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: "few paths fewer words model selection with automatic structure functions"
  Abstract: We consider the problem of finding an optimal statistical model for a given binary string. Following Kolmogorov, we use structure functions. In order to get concrete results, we replace Turing machines by finite automata and Kolmogorov complexity by Shallit and Wang's automatic complexity. #R##N#The $p$-value of a model for given data $x$ is the probability that there exists a model with as few states, accepting as few words, fitting uniformly randomly selected data $y$. #R##N#Deterministic and nondeterministic automata can give different optimal models. For $x=011\, 110\, 110\, 11$, the best deterministic model has $p$-value $0.3$, whereas the best nondeterministic model has $p$-value $0.04$. #R##N#In the nondeterministic case, counting paths and counting words can give different optimal models. For $x=01100\, 01000$, the best path-counting model has $p$-value $0.79$, whereas the best word-counting model has $p$-value $0.60$.

Connected through hyperedge HE-1 (induced by source paper "superposition as memory unlocking quantum automatic complexity"):
  with members:
    - "automatic kolmogorov complexity and normality revisited"
    - "shift registers fool finite automata"
    - "nondeterministic automatic complexity of overlap free and almost square free words"

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)