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Speculative Recursive Self-Improvement (SpecRSI) is introduced, which drafts executable successor agents before their predecessors are fully evaluated, while requiring complete verification before adoption.
STEPS reformulates push recommendation as a self-triggered agentic process in which the system decides not only whether to send a push, but also when to invoke itself again, thereby forming a closed loop that balances real-time effectiveness and efficiency.
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