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 proof for p np problem"):
  Abstract: The $\textbf{P} =? \textbf{NP}$ problem is an important problem in contemporary mathematics and theoretical computer science. Many proofs have been proposed to this problem. This paper proposes a theoretic proof for $\textbf{P} =? \textbf{NP}$ problem. The central idea of this proof is a recursive definition for Turing machine (shortly TM) that accepts the encoding strings of valid TMs within any given alphabet. As the concepts "Tao", "Yin" and "Yang" described in Chinese philosopy, an infinite sequence of TM, within any given alphabet, is constructed recursively, and it is proven that the sequence includes all valid TMs, and each of them run in polynomial time. Based on these TMs, the class \textbf{D} that includes all decidable languages is defined, and then the class $\textbf{P}$ and $\textbf{NP}$ are defined. By proving $\textbf{P} \subseteq \textbf{NP}$ and $\textbf{NP} \subseteq \textbf{P}$, the result $\textbf{P}=\textbf{NP}$ is proven.

Includes members:
  Member "the p versus np problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the lagrangian remainder of taylor s series distinguishes mathcal o f x time complexities to polynomials or not")
  Member "on p vs np geometric complexity theory and the riemann hypothesis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on p vs np geometric complexity theory explicit proofs and the complexity barrier")
  Member "solving medium density subset sum problems in expected polynomial time an enumeration approach":
    also connected through other hyperedges:
      (none)
  Member "oracles are subtle but not malicious":
    also connected through other hyperedges:
      (none)

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)