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: "on the tradeoff between stability and fit"
  Abstract: In computing, as in many aspects of life, changes incur cost. Many optimization problems are formulated as a one-time instance starting from scratch. However, a common case that arises is when we already have a set of prior assignments, and must decide how to respond to a new set of constraints, given that each change from the current assignment comes at a price. That is, we would like to maximize the fitness or efficiency of our system, but we need to balance it with the changeout cost from the previous state. #R##N#We provide a precise formulation for this tradeoff and analyze the resulting {\em stable extensions} of some fundamental problems in measurement and analytics. Our main technical contribution is a stable extension of PPS (probability proportional to size) weighted random sampling, with applications to monitoring and anomaly detection problems. We also provide a general framework that applies to top-$k$, minimum spanning tree, and assignment. In both cases, we are able to provide exact solutions, and discuss efficient incremental algorithms that can find new solutions as the input changes.

Connected through hyperedge HE-1 (induced by source paper "lp based algorithms for multistage minimization problems"):
  with members:
    - "multistage vertex cover"
    - "online multistage subset maximization problems"
    - "multistage knapsack"
    - "changing bases multistage optimization for matroids and matchings"
    - "facility location in evolving metrics"
    - "dynamic facility location via exponential clocks"
    - "the power of deferral maintaining a constant competitive steiner tree online"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

Connected through hyperedge HE-2 (induced by source paper "online multistage subset maximization problems"):
  with members:
    - "changing bases multistage optimization for matroids and matchings"
    - "facility location in evolving metrics"
    - "dynamic facility location via exponential clocks"

Connected through hyperedge HE-3 (induced by source paper "multistage knapsack"):
  with members:
    - "changing bases multistage optimization for matroids and matchings"
    - "facility location in evolving metrics"
    - "the power of deferral maintaining a constant competitive steiner tree online"

Connected through hyperedge HE-4 (induced by source paper "changing bases multistage optimization for matroids and matchings"):
  with members:
    - "the power of deferral maintaining a constant competitive steiner tree online"
    - "approximating sparse covering integer programs online"

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.DS(Data Structures and Algorithms)