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 "comments on approximate characterizations for the gaussian source broadcast distortion region"):
  Abstract: Recently, Tian  et al.   [1]  considered joint source-channel coding of transmitting a Gaussian source over    $K$   -user Gaussian broadcast channel, and derived an outer bound on the admissible distortion region. In  [1] , they stated “due to its nonlinear form, it appears difficult to determine whether it is always looser than the trivial outer bound in all distortion regimes with bandwidth compression”. However, in this correspondence we solve this problem and prove that for the bandwidth expansion case (with    $K\geq 2$   ), this outer bound is strictly tighter than the trivial outer bound with each user being optimal in the point-to-point setting; while for the bandwidth compression or bandwidth match case, this outer bound actually degenerates to the trivial outer bound. Therefore, our results imply that on one hand, the outer bound given in  [1]  is nontrivial only for Gaussian broadcast communication (   $K\geq 2$   ) with bandwidth expansion; on the other hand, unfortunately, no nontrivial outer bound exists so far for Gaussian broadcast communication (   $K\geq 2$   ) with bandwidth compression.

Includes members:
  Member "distortion bounds for source broadcast over degraded channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint source channel secrecy using uncoded schemes towards secure source broadcast")
  Member "distortion bounds for source broadcast problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint source channel secrecy using uncoded schemes towards secure source broadcast")
  Member "outer bounds on the admissible source region for broadcast channels with correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a lower bound on the expected distortion of joint source channel coding")
  Member "approximate characterizations for the gaussian source broadcast distortion region":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distortion bounds for source broadcast over degraded channel")

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)