human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "cofree coalgebras and differential linear logic"
  Abstract: We prove that the semantics of intuitionistic linear logic in vector spaces which uses cofree coalgebras to model the exponential is a model of differential linear logic. Thus, in this semantics, proof denotations have natural derivatives. We give several examples of these derivatives.

Connected through hyperedge HE-1 (induced by source paper "logic and the 2 simplicial transformer"):
  with members:
    - "neural logic machines"
    - "universal transformers"
    - "generating long sequences with sparse transformers"
    - "an investigation of model free planning"
    - "impala scalable distributed deep rl with importance weighted actor learner architectures"
    - "relational recurrent neural networks"
    - "generalisation of structural knowledge in the hippocampal entorhinal system"
    - "deep reinforcement learning that matters"

Connected through hyperedge HE-2 (induced by source paper "jets and differential linear logic"):
  with members:
    - "reverse derivative categories"
    - "pde net 2 0 learning pdes from data with a numeric symbolic hybrid deep network"
    - "efficient neural architecture search via parameter sharing"
    - "an introduction to differential linear logic proof nets models and antiderivatives"
    - "neural architecture search with reinforcement learning"
    - "mackey complete spaces and power series a topological model of differential linear logic"
    - "a convenient differential category"

Question: Please tell me which class the center node 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)