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 "bounded termination of monotonicity constraint transition systems"):
  Abstract: Intuitively, if we can prove that a program terminates, we expect some conclusion regarding its complexity. But the passage from termination proofs to complexity bounds is not always clear. In this work we consider Monotonicity Constraint Transition Systems, a program abstraction where termination is decidable (based on the size-change termination principle). We show that these programs also have a decidable complexity property: one can determine whether the length of all transition sequences can be bounded in terms of the initial state. This is the Bounded Termination problem. Interestingly, if a bound exists, it must be polynomial. We prove that the bounded termination problem is PSPACE-complete. #R##N#We also discuss, theoretically, the use of bounds on the abstract program to infer conclusions on a concrete program that has been abstracted. The conclusion maybe a polynomial time bound, or in other cases polynomial space or exponential time. We argue that the monotonicity-constraint abstraction promises to be useful for practical complexity analysis of programs.

Includes members:
  Member "automated complexity analysis based on the dependency pair method":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "automated amortised resource analysis for term rewrite systems")
  Member "monotonicity constraints for termination in the integer domain":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "smarter features simpler learning")
  Member "sat based termination analysis using monotonicity constraints over the integers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "buchi complementation and size change termination")
  Member "size change termination monotonicity constraints and ranking functions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a type based complexity analysis of object oriented programs")
  Member "on decidable growth rate properties of imperative programs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "tight polynomial worst case bounds for loop programs")
  Member "dependency pairs and polynomial path orders":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "polynomial path orders")

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)