human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "on the maximal sum of exponents of runs in a string"
  Abstract: A run is an inclusion maximal occurrence in a string (as a subinterval) of a repetition v with a period p such that 2p ≤ |v|. The exponent of a run is defined as |v|/p and is ≥ 2. We show new bounds on the maximal sum of exponents of runs in a string of length n. Our upper bound of 4.1 n is better than the best previously known proven bound of 5.6 n by Crochemore & Ilie (2008). The lower bound of 2.035 n, obtained using a family of binary words, contradicts the conjecture of Kolpakov & Kucherov (1999) that the maximal sum of exponents of runs in a string of length n is smaller than 2n.

Connected through hyperedge HE-1 (induced by source paper "the runs theorem"):
  with members:
    - "computing runs on a general alphabet"
    - "internal pattern matching queries in a text and applications"
    - "lyndon words and short superstrings"
    - "on bijective variants of the burrows wheeler transform"
    - "new lower bounds for the maximum number of runs in a string"
    - "circle formation of weak robots and lyndon words"

Connected through hyperedge HE-2 (induced by source paper "on the number of gapped repeats with arbitrary gap"):
  with members:
    - "the runs theorem"
    - "efficiently finding all maximal alpha gapped repeats"
    - "longest gapped repeats and palindromes"
    - "searching of gapped repeats and subrepetitions in a word"
    - "on primary and secondary repetitions in words"

Connected through hyperedge HE-3 (induced by source paper "optimal searching of gapped repeats in a word"):
  with members:
    - "the runs theorem"
    - "longest gapped repeats and palindromes"
    - "beyond the runs theorem"
    - "lempel ziv factorization may be harder than computing all runs"
    - "searching of gapped repeats and subrepetitions in a word"
    - "on primary and secondary repetitions in words"
    - "on maximal repetitions of arbitrary exponent"

Connected through hyperedge HE-4 (induced by source paper "lempel ziv factorization may be harder than computing all runs"):
  with members:
    - "searching of gapped repeats and subrepetitions in a word"
    - "faster compact on line lempel ziv factorization"
    - "lempel ziv parsing in external memory"
    - "on primary and secondary repetitions in words"

Connected through hyperedge HE-5 (induced by source paper "internal pattern matching queries in a text and applications"):
  with members:
    - "wavelet trees meet suffix trees"
    - "sorted range reporting revisited"
    - "orthogonal range searching for text indexing"
    - "searching of gapped repeats and subrepetitions in a word"
    - "sorted range reporting"
    - "pattern matching in lempel ziv compressed strings fast simple and deterministic"

Connected through hyperedge HE-6 (induced by source paper "searching of gapped repeats and subrepetitions in a word"):
  with members:
    - "efficiently finding all maximal alpha gapped repeats"
    - "beyond the runs theorem"
    - "on primary and secondary repetitions in words"
    - "on maximal repetitions of arbitrary exponent"

Question: Please tell me which class the center node 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)