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: "correlation between channel state and information source with empirical coordination constraint"
  Abstract: Correlation between channel state and source symbol is under investigation for a joint source-channel coding problem. We investigate simultaneously the lossless transmission of information and the empirical coordination of channel inputs with the symbols of source and states. Empirical coordination is achievable if the sequences of source symbols, channel states, channel inputs and channel outputs are jointly typical for a target joint probability distribution. We characterize the joint distributions that are achievable under lossless decoding constraint. The performance of the coordination is evaluated by an objective function. For example, we determine the minimal distortion between symbols of source and channel inputs for lossless decoding. We show that the correlation source/channel state improves the feasibility of the transmission.

Connected through hyperedge HE-1 (induced by source paper "coordination through shared randomness"):
  with members:
    - "communication for generating correlation a survey"
    - "on the optimality of secret key agreement via omniscience"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"

Connected through hyperedge HE-2 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information"):
  with members:
    - "persuasion with limited communication capacity"
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "joint coordination channel coding for strong coordination over noisy channels based on polar codes"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "secure cascade channel synthesis"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"

Connected through hyperedge HE-3 (induced by source paper "state leakage and coordination of actions core of the receiver s knowledge"):
  with members:
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "rate distortion theory for secrecy systems"
    - "causal state communication"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"

Connected through hyperedge HE-4 (induced by source paper "information design for strategic coordination of autonomous devices with non aligned utilities"):
  with members:
    - "on the role of side information in strategic communication"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "rate distortion theory for secrecy systems"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-5 (induced by source paper "polar coding for empirical coordination of signals and actions over noisy channels"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination for joint source channel coding"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "coded power control performance analysis"
    - "polar coding for secret key generation"
    - "universal polar codes"
    - "strong coordination with polar codes"

Connected through hyperedge HE-6 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "coordination in state dependent distributed networks the two agent case"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "coordination via a relay"

Connected through hyperedge HE-7 (induced by source paper "empirical coordination with two sided state information and correlated source and state"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "joint empirical coordination of source and channel"
    - "coded power control performance analysis"
    - "causal state communication"
    - "strong coordination with polar codes"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"

Connected through hyperedge HE-8 (induced by source paper "empirical coordination with channel feedback and strictly causal or causal encoding"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination in a triangular multiterminal network"
    - "strong coordination with polar codes"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"
    - "an achievable rate region for the broadcast wiretap channel with asymmetric side 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)