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: "pebble games proof complexity and time space trade offs"
  Abstract: Pebble games were extensively studied in the 1970s and 1980s in a number of different contexts. The last decade has seen a revival of interest in pebble games coming from the field of proof complexity. Pebbling has proven to be a useful tool for studying resolution-based proof systems when comparing the strength of different subsystems, showing bounds on proof space, and establishing size-space trade-offs. This is a survey of research in proof complexity drawing on results and tools from pebbling, with a focus on proof space lower bounds and trade-offs between proof size and proof space.

Connected through hyperedge HE-1 (induced by source paper "nullstellensatz size degree trade offs from reversible pebbling"):
  with members:
    - "bounds on monotone switching networks for directed connectivity"

Connected through hyperedge HE-2 (induced by source paper "token swapping on trees"):
  with members:
    - "swapping colored tokens on graphs"
    - "the time complexity of permutation routing via matching token swapping and a variant"
    - "the time complexity of the token swapping problem and its parallel variants"
    - "approximation and hardness for token swapping"
    - "the complexity of change"
    - "an efficient algorithm for the diameter of cayley graphs generated by transposition trees"
    - "pancake flipping is hard"
    - "playing games with algorithms algorithmic combinatorial game theory"

Connected through hyperedge HE-3 (induced by source paper "re pairing brackets"):
  with members:
    - "complexity of problems of commutative grammars"
    - "decision problems for additive regular functions"
    - "algorithmic verification of asynchronous programs"
    - "parikh s theorem a simple and direct automaton construction"
    - "mso definable string transductions and two way finite state transducers"

Connected through hyperedge HE-4 (induced by source paper "knowledge compilation languages as proof systems"):
  with members:
    - "lower bounds for exact model counting and applications in probabilistic databases"
    - "a knowledge compilation map"

Connected through hyperedge HE-5 (induced by source paper "approximating cumulative pebbling cost is unique games hard"):
  with members:
    - "sustained space complexity"
    - "on the computational complexity of minimal cumulative cost graph pebbling"

Connected through hyperedge HE-6 (induced by source paper "subsumption driven clause learning with dpll restarts"):
  with members:
    - "towards understanding and harnessing the potential of clause learning"

Connected through hyperedge HE-7 (induced by source paper "near optimal lower bounds on quantifier depth and weisfeiler leman refinement steps"):
  with members:
    - "upper bounds on the quantifier depth for graph differentiation in first order logic"
    - "graph isomorphism in quasipolynomial time"
    - "a generalized method for proving polynomial calculus degree lower bounds"
    - "universal covers color refinement and two variable counting logic lower bounds for the depth"
    - "the propagation depth of local consistency"
    - "understanding space in proof complexity separations and trade offs via substitutions"

Connected through hyperedge HE-8 (induced by source paper "space proof complexity for random 3 cnfs"):
  with members:
    - "space proof complexity for random 3 cnfs via a 2 epsilon hall s theorem"
    - "understanding space in proof complexity separations and trade offs via substitutions"

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.CC(Computational Complexity)