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: "on generic erasure correcting sets and related problems"
  Abstract: Motivated by iterative decoding techniques for the binary erasure channel Hollmann and Tolhuizen introduced and studied the notion of generic erasure correcting sets for linear codes. A generic $(r,s)$--erasure correcting set generates for all codes of codimension $r$ a parity check matrix that allows iterative decoding of all correctable erasure patterns of size $s$ or less. The problem is to derive bounds on the minimum size $F(r,s)$ of generic erasure correcting sets and to find constructions for such sets. In this paper we continue the study of these sets. We derive better lower and upper bounds. Hollmann and Tolhuizen also introduced the stronger notion of $(r,s)$--sets and derived bounds for their minimum size $G(r,s)$. Here also we improve these bounds. We observe that these two conceps are closely related to so called $s$--wise intersecting codes, an area, in which $G(r,s)$ has been studied primarily with respect to ratewise performance. We derive connections. Finally, we observed that hypergraph covering can be used for both problems to derive good upper bounds.

Connected through hyperedge HE-1 (induced by source paper "bounds on separating redundancy of linear codes and rates of x codes"):
  with members:
    - "probabilistic bounds on the trapping redundancy of linear codes"
    - "a combinatorial approach to x tolerant compaction circuits"
    - "the trapping redundancy of linear block codes"
    - "on parity check collections for iterative erasure decoding that correct all correctable erasure patterns of a given size"
    - "results on parity check matrices with optimal stopping and or dead end set enumerators"
    - "on the stopping distance and the stopping redundancy of codes"
    - "improved upper bounds on stopping redundancy"

Connected through hyperedge HE-2 (induced by source paper "stopping sets of algebraic geometry codes"):
  with members:
    - "stopping set distributions of some linear codes"
    - "single exclusion number and the stopping redundancy of mds codes"
    - "permutation decoding and the stopping redundancy hierarchy of cyclic and extended cyclic codes"
    - "on parity check collections for iterative erasure decoding that correct all correctable erasure patterns of a given size"
    - "complete enumeration of stopping sets of full rank parity check matrices of hamming codes"
    - "on the stopping distance and the stopping redundancy of codes"
    - "hard problems of algebraic geometry codes"
    - "improved upper bounds on stopping redundancy"

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)