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: "probabilistic bisimulation naturally on distributions"
  Abstract: In contrast to the usual understanding of probabilistic systems as stochastic processes, recently these systems have also been regarded as transformers of probabilities. In this paper, we give a natural definition of strong bisimulation for probabilistic systems corresponding to this view that treats probability distributions as first-class citizens. Our definition applies in the same way to discrete systems as well as to systems with uncountable state and action spaces. Several examples demonstrate that our definition refines the understanding of behavioural equivalences of probabilistic systems. In particular, it solves a long-standing open problem concerning the representation of memoryless continuous time by memory-full continuous time. Finally, we give algorithms for computing this bisimulation not only for finite but also for classes of uncountably infinite systems.

Connected through hyperedge HE-1 (induced by source paper "the theory of traces for systems with nondeterminism and probability"):
  with members:
    - "trace and testing metrics on nondeterministic probabilistic processes"
    - "convex language semantics for nondeterministic probabilistic automata"
    - "mixed powerdomains for probability and nondeterminism"
    - "the power of convex algebras"
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "layer by layer combining monads"
    - "distribution based bisimulation for labelled markov processes"

Connected through hyperedge HE-2 (induced by source paper "convex language semantics for nondeterministic probabilistic automata"):
  with members:
    - "the power of convex algebras"
    - "revisiting trace and testing equivalences for nondeterministic and probabilistic processes"
    - "towards a coalgebraic chomsky hierarchy"
    - "positivity problems for low order linear recurrence sequences"
    - "generalizing determinization from automata to coalgebras"

Connected through hyperedge HE-3 (induced by source paper "a coalgebraic treatment of conditional transition systems with upgrades"):
  with members:
    - "on path based coalgebras and weak notions of bisimulation"
    - "bisimulation of labelled state to function transition systems coalgebraically"
    - "generic trace semantics via coinduction"

Connected through hyperedge HE-4 (induced by source paper "the power of convex algebras"):
  with members:
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "high level counterexamples for probabilistic automata"
    - "robust synchronization in markov decision processes"
    - "coinduction up to in a fibrational setting"
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "church a language for generative models"
    - "relating coalgebraic notions of bisimulation"

Connected through hyperedge HE-5 (induced by source paper "distribution based bisimulation for labelled markov processes"):
  with members:
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "unprovability of the logical characterization of bisimulation"
    - "approximating a behavioural pseudometric without discount for probabilistic systems"

Connected through hyperedge HE-6 (induced by source paper "the complexity of synchronizing markov decision processes"):
  with members:
    - "improving the upper bound on the length of the shortest reset word"
    - "controlling a population"
    - "synchronizing data words for register automata"
    - "computation tree logic for synchronization properties"
    - "trace refinement in labelled markov decision processes"
    - "synchronizing weighted automata"
    - "fast synchronization of random automata"
    - "on the probability of being synchronizable"

Connected through hyperedge HE-7 (induced by source paper "logical characterization of bisimulation metrics"):
  with members:
    - "divide and congruence ii from decomposition of modal formulas to preservation of delay and weak bisimilarity"
    - "modal characterisations of behavioural pseudometrics"
    - "topologies of stochastic markov models computational aspects"
    - "fixed point characterization of compositionality properties of probabilistic processes combinators"
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "continuous markovian logics axiomatization and quantified metatheory"
    - "logical metric and algorithmic characterisations of probabilistic bisimulation"
    - "characterising probabilistic processes logically"

Connected through hyperedge HE-8 (induced by source paper "modal characterisations of behavioural pseudometrics"):
  with members:
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "bisimulations for nondeterministic labeled markov processes"
    - "algorithms for game metrics"
    - "approximating a behavioural pseudometric without discount for probabilistic systems"
    - "game refinement relations and metrics"

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)