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In Incognita, Incognita asks what happens when the task and success criterion stay fixed but access does not, and transforms eighteen customer-service tasks into three settings: direct access, one known intermediary, and six role-isolated participants whose capabilities must be discovered.
This work proposes Graph-Regularized Agentic Context Evolution (GRACE), which maintains the persistent instruction component as a typed semantic graph and validates proposed updates within the local typed neighborhoods of modified nodes.
A noisy expert model is proposed to explain why OPD can outperform SFT when training language models from imperfect teachers, and it is proved that online interaction with the noisy expert via a novel variant of OPD enables polynomial dependence on the horizon in general.
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