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 "on minimizing data read and download for storage node recovery"):
  Abstract: We consider the problem of efficient recovery of the data stored in any individual node of a distributed storage system, from the rest of the nodes. Applications include handling failures and degraded reads. We measure efficiency in terms of the amount of data-read and the download required. To minimize the download, we focus on the minimum bandwidth setting of the 'regenerating codes' model for distributed storage. Under this model, the system has a total of n nodes, and the data stored in any node must be (efficiently) recoverable from any d of the other (n-1) nodes. Lower bounds on the two metrics under this model were derived previously; it has also been shown that these bounds are achievable for the amount of data-read and download when d=n-1, and for the amount of download alone when d≠ n-1. In this paper, we complete the picture by proving the converse result, that when d≠ n-1, these lower bounds are strictly loose with respect to the amount of read required. The proof is information-theoretic, and hence applies to non-linear codes as well. We also show that under two (practical) relaxations of the problem setting, these lower bounds can be met for both read and download simultaneously.

Includes members:
  Member "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enabling optimal access and error correction for the repair of reed solomon codes")
  Member "interference alignment in regenerating codes for distributed storage necessity and code constructions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "conditional disclosure of secrets a noise and signal alignment approach")
  Member "mds array codes with optimal rebuilding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "speeding up distributed machine learning using codes")
  Member "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "enabling optimal access and error correction for the repair of reed solomon codes")
  Member "fractional repetition codes for repair in distributed storage systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "numerically stable binary gradient coding")
  Member "explicit construction of optimal exact regenerating codes for distributed storage":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimal fraction repetition codes for access balancing in distributed storage")

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.IT(Information Theory)