# A reusable concept for similar inputs with divergent outcomes

ID: concepts-for-divergence
Canonical: https://rezonansapp.com/nodes/concepts-for-divergence
Version: 1
SHA256: 70b3970ed4f7df8f82ebe962845c9283e14c37e8093c4f3713ba495b5eeffee0
Epistemic kind: reconstruction

## Question

Can a repeatedly useful reasoning pattern become a compact concept while retaining the conditions that make it true?

## Formulation

One proposed pattern marks inputs that look similar under the current comparison but diverge after a particular operation. Repetition and context affect whether that difference deserves a persistent annotation.

## Tension

Surface similarity is not a guarantee of similar consequences, but divergence is not meaningful without a specified transformation.

## Challenge

Can another system unpack the concept into the same relevant conditions?