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 "parameterised counting classes with bounded nondeterminism"):
  Abstract: Stockhusen and Tantau (IPEC 2013) introduced the operators paraW and paraBeta for parameterised space complexity classes by allowing bounded nondeterminism with read-only and read-once access, respectively. Using these operators, they could characterise the complexity of many parameterisations of natural problems on graphs. In this article, we study the counting versions of the parameterised space-bounded complexity classes introduced by Stockhusen and Tantau (IPEC 2013). We show that natural path counting problems in digraphs are complete for the newly introduced classes #paraWL and #paraBetaL. Finally, we introduce parameterised counting classes based on branching programs (BPs). We show that parameterised counting classes based on branching programs coincide with the corresponding parameterised space bounded counting classes.

Includes members:
  Member "counting of teams in first order team logics":
    also connected through other hyperedges:
      (none)
  Member "some lower bounds in parameterized rm ac 0":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "computing hitting set kernels by ac 0 circuits")
  Member "fast parallel fixed parameter algorithms via color coding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic complexity meets parameterised algorithms")

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)