In-Context Credit Assignment via the Core
The work formalizes credit distribution for AI content creators by treating it as a cooperative game. It develops mechanisms based on the least core concept to ensure no creator group is significantly underpaid compared to their potential value. This approach is economically principled and computationally efficient, using novel constraint seeding to approximate the solution with fewer LLM calls.