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: "actor model of computation scalable robust information systems"
  Abstract: The Actor model is a mathematical theory that treats "Actors" as the universal primitives of concurrent digital computation. The model has been used both as a framework for a theoretical understanding of concurrency, and as the theoretical basis for several practical implementations of concurrent systems. Unlike previous models of computation, the Actor model was inspired by physical laws. It was also influenced by the programming languages Lisp, Simula 67 and Smalltalk-72, as well as ideas for Petri Nets, capability-based systems and packet switching. The advent of massive concurrency through client-cloud computing and many-core computer architectures has galvanized interest in the Actor model. #R##N#Actor technology will see significant application for integrating all kinds of digital information for individuals, groups, and organizations so their information usefully links together. Information integration needs to make use of the following information system principles: #R##N#* Persistence. Information is collected and indexed. #R##N#* Concurrency: Work proceeds interactively and concurrently, overlapping in time. #R##N#* Quasi-commutativity: Information can be used regardless of whether it initiates new work or become relevant to ongoing work. #R##N#* Sponsorship: Sponsors provide resources for computation, i.e., processing, storage, and communications. #R##N#* Pluralism: Information is heterogeneous, overlapping and often inconsistent. #R##N#* Provenance: The provenance of information is carefully tracked and recorded #R##N#The Actor Model is intended to provide a foundation for inconsistency robust information integration

Connected through hyperedge HE-1 (induced by source paper "privacy preserving blockchain based federated learning with differential data sharing"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "a tutorial on computing t closeness"
    - "privacy preserving deep learning via weight transmission"
    - "a secure and robust scheme for sharing confidential information in iot systems"
    - "towards federated learning at scale system design"
    - "federated machine learning concept and applications"
    - "building scalable decentralized payment systems"
    - "chiron privacy preserving machine learning as a service"

Connected through hyperedge HE-2 (induced by source paper "thinkey a scalable blockchain architecture"):
  with members:
    - "dfinity technology overview series consensus system"
    - "scaling nakamoto consensus to thousands of transactions per second"
    - "chainspace a sharded smart contracts platform"
    - "enhancing bitcoin security and performance with strong consistency via collective signing"
    - "bitcoin ng a scalable blockchain protocol"

Connected through hyperedge HE-3 (induced by source paper "smart contracts that are smart and can function as legal contracts a review of semantic blockchain and distributed ledger technologies"):
  with members:
    - "an empirical analysis of smart contracts platforms applications and design patterns"
    - "smart contract templates essential requirements and design options"
    - "smart contract templates foundations design landscape and research directions"

Connected through hyperedge HE-4 (induced by source paper "inconsistency robustness for logic programs"):
  with members:
    - "actorscript tm extension of c sharp tm java tm and objective c tm iadaptive tm concurrency for anticloud tm privacy and security"

Connected through hyperedge HE-5 (induced by source paper "chemlambda universality and self multiplication"):
  with members:
    - "glc actors artificial chemical connectomes topological issues and knots"
    - "graphic lambda calculus"
    - "chemical concrete machine"

Connected through hyperedge HE-6 (induced by source paper "glc actors artificial chemical connectomes topological issues and knots"):
  with members:
    - "graphic lambda calculus"
    - "chemical concrete machine"

Connected through hyperedge HE-7 (induced by source paper "actorscript tm extension of c sharp tm java tm and objective c tm iadaptive tm concurrency for anticloud tm privacy and security"):
  with members:
    - "inconsistency robustness in foundations mathematics self proves its own consistency and other matters"
    - "interactive small step algorithms ii abstract state machines and the characterization theorem"

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.PL(Programming Languages)