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 "when should i make preservation copies of myself"):
  Abstract: We investigate how different preservation policies ranging from least aggressive to Most aggressive affect the level of preservation achieved by autonomic processes used by smart digital objects (DOs). The mechanisms used to support preservation across different hosts can be used for automatic link generation and support preservation activities by moving data preservation from an archive centric perspective to a data centric preservation. Based on simulations of small-world graphs of DOs created using the Unsupervised Small-World algorithm, we report quantitative and qualitative results for graphs ranging in size from 10 to 5000 DOs. Our results show that a Most aggressive preservation policy makes the best use of distributed host resources while using one half of the number of messages of a Moderately aggressive preservation policy.

Includes members:
  Member "resurrecting my revolution using social link neighborhood in bringing context to the disappearing web":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantifying orphaned annotations in hypothes is")
  Member "the mellon fedora project digital library architecture meets xml and web services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "using first order logic to reason about policies")
  Member "http mailbox asynchronous restful communication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "archive assisted archival fixity verification framework")
  Member "analysis of graphs for digital preservation suitability":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "http mailbox asynchronous restful communication")
  Member "from random graph to small world by wandering":
    also connected through other hyperedges:
      (none)
  Member "object re use exchange a resource centric approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "discovering scholarly orphans using orcid")
  Member "adore a modular standards based digital object repository":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the adore federation architecture")
  Member "requirements for digital preservation systems a bottom up approach":
    also connected through other hyperedges:
      (none)

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.DL(Digital Libraries)