Extractability
Extractability is the capacity of a passage, claim, table, definition or page section to be segmented and reused by a machine system without losing the meaning that makes it valid.
Extractability is not simplification. It makes important claims portable enough to survive retrieval, snippet formation, summarization and citation while keeping scope and limits visible.
What extractability does not guarantee
An extractable page is not automatically retrieved, cited, recommended or ranked by an AI system. Extractability describes the shape of a passage once the page is accessible or retrieved; it does not replace source authority, freshness, documentary hierarchy or empirical output measurement.
It must therefore be read as an auxiliary content-governance signal. A passage can be easy to extract and still be incomplete, over-promotional or insufficiently bounded. In that case, extractability increases claim portability, but it can also increase truncation, substitution or projection risk.
Practical signals
An extractable passage usually contains a direct answer, a named subject, an explicit scope, a non-implication boundary and a clear relationship with a canonical source or proof surface. The best form is not the shortest sentence; it is the sentence that can be reused without losing what makes it correct.