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: "towards robustness in residue number systems"
  Abstract: The problem of robustly reconstructing a large number from its erroneous remainders with respect to several moduli, namely the robust remaindering problem, may occur in many applications including phase unwrapping, frequency detection from several undersampled waveforms, wireless sensor networks, etc. Assuming that the dynamic range of the large number is the maximal possible one, i.e., the least common multiple (lcm) of all the moduli, a method called robust Chinese remainder theorem for solving the robust remaindering problem has been recently proposed. In this paper, by relaxing the assumption that the dynamic range is fixed to be the lcm of all the moduli, a tradeoff between the dynamic range and the robustness bound for two-modular systems is studied. It basically says that a decrease in the dynamic range may lead to an increase of the robustness bound. We first obtain a general condition on the remainder errors and derive the exact dynamic range with a closed-form formula for the robustness to hold. We then propose simple closed-form reconstruction algorithms. Furthermore, the newly obtained two-modular results are applied to the robust reconstruction for multimodular systems and generalized to real numbers. Finally, some simulations are carried out to verify our proposed theoretical results.

Connected through hyperedge HE-1 (induced by source paper "exact and robust reconstruction of integer vectors based on multidimensional chinese remainder theorem md crt"):
  with members:
    - "on solving ambiguity resolution with robust chinese remainder theorem for multiple numbers"
    - "selecting wavelengths for least squares range estimation"
    - "a robust generalized chinese remainder theorem for two integers"
    - "multi stage robust chinese remainder theorem"
    - "on solving a generalized chinese remainder theorem in the presence of remainder errors"

Connected through hyperedge HE-2 (induced by source paper "on solving ambiguity resolution with robust chinese remainder theorem for multiple numbers"):
  with members:
    - "performance of ml range estimator in radio interferometric positioning systems"
    - "multi stage robust chinese remainder theorem"

Connected through hyperedge HE-3 (induced by source paper "robust polynomial reconstruction via chinese remainder theorem in the presence of small degree residue errors"):
  with members:
    - "error correction in polynomial remainder codes with non pairwise coprime moduli and robust chinese remainder theorem for polynomials"
    - "on polynomial remainder codes"
    - "crt based high speed parallel architecture for long bch encoding"

Connected through hyperedge HE-4 (induced by source paper "robustness in chinese remainder theorem"):
  with members:
    - "a robust generalized chinese remainder theorem for two integers"
    - "multi stage robust chinese remainder theorem"
    - "on solving a generalized chinese remainder theorem in the presence of remainder errors"

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)