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 the list decodability of insertions and deletions"
  Abstract: List decoding of insertions and deletions is studied. A Johnson-type upper bound on the maximum list size is derived. The bound is meaningful only when insertions occur. The result implies that, there are binary codes that are potentially list-decodable from a $0.707$-fraction of insertions in polynomial time. For non-binary code, for any constant $\tau >0$, there are codes over constant-sized alphabets that achieve a constant list size for a list-decoding radius that is $\tau$ times larger than the code length. Efficient encoding and decoding algorithms are also presented for codes with list-decoding radius approaching the above bound. Based on the Johnson-type bound, a Plotkin-type upper bound on the code size in the Levenshtein metric is derived.

Connected through hyperedge HE-1 (induced by source paper "an overview of capacity results for synchronization channels"):
  with members:
    - "coding for deletion channels with multiple traces"
    - "coded trace reconstruction"
    - "coded trace reconstruction in a constant number of traces"
    - "optimally resilient codes for list decoding from insertions and deletions"
    - "zero error capacity of duplication channels"
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "maximum likelihood upper bounds on the capacities of discrete information stable channels"
    - "sharp analytical capacity upper bounds for sticky and related channels"

Connected through hyperedge HE-2 (induced by source paper "optimally resilient codes for list decoding from insertions and deletions"):
  with members:
    - "list decoding of insertion and deletion codes"
    - "explicit constructions of two dimensional reed solomon codes in high insertion and deletion noise regime"
    - "near linear time insertion deletion codes and 1 e approximating edit distance via indexing"
    - "general strong polarization"
    - "synchronization strings list decoding for insertions and deletions"
    - "deterministic document exchange protocols and almost optimal binary codes for edit errors"
    - "optimal document exchange and new codes for insertions and deletions"
    - "block edit errors with transpositions deterministic document exchange protocols and almost optimal binary codes"

Connected through hyperedge HE-3 (induced by source paper "on list decoding of insertion and deletion errors"):
  with members:
    - "near linear time insertion deletion codes and 1 e approximating edit distance via indexing"
    - "synchronization strings list decoding for insertions and deletions"
    - "list decoding of insertions and deletions"
    - "bounds on codes correcting tandem and palindromic duplications"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "codes correcting a burst of deletions or insertions"
    - "efficient low redundancy codes for correcting multiple deletions"

Connected through hyperedge HE-4 (induced by source paper "explicit constructions of two dimensional reed solomon codes in high insertion and deletion noise regime"):
  with members:
    - "on list decoding of insertion and deletion errors"
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "optimal rate list decoding via derivative codes"
    - "maximum likelihood decoding of reed solomon codes is np hard"

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)