output
19972026
most citedMobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges

1.3k citations

552 papers

quant-ph2026

How Many Shots Are Enough for a Quantum Circuit?

Giuseppe Bisicchia, Alessandro Bocci, Ernesto Pimentel +1

Quantum algorithms require repeated circuit executions, known as shots, to estimate output distributions accurately. Determining the minimal number of shots needed to meet a target…

cs.GT2026

N-Player Binary Games with Unidirectional Dependencies: Cycle Robustness and Induced Indifference

Jose Maria Sanchez-Saez, Nana Odishelidze, Francisco Criado-Aldeanueva

The present study provides a closed-form characterisation of Nash equilibria in N-player binary games with unidirectional dependencies. While general network games are PPAD-complet…

cs.AI2026

Limited Perfect Monotonical Surrogates constructed using low-cost recursive linkage discovery with guaranteed output

M. W. Przewozniczek, F. Chicano, R. Tinós +1

Surrogates provide a cheap solution evaluation and offer significant leverage for optimizing computationally expensive problems. Usually, surrogates only approximate the original f…

cs.NE2026

Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems

Diego Daniel Pedroza-Perez, Gabriel Luque, Sergio Nesmachnow +1

Dock-based bike-sharing systems exhibit spatial imbalances between bicycle supply and user demand, often addressed through overnight truck-based rebalancing. This work studies stat…

astro-ph.EP2026★ 1 cited

Long-term outburst activity of comet 17P/Holmes and constraints on ejecta size distributions

Maria Gritsevich, Marcin Wesołowski, Josep M. Trigo-Rodríguez +4

A quantitative understanding of cometary outbursts requires robust constraints on the size distribution of ejected particles, which governs outburst dynamics and underpins estimate…

cs.NE2026

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification

Jamal Toutouh

This paper studies semi-supervised tabular classification in the extreme low-label regime using lightweight base learners. The paper proposes a cooperative coevolutionary method (C…