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: "on random primitive sets directable ndfas and the generation of slowly synchronizing dfas"
  Abstract: We tackle the problem of the randomized generation of slowly synchronizing deterministic automata (DFAs) by generating random primitive sets of matrices. We show that when the randomized procedure is too simple the exponent of the generated sets is O(n log n) with high probability, thus the procedure fails to return DFAs with large reset threshold. We extend this result to random nondeterministic automata (NDFAs) by showing, in particular, that a uniformly sampled NDFA has both a 2-directing word and a 3-directing word of length O(n log n) with high probability. We then present a more involved randomized algorithm that manages to generate DFAs with large reset threshold and we finally leverage this finding for exhibiting new families of DFAs with reset threshold of order $ \Omega(n^2/4) $.

Connected through hyperedge HE-1 (induced by source paper "a linear bound on the k rendezvous time for primitive sets of nz matrices"):
  with members:
    - "improving the upper bound on the length of the shortest reset word"
    - "the synchronizing probability function for primitive sets of matrices"
    - "on randomized generation of slowly synchronizing automata"
    - "primitive sets of nonnegative matrices and synchronizing automata"
    - "experiments with synchronizing automata"
    - "reachability of consensus and synchronizing automata"
    - "synchronizing automata with extremal properties"
    - "strong inapproximability of the shortest reset word"

Connected through hyperedge HE-2 (induced by source paper "the synchronizing probability function for primitive sets of matrices"):
  with members:
    - "improving the upper bound on the length of the shortest reset word"
    - "on randomized generation of slowly synchronizing automata"
    - "primitive sets of nonnegative matrices and synchronizing automata"
    - "reachability of consensus and synchronizing automata"
    - "synchronizing automata with extremal properties"
    - "primitive digraphs with large exponents and slowly synchronizing automata"
    - "the complexity of finding reset words in finite automata"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

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.FL(Formal Languages and Automata Theory)