human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the lifecycle of provenance metadata and its associated challenges and opportunities"):
  Abstract: This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication and reuse, and information sciences.

Includes members:
  Member "provenance and data differencing for workflow reproducibility analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cloud infrastructure provenance collection and management to reproduce scientific workflows execution")
  Member "provabs model policy and tooling for abstracting prov graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "viewpoint personal data and the internet of things it is time to care about digital provenance")
  Member "provgen generating synthetic prov graphs with predictable structure":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "loom query aware partitioning of online graphs")
  Member "transitive credit as a means to address social and technological concerns stemming from citation and attribution of digital products":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "software and dependencies in research citation graphs")
  Member "putting lipstick on pig enabling database style workflow provenance":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "priu a provenance based approach for incrementally updating regression models")

Question: Please tell me which class the source paper 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.DB(Databases)