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: "stream differential equations specification formats and solution methods"
  Abstract: Streams, or infinite sequences, are infinite objects of a very simple type, yet they have a rich theory partly due to their ubiquity in mathematics and computer science. Stream differential equations are a coinductive method for specifying streams and stream operations, and their theory has been developed in many papers over the past two decades. In this paper we present a survey of the many results in this area. Our focus is on the classification of different formats of stream differential equations, their solution methods, and the classes of streams they can define. Moreover, we describe in detail the connection between the so-called syntactic solution method and abstract GSOS.

Connected through hyperedge HE-1 (induced by source paper "differentiable causal computations via delayed trace"):
  with members:
    - "guarded traced categories"
    - "the simple essence of automatic differentiation"
    - "diagrammatic semantics for digital circuits"
    - "infinite state energy games"
    - "rational streams coalgebraically"

Connected through hyperedge HE-2 (induced by source paper "the differential calculus of causal functions"):
  with members:
    - "differentiable causal computations via delayed trace"

Connected through hyperedge HE-3 (induced by source paper "multi weighted markov decision processes with reachability objectives"):
  with members:
    - "stochastic shortest paths and weight bounded properties in markov decision processes"
    - "threshold constraints with guarantees for parity objectives in markov decision processes"
    - "maximizing the conditional expected reward for reaching the goal"
    - "unifying two views on multiple mean payoff objectives in markov decision processes"
    - "multidimensional beyond worst case and almost sure problems for mean payoff objectives"
    - "knowledge spaces and the completeness of learning strategies"
    - "variations on the stochastic shortest path problem"
    - "the odds of staying on budget"

Connected through hyperedge HE-4 (induced by source paper "companions causality and codensity"):
  with members:
    - "the largest respectful function"
    - "coinduction up to in a fibrational setting"
    - "coalgebraic characterizations of context free languages"
    - "abstract gsos rules and a modular treatment of recursive definitions"

Connected through hyperedge HE-5 (induced by source paper "distributive laws for monotone specifications"):
  with members:
    - "distributive laws and decidable properties of sos specifications"

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)