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: "generalized fano type inequality for countably infinite systems with list decoding"
  Abstract: This study investigates generalized Fano-type inequalities in the following senses: (i) the alphabet $\mathcal{X}$ of a random variable $X$ is countably infinite; (ii) instead of a fixed finite cardinality of $\mathcal{X}$, a fixed $X$-marginal distribution $P_{X}$ is given; (iii) information measures are generalized from the conditional Shannon entropy $H(X \mid Y)$ to a general type of conditional information measures without explicit form; and (iv) the average probability of decoding error is defined on list-decoding settings. As a result, we give tight upper bounds on such generalized conditional information measures for a fixed $X$-marginal, a fixed list size, and a fixed tolerated probability of error. Then, we also clarify a sufficient condition, which the Fano-type inequality is sharp, on the cardinality of the alphabet $\mathcal{Y}$ of a side information $Y$. Resulting Fano-type inequalities can apply to not only the conditional Shannon entropy but also the Arimoto's and Hayashi's conditional R\'{e}nyi entropies, $\alpha$-mutual information, and so on.

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)