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 "a new data processing inequality and its applications in distributed source and channel coding"):
  Abstract: In the distributed coding of correlated sources, the problem of characterizing the joint probability distribution of a pair of random variables satisfying an n-letter Markov chain arises. The exact solution of this problem is intractable. In this paper, we seek a single-letter necessary condition for this n-letter Markov chain. To this end, we propose a new data processing inequality on a new measure of correlation through a spectral method. Based on this new data processing inequality, we provide a single-letter necessary condition for the required joint probability distribution. We apply our results to two specific examples involving the distributed coding of correlated sources: multiple-access channel with correlated sources and multiterminal rate-distortion region, and propose new necessary conditions for these two problems.

Includes members:
  Member "sending a bi variate gaussian source over a gaussian mac":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback")
  Member "an outer bound for the multi terminal rate distortion region":
    also connected through other hyperedges:
      (none)
  Member "sending a bi variate gaussian source over a gaussian mac":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback")
  Member "an infeasibility result for the multiterminal source coding problem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "rate region of the quadratic gaussian two encoder source coding problem")
  Member "a single letter upper bound for the sum rate of multiple access channels with correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sending a bi variate gaussian source over a gaussian mac")

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)