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: "coding against deletions in oblivious and online models"
  Abstract: We consider binary error correcting codes when errors are deletions. A basic challenge concerning deletion codes is determining $p_0^{(adv)}$, the zero-rate threshold of adversarial deletions, defined to be the supremum of all $p$ for which there exists a code family with rate bounded away from 0 capable of correcting a fraction $p$ of adversarial deletions. A recent construction of deletion-correcting codes [Bukh et al 17] shows that $p_0^{(adv)} \ge \sqrt{2}-1$, and the trivial upper bound, $p_0^{(adv)}\le\frac{1}{2}$, is the best known. Perhaps surprisingly, we do not know whether or not $p_0^{(adv)} = 1/2$. #R##N#In this work, to gain further insight into deletion codes, we explore two related error models: oblivious deletions and online deletions, which are in between random and adversarial deletions in power. In the oblivious model, the channel can inflict an arbitrary pattern of $pn$ deletions, picked without knowledge of the codeword. We prove the existence of binary codes of positive rate that can correct any fraction $p < 1$ of oblivious deletions, establishing that the associated zero-rate threshold $p_0^{(obliv)}$ equals $1$. #R##N#For online deletions, where the channel decides whether to delete bit $x_i$ based only on knowledge of bits $x_1x_2\dots x_i$, define the deterministic zero-rate threshold for online deletions $p_0^{(on,d)}$ to be the supremum of $p$ for which there exist deterministic codes against an online channel causing $pn$ deletions with low average probability of error. That is, the probability that a randomly chosen codeword is decoded incorrectly is small. We prove $p_0^{(adv)}=\frac{1}{2}$ if and only if $p_0^{(on,d)}=\frac{1}{2}$.

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 "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"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "capacity upper bounds for deletion type channels"):
  with members:
    - "sharp analytical capacity upper bounds for sticky and related channels"
    - "expressions for the entropy of binomial type distributions"
    - "edit distance sketching streaming and document exchange"
    - "an improved bound on the fraction of correctable deletions"
    - "efficient low redundancy codes for correcting multiple deletions"
    - "deletion codes in the high noise and high rate regimes"
    - "list decoding subspace codes from insertions and deletions"
    - "a new bound for the capacity of the deletion channel with high deletion probabilities"

Connected through hyperedge HE-4 (induced by source paper "list decoding of deletions using guess check codes"):
  with members:
    - "list decoding of insertions and deletions"
    - "codes correcting two deletions"
    - "multilayer codes for synchronization from deletions"
    - "guess check codes for deletions insertions and synchronization"
    - "efficient low redundancy codes for correcting multiple deletions"
    - "low complexity interactive algorithms for synchronization from deletions insertions and substitutions"
    - "deletion codes in the high noise and high rate regimes"
    - "an improvement to levenshtein s upper bound on the cardinality of deletion correcting codes"

Connected through hyperedge HE-5 (induced by source paper "polynomial time decodable codes for the binary deletion channel"):
  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"
    - "capacity upper bounds for deletion type channels"
    - "optimal document exchange and new codes 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"
    - "an improved bound on the fraction of correctable deletions"
    - "efficient low redundancy codes for correcting multiple deletions"

Connected through hyperedge HE-6 (induced by source paper "guess check codes for deletions insertions and synchronization"):
  with members:
    - "guess check codes for deletions and synchronization"
    - "codes in the damerau distance for dna storage"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "efficient low redundancy codes for correcting multiple deletions"
    - "low complexity interactive algorithms for synchronization from deletions insertions and substitutions"
    - "achievable rates for channels with deletions and insertions"
    - "an improvement to levenshtein s upper bound on the cardinality of deletion correcting codes"
    - "a deterministic polynomial time protocol for synchronizing from deletions"

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)