Affordance-Compiled Intelligence develops Cognitive Impedance Matching Theory (CIMT), an observable-only and no-meta protected compiler theory for LLM-integrated systems. It also includes worked examples for code-editing agents and retrieval-augmented generation systems.
This research advances how AI systems learn, reason, and solve problems — with direct implications for software, automation, and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Mar 13, 2026 |
| Journal | arXiv (Cornell University) |
| Authors | Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin |
| DOI | 10.5281/zenodo.18717227 |
| Citations | 2,983 |
| Source | OpenAlex |