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: "when is it possible to simulate a dmc channel from another"
  Abstract: In this paper, we study the problem of simulating a DMC channel from another DMC channel. We assume that the input to the channel we are simulating is i.i.d. and that the transmitter and receivers are provided with common randomness at limited rates. We prove bounds for simulating point-to-point, MAC and broadcast channels. As a special case, we recover the achievability part of the result of Cuff for point-to-point channel simulation via a noiseless link and shared randomness.

Connected through hyperedge HE-1 (induced by source paper "strong coordination over noisy channels is separation sufficient"):
  with members:
    - "strong coordination over multi hop line networks"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "coordination via a relay"
    - "hybrid codes needed for coordination over the point to point channel"
    - "generating dependent random variables over networks"

Connected through hyperedge HE-2 (induced by source paper "strong coordination of signals and actions over noisy channels"):
  with members:
    - "secure cascade channel synthesis"
    - "distributed channel synthesis"
    - "achievability proof via output statistics of random binning"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-3 (induced by source paper "achievability proof via output statistics of random binning"):
  with members:
    - "distributed channel synthesis"
    - "hybrid coding an interface for joint source channel coding and network communication"
    - "channel simulation via interactive communications"
    - "coordination via a relay"
    - "strongly secure communications over the two way wiretap channel"
    - "strong secrecy from channel resolvability"
    - "construction of slepian wolf source code and broadcast channel code based on hash property"
    - "lecture notes on network information theory"

Connected through hyperedge HE-4 (induced by source paper "channel simulation via interactive communications"):
  with members:
    - "secure cascade channel synthesis"
    - "distributed channel synthesis"
    - "achievability proof via output statistics of random binning"
    - "secure channel simulation"
    - "coordination via a relay"
    - "generating dependent random variables over networks"
    - "communication requirements for generating correlated random variables"

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)