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: "on channels with action dependent states"
  Abstract: Action-dependent channels model scenarios in which transmission takes place in two successive phases. In the first phase, the encoder selects an "action" sequence, with the twofold aim of conveying information to the receiver and of affecting in a desired way the state of the channel to be used in the second phase. In the second phase, communication takes place in the presence the mentioned action-dependent state. In this work, two extensions of the original action-dependent channel are studied. In the first, the decoder is interested in estimating not only the message, but also the state sequence within an average per-letter distortion. Under the constraint of common knowledge (i.e., the decoder's estimate of the state must be recoverable also at the encoder) and assuming non-causal state knowledge at the encoder in the second phase, we obtain a single-letter characterization of the achievable rate-distortion-cost trade-off. In the second extension, we study an action-dependent degraded broadcast channel. Under the assumption that the encoder knows the state sequence causally in the second phase, the capacity-cost region is identified. Various examples, including Gaussian channels and a model with a "probing" encoder, are also provided to show the advantage of a proper joint design of the two communication phases.

Connected through hyperedge HE-1 (induced by source paper "energy harvesting communications under explicit and implicit temperature constraints"):
  with members:
    - "energy harvesting transmitters that heat up throughput maximization under temperature constraints"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "iterative dynamic water filling for fading multiple access channels with energy harvesting"
    - "energy harvesting two hop communication networks"
    - "energy harvesting broadband communication systems with processing energy cost"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "broadcasting with an energy harvesting rechargeable transmitter"

Connected through hyperedge HE-2 (induced by source paper "information embedding on actions"):
  with members:
    - "successive refinement with decoder cooperation and its channel coding duals"
    - "on cascade source coding with a side information vending machine"
    - "cascade source coding with a side information vending machine"
    - "compression with actions"
    - "on real time coding with limited lookahead"
    - "multi terminal source coding with action dependent side information"
    - "coordination using implicit communication"
    - "distributed and cascade lossy source coding with a side information vending machine"

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)