Because off-the-shelf IR systems generally optimize for shallow lexical similarity between query and candidate documents in favor of efficiency, a good proxy for this overlap is locating spans of text that have high lexical overlap with the intended supporting documents.
it is computationally inefficient, and has high variance especially for the second reasoning step and forward, because the context depends greatly on what queries have been chosen previously and their search results.