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 "on zero delay rdf for vector valued gauss markov sources with additional noise"):
  Abstract: We consider a zero-delay remote source coding problem where a hidden source modeled as time-invariant multidimensional Gauss-Markov process is partially observed through an encoder whereas the performance criterion is the mean squared-error (MSE) distortion between the hidden process and the reconstructed process. For this setup, we characterize a converse bound on the long term expected length of all instantaneous codes. This characterization is used to derive a closed form expression for stationary scalar-valued Gaussian processes which is well-defined only for a specific range of values of the distortion region. The obtained analytical solution is utilized to compute the rate-loss (RL) gap from the well-studied special case of ``fully observable'' scalar-valued Gauss-Markov processes obtained in [1, Eq. (1.43)] and to draw connections to existing results in the literature.

Includes members:
  Member "zero delay rate distortion via filtering for vector valued gaussian sources":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a converse bound characterization on zero delay indirect rdf for vector gauss markov sources")
  Member "optimal estimation via nonanticipative rate distortion function and applications to time varying gauss markov processes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a converse bound characterization on zero delay indirect rdf for vector gauss markov sources")
  Member "indirect rate distortion function of a binary i i d source":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fundamental distortion limits of analog to digital compression")
  Member "directed information on abstract spaces properties and variational equalities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a converse bound characterization on zero delay indirect rdf for vector gauss markov sources")
  Member "internet of things iot a vision architectural elements and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "neuromemristive circuits for edge computing a review")
  Member "improved upper bounds to the causal quadratic rate distortion function for gaussian stationary sources":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a converse bound characterization on zero delay indirect rdf for vector gauss markov sources")

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)