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: "a simple derivation of the refined spb for the constant composition codes"
  Abstract: A judicious application of the Berry-Esseen theorem via the concepts of Augustin information and mean is demonstrated to be sufficient for deriving the sphere packing bound with a prefactor that is $\mathit{\Omega}\left(n^{-0.5(1-E_{sp}'(R,W,p))}\right)$ for the constant composition codes. The resulting non-asymptotic bounds have definite approximation error terms.

Connected through hyperedge HE-1 (induced by source paper "refined strong converse for the constant composition codes"):
  with members:
    - "on exact asymptotics of the error probability in channel coding symmetric channels"
    - "the augustin capacity and center"
    - "the sphere packing bound via augustin s method"
    - "renyi divergence and kullback leibler divergence"
    - "refinement of the sphere packing bound asymmetric channels"

Connected through hyperedge HE-2 (induced by source paper "a simple derivation of the refined sphere packing bound under certain symmetry hypotheses"):
  with members:
    - "on exact asymptotics of the error probability in channel coding symmetric channels"
    - "error probability bounds for gaussian channels under maximal and average power constraints"
    - "the renyi capacity and center"
    - "saddlepoint approximations for short packet wireless communications"
    - "the sphere packing bound for memoryless channels"
    - "the sphere packing bound for dspcs with feedback a la augustin"
    - "the augustin capacity and center"
    - "the augustin center and the sphere packing bound for memoryless channels"

Connected through hyperedge HE-3 (induced by source paper "the sphere packing bound for memoryless channels"):
  with members:
    - "on exact asymptotics of the error probability in channel coding symmetric channels"
    - "the renyi capacity and center"
    - "saddlepoint approximations for short packet wireless communications"
    - "the augustin capacity and center"
    - "the augustin center and the sphere packing bound for memoryless channels"
    - "the capacity of gaussian mimo channels under total and per antenna power constraints"
    - "the sphere packing bound via augustin s method"
    - "exact asymptotics for the random coding error probability"

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)