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 "sharp moment entropy inequalities and capacity bounds for log concave distributions"):
  Abstract: We show that the uniform distribution minimises entropy among all symmetric log-concave distributions with fixed variance. We construct a counter-example regarding monotonicity and entropy comparison of weighted sums of independent identically distributed log-concave random variables.

Includes members:
  Member "two remarks on generalized entropy power inequalities":
    also connected through other hyperedges:
      (none)
  Member "bounds on variance for unimodal distributions":
    also connected through other hyperedges:
      (none)
  Member "forward and reverse entropy power inequalities in convex geometry":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "transportation proofs of r enyi entropy power inequalities")
  Member "on the entropy power inequality for the r enyi entropy of order 0 1":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "variants of the entropy power inequality")
  Member "entropy bounds on abelian groups and the ruzsa divergence":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "countably infinite multilevel source polarization for non stationary erasure distributions")
  Member "minimization problems based on relative alpha entropy i forward projection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "generalized bayesian cramer rao inequality via information geometry of relative alpha entropy")
  Member "the entropy per coordinate of a random vector is highly constrained under convexity conditions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "constrained functional value under general convexity conditions with applications to distributed simulation")

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)