human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "sharp bounds on davenport schinzel sequences of every order"
  Abstract: One of the longest-standing open problems in computational geometry is to bound the lower envelope of $n$ univariate functions, each pair of which crosses at most $s$ times, for some fixed $s$. This problem is known to be equivalent to bounding the length of an order-$s$ Davenport-Schinzel sequence, namely a sequence over an $n$-letter alphabet that avoids alternating subsequences of the form $a \cdots b \cdots a \cdots b \cdots$ with length $s+2$. These sequences were introduced by Davenport and Schinzel in 1965 to model a certain problem in differential equations and have since been applied to bounding the running times of geometric algorithms, data structures, and the combinatorial complexity of geometric arrangements. #R##N#Let $\lambda_s(n)$ be the maximum length of an order-$s$ DS sequence over $n$ letters. What is $\lambda_s$ asymptotically? This question has been answered satisfactorily (by Hart and Sharir, Agarwal, Sharir, and Shor, Klazar, and Nivasch) when $s$ is even or $s\le 3$. However, since the work of Agarwal, Sharir, and Shor in the mid-1980s there has been a persistent gap in our understanding of the odd orders. #R##N#In this work we effectively close the problem by establishing sharp bounds on Davenport-Schinzel sequences of every order $s$. Our results reveal that, contrary to one's intuition, $\lambda_s(n)$ behaves essentially like $\lambda_{s-1}(n)$ when $s$ is odd. This refutes conjectures due to Alon et al. (2008) and Nivasch (2010).

Connected through hyperedge HE-1 (induced by source paper "an algorithm for bounding extremal functions of forbidden sequences"):
  with members:
    - "bounding sequence extremal functions with formations"
    - "improved bounds and new techniques for davenport schinzel sequences and their generalizations"

Connected through hyperedge HE-2 (induced by source paper "on the zone of a circle in an arrangement of lines"):
  with members:
    - "on the zone of the boundary of a convex body"
    - "improved bounds and new techniques for davenport schinzel sequences and their generalizations"
    - "splay trees davenport schinzel sequences and the deque conjecture"

Connected through hyperedge HE-3 (induced by source paper "kinetic k semi yao graph and its applications"):
  with members:
    - "kinetic reverse k nearest neighbor problem"
    - "towards tight bounds on theta graphs"
    - "kinetic data structures for the semi yao graph and all nearest neighbors in r d"
    - "a simple faster method for kinetic proximity problems"
    - "orthogonal range searching on the ram revisited"
    - "reverse nearest neighbor queries in fixed dimension"

Connected through hyperedge HE-4 (induced by source paper "on the complexity of randomly weighted voronoi diagrams"):
  with members:
    - "union of random minkowski sums and network vulnerability analysis"
    - "on the expected complexity of voronoi diagrams on terrains"
    - "on the expected complexity of random convex hulls"

Connected through hyperedge HE-5 (induced by source paper "a simple faster method for kinetic proximity problems"):
  with members:
    - "on kinetic delaunay triangulations a near quadratic bound for unit speed motions"
    - "on topological changes in the delaunay triangulation of moving points"
    - "kinetic stable delaunay graphs"

Connected through hyperedge HE-6 (induced by source paper "how to place a point to maximize angles"):
  with members:
    - "optimal point placement for mesh smoothing"

Question: Please tell me which class the center node 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.DM(Discrete Mathematics)