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 "multiple birds with one stone beating 1 2 for efx and gmms via envy cycle elimination"):
  Abstract: Several relaxations of envy-freeness, tailored to fair division in settings with indivisible goods, have been introduced within the last decade. Due to the lack of general existence results for most of these concepts, great attention has been paid to establishing approximation guarantees. In this work, we propose a simple algorithm that is universally fair in the sense that it returns allocations that have good approximation guarantees with respect to four such fairness notions at once. In particular, this is the first algorithm achieving a $(\phi -1)$-approximation of envy-freeness up to any good (EFX) and a $\frac{2}{\phi +2}$-approximation of groupwise maximin share fairness (GMMS), where $\phi$ is the golden ratio ($\phi \approx 1.618$). The best known approximation factor for either one of these fairness notions prior to this work was $1/2$. Moreover, the returned allocation achieves envy-freeness up to one good (EF1) and a $2/3$-approximation of pairwise maximin share fairness (PMMS). While EFX is our primary focus, we also exhibit how to fine-tune our algorithm and improve the guarantees for GMMS or PMMS. #R##N#Finally, we show that GMMS -and thus PMMS and EFX- allocations always exist when the number of goods does not exceed the number of agents by more than two.

Includes members:
  Member "envy freeness up to any item with high nash welfare the virtue of donating items":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "maximum nash welfare and other stories about efx")
  Member "a little charity guarantees almost envy freeness":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fair and truthful mechanisms for dichotomous valuations")
  Member "maximin aware allocations of indivisible goods":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "maximum nash welfare and other stories about efx")
  Member "truthful allocation mechanisms without payments characterization and implications on fairness":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fair and truthful mechanisms for dichotomous valuations")
  Member "groupwise maximin fair allocation of indivisible goods":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "maximin fairness with mixed divisible and indivisible goods")
  Member "approximation algorithms for computing maximin share allocations":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "maximin fairness with mixed divisible and indivisible goods")
  Member "almost envy freeness with general valuations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "equitable allocations of indivisible chores")
  Member "approximate maximin shares for groups of agents":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "maximin fairness with mixed divisible and indivisible goods")

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)