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 "reconstructing a convex polygon from its omega cloud"):
  Abstract: An $\omega$-wedge is the (closed) set of all points contained between two rays that are emanating from a single point (the apex), and are separated by an angle $\omega < \pi$. Given a convex polygon $P$, we place the $\omega$-wedge such that $P$ is inside the wedge and both rays are tangent to $P$. The $\omega$-cloud of $P$ is the curve traced by the apex of the $\omega$-wedge as it rotates around $P$ while maintaining tangency in both rays. #R##N#We investigate reconstructing a polygon $P$ from its $\omega$-cloud. Previous work on reconstructing $P$ from probes with the $\omega$-wedge required knowledge of the points of tangency between $P$ the two rays of the $\omega$-wedge. #R##N#Here we show that if $\omega$ is known, the $\omega$-cloud alone uniquely determines $P$, and we give a linear-time reconstruction algorithm. Furthermore, even if we only know that $\omega < \pi/2$, we can still reconstruct $P$, albeit in cubic time in the number of vertices. This reduces to quadratic time if in addition we are given the location of one of the vertices of $P$.

Includes members:
  Member "probing convex polygons with a wedge":
    also connected through other hyperedges:
      (none)
  Member "highway hull revisited":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal time convex hull under the lp metrics")

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.CG(Computational Geometry)