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: "the achievable distortion region of bivariate gaussian source on gaussian broadcast channel"
  Abstract: We provide a complete characterization of the achievable distortion region for the problem of sending a bivariate Gaussian source over bandwidth-matched Gaussian broadcast channels, where each receiver is interested in only one component of the source. This setting naturally generalizes the simple single Gaussian source bandwidth-matched broadcast problem for which the uncoded scheme is known to be optimal. We show that a hybrid scheme can achieve the optimum for the bivariate case, but neither an uncoded scheme alone nor a separation-based scheme alone is sufficient. We further show that in this joint source channel coding setting, the Gaussian setting is the worst scenario among the sources and channel noises with the same covariances.

Connected through hyperedge HE-1 (induced by source paper "distortion bounds for source broadcast over degraded channel"):
  with members:
    - "a source channel separation theorem with application to the source broadcast problem"
    - "comments on approximate characterizations for the gaussian source broadcast distortion region"
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "hybrid coding an interface for joint source channel coding and network communication"
    - "achievability proof via output statistics of random binning"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "wyner ziv coding over broadcast channels digital schemes"

Connected through hyperedge HE-2 (induced by source paper "hybrid coding an interface for joint source channel coding and network communication"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "on the separation of lossy source network coding and channel coding in wireline networks"
    - "communication to within a fidelity criterion over unknown networks by reduction to reliable communication problems over unknown networks"
    - "optimality and approximate optimality of source channel separation in networks"
    - "correlated sources over broadcast channels"
    - "wyner ziv coding over broadcast channels digital schemes"
    - "outer bounds on the admissible source region for broadcast channels with dependent sources"
    - "comments on broadcast channels with arbitrarily correlated sources"

Connected through hyperedge HE-3 (induced by source paper "on the minimum energy of sending gaussian multiterminal sources over the gaussian mac"):
  with members:
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-4 (induced by source paper "separate source channel coding for broadcasting correlated gaussians"):
  with members:
    - "hybrid coding for gaussian broadcast channels with gaussian sources"
    - "broadcasting correlated gaussians"

Connected through hyperedge HE-5 (induced by source paper "joint source channel coding with correlated interference"):
  with members:
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "hybrid coding for gaussian broadcast channels with gaussian sources"
    - "approximate characterizations for the gaussian source broadcast distortion region"
    - "joint source channel coding with side information using hybrid digital analog codes"
    - "broadcasting correlated gaussians"
    - "superimposed coded and uncoded transmissions of a gaussian source over the gaussian channel"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-6 (induced by source paper "broadcasting correlated gaussians"):
  with members:
    - "hybrid coding for gaussian broadcast channels with gaussian sources"
    - "sending a bivariate gaussian source over a gaussian mac with feedback"
    - "sending a bi variate gaussian source over a gaussian mac"
    - "sending a bi variate gaussian source over a gaussian mac"

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)