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 "computing exact solutions of consensus halving and the borsuk ulam theorem"):
  Abstract: We study the problem of finding an exact solution to the consensus halving problem. While recent work has shown that the approximate version of this problem is PPA-complete, we show that the exact version is much harder. Specifically, finding a solution with $n$ cuts is FIXP-hard, and deciding whether there exists a solution with fewer than $n$ cuts is ETR-complete. We also give a QPTAS for the case where each agent's valuation is a polynomial. #R##N#Along the way, we define a new complexity class BU, which captures all problems that can be reduced to solving an instance of the Borsuk-Ulam problem exactly. We show that FIXP $\subseteq$ BU $\subseteq$ TFETR and that LinearBU $=$ PPA, where LinearBU is the subclass of BU in which the Borsuk-Ulam instance is specified by a linear arithmetic circuit.

Includes members:
  Member "approximating the existential theory of the reals":
    also connected through other hyperedges:
      (none)
  Member "the complexity of splitting necklaces and bisecting ham sandwiches":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "consenus halving does it ever get easier")
  Member "an improved envy free cake cutting protocol for four agents":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "maximin aware allocations of indivisible goods")
  Member "consensus halving is ppa complete":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "consenus halving does it ever get easier")
  Member "a discrete and bounded envy free cake cutting protocol for any number of agents":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "maximin fairness with mixed divisible and indivisible goods")
  Member "hardness results for consensus halving":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "consenus halving does it ever get easier")
  Member "recognition and complexity of point visibility graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "drawing graphs as spanners")
  Member "a discrete and bounded envy free cake cutting protocol for four agents":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "consenus halving does it ever get easier")

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)