Non-interfering observation of complex systems
Research Papers
A Framework for Non-Interfering Observation of Complex SystemsThe foundational paper. A complete account of what Eormen is, the principles it rests on, and what it means to observe a system without disturbing it.
White PaperPDF
Observational Sensitivity in Complex DynamicsA first demonstration on complex engineered data that the framework can detect change in a system without disturbing it, and reach the same result every time.
February 2026PDF
Observing the Formation of Structural Change in Bearing Vibration DataApplied to real bearing-vibration data, the framework observes a developing fault as it forms, seen consistently from several independent viewpoints and with no false alarms.
March 2026PDF
Verified Randomness at Scale: The Certified Entropy BlockEach batch of certified random data is delivered with independent, re-checkable proof that it has passed a full battery of quality tests.
April 2026PDF
Trace-Bound Observability of Opaque LLM BehaviourThe framework applied to artificial intelligence: a completed AI interaction is turned into an auditable record of how the system behaved, without altering it or inferring hidden reasoning.
June 2026PDF