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 "guiding theorem proving by recurrent neural networks"):
  Abstract: We describe two theorem proving tasks -- premise selection and internal guidance -- for which machine learning has been recently used with some success. We argue that the existing methods however do not correspond to the way how humans approach these tasks. In particular, the existing methods so far lack the notion of a state that is updated each time a choice in the reasoning process is made. To address that, we propose an analogy with tasks such as machine translation, where stateful architectures such as recurrent neural networks have been recently very successful. Then we develop and publish a series of sequence-to-sequence data sets that correspond to the theorem proving tasks using several encodings, and provide the first experimental evaluation of the performance of recurrent neural networks on such tasks.

Includes members:
  Member "atpboost learning premise selection in binary setting with atp feedback":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enigmawatch proofwatch meets enigma")
  Member "gamepad a learning environment for theorem proving":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "elementary logic in linear space")
  Member "first experiments with neural translation of informal to formal mathematics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "exploration of neural machine translation in autoformalization of mathematics in mizar")
  Member "can neural networks understand logical entailment":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards finding longer proofs")
  Member "reinforcement learning of theorem proving":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an experimental study of formula embeddings for automated theorem proving in first order logic")
  Member "beam search strategies for neural machine translation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "urdu english machine transliteration using neural networks")
  Member "enigma efficient learning based inference guiding machine":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an experimental study of formula embeddings for automated theorem proving in first order logic")
  Member "deep network guided proof search":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "teaching temporal logics to neural networks")

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.AI(Artificial Intelligence)