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Publications

The research behind our training-free monitoring for robots and AI agents. Preprints are linked where public.

Papers

  1. How Much Model Does Condition Monitoring Need? Reading a Six-Axis Arm from Its Control Loop. W. Hafez, A. Nazeri, C. Wei (2026). Preprint, available on request.

  2. Am I Still Coupled to My Environment? Task-Agnostic Runtime Telemetry from the Reinforcement-Learning Interaction Loop. W. Hafez, C. Wei (2026). Preprint, Research Square.

  3. Toward Measuring Structural Drift in LLM Communication Loops. W. Hafez, A. Nazeri, C. Wei (2026). arXiv:2604.13061

  4. The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning. W. Hafez, C. Reid, A. Nazeri (2026). arXiv:2603.01283

  5. Information-Theoretic Framework for Self-Adapting Model Predictive Controllers. W. Hafez (2026). arXiv:2603.01286

  6. A Mathematical Theory of Agency and Intelligence. W. Hafez, C. Wei, R. Pena, A. Nazeri, C. Reid (2026). arXiv:2602.22519

  7. Mutual Information Tracks Policy Coherence in Reinforcement Learning. C. Reid, W. Hafez, A. Nazeri (2025). arXiv:2509.10423

  8. Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks. A. Nazeri, W. Hafez (2025). arXiv:2508.21715

  9. ​Transforming AI Solutions in Healthcare: The Medical Information Tokens. W. Hafez, S. Elshamy, A. Farid, R. Camara. IEEE Conference on AI (CAI), 2023.

Full texts, including the robot preprint, on request: idt@semarx.com

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