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 "an anti folk theorem for large repeated games with imperfect monitoring"):
  Abstract: We study infinitely repeated games in settings of imperfect monitoring. We first prove a family of theorems that show that when the signals observed by the players satisfy a condition known as $(\epsilon, \gamma)$-differential privacy, that the folk theorem has little bite: for values of $\epsilon$ and $\gamma$ sufficiently small, for a fixed discount factor, any equilibrium of the repeated game involve players playing approximate equilibria of the stage game in every period. Next, we argue that in large games ($n$ player games in which unilateral deviations by single players have only a small impact on the utility of other players), many monitoring settings naturally lead to signals that satisfy $(\epsilon,\gamma)$-differential privacy, for $\epsilon$ and $\gamma$ tending to zero as the number of players $n$ grows large. We conclude that in such settings, the set of equilibria of the repeated game collapse to the set of equilibria of the stage game.

Includes members:
  Member "redrawing the boundaries on purchasing data from privacy sensitive individuals":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "prior free data acquisition for accurate statistical estimation")
  Member "the truth behind the myth of the folk theorem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the non existence of nash equilibrium in games with resource bounded players")
  Member "asymptotically truthful equilibrium selection in large congestion games":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "differentially private call auctions and market impact")
  Member "mechanism design in large games incentives and privacy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "differentially private call auctions and market impact")
  Member "beating randomized response on incoherent matrices":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mvg mechanism differential privacy under matrix valued query")
  Member "truthful mechanisms for agents that value privacy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "differential privacy at risk bridging randomness and privacy budget")
  Member "privacy aware mechanism design":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "price of privacy in the keynesian beauty contest")
  Member "approximately optimal mechanism design via differential privacy":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "facility location problem in differential privacy model revisited")

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)