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: "an algebraic framework for runtime verification"
  Abstract: Runtime verification (RV) is a pragmatic and scalable, yet rigorous technique, to assess the correctness of complex systems, including cyber-physical systems (CPS). By measuring how robustly a CPS run satisfies a specification, RV allows in addition, to quantify the resiliency of a CPS to perturbations. In this paper we propose Algebraic Runtime Verification (ARV), a general, semantic framework for RV, which takes advantage of the monoidal structure of runs (w.r.t. concatenation) and the semiring structure of a specification automaton (w.r.t. choice and concatenation), to compute in an incremental and application specific fashion the resiliency measure. This allows us to expose the core aspects of RV, by developing an abstract monitoring algorithm, and to strengthen and unify the various qualitative and quantitative approaches to RV, by instantiating choice and concatenation with real-valued functions as dictated by the application. We demonstrate the power and effectiveness of our framework on two case studies from the automotive domain.

Connected through hyperedge HE-1 (induced by source paper "online quantitative timed pattern matching with semiring valued weighted automata"):
  with members:
    - "online parametric timed pattern matching with automata based skipping"
    - "symbolic monitoring against specifications parametric in time and data"
    - "offline timed pattern matching under uncertainty"
    - "monaa a tool for timed pattern matching with automata based acceleration"
    - "efficient online timed pattern matching by automata based skipping"
    - "montre a tool for monitoring timed regular expressions"
    - "a boyer moore type algorithm for timed pattern matching"
    - "robust online monitoring of signal temporal logic"

Connected through hyperedge HE-2 (induced by source paper "a survey of challenges for runtime verification from advanced application domains beyond software"):
  with members:
    - "adventures in monitorability from branching to linear time and back again"
    - "after you please browser extensions order attacks and countermeasures"
    - "selective monitoring"
    - "monitoring data minimisation"
    - "on the monitoring of decentralized specifications semantics properties analysis and simulation"
    - "learning to protect communications with adversarial neural cryptography"
    - "a web based tool for analysing normative documents in english"
    - "monitoring mobile and spatially distributed cyber physical 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)