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 "nearly optimal static las vegas succinct dictionary"):
  Abstract: Given a set $S$ of $n$ (distinct) keys from key space $[U]$, each associated with a value from $\Sigma$, the \emph{static dictionary} problem asks to preprocess these (key, value) pairs into a data structure, supporting value-retrieval queries: for any given $x\in [U]$, $\mathtt{valRet}(x)$ must return the value associated with $x$ if $x\in S$, or return $\bot$ if $x\notin S$. The special case where $|\Sigma|=1$ is called the \emph{membership} problem. The "textbook" solution is to use a hash table, which occupies linear space and answers each query in constant time. On the other hand, the minimum possible space to encode all (key, value) pairs is only $\mathtt{OPT}:= \lceil\lg_2\binom{U}{n}+n\lg_2|\Sigma|\rceil$ bits, which could be much less. #R##N#In this paper, we design a randomized dictionary data structure using $\mathtt{OPT}+\mathrm{poly}\lg n+O(\lg\lg\lg\lg\lg U)$ bits of space, and it has \emph{expected constant} query time, assuming the query algorithm can access an external lookup table of size $n^{0.001}$. The lookup table depends only on $U$, $n$ and $|\Sigma|$, and not the input. Previously, even for membership queries and $U\leq n^{O(1)}$, the best known data structure with constant query time requires $\mathtt{OPT}+n/\mathrm{poly}\lg n$ bits of space (Pagh [Pag01] and Pǎtrascu [Pat08]); the best-known using $\mathtt{OPT}+n^{0.999}$ space has query time $O(\lg n)$; the only known non-trivial data structure with $\mathtt{OPT}+n^{0.001}$ space has $O(\lg n)$ query time and requires a lookup table of size $\geq n^{2.99}$ (!). Our new data structure answers open questions by Pǎtrascu and Thorup [Pat08,Tho13].

Includes members:
  Member "how to store a random walk":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "o log log n worst case local decoding and update efficiency for data compression")
  Member "optimal succinct rank data structure via approximate nonnegative tensor decomposition":
    also connected through other hyperedges:
      (none)
  Member "more haste less waste lowering the redundancy in fully indexable dictionaries":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "four dimensional dominance range reporting in linear space")
  Member "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "path query data structures in practice")

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)