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: "a decision aided parallel sc list decoder for polar codes"
  Abstract: In this paper, we propose a decision-aided scheme for parallel SC-List decoding of polar codes. At the parallel SC-List decoder, each survival path is extended based on multiple information bits, therefore the number of split paths becomes very large and the sorting to find the top L paths becomes very complex. We propose a decision-aided scheme to reduce the number of split paths and thus reduce the sorting complexity.

Connected through hyperedge HE-1 (induced by source paper "an asymmetric adaptive scl decoder hardware for ultra low error rate polar codes"):
  with members:
    - "parity check polar coding for 5g and beyond"
    - "a 5 16gbps decoder asic for polar code in 16nm finfet"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "a high throughput list decoder architecture for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "an efficient list decoder architecture for polar codes"
    - "an adaptive successive cancellation list decoder for polar codes with cyclic redundancy check"

Connected through hyperedge HE-2 (induced by source paper "a flip syndrome list polar decoder architecture for ultra low latency communications"):
  with members:
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "beta expansion a theoretical framework for fast and recursive construction of polar codes"
    - "a split reduced successive cancellation list decoder for polar codes"
    - "fast list decoders for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "low latency list decoding of polar codes with double thresholding"
    - "fast polar decoders algorithm and implementation"
    - "an efficient list decoder architecture for polar codes"

Connected through hyperedge HE-3 (induced by source paper "a 5 16gbps decoder asic for polar code in 16nm finfet"):
  with members:
    - "parity check polar coding for 5g and beyond"
    - "polarbear a 28 nm fd soi asic for decoding of polar codes"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "a high throughput list decoder architecture for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "an efficient list decoder architecture for polar codes"

Connected through hyperedge HE-4 (induced by source paper "combining belief propagation and successive cancellation list decoding of polar codes on a gpu platform"):
  with members:
    - "low latency software polar decoders"
    - "algorithm and architecture for hybrid decoding of polar codes"
    - "list decoding of polar codes"
    - "an adaptive successive cancellation list decoder for polar codes with cyclic redundancy check"
    - "how to construct polar codes"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input 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.IT(Information Theory)