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: "algorithmically independent sequences"
  Abstract: Two objects are independent if they do not affect each other. Independence is well-understood in classical information theory, but less in algorithmic information theory. Working in the framework of algorithmic information theory, the paper proposes two types of independence for arbitrary infinite binary sequences and studies their properties. Our two proposed notions of independence have some of the intuitive properties that one naturally expects. For example, for every sequence $x$, the set of sequences that are independent (in the weaker of the two senses) with $x$ has measure one. For both notions of independence we investigate to what extent pairs of independent sequences, can be effectively constructed via Turing reductions (from one or more input sequences). In this respect, we prove several impossibility results. For example, it is shown that there is no effective way of producing from an arbitrary sequence with positive constructive Hausdorff dimension two sequences that are independent (even in the weaker type of independence) and have super-logarithmic complexity. Finally, a few conjectures and open questions are discussed.

Connected through hyperedge HE-1 (induced by source paper "finite state independence"):
  with members:
    - "nondeterministic automatic complexity of almost square free and strongly cube free words"

Connected through hyperedge HE-2 (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"
    - "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"
    - "constructive dimension and turing degrees"
    - "dimension extractors and optimal decompression"

Connected through hyperedge HE-3 (induced by source paper "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"):
  with members:
    - "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"
    - "constructive dimension and turing degrees"

Connected through hyperedge HE-4 (induced by source paper "on generating independent random strings"):
  with members:
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"

Connected through hyperedge HE-5 (induced by source paper "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"):
  with members:
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "constructive dimension and turing degrees"
    - "dimension extractors and optimal decompression"
    - "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)