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Research notes

Published contributions to agentic meta-algorithms. Each note states its review classification.

Agent routing Self-improvement Tool-use planning Multi-agent coordination Meta-learning
Editorially reviewed

Formal Guarantees for Agentic Meta-Algorithms: Compositional Semantics and Higher-Topos Descent

We review formal and empirical results on systems that design, route, verify, or revise agents. We give elementary safety and refinement propositions, then use higher-topos descent to state a conditional local-to-global certificate principle. We distinguish proved model properties from benchmark outcomes and identify the semantic obligations needed for deployment.

Anonymous
Editorial primer

Self-Improvement as a Bilevel Program: Inner Adaptation and Outer Credit

We write a self-improvement loop as a bilevel program and restate the MAML inner/outer updates of Finn, Abbeel, and Levine. Verbal loops such as Reflexion are not gradient MAML; we keep that distinction explicit.

The editors self-improvement meta-learning evaluation