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: "partial sums generation architecture for successive cancellation decoding of polar codes"
  Abstract: Polar codes are a new family of error correction codes for which efficient hardware architectures have to be defined for the encoder and the decoder. Polar codes are decoded using the successive cancellation decoding algorithm that includes partial sums computations. We take advantage of the recursive structure of polar codes to introduce an efficient partial sums computation unit that can also implements the encoder. The proposed architecture is synthesized for several code-lengths in 65nm ASIC technology. The area of the resulting design is reduced up to 26% and the maximum working frequency is improved by 25%.

Connected through hyperedge HE-1 (induced by source paper "an efficient partial sums generator for constituent code based successive cancellation decoding of polar codes"):
  with members:
    - "overlapped list successive cancellation approach for hardware efficient polar code decoder"
    - "tc throughput centric successive cancellation decoder hardware implementation for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "a hybrid partial sum computation unit architecture for list decoders of polar codes"
    - "xj bp express journey belief propagation decoding for polar codes"
    - "fast polar decoders algorithm and implementation"
    - "list decoding of polar codes"

Connected through hyperedge HE-2 (induced by source paper "partial sums computation in polar codes decoding"):
  with members:
    - "fast polar decoders algorithm and implementation"
    - "hardware architectures for successive cancellation decoding of polar codes"
    - "polarization for arbitrary discrete memoryless channels"

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.AR(Hardware Architecture)