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 "shaped on off keying using polar codes"):
  Abstract: The probabilistic shaping scheme from Honda and Yamamoto (2013) for polar codes is used to enable power-efficient signaling for on-off keying (OOK). As OOK has a non-symmetric optimal input distribution, shaping approaches that are based on the concatenation of a distribution matcher followed by systematic encoding do not result in optimal signaling. Instead, these approaches represent a time sharing scheme where only a fraction of the codeword symbols is shaped. The proposed scheme uses a polar code for joint distribution matching and forward error correction which enables asymptotically optimal signaling. Numerical simulations show a gain of 1.8 dB compared to uniform transmission at a spectral efficiency of 0.25 bits/channel use for a blocklength of 65,536 bits.

Includes members:
  Member "probabilistic parity shaping for linear codes":
    also connected through other hyperedges:
      (none)
  Member "protograph based ldpc code design for probabilistic shaping with on off keying":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "probabilistic parity shaping for linear codes")
  Member "polar coded pulse position modulation for the poisson channel":
    also connected through other hyperedges:
      (none)
  Member "divergence scaling of fixed length binary output one to one distribution matching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "arithmetic coding based multi composition codes for bit level distribution matching")
  Member "code design for short blocks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "decoder tailored polar code design using the genetic algorithm")
  Member "constant composition distribution matching":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rate constrained shaping codes for structured sources")
  Member "how to achieve the capacity of asymmetric channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "explicit codes for the wiretap channel a unified design framework")
  Member "list decoding of polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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)