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: "multiple description lattice vector quantization"
  Abstract: In this thesis, we construct and analyze multiple-description codes based on lattice vector quantization.

Connected through hyperedge HE-1 (induced by source paper "n channel asymmetric entropy constrained multiple description lattice vector quantization"):
  with members:
    - "approximating the gaussian multiple description rate region under symmetric distortion constraints"
    - "lattices for distributed source coding jointly gaussian sources and reconstruction of a linear function"
    - "multiple description coding by dithered delta sigma quantization"
    - "n channel entropy constrained multiple description lattice vector quantization"
    - "multiple description quantization via gram schmidt orthogonalization"
    - "vector gaussian multiple description with individual and central receivers"
    - "index assignment for multichannel communication under failure"

Connected through hyperedge HE-2 (induced by source paper "lattices for distributed source coding jointly gaussian sources and reconstruction of a linear function"):
  with members:
    - "distributed source coding of correlated gaussian remote sources"
    - "the gaussian many help one distributed source coding problem"
    - "unified theory of source coding part ii multiterminal problems"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-3 (induced by source paper "multiple description coding by dithered delta sigma quantization"):
  with members:
    - "achieving the gaussian rate distortion function by prediction"
    - "n channel entropy constrained multiple description lattice vector quantization"
    - "multiple description quantization via gram schmidt orthogonalization"
    - "n channel asymmetric multiple description lattice vector quantization"

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)