human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "symmetry of information a closer look"):
  Abstract: Symmetry of information establishes a relation between the information that x has about y (denoted I(x : y)) and the information that y has about x (denoted I(y : x)). In classical information theory, the two are exactly equal, but in algorithmical information theory, there is a small excess quantity of information that differentiates the two terms, caused by the necessity of packaging information in a way that makes it accessible to algorithms. It was shown in [Zim11] that in the case of strings with simple complexity (that is the Kolmogorov complexity of their Kolmogorov complexity is small), the relevant information can be packed in a very economical way, which leads to a tighter relation between I(x : y) and I(y : x) than the one provided in the classical symmetry-of-information theorem of Kolmogorov and Levin. We give here a simpler proof of this result, using a suggestion of Alexander Shen. This result implies a van Lambalgen- type theorem for finite strings and plain complexity: If x is c-random and y is c-random relative to x, then xy is O(c)-random. We show that a similar result holds for prefix-free complexity and weak-K-randomness.

Includes members:
  Member "possibilities and impossibilities in kolmogorov complexity extraction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "short lists with short programs in short time")
  Member "symmetry of information and bounds on nonuniform randomness extraction via kolmogorov extractors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "short lists with short programs in short time")
  Member "counting dependent and independent strings":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "possibilities and impossibilities in kolmogorov complexity extraction")
  Member "extracting the kolmogorov complexity of strings and sequences from sources with limited independence":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "space bounded kolmogorov extractors")

Question: Please tell me which class the source paper 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)