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 renyi divergence joint range of relative entropies and a channel coding theorem"
  Abstract: This paper starts by considering the minimization of the Renyi divergence subject to a constraint on the total variation distance. Based on the solution of this optimization problem, the exact locus of the points $\bigl( D(Q\|P_1), D(Q\|P_2) \bigr)$ is determined when $P_1, P_2, Q$ are arbitrary probability measures which are mutually absolutely continuous, and the total variation distance between $P_1$ and $P_2$ is not below a given value. It is further shown that all the points of this convex region are attained by probability measures which are defined on a binary alphabet. This characterization yields a geometric interpretation of the minimal Chernoff information subject to a constraint on the total variation distance. This paper also derives an exponential upper bound on the performance of binary linear block codes (or code ensembles) under maximum-likelihood decoding. Its derivation relies on the Gallager bounding technique, and it reproduces the Shulman-Feder bound as a special case. The bound is expressed in terms of the Renyi divergence from the normalized distance spectrum of the code (or the average distance spectrum of the ensemble) to the binomially distributed distance spectrum of the capacity-achieving ensemble of random block codes. This exponential bound provides a quantitative measure of the degradation in performance of binary linear block codes (or code ensembles) as a function of the deviation of their distance spectra from the binomial distribution. An efficient use of this bound is considered.

Connected through hyperedge HE-1 (induced by source paper "the renyi capacity and center"):
  with members:
    - "a strong converse bound for multiple hypothesis testing with applications to high dimensional estimation"
    - "the sphere packing bound for memoryless channels"
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "the sphere packing bound for dspcs with feedback a la augustin"
    - "the augustin capacity and center"
    - "the augustin center and the sphere packing bound for memoryless channels"
    - "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"
    - "on renyi entropy power inequalities"

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 smooth renyi entropy and variable length source coding allowing errors"
    - "encoding tasks and renyi entropy"

Connected through hyperedge HE-3 (induced by source paper "on f divergences integral representations local behavior and inequalities"):
  with members:
    - "a note on reverse pinsker inequalities"
    - "f divergence inequalities"
    - "f divergence inequalities via functional domination"
    - "e_ gamma resolvability"
    - "tight bounds for symmetric divergence measures and a refined bound for lossless source coding"
    - "dissipation of information in channels with input constraints"
    - "renyi divergence and kullback leibler divergence"
    - "on pinsker s and vajda s type inequalities for csiszar s f divergences"

Connected through hyperedge HE-4 (induced by source paper "wyner s common information under r enyi divergence measures"):
  with members:
    - "second order region for gray wyner network"
    - "exact random coding secrecy exponents for the wiretap channel"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"
    - "exponent function for source coding with side information at the decoder at rates below the rate distortion function"
    - "exact common information"
    - "renyi divergence and kullback leibler divergence"
    - "effective secrecy reliability confusion and stealth"

Connected through hyperedge HE-5 (induced by source paper "a variational characterization of r enyi divergences"):
  with members:
    - "brascamp lieb inequality and its reverse an information theoretic view"
    - "a note on a characterization of renyi measures and its relation to composite hypothesis testing"

Connected through hyperedge HE-6 (induced by source paper "f divergence inequalities"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "optimal quantization for distribution synthesis"
    - "e_ gamma resolvability"
    - "bounds between contraction coefficients"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "refinement of some moment inequalities"
    - "resolvability in e γ with applications to lossy compression and wiretap channels"
    - "tight bounds for symmetric divergence measures and a refined bound for lossless source coding"

Connected through hyperedge HE-7 (induced by source paper "generalized entropy concentration for counts"):
  with members:
    - "explicit bounds for entropy concentration under linear constraints"
    - "entropy bounds for discrete random variables via maximal coupling"
    - "analytical forms for most likely matrices derived from incomplete information"
    - "entropy concentration and the empirical coding game"

Connected through hyperedge HE-8 (induced by source paper "bounds among f divergences"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "f divergence inequalities"
    - "optimal quantization for distribution synthesis"
    - "on the r e nyi divergence and the joint range of relative entropies"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "resolvability in e γ with applications to lossy compression and wiretap channels"
    - "tight bounds for symmetric divergence measures and a refined bound for lossless source coding"
    - "concentration of measure inequalities and their communication and information theoretic applications"

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)