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: "non asymptotic and asymptotic fundamental limits of guessing subject to distortion"
  Abstract: This paper considers the problem of guessing random variables subject to distortion. We investigate both non-asymptotic and asymptotic fundamental limits of the minimum $t$-th moment of the number of guesses. These fundamental limits are characterized by the quantity related to the R\'enyi entropy. To derive the non-asymptotic bounds, we use our techniques developed in lossy compression. Moreover, using the results obtained in the non-asymptotic setting, we derive the asymptotic result and show that it coincides with the previous result by Arikan and Merhav.

Connected through hyperedge HE-1 (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"
    - "multi user guesswork and brute force security"
    - "on the smooth renyi entropy and variable length source coding allowing errors"
    - "variable length compression allowing errors extended"
    - "variable length compression allowing errors"
    - "guesswork large deviations and shannon entropy"
    - "guessing revisited a large deviations approach"

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)