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: "robust linear temporal logic"
  Abstract: Although it is widely accepted that every system should be robust, in the sense that "small" violations of environment assumptions should lead to "small" violations of system guarantees, it is less clear how to make this intuitive notion of robustness mathematically precise. In this paper, we address this problem by developing a robust version of Linear Temporal Logic (LTL), which we call robust LTL and denote by rLTL. Formulas in rLTL are syntactically identical to LTL formulas but are endowed with a many-valued semantics that encodes robustness. In particular, the semantics of the rLTL formula $\varphi \Rightarrow \psi$ is such that a "small" violation of the environment assumption $\varphi$ is guaranteed to only produce a "small" violation of the system guarantee $\psi$. In addition to introducing rLTL, we study the verification and synthesis problems for this logic: similarly to LTL, we show that both problems are decidable, that the verification problem can be solved in time exponential in the number of subformulas of the rLTL formula at hand, and that the synthesis problem can be solved in doubly exponential time.

Connected through hyperedge HE-1 (induced by source paper "elaborating on learned demonstrations with temporal logic specifications"):
  with members:
    - "specification patterns for robotic missions"
    - "disentangled relational representations for explaining and learning from demonstration"
    - "imitation learning of robot policies by combining language vision and demonstration"
    - "residual policy learning"
    - "guiding policies with language via meta learning"
    - "a semantic loss function for deep learning with symbolic knowledge"
    - "interpretable apprenticeship learning with temporal logic specifications"
    - "generative adversarial imitation learning"

Connected through hyperedge HE-2 (induced by source paper "optimally resilient strategies in pushdown safety games"):
  with members:
    - "synthesizing optimally resilient controllers"
    - "summaries for context free games"
    - "an automaton learning approach to solving safety games over infinite graphs"
    - "quantitative games under failures"
    - "how to handle assumptions in synthesis"
    - "playing pushdown parity games in a hurry"
    - "better quality in synthesis through quantitative objectives"

Connected through hyperedge HE-3 (induced by source paper "robust expressive and quantitative linear temporal logics pick any two for free"):
  with members:
    - "robust expressive and quantitative linear temporal logics pick any two for free full version"
    - "robust expressive and quantitative linear temporal logics"
    - "synthesizing optimally resilient controllers"
    - "parameterized linear temporal logics meet costs still not costlier than ltl"
    - "parametric linear dynamic logic"
    - "optimal bounds in parametric ltl games"

Connected through hyperedge HE-4 (induced by source paper "reactive synthesis with maximum realizability of linear temporal logic specifications"):
  with members:
    - "encodings of bounded synthesis"
    - "maximum realizability for linear temporal logic specifications"
    - "low effort specification debugging and analysis"
    - "on the minimal revision problem of specification automata"
    - "better quality in synthesis through quantitative objectives"

Connected through hyperedge HE-5 (induced by source paper "robust expressive and quantitative linear temporal logics pick any two for free full version"):
  with members:
    - "synthesizing optimally resilient controllers"
    - "visibly linear dynamic logic"
    - "parametric linear dynamic logic"
    - "optimal bounds in parametric ltl games"

Connected through hyperedge HE-6 (induced by source paper "maximum realizability for linear temporal logic specifications"):
  with members:
    - "low effort specification debugging and analysis"
    - "on the minimal revision problem of specification automata"
    - "better quality in synthesis through quantitative objectives"

Connected through hyperedge HE-7 (induced by source paper "from ltl to rltl monitoring improved monitorability through robust semantics"):
  with members:
    - "stream runtime monitoring on uas"
    - "real time stream based monitoring"
    - "quantitative regular expressions for arrhythmia detection algorithms"

Connected through hyperedge HE-8 (induced by source paper "a benchmark problem in transportation networks"):
  with members:
    - "a dynamic system characterization of road network node models"

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)