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: "smt based bounded model checking for embedded ansi c software"
  Abstract: Propositional bounded model checking has been applied successfully to verify embedded software but is limited by the increasing propositional formula size and the loss of structure during the translation. These limitations can be reduced by encoding word-level information in theories richer than propositional logic and using SMT solvers for the generated verification conditions. Here, we investigate the application of different SMT solvers to the verification of embedded software written in ANSI-C. We have extended the encodings from previous SMT-based bounded model checkers to provide more accurate support for finite variables, bit-vector operations, arrays, structures, unions and pointers. We have integrated the CVC3, Boolector, and Z3 solvers with the CBMC front-end and evaluated them using both standard software model checking benchmarks and typical embedded applications from telecommunications, control systems and medical devices. The experiments show that our approach can analyze larger problems and substantially reduce the verification time.

Connected through hyperedge HE-1 (induced by source paper "verifying software vulnerabilities in iot cryptographic protocols"):
  with members:
    - "v fuzz vulnerability oriented evolutionary fuzzing"
    - "improving function coverage with munch a hybrid fuzzing and directed symbolic execution approach"
    - "on the security of 2 key triple des"
    - "extracting and verifying cryptographic models from c protocol code by symbolic execution"

Connected through hyperedge HE-2 (induced by source paper "incremental bounded model checking of artificial neural networks in cuda"):
  with members:
    - "finding invariants in deep neural networks"
    - "symbolic execution for deep neural networks"
    - "testing deep neural networks"
    - "improving the adversarial robustness and interpretability of deep neural networks by regularizing their input gradients"
    - "deepsafe a data driven approach for checking adversarial robustness in neural networks"
    - "reluplex an efficient smt solver for verifying deep neural networks"
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "convergence analysis of two layer neural networks with relu activation"

Connected through hyperedge HE-3 (induced by source paper "counterexample guided inductive optimization"):
  with members:
    - "optimization modulo theories with linear rational costs"
    - "pushing the envelope of optimization modulo theories with linear arithmetic cost functions"
    - "a literature survey of benchmark functions for global optimisation problems"

Connected through hyperedge HE-4 (induced by source paper "counterexample guided k induction verification for fast bug detection"):
  with members:
    - "incremental bounded model checking for embedded software extended version"

Connected through hyperedge HE-5 (induced by source paper "handling state space explosion in verification of component based systems a review"):
  with members:
    - "bounded model checking and feature omission diversity"

Connected through hyperedge HE-6 (induced by source paper "automated verification and synthesis of embedded systems using machine learning"):
  with members:
    - "sound and automated synthesis of digital stabilizing controllers for continuous plants"

Connected through hyperedge HE-7 (induced by source paper "counterexample guided inductive optimization applied to mobile robots path planning extended version"):
  with members:
    - "counterexample guided inductive optimization"

Connected through hyperedge HE-8 (induced by source paper "bounded model checking of state space digital systems the impact of finite word length effects on the implementation of fixed point digital controllers based on state space modeling"):
  with members:
    - "smt based bounded model checking of fixed point digital controllers"

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.SE(Software Engineering)