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 "optimal document exchange and new codes for insertions and deletions"):
  Abstract: We give the first communication-optimal document exchange protocol. For any $n$ and $k < n$ our randomized scheme takes any $n$-bit file $F$ and computes a $\Theta(k \log \frac{n}{k})$-bit summary from which one can reconstruct $F$, with high probability, given a related file $F'$ with edit distance $ED(F,F') \leq k$. #R##N#The size of our summary is information-theoretically order optimal for all values of $k$, giving a randomized solution to a longstanding open question of [Orlitsky; FOCS'91]. It also is the first non-trivial solution for the interesting setting where a small constant fraction of symbols have been edited, producing an optimal summary of size $O(H(\delta)n)$ for $k=\delta n$. This concludes a long series of better-and-better protocols which produce larger summaries for sub-linear values of $k$ and sub-polynomial failure probabilities. In particular, the recent break-through of [Belazzougui, Zhang; FOCS'16] assumes that $k < n^\epsilon$, produces a summary of size $O(k\log^2 k + k\log n)$, and succeeds with probability $1-(k \log n)^{-O(1)}$. #R##N#We also give an efficient derandomized document exchange protocol with summary size $O(k \log^2 \frac{n}{k})$. This improves, for any $k$, over a deterministic document exchange protocol by Belazzougui with summary size $O(k^2 + k \log^2 n)$. Our deterministic document exchange directly provides new efficient systematic error correcting codes for insertions and deletions. These (binary) codes correct any $\delta$ fraction of adversarial insertions/deletions while having a rate of $1 - O(\delta \log^2 \frac{1}{\delta})$ and improve over the codes of Guruswami and Li and Haeupler, Shahrasbi and Vitercik which have rate $1 - \Theta\left(\sqrt{\delta} \log^{O(1)} \frac{1}{\epsilon}\right)$.

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 "deterministic document exchange protocols and almost optimal binary codes for edit errors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "locally decodable codes with randomized encoding")
  Member "synchronization strings channel simulations and interactive coding for insertions and deletions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "locally decodable codes with randomized encoding")
  Member "synchronization strings explicit constructions local decoding and applications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "locally decodable codes with randomized encoding")
  Member "synchronization strings codes for insertions and deletions approaching the singleton bound":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "locally decodable codes with randomized encoding")
  Member "efficiently decodable insertion deletion codes for high noise and high rate regimes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "locally decodable codes with randomized encoding")
  Member "edit distance sketching streaming and document exchange":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "streaming with oracle new streaming algorithms for edit distance and lcs")
  Member "an improved bound on the fraction of correctable deletions":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "locally decodable codes with randomized encoding")

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.DS(Data Structures and Algorithms)