human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "coded caching with shared caches fundamental limits with uncoded prefetching"
  Abstract: The work identifies the fundamental limits of coded caching when the K receiving users share {\Lambda}$\leq$ K helper-caches, each assisting an arbitrary number of different users. The main result is the derivation of the exact optimal worst-case delivery time - under the assumption of uncoded cache placement - for any user-to-cache association profile, where each such profile describes how many users are helped by each cache. This is achieved with a new information-theoretic converse that is based on index coding and which proves that a simple XOR-shrinking-and-removal coded-caching scheme is optimal irrespective of the user-to-cache association profile. All the results also apply directly to the coded caching problem with multiple file requests.

Connected through hyperedge HE-1 (induced by source paper "an index coding approach to caching with uncoded cache placement"):
  with members:
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "benefits of cache assignment on degraded broadcast channels"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "improved converses and gap results for coded caching"
    - "on the capacity for distributed index coding"
    - "coded caching for a large number of users"
    - "fundamental limits of caching improved bounds with coded prefetching"

Connected through hyperedge HE-2 (induced by source paper "rate memory trade off for multi access coded caching with uncoded placement"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "fundamental limits of caching in heterogeneous networks with uncoded prefetching"
    - "novel decentralized coded caching through coded prefetching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "improved converses and gap results for coded caching"
    - "uncoded placement optimization for coded delivery"
    - "a novel index coding scheme and its application to coded caching"
    - "novel outer bounds and inner bounds with uncoded cache placement for combination networks with end user caches"

Connected through hyperedge HE-3 (induced by source paper "on the fundamental limits of fog ran cache aided networks with downlink and sidelink communications"):
  with members:
    - "an optimal linear error correcting delivery scheme for coded caching with shared caches"
    - "how much can d2d communication reduce content delivery latency in fog networks with edge caching"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "full coded caching gains for cache less users"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"
    - "centralized caching with unequal cache sizes"

Connected through hyperedge HE-4 (induced by source paper "full coded caching gains for cache less users"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "achieving spatial scalability for coded caching over wireless networks"
    - "optimization of heterogeneous coded caching"

Connected through hyperedge HE-5 (induced by source paper "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "centralized caching with unequal cache sizes"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "efficient file delivery for coded prefetching in shared cache networks with multiple requests per user"
    - "optimization of heterogeneous coded caching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "noisy broadcast networks with receiver caching"

Question: Please tell me which class the center node 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)