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 "improved provable algorithms for the shortest vector problem via bounded distance decoding"):
  Abstract: The most important computational problem on lattices is the Shortest Vector Problem ($SVP$). In this paper we present new algorithms that improve the state-of-the-art for provable classical/quantum algorithms for $SVP$. We present the following results. #R##N#$\bullet$ A new algorithm for $SVP$ that provides a smooth tradeoff between time complexity and memory requirement. For any positive integer $q>1$, our algorithm takes $q^{\Theta(n)}$ time and requires $q^{\Theta(n/q)}$ memory. In fact, we give a similar time-memory tradeoff for Discrete Gaussian sampling above the smoothing parameter. #R##N#$\bullet$ A quantum algorithm that runs in time $2^{0.9532n+o(n)}$ and requires $2^{0.5n+o(n)}$ classical memory and $poly(n)$ qubits. This improves over the previously fastest classical (which is also the fastest quantum) algorithm due to [ADRS15] that has a time and space complexity $2^{n+o(n)}$. #R##N#$\bullet$ A classical algorithm for $SVP$ that runs in time $2^{1.73n+o(n)}$ time and $2^{0.5n+o(n)}$ space and improves over an algorithm from [CCL18] that has the same space complexity.

Includes members:
  Member "discrete gaussian sampling reduces to cvp and svp":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hardness of bounded distance decoding on lattices in ell_p norms")
  Member "tensor based hardness of the shortest vector problem to within almost polynomial factors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hardness of bounded distance decoding on lattices in ell_p norms")
  Member "improved analysis of kannan s shortest lattice vector algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a note on the security of csidh")

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)