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 "distributed joint source channel coding for functions over a multiple access channel"):
  Abstract: In this paper we provide sufficient conditions for lossy transmission of functions of correlated data over a multiple access channel (MAC). The conditions obtained can be shown as generalized version of Yamamoto's result. We also obtain efficient joint source-channel coding schemes for transmission of discrete and continuous alphabet sources to recover the function values. #R##N#Keywords: Joint source-channel coding, Graph coloring, Lipschitz functions, Correlated sources.

Includes members:
  Member "distributed joint source channel coding on a multiple access channel with side information":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "communicating correlated sources over mac and interference channels i separation based schemes")
  Member "communicating the difference of correlated gaussian sources over a mac":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compute and forward harnessing interference through structured codes")
  Member "lattices for distributed source coding jointly gaussian sources and reconstruction of a linear function":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")
  Member "sending a bi variate gaussian source over a gaussian mac":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback")
  Member "sending a bi variate gaussian source over a gaussian mac":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback")

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)