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: "sequential empirical coordination under an output entropy constraint"
  Abstract: This paper considers the problem of sequential empirical coordination, where the objective is to achieve a given value of the expected uniform deviation between state-action empirical averages and statistical expectations under a given strategic probability measure, with respect to a given universal Glivenko-Cantelli class of test functions. A communication constraint is imposed on the Shannon entropy of the resulting action sequence. It is shown that the fundamental limit on the output entropy is given by the minimum of the mutual information between the state and the action processes under all strategic measures that have the same marginal state process as the target measure and approximate the target measure to desired accuracy with respect to the underlying Glivenko-Cantelli seminorm. The fundamental limit is shown to be asymptotically achievable by tree-structured codes.

Connected through hyperedge HE-1 (induced by source paper "a lower bound on the expected distortion of joint source channel coding"):
  with members:
    - "a source channel separation theorem with application to the source broadcast problem"
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "quasi static multiple antenna fading channels at finite blocklength"
    - "moderate deviations in channel coding"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "the dispersion of joint source channel coding"

Connected through hyperedge HE-2 (induced by source paper "empirical coordination with multiple descriptions"):
  with members:
    - "empirical coordination subject to a fidelity criterion"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "combinatorial message sharing and a new achievable region for multiple descriptions"
    - "empirical coordination in a triangular multiterminal network"

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)