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: "distributed and cascade lossy source coding with a side information vending machine"
  Abstract: Source coding with a side information "vending machine" is a recently proposed framework in which the statistical relationship between the side information and the source, instead of being given and fixed as in the classical Wyner-Ziv problem, can be controlled by the decoder. This control action is selected by the decoder based on the message encoded by the source node. Unlike conventional settings, the message can thus carry not only information about the source to be reproduced at the decoder, but also control information aimed at improving the quality of the side information. In this paper, the analysis of the trade-offs between rate, distortion and cost associated with the control actions is extended from the previously studied point-to-point set-up to two basic multiterminal models. First, a distributed source coding model is studied, in which two encoders communicate over rate-limited links to a decoder, whose side information can be controlled. The control actions are selected by the decoder based on the messages encoded by both source nodes. For this set-up, inner bounds are derived on the rate-distortion-cost region for both cases in which the side information is available causally and non-causally at the decoder. These bounds are shown to be tight under specific assumptions, including the scenario in which the sequence observed by one of the nodes is a function of the source observed by the other and the side information is available causally at the decoder. Then, a cascade scenario in which three nodes are connected in a cascade and the last node has controllable side information, is also investigated. For this model, the rate-distortion-cost region is derived for general distortion requirements and under the assumption of causal availability of side information at the last node.

Connected through hyperedge HE-1 (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"
    - "action dependent strictly causal state communication"
    - "robust coding for lossy computing with receiver side observation costs"
    - "two way source coding with a helper"
    - "duality between channel capacity and rate distortion with two sided state information"

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"
    - "on channels with action dependent states"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "two way communication with adaptive data acquisition"):
  with members:
    - "coding with action dependent side information and additional reconstruction requirements"
    - "cascade source coding with a side information vending machine"
    - "compression with actions"
    - "multi terminal source coding with action dependent side information"
    - "robust coding for lossy computing with receiver side observation costs"
    - "source coding with a side information vending machine"
    - "two way source coding with a helper"

Connected through hyperedge HE-4 (induced by source paper "on cascade source coding with a side information vending machine"):
  with members:
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "cascade source coding with a side information vending machine"
    - "multi terminal source coding with action dependent side information"
    - "robust coding for lossy computing with receiver side observation costs"
    - "cascade triangular and two way source coding with degraded side information at the second user"
    - "source coding with a side information vending machine"

Connected through hyperedge HE-5 (induced by source paper "cascade source coding with a side information vending machine"):
  with members:
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "compression with actions"
    - "multi terminal source coding with action dependent side information"
    - "robust coding for lossy computing with receiver side observation costs"
    - "cascade triangular and two way source coding with degraded side information at the second user"

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)