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 "errors and erasures decoding for block codes with feedback"):
  Abstract: Inner and outer bounds are derived on the optimal performance of fixed-length block codes on discrete memoryless channels with feedback and errors-and-erasures decoding. First, an inner bound is derived using a two-phase encoding scheme with communication and control phases together with the optimal decoding rule for the given encoding scheme, among decoding rules that can be represented in terms of pairwise comparisons between the messages. Then, an outer bound is derived using a generalization of the straight-line bound to errors-and-erasures decoders and the optimal error-exponent tradeoff of a feedback encoder with two messages. In addition, upper and lower bounds are derived, for the optimal erasure exponent of error-free block codes in terms of the rate. Finally, a proof is provided for the fact that the optimal tradeoff between error exponents of a two-message code does not improve with feedback on discrete memoryless channels (DMCs).

Includes members:
  Member "variations on a theme by schalkwijk and kailath":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "feedback channel communication with low precision arithmetic")
  Member "achievable error exponents for channel with side information erasure and list decoding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "error and erasure exponents for the broadcast channel with degraded message sets")
  Member "error exponents for the gaussian channel with active noisy feedback":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "achievable error exponents of one way and two way awgn channels")
  Member "a simple converse of burnashev s reliability function":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the reliability function of discrete memoryless multiple access channel with feedback")
  Member "a neyman pearson approach to universal erasure and list decoding":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "exact error and erasure exponents for the asymmetric broadcast channel")
  Member "error exponents for variable length block codes with feedback and cost constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "achievable error exponents of one way and two way awgn channels")
  Member "error exponents of erasure list decoding revisited via moments of distance enumerators":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "exact error and erasure exponents for the asymmetric broadcast channel")
  Member "on the error exponents of arq channels with deadlines":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "error exponents of erasure list decoding revisited via moments of distance enumerators")

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)