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: "smart contract vulnerabilities does anyone care"
  Abstract: In the last year we have seen a great deal of both academic and practical interest in the topic of vulnerabilities in smart contracts, particularly those developed for the Ethereum blockchain. In this paper we survey the 21,270 vulnerable contracts reported by five recent academic projects. Contrary to what might have been believed given the reported number of vulnerable contracts, there has been precious little in terms of actual exploitation when it comes to these vulnerabilities. We find that at most 504 out of 21,270 contracts have been subjected to exploits. This corresponds to at most 9,094 ETH (1 million USD), or only 0.30% of the 3 million ETH (350 million USD) claimed in some of the papers. While we are certainly not implying that smart contract vulnerability research is without merit, our results suggest that the potential impact of vulnerable code had been greatly exaggerated.

Connected through hyperedge HE-1 (induced by source paper "empirical review of automated analysis tools on 47 587 ethereum smart contracts"):
  with members:
    - "a survey on ethereum systems security vulnerabilities attacks and defenses"
    - "the art of the scam demystifying honeypots in ethereum smart contracts"
    - "slither a static analysis framework for smart contracts"
    - "domain specific code smells in smart contracts"
    - "manticore a user friendly symbolic execution framework for binaries and smart contracts"
    - "tool demonstration fsolidm for designing secure ethereum smart contracts"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "ethir a framework for high level analysis of ethereum bytecode"

Connected through hyperedge HE-2 (induced by source paper "what are the actual flaws in important smart contracts and how can we find them"):
  with members:
    - "exploring the attack surface of blockchain a systematic overview"
    - "slither a static analysis framework for smart contracts"
    - "finding the greedy prodigal and suicidal contracts at scale"
    - "a semantic framework for the security analysis of ethereum smart contracts"
    - "vandal a scalable security analysis framework for smart contracts"
    - "securify practical security analysis 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.CR(Cryptography and Security)