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 "on prefix normal words and prefix normal forms"):
  Abstract: Abstract   A 1-prefix normal word is a binary word with the property that no factor has more 1s than the prefix of the same length; a 0-prefix normal word is defined analogously. These words arise in the context of indexed binary jumbled pattern matching, where the aim is to decide whether a word has a factor with a given number of 1s and 0s (a given Parikh vector). Each binary word has an associated set of Parikh vectors of the factors of the word. Using prefix normal words, we provide a characterization of the equivalence class of binary words having the same set of Parikh vectors of their factors.  We prove that the language of prefix normal words is not context-free and is strictly contained in the language of pre-necklaces, which are prefixes of powers of Lyndon words. We give enumeration results on    pnw   (  n  )  , the number of prefix normal words of length  n , showing that, for sufficiently large  n ,       2    n  −  4    n  lg  ⁡  n      ≤   pnw   (  n  )  ≤    2    n  −  lg  ⁡  n  +  1    .       For fixed density (number of 1s), we show that the ordinary generating function of the number of prefix normal words of length  n  and density  d  is a rational function. Finally, we give experimental results on    pnw   (  n  )  , discuss further properties, and state open problems.

Includes members:
  Member "clustered integer 3sum via additive combinatorics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "all non trivial variants of 3 ldt are equivalent")
  Member "on combinatorial generation of prefix normal words":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "generating a gray code for prefix normal words in amortized polylogarithmic time per word")
  Member "normal abby normal prefix normal":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generating a gray code for prefix normal words in amortized polylogarithmic time per word")
  Member "binary jumbled pattern matching via all pairs shortest paths":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on abelian longest common factor with and without rle")
  Member "new algorithms for binary jumbled pattern matching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "finding temporal patterns using algebraic fingerprints")
  Member "indexes for jumbled pattern matching in strings trees and graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finding temporal patterns using algebraic fingerprints")
  Member "binary jumbled string matching for highly run length compressible texts":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on abelian longest common factor with and without rle")
  Member "binary jumbled pattern matching on trees and tree like structures":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "finding temporal patterns using algebraic fingerprints")

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.DM(Discrete Mathematics)