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: "compressed differential erasure codes for efficient archival of versioned data"
  Abstract: In this paper, we study the problem of storing an archive of versioned data in a reliable and efficient manner in distributed storage systems. We propose a new storage technique called differential erasure coding (DEC) where the differences (deltas) between subsequent versions are stored rather than the whole objects, akin to a typical delta encoding technique. However, unlike delta encoding techniques, DEC opportunistically exploits the sparsity (i.e., when the differences between two successive versions have few non-zero entries) in the updates to store the deltas using compressed sensing techniques applied with erasure coding. We first show that DEC provides significant savings in the storage size for versioned data whenever the update patterns are characterized by in-place alterations. Subsequently, we propose a practical DEC framework so as to reap storage size benefits against not just in-place alterations but also real-world update patterns such as insertions and deletions that alter the overall data sizes. We conduct experiments with several synthetic workloads to demonstrate that the practical variant of DEC provides significant reductions in storage overhead (up to 60\% depending on the workload) compared to baseline storage system which incorporates concepts from Rsync, a delta encoding technique to store and synchronize data across a network.

Connected through hyperedge HE-1 (induced by source paper "harnessing correlations in distributed erasure coded key value stores"):
  with members:
    - "on coding for cache aided delivery of dynamic correlated content"
    - "storage efficient shared memory emulation"
    - "a layered architecture for erasure coded consistent distributed storage"
    - "multi version coding for consistent distributed storage of correlated data updates"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "correlation aware distributed caching and coded delivery"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "multi version coding an information theoretic perspective of consistent distributed storage"

Connected through hyperedge HE-2 (induced by source paper "multi version coding an information theoretic perspective of consistent distributed storage"):
  with members:
    - "a layered architecture for erasure coded consistent distributed storage"
    - "radon repairable atomic data object in networks"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "content type coding"
    - "synchronizing edits in distributed storage networks"
    - "fundamental limits on communication for oblivious updates in storage networks"
    - "characterizing the rate region of the 4 3 3 exact repair regenerating codes"

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.IT(Information Theory)