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: "augustin s method part ii the sphere packing bound"
  Abstract: The channel coding problem is reviewed for an abstract framework. If the scaled Renyi capacities of a sequence of channels converge to a finite continuous function $\varphi$ on an interval of the form $(1-\varepsilon,1]$ for an $\varepsilon>0$, then the capacity of the sequence of channels is $\varphi(1)$. If the convergence holds on an interval of the form $(1-\varepsilon,1+\varepsilon)$ then the strong converse holds. Both hypotheses hold for large classes of product channels and for certain memoryless Poisson channels. A sphere packing bound with a polynomial prefactor is established for the decay rate of the error probability with the block length on any sequence of product channels $\{\mathcal{W}_{[1,n]}\}_{n\in\mathbb{Z}^{+}}$ satisfying $\max_{t\leq n} C_{0.5,\mathcal{W}_{t}}=\mathit{O}(\ln n)$. For discrete stationary product channels with feedback sphere packing exponent is proved to bound the exponential decay rate of the error probability with block length from above. The latter result continues to hold for product channels with feedback satisfying a milder stationarity hypothesis. A sphere packing bound with a polynomial prefactor is established for certain memoryless Poisson channels.

Connected through hyperedge HE-1 (induced by source paper "the augustin center and the sphere packing bound for memoryless channels"):
  with members:
    - "the renyi capacity and center"
    - "the sphere packing bound via augustin s method"
    - "augustin s method part i the renyi center"
    - "renyi divergence and kullback leibler divergence"
    - "refinement of the sphere packing bound asymmetric channels"

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)