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 "fast construction of polar codes"):
  Abstract: The construction of polar codes for channels other than BECs requires sorting of all bit channels and then selecting the best $K$ of them for a block length $N=2^n$. The sorting algorithms, be it density evolution or Tal-Vardy's algorithm, typically require intense computations. In this paper, two types of partial orders (PO) of polar codes are incorporated in the construction process to decrease the required computations. Three sets, corresponding to the good bit channels ($\mathcal{I}$), the frozen bit channels ($\mathcal{F}$), and the undetermined bit channels ($\mathcal{U}$), are selected by applying PO relations. A new process, called Dimension Reduction (DR), is proposed in this paper to further reduce the size of $\mathcal{U}$. Our studies show that for $N=10$ and the code rate $R=0.5$ (being the worst code rate), incorporating PO relations alone can determine 50\% of the bit channels ($|\mathcal{I}| + |\mathcal{F}| \approx N/2$), resulting in only 50\% of the sorting calculations. With our proposed DR, this number of the determined bit channels goes up to 75\%, which brings a significant reduction of computations in the construction of polar codes.

Includes members:
  Member "a novel partial order for the information sets of polar codes over b dmcs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the fractality of polar and reed muller codes")
  Member "performance and construction of polar codes on symmetric binary input memoryless channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "polar codes and their quantum domain counterparts")

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)