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 "a time lower bound for multiple nucleation on a surface"):
  Abstract: Majumder, Reif and Sahu have presented a stochastic model of reversible, error-permitting, two-dimensional tile self-assembly, and showed that restricted classes of tile assembly systems achieved equilibrium in (expected) polynomial time. One open question they asked was how much computational power would be added if the model permitted multiple nucleation, i.e., independent groups of tiles growing before attaching to the original seed assembly. This paper provides a partial answer, by proving that if a tile assembly model uses only local binding rules, then it cannot use multiple nucleation on a surface to solve certain "simple" problems in constant time (time independent of the size of the surface). Moreover, this time bound applies to macroscale robotic systems that assemble in a three-dimensional grid, not just to tile assembly systems on a two-dimensional surface. The proof technique defines a new model of distributed computing that simulates tile (and robotic) self-assembly. Keywords: self-assembly, multiple nucleation, locally checkable labeling.

Includes members:
  Member "distributed agreement in tile self assembly":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "infinite object coating in the amoebot model")
  Member "strict self assembly of discrete sierpinski triangles":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "geometric tiles and powers and limitations of geometric hindrance in self assembly")
  Member "self assembling systems are distributed systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "memory consistency conditions for self assembly programming")
  Member "self assembly of discrete self similar fractals":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "deterministic 2 dimensional temperature 1 tile assembly systems cannot compute")
  Member "complexity of self assembled shapes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the program size complexity of self assembled paths")
  Member "dna self assembly for constructing 3d boxes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "distributed agreement in tile self assembly")

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.CC(Computational Complexity)