human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "state leakage and coordination of actions core of the receiver s knowledge"):
  Abstract: We revisit the problems of state masking and state amplification through the lens of empirical coordination by considering a state-dependent channel in which the encoder has causal and strictly causal state knowledge. We show that the problem of empirical coordination provides a natural framework in which to jointly study the problems of reliable communication, state masking, and state amplification. We characterize the regions of rate-equivocation-coordination trade-offs for several channel models with causal and strictly causal state knowledge. We introduce the notion of "core of the receiver's knowledge" to capture what the decoder can infer about all the signals involved in the model. We exploit this result to solve a channel state estimation zero-sum game in which the encoder prevents the decoder to estimate the channel state accurately.

Includes members:
  Member "information theoretic approach to strategic communication as a hierarchical game":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic information design a simple problem on optimal sequential information disclosure")
  Member "coordination in distributed networks via coded actions with application to power control":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "empirical coordination with channel feedback and strictly causal or causal encoding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coordination through shared randomness")
  Member "correlation between channel state and information source with empirical coordination constraint":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coordination through shared randomness")
  Member "rate distortion theory for secrecy systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "privacy aware distributed hypothesis testing")
  Member "causal state communication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "communication over random parameter quantum channels with parameter estimation")
  Member "hybrid codes needed for coordination over the point to point channel":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "strategic communication with side information at the decoder")
  Member "coordination using implicit communication":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "strategic communication with side information at the decoder")

Question: Please tell me which class the source paper 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)