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: "erasure correction of scalar codes in the presence of stragglers"
  Abstract: Recent advances in coding for distributed storage systems have reignited the interest in scalar codes over extension fields. In parallel, the rise of large-scale distributed systems has motivated the study of computing in the presence of stragglers, i.e., servers that are slow to respond or unavailable. #R##N#This paper addresses storage systems that employ linear codes over extension fields. A common task in such systems is the reconstruction of the entire dataset using sequential symbol transmissions from multiple servers, which are received concurrently at a central data collector. However, a key bottleneck in the reconstruction process is the possible presence of stragglers, which may result in excessive latency. To mitigate the straggler effect, the reconstruction should be possible given any sufficiently large set of sequentially received symbols, regardless of their source. In what follows, an algebraic framework for this scenario is given, and a number of explicit constructions are provided. Our main result is a construction that uses a recursive composition of generalized Reed-Solomon codes over smaller fields. In addition, we show links of this problem to Gabidulin codes and to universally decodable matrices.

Connected through hyperedge HE-1 (induced by source paper "universally decodable matrices for distributed matrix vector multiplication"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "c 3 les codes for coded computation that leverage stragglers"
    - "rateless codes for near perfect load balancing in distributed matrix vector multiplication"
    - "exploitation of stragglers in coded computation"
    - "coded sparse matrix multiplication"
    - "erasure coding for distributed matrix multiplication for matrices with bounded entries"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "short dot computing large linear transforms distributedly using coded short dot products"

Connected through hyperedge HE-2 (induced by source paper "ldpc codes over the q ary multi bit channel"):
  with members:
    - "iterative decoding of ldpc codes over the q ary partial erasure channel"
    - "design of non binary quasi cyclic ldpc codes by ace optimization"
    - "design and analysis of nonbinary ldpc codes for arbitrary discrete memoryless channels"
    - "density evolution thresholds and the stability condition for non binary ldpc 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)