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The paper proposes a zero-inference prospective term for personal memory retrieval that boosts memory items linked to future commitments without query-time computation. It shows improved recall on a synthetic task set and positions this as part of a layered architecture for proactive AI assistants.
The article argues that AI agent coordination failures stem from missing commitment records, not lack of context, and proposes a shared decision ledger with typed states (Proposed, Active, Amended, Superseded) to durable record decisions and improve multi-agent coordination.