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 multilevel diversity coding"):
  Abstract: In distributed multilevel diversity coding, $K$ correlated sources (each with $K$ components) are encoded in a distributed manner such that, given the outputs from any $\alpha$ encoders, the decoder can reconstruct the first $\alpha$ components of each of the corresponding $\alpha$ sources. For this problem, the optimality of a multilayer Slepian-Wolf coding scheme based on binning and superposition is established when $K\leq 3$. The same conclusion is shown to hold for general $K$ under a certain symmetry condition, which generalizes a celebrated result by Yeung and Zhang.

Includes members:
  Member "broadcasting correlated vector gaussians":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "vector gaussian successive refinement with degraded side information")
  Member "multilevel diversity coding with regeneration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an open source toolbox for computer aided investigation on the fundamental limits of information systems version 0 1")
  Member "symmetrical multilevel diversity coding and subset entropy inequalities":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multilevel diversity coding with secure regeneration separate coding achieves the mbr point")
  Member "secure symmetrical multilevel diversity coding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multilevel diversity coding with secure regeneration separate coding achieves the mbr point")
  Member "asymmetric multilevel diversity coding and asymmetric gaussian multiple descriptions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multilevel diversity coding with secure regeneration separate coding achieves the mbr point")
  Member "approximating the gaussian multiple description rate region under symmetric distortion constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the storage cost of private information retrieval")
  Member "robust distributed source coding":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "generalized gaussian multiterminal source coding in the high resolution regime")

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)