Determine the exact complexity of OSCS optimization

Determine whether deciding whether a cooperative integer programming game admits a stable coalition structure with total payoff at least a given threshold is a2^p-complete, or otherwise characterize the exact computational complexity of the OSCS problem.

Background

The paper proves that deciding whether an SCS with total payoff at least a threshold exists belongs to the second level of the polynomial hierarchy, a2p, and is NP-hard. The upper bound follows from existentially selecting a coalition structure and payoff vector and verifying stability through an oracle-level procedure.

The exact classification is not established. The authors identify a2p-completeness as the natural conjecture, while noting that existing hardness constructions for core problems over coalition structures rely on polynomial-time worth functions and do not directly reach the second level when coalition values are generated by integer programs.

References

We do not settle the exact complexity of the OSCS problem and regard \Sigma_2p-completeness as the natural conjecture; Corollary~\ref{cor:no-compact} does not depend on it.

Cooperative Integer Programming Games: Core Stability and Optimal Coalition Structures  (2609.11116 - Lee et al., 10 Sep 2026) in Appendix, Section "Complexity of the Stability Problems", immediately following Proposition "Optimization over stable structures"