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 "repeat free codes"):
  Abstract: In this paper we consider the problem of encoding data into repeat-free sequences in which sequences are imposed to contain any $k$-tuple at most once (for predefined $k$). First, the capacity and redundancy of the repeat-free constraint are calculated. Then, an efficient algorithm, which uses a single bit of redundancy, is presented to encode length-$n$ sequences for $k=2+2\log (n)$. This algorithm is then improved to support any value of $k$ of the form $k=a\log (n)$, for $1<a$, while its redundancy is $o(n)$. We also calculate the capacity of repeat-free sequences when combined with local constraints which are given by a constrained system, and the capacity of multi-dimensional repeat-free codes.

Includes members:
  Member "mutually uncorrelated codes for dna storage":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reconstruction of strings from their substrings spectrum")
  Member "evolution of k mer frequencies and entropy in duplication and substitution mutation systems":
    also connected through other hyperedges:
      (none)
  Member "list decoding of insertions and deletions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimally resilient codes for list decoding from insertions and deletions")
  Member "bounds on codes correcting tandem and palindromic duplications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "uncertainty of reconstruction with list decoding from uniform tandem duplication noise")
  Member "rates of dna sequence profiles for practical values of read lengths":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the capacity of associated subsequence retrieval")
  Member "codes for dna sequence profiles":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mass error correction codes for polymer based data storage")
  Member "string reconstruction from substring compositions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "mass error correction codes for polymer based data storage")

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)