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: "universal and dynamic locally repairable codes with maximal recoverability via sum rank codes"
  Abstract: Locally repairable codes (LRCs) are considered with equal or unequal localities, local distances and local field sizes. An explicit two-layer architecture with a sum-rank outer code is obtained, having disjoint local groups and achieving maximal recoverability (MR) for all families of local linear codes (MDS or not) simultaneously, up to a specified maximum locality $ r $. Furthermore, the local linear codes (thus the localities, local distances and local fields) can be efficiently and dynamically modified without global recoding or changes in architecture or outer code, while preserving the MR property, easily adapting to new configurations in storage or new hot and cold data. In addition, local groups and file components can be added, removed or updated without global recoding. The construction requires global fields of size roughly $ g^r $, for $ g $ local groups and maximum or specified locality $ r $. For equal localities, these global fields are smaller than those of previous MR-LRCs when $ r \leq h $ (global parities). For unequal localities, they provide an exponential field size reduction on all previous best known MR-LRCs. For bounded localities and a large number of local groups, the global erasure-correction complexity of the given construction is comparable to that of Tamo-Barg codes or Reed-Solomon codes with local replication, while local repair is as efficient as for the Cartesian product of the local codes. Reed-Solomon codes with local replication and Cartesian products are recovered from the given construction when $ r=1 $ and $ h = 0 $, respectively. The given construction can also be adapted to provide hierarchical MR-LRCs for all types of hierarchies and parameters. Finally, subextension subcodes and sum-rank alternant codes are introduced to obtain further exponential field size reductions, at the expense of lower information rates.

Connected through hyperedge HE-1 (induced by source paper "on optimal locally repairable codes and generalized sector disk codes"):
  with members:
    - "array codes with local properties"
    - "how long can optimal locally repairable codes be"
    - "explicit construction of optimal locally recoverable codes of distance 5 and 6 via binary constant weight codes"
    - "on optimal locally repairable codes with super linear length"
    - "explicit optimal length locally repairable codes of distance 5"
    - "locality and availability of array codes constructed from subspaces"
    - "optimal locally repairable codes via elliptic curves"
    - "bounds and constructions of codes with multiple localities"

Connected through hyperedge HE-2 (induced by source paper "on error decoding of locally repairable and partial mds codes"):
  with members:
    - "on decoding and applications of interleaved goppa codes"
    - "improved power decoding of interleaved one point hermitian codes"
    - "a public key cryptosystem from interleaved goppa codes"
    - "list decoding of locally repairable codes"
    - "fractional decoding error correction from partial information"
    - "a complete classification of partial mds maximally recoverable codes with one global parity"
    - "decoding of interleaved reed solomon codes using improved power decoding"
    - "maximally recoverable codes for grid like topologies"

Connected through hyperedge HE-3 (induced by source paper "locally repairable convolutional codes with sliding window repair"):
  with members:
    - "reliable and secure multishot network coding using linearized reed solomon codes"
    - "locally repairable codes with unequal local erasure correction"
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "bounds and constructions of codes with multiple localities"
    - "codes with unequal locality"
    - "superregular matrices and applications to convolutional codes"
    - "convolutional codes in rank metric with application to random network coding"
    - "convolutional codes with maximum column sum rank for network streaming"

Connected through hyperedge HE-4 (induced by source paper "hamming and simplex codes for the sum rank metric"):
  with members:
    - "reliable and secure multishot network coding using linearized reed solomon codes"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "partial spreads in random network coding"
    - "on the locality of codeword symbols"
    - "multishot codes for network coding using rank metric codes"
    - "coding for errors and erasures in random network coding"
    - "properties of codes in rank metric"

Connected through hyperedge HE-5 (induced by source paper "maximally recoverable codes with hierarchical locality"):
  with members:
    - "constructions of maximally recoverable local reconstruction codes via function fields"
    - "new constructions of sd and mr codes over small finite fields"
    - "codes with hierarchical locality"
    - "explicit maximally recoverable codes with locality"
    - "partial mds codes and their application to raid type of architectures"
    - "on the locality of codeword symbols"

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)