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: "on the smooth renyi entropy and variable length source coding allowing errors"
  Abstract: In this paper, we consider the problem of variable-length source coding allowing errors. The exponential moment of the codeword length is analyzed in the non-asymptotic regime and in the asymptotic regime. Our results show that the smooth Renyi entropy characterizes the optimal exponential moment of the codeword length.

Connected through hyperedge HE-1 (induced by source paper "asymptotic expansions of smooth r e nyi entropies and their applications"):
  with members:
    - "variable length source dispersions differ under maximum and average error criteria"
    - "a unified framework for problems on guessing source coding and task partitioning"
    - "on the conditional smooth renyi entropy and its applications in guessing and source coding"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "encoding tasks and renyi entropy"
    - "variable length compression allowing errors"

Connected through hyperedge HE-2 (induced by source paper "tight bounds on the r enyi entropy via majorization with applications to guessing and compression"):
  with members:
    - "on the conditional smooth renyi entropy and its applications in guessing and source coding"
    - "maximum entropy interval aggregations"
    - "distributed task encoding"
    - "reducing guesswork via an unreliable oracle"
    - "guessing attacks on distributed storage systems"
    - "bounds on the entropy of a function of a random variable and their applications"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "encoding tasks and renyi entropy"

Connected through hyperedge HE-3 (induced by source paper "improved bounds on lossless source coding and guessing moments via r e nyi measures"):
  with members:
    - "distributed task encoding"
    - "reducing guesswork via an unreliable oracle"
    - "guessing attacks on distributed storage systems"
    - "sharp bounds on arimoto s conditional r e nyi entropies between two distinct orders"
    - "on empirical cumulant generating functions of code lengths for individual sequences"
    - "f divergence inequalities"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"

Connected through hyperedge HE-4 (induced by source paper "on the conditional smooth renyi entropy and its applications in guessing and source coding"):
  with members:
    - "non asymptotic fundamental limits of guessing subject to distortion"
    - "a characterization of guesswork on swiftly tilting curves"
    - "non asymptotic and asymptotic fundamental limits of guessing subject to distortion"
    - "multi user guesswork and brute force security"
    - "variable length compression allowing errors extended"
    - "variable length compression allowing errors"
    - "guesswork large deviations and shannon entropy"
    - "guessing revisited a large deviations approach"

Connected through hyperedge HE-5 (induced by source paper "cumulant generating function of codeword lengths in variable length lossy compression allowing positive excess distortion probability"):
  with members:
    - "variable length lossy compression allowing positive overflow and excess distortion probabilities"
    - "variable length compression allowing errors"
    - "fixed length lossy compression in the finite blocklength regime"

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)