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: "action dependent strictly causal state communication"
  Abstract: The problem of communication and state estimation is considered in the context of channels with actiondependent states. Given the message to be communicated, the transmitter chooses an action sequence that affects the formation of the channel states, and then creates the channel input sequence based on the state sequence. The decoder estimates the channel to some distortion as well as decodes the message. The capacity-distortion tradeoff of such a channel is characterized for the case when the state information is available strictly causally at the channel encoder. The problem setting extends the action dependent framework of [1] and as a special case recovers the results of few previously considered joint communication and estimation scenarios in [2], [3], [4]. The scenario when the action is also allowed to depend on the past observed states (adaptive action) is also considered. It is shown that such adaptive action yields an improved capacity-distortion function.

Connected through hyperedge HE-1 (induced by source paper "coordination in distributed networks via coded actions with application to power control"):
  with members:
    - "a cross layer approach for distributed energy efficient power control in interference networks"
    - "coded power control performance analysis"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "strong coordination with polar codes"
    - "coordination via a relay"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-2 (induced by source paper "coding with action dependent side information and additional reconstruction requirements"):
  with members:
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "information embedding on actions"
    - "compression with actions"
    - "mac with action dependent state information at one encoder"
    - "robust coding for lossy computing with receiver side observation costs"
    - "distributed and cascade lossy source coding with a side information vending machine"
    - "two way source coding with a helper"
    - "duality between channel capacity and rate distortion with two sided state information"

Connected through hyperedge HE-3 (induced by source paper "on channels with action dependent states"):
  with members:
    - "coding with action dependent side information and additional reconstruction requirements"

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)