human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "revisiting trace and testing equivalences for nondeterministic and probabilistic processes"):
  Abstract: Two of the most studied extensions of trace and testing equivalences to#N#nondeterministic and probabilistic processes induce distinctions that have been#N#questioned and lack properties that are desirable. Probabilistic#N#trace-distribution equivalence differentiates systems that can perform the same#N#set of traces with the same probabilities, and is not a congruence for parallel#N#composition. Probabilistic testing equivalence, which relies only on extremal#N#success probabilities, is backward compatible with testing equivalences for#N#restricted classes of processes, such as fully nondeterministic processes or#N#generative/reactive probabilistic processes, only if specific sets of tests are#N#admitted. In this paper, new versions of probabilistic trace and testing#N#equivalences are presented for the general class of nondeterministic and#N#probabilistic processes. The new trace equivalence is coarser because it#N#compares execution probabilities of single traces instead of entire trace#N#distributions, and turns out to be compositional. The new testing equivalence#N#requires matching all resolutions of nondeterminism on the basis of their#N#success probabilities, rather than comparing only extremal success#N#probabilities, and considers success probabilities in a trace-by-trace fashion,#N#rather than cumulatively on entire resolutions. It is fully backward compatible#N#with testing equivalences for restricted classes of processes; as a#N#consequence, the trace-by-trace approach uniformly captures the standard#N#probabilistic testing equivalences for generative and reactive probabilistic#N#processes. The paper discusses in full details the new equivalences and#N#provides a simple spectrum that relates them with existing ones in the setting#N#of nondeterministic and probabilistic processes.

Includes members:
  Member "characterising testing preorders for finite probabilistic processes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ensuring liveness properties of distributed systems open problems")
  Member "bisimilarity and behaviour preserving reconfigurations of open petri nets":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)