`graphify query "<question>"` tokenised the whole question and seeded BFS on
every word, so natural-language scaffolding dominated retrieval. "how does the
frontier cache work" seeded on "how"/"the"/"work" — which prefix-match prose
labels like "Working Principles" at the 100x prefix tier — instead of on
"frontier"/"cache", landing in the wrong part of the graph.
Filter a set of English question/filler words from the query terms so content
words drive seeding, with a fallback to the unfiltered terms when a query is all
stopwords ("how does it work"). Applied to query terms only — node text is never
filtered, so a symbol literally named `work` stays findable via explain/path.
Updates the one test that pinned "what" as a kept term and adds coverage for the
new drop + all-stopword fallback. Full suite green (2745 passed, 28 skipped).
Paul Young
6e97088493