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 "applications of metric coinduction"):
  Abstract: Metric coinduction is a form of coinduction that can be used to establish#N#properties of objects constructed as a limit of finite approximations. One can#N#prove a coinduction step showing that some property is preserved by one step of#N#the approximation process, then automatically infer by the coinduction#N#principle that the property holds of the limit object. This can often be used#N#to avoid complicated analytic arguments involving limits and convergence,#N#replacing them with simpler algebraic arguments. This paper examines the#N#application of this principle in a variety of areas, including infinite#N#streams, Markov chains, Markov decision processes, and non-well-founded sets.#N#These results point to the usefulness of coinduction as a general proof#N#technique.

Includes members:
  Member "a cook s tour of the finitary non well founded sets":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a ghost at ω 1")
  Member "coinductive proof principles for stochastic processes":
    also connected through other hyperedges:
      (none)

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)