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 "towards an algebraic natural proofs barrier via polynomial identity testing"):
  Abstract: We observe that a certain kind of algebraic proof - which covers essentially all known algebraic circuit lower bounds to date - cannot be used to prove lower bounds against VP if and only if what we call succinct hitting sets exist for VP. This is analogous to the Razborov-Rudich natural proofs barrier in Boolean circuit complexity, in that we rule out a large class of lower bound techniques under a derandomization assumption. We also discuss connections between this algebraic natural proofs barrier, geometric complexity theory, and (algebraic) proof complexity.

Includes members:
  Member "succinct hitting sets and barriers to proving algebraic circuits lower bounds":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "implementing geometric complexity theory on the separation of orbit closures via symmetries")
  Member "arithmetic circuits with locally low algebraic rank":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "constructing faithful homomorphisms over fields of finite characteristic")
  Member "geometric complexity theory and matrix powering":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the computational complexity of plethysm coefficients")
  Member "functional lower bounds for arithmetic circuits and connections to boolean circuit complexity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "symmetric arithmetic circuits")
  Member "no occurrence obstructions in geometric complexity theory":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the computational complexity of plethysm coefficients")
  Member "the chasm at depth four and tensor rank old results new insights":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards optimal depth reductions for syntactically multilinear circuits")
  Member "on minimal free resolutions and the method of shifted partial derivatives in complexity theory":
    also connected through other hyperedges:
      (none)
  Member "rectangular kronecker coefficients and plethysms in geometric complexity theory":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the computational complexity of plethysm coefficients")

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)