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 "updating content in cache aided coded multicast"):
  Abstract: Motivated by applications to delivery of dynamically updated, but correlated data in settings such as content distribution networks, and distributed file sharing systems, we study a single source multiple destination network coded multicast problem in a cache-aided network. We focus on models where the caches are primarily located near the destinations, and where the source has no cache. The source observes a sequence of correlated frames, and is expected to do frame-by-frame encoding with no access to prior frames. We present a novel scheme that shows how the caches can be advantageously used to decrease the overall cost of multicast, even though the source encodes without access to past data. Our cache design and update scheme works with any choice of network code designed for a corresponding cache-less network, is largely decentralized, and works for an arbitrary network. We study a convex relation of the optimization problem that results form the overall cost function. The results of the optimization problem determines the rate allocation and caching strategies. Numerous simulation results are presented to substantiate the theory developed.

Includes members:
  Member "centralized coded caching of correlated contents":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rate memory trade off for caching and delivery of correlated sources")
  Member "coded multicast fronthauling and edge caching for multi connectivity transmission in fog radio access networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how much can d2d communication reduce content delivery latency in fog networks with edge caching")
  Member "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "codes for updating linear functions over small fields")
  Member "cache aided coded multicast for correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rate memory trade off for caching and delivery of correlated sources")
  Member "adaptive caching networks with optimality guarantees":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a ttl based approach for content placement in edge networks")
  Member "coded caching with nonuniform demands":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "symmetric uncoded caching schemes with low subpacketization levels")
  Member "decentralized coded caching attains order optimal memory rate tradeoff":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")
  Member "fundamental limits of caching":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")

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)