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: "the myth of equidistribution for high dimensional simulation"
  Abstract: A pseudo-random number generator (RNG) might be used to generate w-bit random samples in d dimensions if the number of state bits is at least dw. Some RNGs perform better than others and the concept of equidistribution has been introduced in the literature in order to rank different RNGs. We define what it means for a RNG to be (d, w)-equidistributed, and then argue that (d, w)-equidistribution is not necessarily a desirable property.

Connected through hyperedge HE-1 (induced by source paper "romu fast nonlinear pseudo random number generators providing high quality"):
  with members:
    - "scrambled linear pseudorandom number generators"

Connected through hyperedge HE-2 (induced by source paper "it is high time we let go of the mersenne twister"):
  with members:
    - "scrambled linear pseudorandom number generators"
    - "an experimental exploration of marsaglia s xorshift generators scrambled"
    - "further scramblings of marsaglia s xorshift generators"
    - "on the f 2 linear relations of mersenne twister pseudorandom number generators"

Connected through hyperedge HE-3 (induced by source paper "an experimental exploration of marsaglia s xorshift generators scrambled"):
  with members:
    - "some long period random number generators using shifts and xors"

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.MS(Mathematical Software)