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 "partially ordered automata and piecewise testability"):
  Abstract: Universality is the question whether a system recognizes all words over its alphabet. Complexity of deciding universality provides lower bounds for other problems, including inclusion and equivalence of systems behaviors. We study the complexity of universality for a class of nondeterministic finite automata, models as expressive as boolean combinations of existential first-order sentences. We show that deciding universality is as hard as for general automata if the alphabet may grow with the number of states, but decreases if the alphabet is fixed. The proof requires a novel and nontrivial extension of our recent construction for self-loop-deterministic partially ordered automata. Consequently, we obtain complexity results for several variants of partially ordered automata and problems of inclusion, equivalence, and \mbox{($k$-)}piecewise testability, for which we provide a whole complexity picture.

Includes members:
  Member "the covering problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "regular separability and intersection emptiness are independent problems")
  Member "complexity of detectability opacity and a diagnosability for modular discrete event systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "estimation and verification of partially observed discrete event systems")
  Member "complexity of universality and related problems for partially ordered nfas":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scattered factor universality of words")
  Member "separability by piecewise testable languages is ptime complete":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the height of towers of subsequences and prefixes")
  Member "complexity of deciding detectability in discrete event systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "estimation and verification of partially observed discrete event systems")
  Member "piecewise testable languages and nondeterministic automata":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on shuffle products acyclic automata and piecewise testable languages")
  Member "the height of piecewise testable languages and the complexity of the logic of subwords":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "scattered factor universality of words")
  Member "on separation by locally testable and locally threshold testable languages":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "separating regular languages with first order logic")

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)