there is a critical need for evaluation frameworks that transcend static, one-shot testing. To address this, we introduce NetAgentBench, a dynamic benchmark that evaluates agent interactions through a Finite State Machine (FSM) formalization guaranteeing determinism, correctness, and bounded execution. This provides the networking landscape with a rigorous foundation to measure complex, multi-turn operational behaviors. Our empirical evaluation of four state-of-the-art LLM agents through diverse network configuration tasks […]

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This paper is a comparative analysis of classical and fractional derivatives models using Mittag-Leffler function. The Caputo fractional derivative is used to generalize the classical exponential decay model in order to include memory effects. Transform methods are used to obtain solutions of the forms of the Mittag-Leffler function. Numerical simulations are performed to analyze the behavior of the system for different fractional orders. The findings reveal that the fractional model generalizes the classical solution and it features slower […]

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Have you ever had to take on a task that caused the previous developer to burn out and leave the company? Well, I happened to run into exactly that kind of task. The task of ensuring secure local storage for files that a user uploads into the application, for example while communicating with technical support in a chat. I will cover all the details and explain everything thoroughly in this article. Getting a file from the user There […]

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In this paper, we present the notion of S-2-prime hyperideals, which provides a unifying generalization of 2-prime and S-prime hyperideals within multiplicative hyperrings. We explore their key algebraic properties and investigate their connections with other hyperideal classes. We emphasize the unique aspects that differentiate S-2-prime hyperideals, illustrating their role in expanding the theoretical framework of hyperideal structures. We examine how these hyperideals behave under hyperring homomorphisms, extensions, and standard algebraic operations, demonstrating that many known properties of prime, […]

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