human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "message transmission over classical quantum channels with a jammer with side information correlation as resource and common randomness generating"
  Abstract: In this paper we analyze the capacity of a general model for arbitrarily varying classical-quantum channels when the sender and the receiver use a weak resource. In this model a jammer has side information about the channel input. We determine the correlation assisted capacity of AVCQCs with a jammer knowing the channel input. We deliver a single letter formula for the correlation assisted capacity. This formula as a function of the channel parameters is Turing computable. The single letter characterization is surprising, on the one hand because correlation is the weakest resource in the hierarchy of resources, on the other hand because the deterministic capacity formula for arbitrarily varying channels with informed jammer is still an open problem, even for classical arbitrarily varying channels, where the well-know Shannon's zero-error capacity is contained as a special case of this scenario. As an application,we determine the correlation assisted common randomness capacity. We also analyze these both capacities when only a small amount of correlation is available. For the correlation assisted common randomness capacity we show a further interesting aspect: For a sufficient amount of "public communication", common randomness capacity is Turing computable, however without this public communication's constrain, the correlation assisted common randomnesscapacity is in general not Banach-Mazur computable and thus not Turing computable.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)