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: "a new bound for the capacity of the deletion channel with high deletion probabilities"
  Abstract: Let $C(d)$ be the capacity of the binary deletion channel with deletion probability $d$. It was proved by Drinea and Mitzenmacher that, for all $d$, $C(d)/(1-d)\geq 0.1185 $. Fertonani and Duman recently showed that $\limsup_{d\to 1}C(d)/(1-d)\leq 0.49$. In this paper, it is proved that $\lim_{d\to 1}C(d)/(1-d)$ exists and is equal to $\inf_{d}C(d)/(1-d)$. This result suggests the conjecture that the curve $C(d)$ my be convex in the interval $d\in [0,1]$. Furthermore, using currently known bounds for $C(d)$, it leads to the upper bound $\lim_{d\to 1}C(d)/(1-d)\leq 0.4143$.

Connected through hyperedge HE-1 (induced by source paper "explicit and efficient constructions of coding schemes for the binary deletion channel and the poisson repeat channel"):
  with members:
    - "capacity upper bounds for deletion type channels"
    - "polynomial time decodable codes for the binary deletion channel"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "an improved bound on the fraction of correctable deletions"
    - "deletion codes in the high noise and high rate regimes"

Connected through hyperedge HE-2 (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"
    - "coding against deletions in oblivious and online models"
    - "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"

Connected through hyperedge HE-3 (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"
    - "coding against deletions in oblivious and online models"
    - "an improved bound on the fraction of correctable deletions"

Connected through hyperedge HE-4 (induced by source paper "a note on the deletion channel capacity"):
  with members:
    - "novel bounds on the capacity of the binary deletion channel"

Connected through hyperedge HE-5 (induced by source paper "modeling and information rates for synchronization error channels"):
  with members:
    - "on the deletion channel with small deletion probability"
    - "novel bounds on the capacity of the binary deletion channel"

Connected through hyperedge HE-6 (induced by source paper "optimal coding for the deletion channel with small deletion probability"):
  with members:
    - "on the deletion channel with small deletion probability"

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)