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 "routing games in the wild efficiency equilibration and regret large scale field experiments in singapore"):
  Abstract: Routing games are amongst the most well studied domains of game theory. How relevant are these pen-and-paper calculations to understanding the reality of everyday traffic routing? We focus on a semantically rich dataset that captures detailed information about the daily behavior of thousands of Singaporean commuters and examine the following basic questions: (i) Does the traffic equilibrate? (ii) Is the system behavior consistent with latency minimizing agents? (iii) Is the resulting system efficient? In order to capture the efficiency of the traffic network in a way that agrees with our everyday intuition we introduce a new metric, the stress of catastrophe, which reflects the combined inefficiencies of both tragedy of the commons as well as price of anarchy effects.

Includes members:
  Member "power saving transportation mode identification for large scale applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "how bad is selfish routing in practice")
  Member "learning and trust in auction markets":
    also connected through other hyperedges:
      (none)
  Member "data driven estimation of origin destination demand and user cost functions for the optimization of transportation networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how bad is selfish routing in practice")
  Member "on the price of anarchy of highly congested nonatomic network games":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the route to chaos in routing games when is price of anarchy too optimistic")
  Member "the price of anarchy in large games":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "convergence of large atomic congestion games")
  Member "robust data driven guarantees in auctions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "how bad is selfish routing in practice")
  Member "learning in auctions regret is hard envy is easy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning reserve prices in second price auctions")
  Member "econometrics for learning agents":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robust multi agent counterfactual prediction")

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.GT(Computer Science and Game Theory)