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Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems

📅 March 13, 2026 👤 Patrick Lewis, Ethan Perez, Aleksandara Piktus et al. 📖 arXiv (Cornell University) 📊 2,983 citations

🤖 Plain-English Summary

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.

🔑 Key Findings

  • The paper studies how a fixed model-policy can exhibit different operational capability when the surrounding world is redesigned through observations, typed action handles, validators, repair paths, rollback modes, authority scopes, context summaries, and auditable receipts.
  • CIMT treats system-level capability amplification as a world-side compilation problem rather than a model-weight improvement problem.
  • It defines operational claims through explicit claim objects and evidence objects, using committed observable ledgers, target-evaluation channels, deterministic reducers, validity budget ledgers, evidence dependency graphs, artifact I/O manifests, conformance envelopes, and finite-sample or sequential certificates.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for software, automation, and scientific discovery.

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📋 Article Details

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

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