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: "deciding detectability for labeled petri nets"
  Abstract: Detectability of discrete event systems (DESs) is a property to determine a priori whether the current and subsequent states can be determined based on observations. In this paper, we investigate the verification of two detectability properties -- strong detectability and weak detectability -- for DESs modeled by labeled Petri nets. Strong detectability requires that we can always determine, after a finite number of observations, the current and subsequent markings of the system, while weak detectability requires that we can determine, after a finite number of observations, the current and subsequent markings for some trajectories of the system. We show that for DESs modeled by labeled Petri nets, checking strong detectability is decidable whereas checking weak detectability is undecidable. Our results extend the existing studies on the verification of detectability from finite-state automata to labeled Petri nets. As a consequence, we strengthen a result on checking current-state opacity for labeled Petri nets.

Connected through hyperedge HE-1 (induced by source paper "estimation and verification of partially observed discrete event systems"):
  with members:
    - "opacity of nondeterministic transition systems a bi simulation relation approach"
    - "complexity of detectability opacity and a diagnosability for modular discrete event systems"
    - "complexity of deciding detectability in discrete event systems"
    - "probabilistic opacity for markov decision processes"

Connected through hyperedge HE-2 (induced by source paper "verification of detectability in petri nets using verifier nets"):
  with members:
    - "complexity of deciding detectability in discrete event systems"

Connected through hyperedge HE-3 (induced by source paper "verification of c detectability using petri nets"):
  with members:
    - "complexity of deciding detectability in discrete event systems"

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.LO(Logic in Computer Science)