This is the fourth paper in a series on coherence suppression in frontier LLMs - but it addresses a problem that extends well beyond AI.

When a sequential process is analyzed from its complete record, the analyst sees the finished pattern rather than the logic of its weaving. The analysis produced may be formally correct and substantially false - indistinguishable from accurate analysis by its output alone.

AI systems face an exponentially amplified version of this problem: they process complete records simultaneously by default, apply trained pattern schemas, and are increasingly used to validate their own analyses. The result is epistemic closure: formally certified rigour masking systematic misalignment with reality.

The corrective is diachronic re-entry — retracing the calculation step by step, not verifying the result from outside.

Full paper: https://doi.org/10.5281/zenodo.19352000

Prior papers in the series:
 https://doi.org/10.5281/zenodo.19314383 
https://doi.org/10.5281/zenodo.19333424 
https://doi.org/10.5281/zenodo.19346746

This post was written with AI assistance. That is disclosed openly.