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 "two remarks on generalized entropy power inequalities"):
  Abstract: This note contributes to the understanding of generalized entropy power inequalities. Our main goal is to construct a counter-example regarding monotonicity and entropy comparison of weighted sums of independent identically distributed log-concave random variables. We also present a complex analogue of a recent dependent entropy power inequality of Hao and Jog, and give a very simple proof.

Includes members:
  Member "an entropy inequality for symmetric random variables":
    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 "entropy bounds on abelian groups and the ruzsa divergence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "countably infinite multilevel source polarization for non stationary erasure distributions")
  Member "beyond the entropy power inequality via rearrangements":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "remarks on the r e nyi entropy of a sum of iid random variables")
  Member "sumset and inverse sumset inequalities for differential entropy and mutual information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "countably infinite multilevel source polarization for non stationary erasure distributions")
  Member "generalized entropy power inequalities and monotonicity properties of information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "dual loomis whitney inequalities via information theory")

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)