human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the r e nyi divergence and the joint range of relative entropies"):
  Abstract: This paper starts with a study of the minimum of the R\'{e}nyi divergence subject to a fixed (or minimal) value of the total variation distance. Relying on the solution of this minimization problem, we determine the exact region of the points $\bigl( D(Q||P_1), D(Q||P_2) \bigr)$ where $P_1$ and $P_2$ are any probability distributions whose total variation distance is not below a fixed value, and the probability distribution $Q$ is arbitrary (none of these three distributions is assumed to be fixed). It is further shown that all the points of this convex region are attained by a triple of 2-element probability distributions. As a byproduct of this characterization, we provide a geometric interpretation of the minimal Chernoff information subject to a minimal total variation distance. Finally, as a separate issue, a new exponential upper bound on the block error probability of ML decoded binary linear block codes is introduced. Its error exponent depends on the R\'{e}nyi divergence (of orders above 1), used for quantifying the degradation in performance of block codes in terms of the deviation of their distance spectra from the binomial distribution.

Includes members:
  Member "tight bounds for symmetric divergence measures and a refined bound for lossless source coding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "limits of deepfake detection a robust estimation viewpoint")
  Member "information theoretic applications of the logarithmic probability comparison bound":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "information theoretic perspectives on brascamp lieb inequality and its reverse")
  Member "minimization problems based on a parametric family of relative entropies ii reverse projection":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "minimization problems based on relative alpha entropy i forward projection")
  Member "on pairs of f divergences and their joint range":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a better bound gives a hundred rounds enhanced privacy guarantees via f divergences")
  Member "a note on a characterization of renyi measures and its relation to composite hypothesis testing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the augustin capacity and center")
  Member "guessing under source uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "generalized bayesian cramer rao inequality via information geometry of relative alpha entropy")
  Member "tightened upper bounds on the ml decoding error probability of binary linear block codes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "bp led decoding algorithm for ldpc codes over awgn channels")

Question: Please tell me which class the source paper 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)