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: "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
  Abstract: In this paper, we derive non-asymptotic achievability and converse bounds on the random number generation with/without side-information. Our bounds are efficiently computable in the sense that the computational complexity does not depend on the block length. We also characterize the asymptotic behaviors of the large deviation regime and the moderate deviation regime by using our bounds, which implies that our bounds are asymptotically tight in those regimes. We also show the second-order rates of those problems, and derive single letter forms of the variances characterizing the second-order rates. Furthermore, we address the relative entropy rate and the modified mutual information rate for these problems.

Connected through hyperedge HE-1 (induced by source paper "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "two measures of dependence"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "universal channel coding for exponential family of channels"
    - "universal channel coding for general output alphabet"
    - "converses for secret key agreement and secure computing"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"

Connected through hyperedge HE-2 (induced by source paper "on privacy amplification lossy compression and their duality to channel coding"):
  with members:
    - "wiretap channels nonasymptotic fundamental limits"
    - "alignment of polarized sets"
    - "e_ gamma resolvability"
    - "approaching the rate distortion limit with spatial coupling belief propagation and decimation"
    - "non asymptotic output statistics of random binning and its applications"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
    - "fixed length lossy compression in the finite blocklength regime"

Connected through hyperedge HE-3 (induced by source paper "semi finite length analysis for information theoretic tasks"):
  with members:
    - "physical layer security for rf satellite channels in the finite length regime"
    - "strong converse for a degraded wiretap channel via active hypothesis testing"
    - "a tight upper bound for the third order asymptotics for most discrete memoryless channels"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "the log volume of optimal codes for memoryless channels asymptotically within a few nats"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "information spectrum approach to second order coding rate in channel coding"
    - "second order asymptotics in fixed length source coding and intrinsic randomness"

Connected through hyperedge HE-4 (induced by source paper "second order analysis for joint source channel coding with markovian source"):
  with members:
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "finite length analyses for source and channel coding on markov chains"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "the dispersion of joint source channel coding"
    - "information spectrum approach to second order coding rate in channel coding"
    - "second order asymptotics in fixed length source coding and intrinsic randomness"

Connected through hyperedge HE-5 (induced by source paper "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"):
  with members:
    - "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "asymmetric evaluations of erasure and undetected error probabilities"
    - "list decoding random coding exponents and expurgated exponents"
    - "encoding tasks and renyi entropy"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "erasure list exponents for slepian wolf decoding"

Connected through hyperedge HE-6 (induced by source paper "security analysis of varepsilon almost dual universal 2 hash functions smoothing of min entropy versus smoothing of renyi entropy of order 2"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "equivocations exponents and second order coding rates under various r enyi information measures"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "tight exponential analysis of universally composable privacy amplification and its applications"
    - "secret key generation from gaussian sources using lattice hashing"
    - "non asymptotic analysis of privacy amplification via renyi entropy and inf spectral entropy"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "strongly secure communications over the two way wiretap channel"

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)