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 an inequality of karlin and rinott concerning weighted sums of i i d random variables"
  Abstract: We present an entropy comparison result concerning weighted sums of independent and identically distributed random variables.

Connected through hyperedge HE-1 (induced by source paper "forward and reverse entropy power inequalities in convex geometry"):
  with members:
    - "wasserstein stability of the entropy power inequality for log concave densities"
    - "on renyi entropy power inequalities"
    - "strengthening the entropy power inequality"
    - "variants of the entropy power inequality"
    - "entropy bounds on abelian groups and the ruzsa divergence"
    - "entropies of weighted sums in cyclic groups and an application to polar codes"
    - "beyond the entropy power inequality via rearrangements"
    - "a strengthened entropy power inequality for log concave densities"

Connected through hyperedge HE-2 (induced by source paper "entropy bounds on abelian groups and the ruzsa divergence"):
  with members:
    - "forward and reverse entropy power inequalities in convex geometry"
    - "degrees of freedom in vector interference channels"
    - "characterizing degrees of freedom through additive combinatorics"
    - "entropies of weighted sums in cyclic groups and an application to polar codes"
    - "beyond the entropy power inequality via rearrangements"
    - "sumset and inverse sumset inequalities for differential entropy and mutual information"
    - "a new entropy power inequality for integer valued random variables"
    - "entropy and set cardinality inequalities for partition determined functions"

Connected through hyperedge HE-3 (induced by source paper "a colonel blotto gladiator game"):
  with members:
    - "proof of the outage probability conjecture for miso channels"

Connected through hyperedge HE-4 (induced by source paper "the entropy per coordinate of a random vector is highly constrained under convexity conditions"):
  with members:
    - "an entropic view of pickands theorem"
    - "on the entropy and log concavity of compound poisson measures"

Connected through hyperedge HE-5 (induced by source paper "monotonic convergence in an information theoretic law of small numbers"):
  with members:
    - "thinning entropy and the law of thin numbers"
    - "concavity of entropy under thinning"
    - "on the entropy and log concavity of compound poisson measures"
    - "generalized entropy power inequalities and monotonicity properties of information"

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)