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 "enigma efficient learning based inference guiding machine"):
  Abstract: ENIGMA is a learning-based method for guiding given clause selection in saturation-based theorem provers. Clauses from many proof searches are classified as positive and negative based on their participation in the proofs. An efficient classification model is trained on this data, using fast feature-based characterization of the clauses . The learned model is then tightly linked with the core prover and used as a basis of a new parameterized evaluation heuristic that provides fast ranking of all generated clauses. The approach is evaluated on the E prover and the CASC 2016 AIM benchmark, showing a large increase of E's performance.

Includes members:
  Member "monte carlo connection prover":
    also connected through other hyperedges:
      (none)
  Member "mizar 40 for mizar 40":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enigma anonymous symbol independent inference guiding machine system description")
  Member "sepia search for proofs using inferred automata":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning to prove theorems via interacting with proof assistants")
  Member "machine learner for automated reasoning 0 4 and 0 5":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "holist an environment for machine learning of higher order theorem proving")
  Member "blistr the blind strategymaker":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reinforcement learning of theorem proving")
  Member "males a framework for automatic tuning of automated theorem provers":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "ml fv heartsuit a survey on the application of machine learning to formal verification")
  Member "learning assisted automated reasoning with flyspeck":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an experimental study of formula embeddings for automated theorem proving in first order logic")

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.LO(Logic in Computer Science)