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: "converse for symmetric multi server single message pir with side information"
  Abstract: Multi-server single-message private information retrieval is studied in the presence of side information. In this problem, $K$ independent messages are replicatively stored at $N$ non-colluding servers. The user wants to privately download one message from the servers without revealing the index of the message to any of the servers, leveraging its $M$ side information messages. For all coding schemes satisfying a symmetry condition, we prove a converse for multi-server single-message PIR with side information. Specifically, in this case, it is shown that the capacity is $(1+\frac{1}{N}+\frac{1}{N^2}+\dots+\frac{1}{N^{\left\lceil \frac{K}{M+1}\right\rceil-1}})^{-1}$.

Connected through hyperedge HE-1 (induced by source paper "private information retrieval with private coded side information the multi server case"):
  with members:
    - "single server single message online private information retrieval with side information"
    - "single server multi message individually private information retrieval with side information"
    - "multi server private information retrieval with coded side information"
    - "multi message private information retrieval with private side information"
    - "single server multi message private information retrieval with side information"
    - "on the capacity of single server multi message private information retrieval with side information"
    - "capacity of single server single message private information retrieval with coded side information"
    - "fundamental limits of cache aided private information retrieval with unknown and uncoded prefetching"

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)