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: "synchronization strings codes for insertions and deletions approaching the singleton bound"
  Abstract: We introduce synchronization strings, which provide a novel way of efficiently dealing with synchronization errors, i.e., insertions and deletions. Synchronization errors are strictly more general and much harder to deal with than more commonly considered half-errors, i.e., symbol corruptions and erasures. For every e > 0, synchronization strings allow to index a sequence with an e-O(1) size alphabet such that one can efficiently transform k synchronization errors into (1 + e)k half-errors. This powerful new technique has many applications. In this paper we focus on designing insdel codes, i.e., error correcting block codes (ECCs) for insertion deletion channels.       While ECCs for both half-errors and synchronization errors have been intensely studied, the later has largely resisted progress. As Mitzenmacher puts it in his 2009 survey: "Channels with synchronization errors ... are simply not adequately understood by current theory. Given the near-complete knowledge we have for channels with erasures and errors ... our lack of understanding about channels with synchronization errors is truly remarkable." Indeed, it took until 1999 for the first insdel codes with constant rate, constant distance, and constant alphabet size to be constructed and only since 2016 are there constructions of constant rate indel codes for asymptotically large noise rates. Even in the asymptotically large or small noise regime these codes are polynomially far from the optimal rate-distance tradeoff. This makes the understanding of insdel codes up to this work equivalent to what was known for regular ECCs after Forney introduced concatenated codes in his doctoral thesis 50 years ago.       A straight forward application of our synchronization strings based indexing method gives a simple black-box construction which transforms any ECC into an equally efficient insdel code with only a small increase in the alphabet size. This instantly transfers much of the highly developed understanding for regular ECCs over large constant alphabets into the realm of insdel codes. Most notably, for the complete noise spectrum we obtain efficient "near-MDS" insdel codes which get arbitrarily close to the optimal rate-distance tradeoff given by the Singleton bound. In particular, for any δ ∈ (0,1) and e > 0 we give insdel codes achieving a rate of 1 - ξ - e over a constant size alphabet that efficiently correct a δ fraction of insertions or deletions.

Connected through hyperedge HE-1 (induced by source paper "locally decodable codes with randomized encoding"):
  with members:
    - "optimal document exchange and new codes for small number of insertions and deletions"
    - "deterministic document exchange protocols and almost optimal binary codes for edit errors"
    - "block edit errors with transpositions deterministic document exchange protocols and almost optimal binary codes"
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "an improved bound on the fraction of correctable deletions"

Connected through hyperedge HE-2 (induced by source paper "optimal codes correcting a burst of deletions of variable length"):
  with members:
    - "zero error capacity of duplication channels"
    - "optimal k deletion correcting codes"
    - "optimal document exchange and new codes for insertions and deletions"
    - "an improvement of non binary code correcting single b burst of insertions or deletions"
    - "polynomial time decodable codes for the binary deletion channel"
    - "duplication correcting codes for data storage in the dna of living organisms"
    - "codes correcting a burst of deletions or insertions"
    - "efficient low redundancy codes for correcting multiple deletions"

Connected through hyperedge HE-3 (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-4 (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"
    - "on the list decodability of insertions and deletions"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "near linear time insertion deletion codes and 1 e approximating edit distance via indexing"):
  with members:
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "multivariate fine grained complexity of longest common subsequence"
    - "approximating edit distance in truly subquadratic time quantum and mapreduce"
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"

Connected through hyperedge HE-6 (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"
    - "on the list decodability of insertions and deletions"
    - "synchronization strings list decoding for insertions and deletions"
    - "list decoding of insertions and deletions"
    - "bounds on codes correcting tandem and palindromic duplications"
    - "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-7 (induced by source paper "coded trace reconstruction in a constant number of traces"):
  with members:
    - "coding for deletion channels with multiple traces"
    - "coded trace reconstruction"
    - "beyond trace reconstruction population recovery from the deletion channel"
    - "trace reconstruction generalized and parameterized"
    - "unique reconstruction of coded strings from multiset substring spectra"
    - "capacity upper bounds for deletion type channels"
    - "average case reconstruction for the deletion channel subpolynomially many traces suffice"
    - "polynomial time decodable codes for the binary deletion channel"

Connected through hyperedge HE-8 (induced by source paper "bit flipping moment balancing schemes for insertion deletion and substitution error correction"):
  with members:
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "polynomial time decodable codes for the binary deletion channel"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "coding against deletions in oblivious and online models"
    - "codes correcting a burst of deletions or insertions"

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)