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 "empirical coordination with channel feedback and strictly causal or causal encoding"):
  Abstract: In multi-terminal networks, feedback increases the capacity region and helps communication devices to coordinate. In this article, we deepen the relationship between coordination and feedback by considering a point-to-point scenario with an information source and a noisy channel. Empirical coordination is achievable if the encoder and the decoder can implement sequences of symbols that are jointly typical for a target probability distribution. We investigate the impact of feedback when the encoder has strictly causal or causal observation of the source symbols. For both cases, we characterize the optimal information constraints and we show that feedback improves coordination possibilities. Surprisingly, feedback also reduces the number of auxiliary random variables and simplifies the information constraints. For empirical coordination with strictly causal encoding and feedback, the information constraint does not involve auxiliary random variable anymore.

Includes members:
  Member "coordination in distributed networks via coded actions with application to power control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "empirical coordination with two sided state information and correlated source and state":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "strategic communication with side information at the decoder")
  Member "correlation between channel state and information source with empirical coordination constraint":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coordination through shared randomness")
  Member "empirical coordination in a triangular multiterminal network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "empirical coordination subject to a fidelity criterion")
  Member "strong coordination with polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information")
  Member "hybrid codes needed for coordination over the point to point channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "strategic communication with side information at the decoder")
  Member "coordination using implicit communication":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "strategic communication with side information at the decoder")
  Member "an achievable rate region for the broadcast wiretap channel with asymmetric side information":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "information design for strategic coordination of autonomous devices with non aligned utilities")

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)