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 "verifying linearizability a comparative survey"):
  Abstract: Linearizability is a key correctness criterion for concurrent data structures, ensuring that each history of the concurrent object under consideration is consistent with respect to a history of the corresponding abstract data structure. Linearizability allows concurrent (i.e., overlapping) operation calls take effect in any order, but requires the real-time order of non-overlapping to be preserved. The sophisticated nature of concurrent objects means that linearizability is difficult to judge, and hence, over the years, numerous techniques for verifying linearizability have been developed using a variety of formal foundations such as data refinement, shape analysis, reduction, etc. However, because the underlying framework, nomenclature and terminology for each method is different, it has become difficult for practitioners to evaluate the differences between each approach, and hence, evaluate the methodology most appropriate for verifying the data structure at hand. In this paper, we compare the major of methods for verifying linearizability, describe the main contribution of each method, and compare their advantages and limitations.

Includes members:
  Member "between linearizability and quiescent consistency quantitative quiescent consistency":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "specifying concurrent programs in separation logic morphisms and simulations")
  Member "efficient lock free binary search trees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic graph operations a consistent non blocking approach")
  Member "simplifying proofs of linearisability using layers of abstraction":
    also connected through other hyperedges:
      (none)
  Member "linearizability with ownership transfer":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "specifying concurrent programs in separation logic morphisms and simulations")
  Member "proving linearisability via coarse grained abstraction":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "data refinement for true concurrency")
  Member "lock free dynamic hash tables with open addressing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "parallel wavelet tree construction")

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.LO(Logic in Computer Science)