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: "rate distortion and denoising of individual data using kolmogorov complexity"
  Abstract: We examine the structure of families of distortion balls from the perspective of Kolmogorov complexity. Special attention is paid to the canonical rate-distortion function of a source word which returns the minimal Kolmogorov complexity of all distortion balls containing that word subject to a bound on their cardinality. This canonical rate-distortion function is related to the more standard algorithmic rate-distortion function for the given distortion measure. Examples are given of list distortion, Hamming distortion, and Euclidean distortion. The algorithmic rate-distortion function can behave differently from Shannon's rate-distortion function. To this end, we show that the canonical rate-distortion function can and does assume a wide class of shapes (unlike Shannon's); we relate low algorithmic mutual information to low Kolmogorov complexity (and consequently suggest that certain aspects of the mutual information formulation of Shannon's rate-distortion function behave differently than would an analogous formulation using algorithmic mutual information); we explore the notion that low Kolmogorov complexity distortion balls containing a given word capture the interesting properties of that word (which is hard to formalize in Shannon's theory) and this suggests an approach to denoising; and, finally, we show that the different behavior of the rate-distortion curves of individual source words to some extent disappears after averaging over the source words.

Connected through hyperedge HE-1 (induced by source paper "information kernels"):
  with members:
    - "algorithmic statistics forty years later"
    - "algorithmic statistics revisited"
    - "all sampling methods produce outliers"
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-2 (induced by source paper "random noise increases kolmogorov complexity and hausdorff dimension"):
  with members:
    - "algorithmic statistics forty years later"
    - "analysis of boolean functions"

Connected through hyperedge HE-3 (induced by source paper "on algorithmic statistics for space bounded algorithms"):
  with members:
    - "algorithmic statistics forty years later"
    - "around kolmogorov complexity basic notions and results"
    - "improving the space bounded version of muchnik s conditional complexity theorem via naive derandomization"
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-4 (induced by source paper "on the gaussianity of kolmogorov complexity of mixing sequences"):
  with members:
    - "entropy rate estimation for markov chains with large state space"
    - "minimum complexity pursuit"
    - "minimum description length induction bayesianism and kolmogorov complexity"

Connected through hyperedge HE-5 (induced by source paper "algorithmic statistics forty years later"):
  with members:
    - "algorithmic statistics normal objects and universal models"
    - "around kolmogorov complexity basic notions and results"
    - "algorithmic statistics revisited"
    - "algorithmic statistics prediction and machine learning"
    - "some properties of antistochastic strings"
    - "sophistication vs logical depth"
    - "depth as randomness deficiency"
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-6 (induced by source paper "occam bound on lowest complexity of elements"):
  with members:
    - "forbidden information"
    - "an information theoretic representation of agent dynamics as set intersections"
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-7 (induced by source paper "on quantum noncompression"):
  with members:
    - "all sampling methods produce outliers"
    - "an information theoretic representation of agent dynamics as set intersections"
    - "sets have simple members"
    - "algorithmic rate distortion theory"
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-8 (induced by source paper "quantum coding theorems"):
  with members:
    - "all sampling methods produce outliers"
    - "an information theoretic representation of agent dynamics as set intersections"
    - "sets have simple members"
    - "kolmogorov s structure functions and model selection"

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)