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: "second order region for gray wyner network"
  Abstract: The coding problem over the Gray–Wyner network is studied from the second-order coding rates perspective. A tilted information density for this network is introduced in the spirit of Kostina–Verdu, and, under a certain regularity condition, the second-order region is characterized in terms of the variance of this tilted information density and the tangent vector of the first-order region. The second-order region is proved by the type method: the achievability part is proved by the type-covering argument, and the converse part is proved by a refinement of the perturbation approach that was used by Gu–Effros to show the strong converse of the Gray–Wyner network. This is the first instance that the second-order region is characterized for a multi-terminal problem, where the characterization of the first-order region involves an auxiliary random variable.

Connected through hyperedge HE-1 (induced by source paper "the dispersion of the gauss markov source"):
  with members:
    - "on the dispersions of three network information theory problems"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "fixed length lossy compression in the finite blocklength regime"
    - "the dispersion of lossy source coding"
    - "the dispersion of joint source channel coding"
    - "a note on rate distortion functions for nonstationary gaussian autoregressive processes"

Connected through hyperedge HE-2 (induced by source paper "strong converse using change of measure arguments"):
  with members:
    - "a new proof of nonsignalling multiprover parallel repetition theorem"
    - "communication for generating correlation a survey"
    - "communication for generating correlation a unifying survey"
    - "improved finite blocklength converses for slepian wolf coding via linear programming"
    - "strong converses are just edge removal properties"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "wiretap channel capacity secrecy criteria strong converse and phase change"
    - "linear programming based converses for finite blocklength lossy joint source channel coding"

Connected through hyperedge HE-3 (induced by source paper "first and second order hypothesis testing for mixed memoryless sources"):
  with members:
    - "first and second order coding theorems for mixed memoryless channels with general mixture"
    - "on the dispersions of three network information theory problems"
    - "second order resolvability intrinsic randomness and fixed length source coding for mixed sources information spectrum approach"
    - "second order slepian wolf coding theorems for non mixed and mixed sources"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-4 (induced by source paper "exponential strong converse for content identification with lossy recovery"):
  with members:
    - "refined asymptotics for rate distortion using gaussian codebooks for arbitrary sources"
    - "the dispersion of universal joint source channel coding for arbitrary sources and additive channels"
    - "non asymptotic converse bounds and refined asymptotics for two lossy source coding problems"
    - "wyner s common information under r enyi divergence measures"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "new strong converse for asymmetric broadcast channels"
    - "achievable moderate deviations asymptotics for streaming compression of correlated sources"
    - "smoothing brascamp lieb inequalities and strong converses for common randomness generation"

Connected through hyperedge HE-5 (induced by source paper "wyner s common information under r enyi divergence measures"):
  with members:
    - "exact random coding secrecy exponents for the wiretap channel"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"
    - "exponent function for source coding with side information at the decoder at rates below the rate distortion function"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "exact common information"
    - "renyi divergence and kullback leibler divergence"
    - "effective secrecy reliability confusion and stealth"

Connected through hyperedge HE-6 (induced by source paper "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"):
  with members:
    - "strong successive refinability and rate distortion complexity tradeoff"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "second order coding region for the discrete lossy gray wyner source coding problem"
    - "the lossy common information of correlated sources"
    - "second order coding rates for channels with state"
    - "a technique for deriving one shot achievability results in network information theory"
    - "refinement of the random coding bound"
    - "moderate deviations in channel coding"

Connected through hyperedge HE-7 (induced by source paper "non asymptotic converse bounds and refined asymptotics for two lossy source coding problems"):
  with members:
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "second order coding rates for channels with state"
    - "second order coding rates for conditional rate distortion"
    - "a technique for deriving one shot achievability results in network information theory"
    - "moderate deviations in channel coding"
    - "the dispersion of lossy source coding"
    - "moderate deviations of lossy source coding for discrete and gaussian sources"

Connected through hyperedge HE-8 (induced by source paper "a converse bound on wyner ahlswede k orner network via gray wyner network"):
  with members:
    - "exponent function for one helper source coding problem at rates outside the rate region"

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)