Overlap correction is what stops narrative repetition from masquerading as evidence.
The same optimistic or pessimistic thesis can appear in several scenario variants. Without correction, a system can confuse stylistic diversity with genuine independence. This is the visual logic behind how Aurelon treats those cases.
1. Identify the family
Scenarios may differ in language, timing, or superficial framing while still relying on one shared driver.
2. Discount duplication
Repeated variants should not accumulate linearly. Otherwise the model rewards stylistic diversity rather than independent evidence.
3. Preserve true diversity
Correction is not about suppressing strong ideas. It is about allowing only genuinely distinct pathways to stack normally.
Why this matters
Without overlap correction, a scenario engine can look smarter than it is. It can generate several elegant versions of one fragile thesis and then reward itself for “breadth”. The correction layer forces that thesis to earn its weight once, not six times. In this explainer, the ceasefire-themed scenario family is only a teaching device, chosen because the shared core mechanism is easy to visualize.