human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "sharp analytical capacity upper bounds for sticky and related channels"):
  Abstract: We study natural examples of binary channels with synchronization errors. These include the duplication channel, which independently outputs a given bit once or twice, and geometric channels that repeat a given bit according to a geometric rule, with or without the possibility of bit deletion. We apply the general framework of Cheraghchi (STOC 2018) to obtain sharp analytical upper bounds on the capacity of these channels. Previously, upper bounds were known via numerical computations involving the computation of finite approximations of the channels by a computer and then using the obtained numerical results to upper bound the actual capacity. While leading to sharp numerical results, further progress on the full understanding of the channel capacity inherently remains elusive using such methods. Our results can be regarded as a major step towards a complete understanding of the capacity curves. Quantitatively, our upper bounds sharply approach, and in some cases surpass, the bounds that were previously only known by purely numerical methods. Among our results, we notably give a completely analytical proof that, when the number of repetitions per bit is geometric (supported on $\{0,1,2,\dots\}$) with mean growing to infinity, the channel capacity remains substantially bounded away from $1$.

Includes members:
  Member "optimal document exchange and new codes for small number of insertions and deletions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "locally decodable codes with randomized encoding")
  Member "capacity upper bounds for deletion type channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "on the capacity of channels with timing synchronization errors":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "bounds on the capacity of random insertion and deletion additive noise channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "achievable rates for channels with deletions and insertions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "achievable rates for noisy channels with synchronization errors":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "novel bounds on the capacity of the binary deletion channel":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an overview of capacity results for synchronization channels")

Question: Please tell me which class the source paper 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)