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: "optimal prefix codes for infinite alphabets with nonlinear costs"
  Abstract: Let P={p(i)} be a measure of strictly positive probabilities on the set of nonnegative integers. Although the countable number of inputs prevents usage of the Huffman algorithm, there are nontrivial P for which known methods find a source code that is optimal in the sense of minimizing expected codeword length. For some applications, however, a source code should instead minimize one of a family of nonlinear objective functions, beta-exponential means, those of the form loga Sigmaip(i)an(i), where n(i) is the length of the ith codeword and a is a positive constant. Applications of such minimizations include a novel problem of maximizing the chance of message receipt in single-shot communications (a 1). This paper introduces methods for finding codes optimal for such exponential means. One method applies to geometric distributions, while another applies to distributions with lighter tails. The latter algorithm is applied to Poisson distributions and both are extended to alphabetic codes, as well as to minimizing maximum pointwise redundancy. The aforementioned application of minimizing the chance of buffer overflow is also considered.

Connected through hyperedge HE-1 (induced by source paper "lossless source codes for a class described by variational distance and optimal merging algorithm"):
  with members:
    - "tight bounds on minimum maximum pointwise redundancy"
    - "a general framework for codes involving redundancy minimization"

Connected through hyperedge HE-2 (induced by source paper "optimal merging algorithms for lossless codes with generalized criteria"):
  with members:
    - "lossless coding with generalised criteria"
    - "tight bounds on minimum maximum pointwise redundancy"
    - "a general framework for codes involving redundancy minimization"

Connected through hyperedge HE-3 (induced by source paper "tight bounds on minimum maximum pointwise redundancy"):
  with members:
    - "a general framework for codes involving redundancy minimization"
    - "renyi to renyi source coding under siege"

Connected through hyperedge HE-4 (induced by source paper "alphabetic coding with exponential costs"):
  with members:
    - "a general framework for codes involving redundancy minimization"
    - "source coding for quasiarithmetic penalties"
    - "renyi to renyi source coding under siege"

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)