human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "expurgated random coding ensembles exponents refinements and connections"):
  Abstract: Reference EPFL-ARTICLE-203538 URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6810903 Record created on 2014-11-25, modified on 2017-05-10

Includes members:
  Member "mismatched decoding error exponents second order rates and saddlepoint approximations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "saddlepoint approximations for short packet wireless communications")
  Member "refinement of the random coding bound":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "second order asymptotics of sequential hypothesis testing")
  Member "a derivation of the asymptotic random coding prefactor":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on exact asymptotics of the error probability in channel coding symmetric channels")
  Member "error exponents of optimum decoding for the interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "exact error and erasure exponents for the asymmetric broadcast channel")
  Member "error exponents of erasure list decoding revisited via moments of distance enumerators":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "exact error and erasure exponents for the asymmetric broadcast channel")

Question: Please tell me which class the source paper 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)