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 "exact error and erasure exponents for the asymmetric broadcast channel"):
  Abstract: We derive exact (ensemble-tight) error and erasure exponents for the asymmetric broadcast channel given a random superposition codebook. We consider Forney's optimal decoder for both messages and the message pair for the receiver that decodes both messages. We prove that the optimal decoder designed to decode the pair of messages achieves the optimal trade-off between the total and undetected exponents associated with the optimal decoder for the private message. We propose convex optimization-based procedures to evaluate the exponents efficiently. Numerical examples are presented to illustrate the results.

Includes members:
  Member "exact random coding exponents and universal decoders for the asymmetric broadcast channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "expurgated bounds for the asymmetric broadcast channel")
  Member "expurgated bounds for the asymmetric broadcast channel":
    also connected through other hyperedges:
      (none)
  Member "random coding error exponents for the two user interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gaussian intersymbol interference channels with mismatch")
  Member "simplified erasure list decoding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "exponential source channel duality")
  Member "asymmetric evaluations of erasure and undetected error probabilities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distributed detection with empirically observed statistics")
  Member "exact random coding error exponents of optimal bin index decoding":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sharp bounds for mutual covering")
  Member "erasure list random coding error exponents are not universally achievable":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "mismatched guesswork")
  Member "error exponents for broadcast channels with degraded message sets":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions")

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)