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: "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"
  Abstract: The randomness rate of an infinite binary sequence is characterized by the sequence of ratios between the Kolmogorov complexity and the length of the initial segments of the sequence. It is known that there is no uniform effective procedure that transforms one input sequence into another sequence with higher randomness rate. By contrast, we display such a uniform effective procedure having as input two independent sequences with positive but arbitrarily small constant randomness rate. Moreover the transformation is a truth-table reduction and the output has randomness rate arbitrarily close to 1.

Connected through hyperedge HE-1 (induced by source paper "short lists with short programs in short time"):
  with members:
    - "short lists with short programs in short time a short proof"
    - "space bounded kolmogorov extractors"
    - "nonuniform kolmogorov extractors"
    - "short lists for shortest descriptions in short time"
    - "complexity of complexity and strings with maximal plain and prefix kolmogorov complexity"
    - "possibilities and impossibilities in kolmogorov complexity extraction"
    - "symmetry of information and bounds on nonuniform randomness extraction via kolmogorov extractors"
    - "improving the space bounded version of muchnik s conditional complexity theorem via naive derandomization"

Connected through hyperedge HE-2 (induced by source paper "space bounded kolmogorov extractors"):
  with members:
    - "possibilities and impossibilities in kolmogorov complexity extraction"
    - "symmetry of information and bounds on nonuniform randomness extraction via kolmogorov extractors"
    - "on the optimal compression of sets in pspace"
    - "pseudo random graphs and bit probe schemes with one sided error"
    - "impossibility of independence amplification in kolmogorov complexity theory"
    - "improving the space bounded version of muchnik s conditional complexity theorem via naive derandomization"
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"

Connected through hyperedge HE-3 (induced by source paper "possibilities and impossibilities in kolmogorov complexity extraction"):
  with members:
    - "counting dependent and independent strings"
    - "impossibility of independence amplification in kolmogorov complexity theory"
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "algorithmically independent sequences"
    - "constructive dimension and turing degrees"
    - "dimension extractors and optimal decompression"

Connected through hyperedge HE-4 (induced by source paper "counting dependent and independent strings"):
  with members:
    - "possibilities and impossibilities in kolmogorov complexity extraction"
    - "impossibility of independence amplification in kolmogorov complexity theory"
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "on generating independent random strings"

Connected through hyperedge HE-5 (induced by source paper "impossibility of independence amplification in kolmogorov complexity theory"):
  with members:
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "on generating independent random strings"
    - "constructive dimension and turing degrees"

Connected through hyperedge HE-6 (induced by source paper "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"):
  with members:
    - "algorithmically independent sequences"
    - "constructive dimension and turing degrees"

Connected through hyperedge HE-7 (induced by source paper "on generating independent random strings"):
  with members:
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "algorithmically independent sequences"

Connected through hyperedge HE-8 (induced by source paper "algorithmically independent sequences"):
  with members:
    - "on generating independent random strings"
    - "constructive dimension and turing degrees"
    - "shannon information and kolmogorov complexity"
    - "independence properties of algorithmically random sequences"
    - "the dimensions of individual strings and 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.IT(Information Theory)