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: "communication requirements for generating correlated random variables"
  Abstract: Two familiar notions of correlation are rediscovered as extreme operating points for simulating a discrete memoryless channel, in which a channel output is generated based only on a description of the channel input. Wyner's "common information" coincides with the minimum description rate needed. However, when common randomness independent of the input is available, the necessary description rate reduces to Shannon's mutual information. This work characterizes the optimal tradeoff between the amount of common randomness used and the required rate of description.

Connected through hyperedge HE-1 (induced by source paper "distributed source simulation with no communication"):
  with members:
    - "decidability of non interactive simulation of joint distributions"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "a stronger soft covering lemma and applications"
    - "zero error coordination"
    - "exact common information"
    - "analysis of boolean functions"
    - "simulation of a channel with another channel"

Connected through hyperedge HE-2 (induced by source paper "algebraic properties of wyner common information solution under graphical constraints"):
  with members:
    - "latent factor analysis of gaussian distributions under graphical constraints"
    - "gaussian secure source coding and wyner s common information"

Connected through hyperedge HE-3 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information"):
  with members:
    - "persuasion with limited communication capacity"
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "joint coordination channel coding for strong coordination over noisy channels based on polar codes"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "secure cascade channel synthesis"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"

Connected through hyperedge HE-4 (induced by source paper "a unified approach to source and message compression"):
  with members:
    - "a one shot achievability result for quantum state redistribution"
    - "wiretap channels with random states non causally available at the encoder"
    - "simple one shot bounds for various source coding problems using smooth renyi quantities"
    - "on the dispersions of three network information theory problems"
    - "a technique for deriving one shot achievability results in network information theory"
    - "distributed channel synthesis"
    - "fixed length lossy compression in the finite blocklength regime"
    - "information equals amortized communication"

Connected through hyperedge HE-5 (induced by source paper "the likelihood encoder for lossy compression"):
  with members:
    - "joint source channel secrecy using hybrid coding"
    - "a rate distortion based secrecy system with side information at the decoders"
    - "a generalized typicality for abstract alphabets"
    - "the likelihood encoder for lossy source compression"
    - "a technique for deriving one shot achievability results in network information theory"
    - "non asymptotic output statistics of random binning and its applications"
    - "a connection between good rate distortion codes and backward dmcs"
    - "the likelihood encoder for source coding"

Connected through hyperedge HE-6 (induced by source paper "improving on the cut set bound via geometric analysis of typical sets"):
  with members:
    - "cut set bound is loose for gaussian relay networks"
    - "wireless network information flow a deterministic approach"
    - "compute and forward harnessing interference through structured codes"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-7 (induced by source paper "secure cascade channel synthesis"):
  with members:
    - "strong coordination over multi hop line networks"
    - "secrecy in cascade networks"
    - "the likelihood encoder for lossy source compression"
    - "strong coordination over a line network"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "achievability proof via output statistics of random binning"
    - "secure channel simulation"

Connected through hyperedge HE-8 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "coordination in state dependent distributed networks the two agent case"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"

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)