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 "cache aided coded multicast for correlated sources"):
  Abstract: The combination of edge caching and coded multicasting is a promising approach to improve the efficiency of content delivery over cache-aided networks. The global caching gain resulting from content overlap distributed across the network in current solutions is limited due to the increasingly personalized nature of the content consumed by users. In this paper, the cache-aided coded multicast problem is generalized to account for the correlation among the network content by formulating a source compression problem with distributed side information. A correlation-aware achievable scheme is proposed and an upper bound on its performance is derived. It is shown that considerable load reductions can be achieved, compared to state of the art correlation-unaware schemes, when caching and delivery phases specifically account for the correlation among the content files.

Includes members:
  Member "correlation aware distributed caching and coded delivery":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rate memory trade off for caching and delivery of correlated sources")
  Member "a rate distortion approach to caching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "rate distortion memory trade offs in heterogeneous caching networks")
  Member "caching aided coded multicasting with multiple random requests":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on optimal load memory tradeoff of cache aided scalar linear function retrieval")
  Member "order optimal rate of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an index coding approach to caching with uncoded cache placement")
  Member "finite length analysis of caching aided coded multicasting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")
  Member "an efficient multiple groupcast coded multicasting scheme for finite fractional caching":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks")
  Member "on the average performance of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "rate distortion memory trade offs in heterogeneous caching networks")
  Member "decentralized coded caching attains order optimal memory rate tradeoff":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")

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)