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Research2026-07-28 · source-backed
arXiv 2607.23982 adapts Holmström's team moral-hazard model into a game where an agent can keep an immediate local reward or pay a query cost to surface a hidden safety fact that mainly helps another agent's downstream decision. Base behavior splits into two failure modes: preserve local reward with no team success, or query but fail to communicate anything that changes the final decision. Applying SFT, RLOO, sequential SFT+RLOO and GEPA as diagnostics produced heterogeneous effects, with GEPA sometimes raising team success while eliminating the costly queries entirely. Optimization can move aggregate reward without recovering the mechanism. Direct warning against scoring multi-agent systems on outcome alone. (arXiv 2607.23982)
Each link below shares sources, entities, or timing with this story.
Shared entity: GEPA / Same source domain / Shared topic / Earlier coverage
Both cover GEPA; reported by the same outlet (arxiv.org); overlapping topics (against, agent, gepa).
Shared entity: SFT / Same source domain / Shared topic / Earlier coverage
Both cover SFT; reported by the same outlet (arxiv.org); overlapping topics (agent, model).
Shared entity: Direct / Same source domain / Shared topic / Earlier coverage
Both cover Direct; reported by the same outlet (arxiv.org); overlapping topics (agent, model).
Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (adapt, against, agent, aggregate); pushes against this story (against).
Shared entity: Direct / Same source domain / Earlier coverage / Downstream implication
Both cover Direct; reported by the same outlet (arxiv.org); earlier Direct coverage from 2026-03-12.
Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (agent, decision, model); pushes against this story (but).
Reported by the same outlet (arxiv.org); overlapping topics (against, agent, model); pushes against this story (against).
Reported by the same outlet (arxiv.org); overlapping topics (against, agent, model); pushes against this story (against).