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: "hyperpctl a temporal logic for probabilistic hyperproperties"
  Abstract: In this paper, we propose a new logic for expressing and reasoning about probabilistic hyperproperties. Hyperproperties characterize the relation between different independent executions of a system. Probabilistic hyperproperties express quantitative dependencies between such executions. The standard temporal logics for probabilistic systems, i.e., PCTL and PCTL* can refer only to a single path at a time and, hence, cannot express many probabilistic hyperproperties of interest. The logic proposed in this paper, \HyperPCTL, adds explicit and simultaneous quantification over multiple traces to PCTL. Such quantification allows expressing probabilistic hyperproperties. A model checking algorithm for the proposed logic is also given for discrete-time Markov chains.

Connected through hyperedge HE-1 (induced by source paper "statistical epistemic logic"):
  with members:
    - "local obfuscation mechanisms for hiding probability distributions"
    - "hybrid statistical estimation of mutual information and its application to information flow"
    - "towards logical specification of statistical machine learning"
    - "on the anonymization of differentially private location obfuscation"
    - "proving differential privacy in hoare logic"
    - "statistical model checking an overview"
    - "an epistemic approach to coercion resistance for electronic voting protocols"
    - "anonymity and information hiding in multiagent systems"

Connected through hyperedge HE-2 (induced by source paper "statistical model checking for hyperproperties"):
  with members:
    - "data driven debugging for functional side channels"
    - "security analysis of cache replacement policies"

Connected through hyperedge HE-3 (induced by source paper "statistical model checking for probabilistic hyperproperties"):
  with members:
    - "statistical model checking for biological applications"

Connected through hyperedge HE-4 (induced by source paper "statistical verification of hyperproperties for cyber physical system"):
  with members:
    - "statistical model checking for biological applications"

Connected through hyperedge HE-5 (induced by source paper "on verifying timed hyperproperties"):
  with members:
    - "model checking quantitative hyperproperties"
    - "spectre attacks exploiting speculative execution"
    - "monitoring hyperproperties"
    - "real time synthesis is hard"
    - "bounded determinization of timed automata with silent transitions"

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)