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 "tree compression using string grammars"):
  Abstract: We study the compressed representation of a ranked tree by a (string) straight-line program (SLP) for its preorder traversal, and compare it with the well-studied representation by straight-line context free tree grammars (which are also known as tree straight-line programs or TSLPs). Although SLPs turn out to be exponentially more succinct than TSLPs, we show that many simple tree queries can still be performed efficiently on SLPs, such as computing the height and Horton-Strahler number of a tree, tree navigation, or evaluation of Boolean expressions. Other problems on tree traversals turn out to be intractable, e.g. pattern matching and evaluation of tree automata.

Includes members:
  Member "tree compression with top trees revisited":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "top tree compression of tries")
  Member "a really simple approximation of smallest grammar":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards a definitive measure of repetitiveness")
  Member "constructing small tree grammars and small circuits for formulas":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "traversing grammar compressed trees with constant delay")
  Member "linear compressed pattern matching for polynomial rewriting extended abstract":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "inter procedural two variable herbrand equalities")
  Member "approximation of grammar based compression via recompression":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on string constraint solving")
  Member "approximation of smallest linear tree grammar":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "repair in compressed space and time")
  Member "faster fully compressed pattern matching by recompression":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "grammar compression with probabilistic context free grammar")
  Member "isomorphism of regular trees and words":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the order type of scattered context free orderings of rank one is computable")

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.FL(Formal Languages and Automata Theory)