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: "delta complete analysis for bounded reachability of hybrid systems"
  Abstract: Abstract : We present the framework of delta-complete analysis for bounded reachability problems of general hybrid systems. We perform bounded reachability checking through solving delta-decision problems over the reals. The techniques take into account of robustness properties of the systems under numerical perturbations. We prove that the verification problems become much more mathematically tractable in this new framework. Our implementation of the techniques, an open-source tool dReach, scales well on several highly nonlinear hybrid system models that arise in biomedical and robotics applications.

Connected through hyperedge HE-1 (induced by source paper "verisig verifying safety properties of hybrid systems with neural network controllers"):
  with members:
    - "learning an approximate model predictive controller with guarantees"
    - "a classification based approach for approximate reachability"
    - "verification for machine learning autonomy and neural networks survey"
    - "reasoning about safety of learning enabled components in autonomous cyber physical systems"
    - "formal verification of piece wise linear feed forward neural networks"
    - "output reachable set estimation and verification for multi layer neural networks"
    - "reluplex an efficient smt solver for verifying deep neural networks"
    - "the power of deeper networks for expressing natural functions"

Connected through hyperedge HE-2 (induced by source paper "toward verifying a water treatment system"):
  with members:
    - "towards concolic testing for hybrid systems"
    - "should we learn probabilistic models for model checking a new approach and an empirical study"
    - "learning markov decision processes for model checking"

Connected through hyperedge HE-3 (induced by source paper "towards concolic testing for hybrid systems"):
  with members:
    - "approximate probabilistic verification of hybrid systems"
    - "approximate counting in smt and value estimation for probabilistic programs"

Connected through hyperedge HE-4 (induced by source paper "monitoring bounded ltl properties using interval analysis"):
  with members:
    - "satisfiability modulo odes"
    - "statistical model checking for stochastic hybrid systems"
    - "delta decidability over the reals"

Connected through hyperedge HE-5 (induced by source paper "deep neural programs for adaptive control in cyber physical systems"):
  with members:
    - "learning bayesian networks a unification for discrete and gaussian domains"

Connected through hyperedge HE-6 (induced by source paper "sreach a bounded model checker for stochastic hybrid systems"):
  with members:
    - "statistical model checking for stochastic hybrid systems"
    - "smt based bounded model checking for embedded ansi c software"

Connected through hyperedge HE-7 (induced by source paper "probreach verified probabilistic delta reachability for stochastic hybrid systems"):
  with members:
    - "sreach a bounded model checker for stochastic hybrid systems"

Connected through hyperedge HE-8 (induced by source paper "probabilistic bounded reachability for hybrid systems with continuous nondeterministic and probabilistic parameters"):
  with members:
    - "delta decidability over the reals"

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.SY(Systems and Control)