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: "implementation of smart contracts using hybrid architectures with on and off blockchain components"
  Abstract: Recently, decentralised (on-blockchain) platforms have emerged to complement centralised (off-blockchain) platforms for the implementation of automated, digital (smart) contracts. However, neither alternative can individually satisfy the requirements of a large class of applications. On-blockchain platforms suffer from scalability, performance, transaction costs and other limitations. Off-blockchain platforms are afflicted by drawbacks due to their dependence on single trusted third parties. We argue that in several application areas, hybrid platforms composed from the integration of on- and off-blockchain platforms are more able to support smart contracts that deliver the desired quality of service (QoS). Hybrid architectures are largely unexplored. To help cover the gap, in this paper we discuss the implementation of smart contracts on hybrid architectures. As a proof of concept, we show how a smart contract can be split and executed partially on an off-blockchain contract compliance checker and partially on the Rinkeby Ethereum network. To test the solution, we expose it to sequences of contractual operations generated mechanically by a contract validator tool.

Connected through hyperedge HE-1 (induced by source paper "scalable and privacy preserving design of on off chain smart contracts"):
  with members:
    - "decentralized release of self emerging data using smart contracts"
    - "decentralized privacy preserving timed execution in blockchain based smart contract platforms"
    - "chainspace a sharded smart contracts platform"

Connected through hyperedge HE-2 (induced by source paper "adversarial contract design for private data commercialization"):
  with members:
    - "blockchain enabled data marketplace design and challenges"
    - "contract design for energy demand response"
    - "market model and optimal pricing scheme of big data and internet of things iot"
    - "buying private data without verification"
    - "adaptive contract design for crowdsourcing markets bandit algorithms for repeated principal agent problems"
    - "differential privacy an economic method for choosing epsilon"
    - "a theory of pricing private data"
    - "privacy aware mechanism design"

Connected through hyperedge HE-3 (induced by source paper "on and off blockchain enforcement of smart contracts"):
  with members:
    - "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts"
    - "an empirical analysis of smart contracts platforms applications and design patterns"
    - "enigma decentralized computation platform with guaranteed privacy"
    - "bitcoin meets strong consistency"

Connected through hyperedge HE-4 (induced by source paper "end to end service level agreement specification for iot applications"):
  with members:
    - "on and off blockchain enforcement of smart contracts"
    - "fog computing a taxonomy survey and future directions"

Connected through hyperedge HE-5 (induced by source paper "demonstration abstract a toolkit for specifying service level agreements for iot applications"):
  with members:
    - "on and off blockchain enforcement of smart contracts"

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.SE(Software Engineering)