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: "capacity results for finite field x channels with delayed csit"
  Abstract: We establish the capacity region of the two-user Finite-Field Fading X-Channel with delayed channel state information at the transmitters. We consider the most general case in which each transmitter has a common message for both receivers and a private message for each one of them. We derive a new set of outer-bounds for this problem that rely on an extremal entropy inequality. This inequality quantifies the ability of each transmitter in favoring one receiver over the other in terms of the delivered entropy when both receivers must obtain a baseline entropy. We show that the outer-bounds can be achieved by treating the X-Channel as a combination of a number of well-known problems such as the interference channel and the multicast channel. The capacity-achieving strategies of these sub-problems must be interleaved and carried on simultaneously in certain regimes in order to achieve the X-Channel outer-bounds.

Connected through hyperedge HE-1 (induced by source paper "capacity region of erasure broadcast channels with common message and feedback"):
  with members:
    - "capacity results for intermittent x channels with delayed channel state feedback"
    - "capacity results for binary fading interference channels with delayed csit"
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "completely stale transmitter channel state information is still very useful"

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)