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: "randomness of d sequences via diehard testing"
  Abstract: This paper presents a comparison of the quality of randomness of D sequences based on diehard tests. Since D sequences can model any random sequence, this comparison is of value beyond this specific class.

Connected through hyperedge HE-1 (induced by source paper "new class of pseudorandom d sequences to generate cryptographic keys"):
  with members:
    - "a survey of p2p network security"
    - "binary random sequences obtained from decimal sequences"
    - "testing d sequences for their randomness"

Connected through hyperedge HE-2 (induced by source paper "a new result on the random residue sequence algorithm"):
  with members:
    - "a wireless system using random residue sequences"
    - "random residue sequences and the number theoretic hilbert transform"
    - "new results on the number theoretic hilbert transform"
    - "a class of orthogonal sequences"
    - "the 10 point and 12 point number theoretic hilbert transform"
    - "the number theoretic hilbert transform"

Connected through hyperedge HE-3 (induced by source paper "survey of key distribution schemes for wireless sensor networks"):
  with members:
    - "random residue sequences and the number theoretic hilbert transform"
    - "a key set cipher for wireless sensor networks"
    - "the piggy bank cryptographic trope"
    - "watermarking using decimal sequences"

Connected through hyperedge HE-4 (induced by source paper "a wireless system using random residue sequences"):
  with members:
    - "random residue sequences and the number theoretic hilbert transform"
    - "a key set cipher for wireless sensor networks"
    - "the number theoretic hilbert transform"
    - "watermarking using decimal sequences"

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.NA(Numerical Analysis)