A model can organize source records, suggest relationships, and propose explanations worth investigating. Explicit rules and typed data can constrain the records it uses and the operations available to it. Combining the two can make an investigation easier to inspect.
The evidence still has limits. Missing measurements, delayed source updates, and correlations can support several explanations. A plausible narrative should not turn those gaps into a confirmed root cause.
From investigation to action
An operator should preserve the source context behind a proposed plan and distinguish observations from inferences. The execution path then applies its own policy and capability checks. Confidence in an explanation does not grant authority to act.
This is a research direction for Fibric’s operator architecture. It is not a published benchmark, proof of causal discovery, or claim that every product feature implements a complete neuro-symbolic system.