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 the f 2 linear relations of mersenne twister pseudorandom number generators"
  Abstract: Sequence generators obtained by linear recursions over the two-element field F 2 , i.e., F 2 -linear generators, are widely used as pseudorandom number generators. For example, the Mersenne Twister MT19937 is one of the most successful applications. An advantage of such generators is that we can assess them quickly by using theoretical criteria, such as the dimension of equidistribution with v -bit accuracy. To compute these dimensions, several polynomial-time lattice reduction algorithms have been proposed in the case of F 2 -linear generators.In this paper, in order to assess non-random bit patterns in dimensions that are higher than the dimension of equidistribution with v -bit accuracy, we focus on the relationship between points in the Couture-L'Ecuyer dual lattices and F 2 -linear relations on the most significant v bits of output sequences, and consider a new figure of merit N v based on the minimum weight of F 2 -linear relations whose degrees are minimal for v . Next, we numerically show that MT19937 has low-weight F 2 -linear relations in dimensions higher than 623, and show that some output vectors with specific lags are rejected or have small p-values in birthday spacings tests. We also report that some variants of Mersenne Twister, such as WELL generators, are significantly improved from the perspective of N v .

Connected through hyperedge HE-1 (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"
    - "the myth of equidistribution for high dimensional simulation"

Connected through hyperedge HE-2 (induced by source paper "scrambled linear pseudorandom number generators"):
  with members:
    - "an experimental exploration of marsaglia s xorshift generators scrambled"
    - "further scramblings of marsaglia s xorshift generators"

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)