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: "a look at the time delays in cvss vulnerability scoring"
  Abstract: Abstract   This empirical paper examines the time delays that occur between the publication of Common Vulnerabilities and Exposures (CVEs) in the National Vulnerability Database (NVD) and the Common Vulnerability Scoring System (CVSS) information attached to published CVEs. According to the empirical results based on regularized regression analysis of over eighty thousand archived vulnerabilities, (i) the CVSS content does not statistically influence the time delays, which, however, (ii) are strongly affected by a decreasing annual trend. In addition to these results, the paper contributes to the empirical research tradition of software vulnerabilities by a couple of insights on misuses of statistical methodology.

Connected through hyperedge HE-1 (induced by source paper "puminer mining security posts from developer question and answer websites with pu learning"):
  with members:
    - "toxic code snippets on stack overflow"
    - "enhancing python compiler error messages via stack overflow"
    - "the impact of automated parameter optimization on defect prediction models"
    - "learning from positive and unlabeled data a survey"
    - "500 times faster than deep learning a case study exploring faster methods for text mining stackoverflow"
    - "predicting good configurations for github and stack overflow topic models"
    - "xgboost a scalable tree boosting system"
    - "distributed representations of sentences and documents"

Connected through hyperedge HE-2 (induced by source paper "an empirical analysis of vulnerabilities in python packages for web applications"):
  with members:
    - "on the evolution of technical lag in the npm package dependency network"
    - "vulnerable open source dependencies counting those that matter"
    - "toward validation of textual information retrieval techniques for software weaknesses"
    - "attack potential in impact and complexity"
    - "impact assessment for vulnerabilities in open source software libraries"

Connected through hyperedge HE-3 (induced by source paper "towards an open standard for assessing the severity of robot security vulnerabilities the robot vulnerability scoring system rvss"):
  with members:
    - "robot hazards from safety to security"
    - "introducing the robot security framework rsf a standardized methodology to perform security assessments in robotics"

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)