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 "improving the redundancy of the knuth balancing scheme for packet transmission systems"):
  Abstract: A simple scheme was proposed by Knuth to generate balanced codewords from a random binary in- formation sequence. However, this method presents a redundancy which is twice that of the full sets of bal- anced codewords, that is the minimal achievable redun- dancy. The gap between the Knuth's algorithm gen- erated redundancy and the minimal one is significant and can be reduced. This paper attempts to achieve this goal through a method based on information se- quence candidates. The proposed scheme is suitable for various communication systems as it generates very ef- ?cient and less redundant balanced codes.

Includes members:
  Member "construction of q ary constant weight sequences using a knuth like approach":
    also connected through other hyperedges:
      (none)
  Member "a construction for balancing non binary sequences based on gray code prefixes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient flicker free fec codes using knuth s balancing algorithm for vlc")

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)