Tim Lingo
059ce02003
The recall route had no way to reach a node that shares no token and no embedding neighbourhood with the query. The design reserves that case for the graph, and nothing on the read path consulted an edge. This adds a third ranked leg beside the lexical and semantic ones: expand the top 3 lexical hits along STRUCTURAL relations only (claim 10 — identity, contains, superseded_by, references, ...), two hops, both directions, pruned at the same 0.02 firing threshold engram_activate uses; order what was reached by query similarity. Merged by strict rotation, never by score blending. Not PR #135. That wired recall wholesale to engram_activate and lost 57 points of phrase accuracy. The failure there was RANK, not reach — a 2-hop associate at strength 0.06 cannot outrank thousands of 1-hop neighbours of strong lexical seeds. Here the lexical leg is untouched and the associative list is empty for most queries, because a node whose only edges are `tagged` and `related` expands to nothing. MEASURED, hybrid-semantic baseline -> this, 38-query gold set, embedded corpus: associative 0.0% -> 66.7% (first non-zero ever recorded on that category) hit@5 51.4% -> 62.9% exact_rare, phrase, paraphrase, nonsense, superseded: all unchanged latency p50 1.01x 4 queries moved, all gains, 0 losses, McNemar p=0.125 deterministic: two runs of the same binary differ on 0 of 38 rows VERDICT: NOT-SHOWN. The harness needs 6 queries to clear p<0.05 and the whole associative category is only 6 queries, so even 4/6 fixed cannot reach the floor. The mechanism is confirmed to work; the gold set cannot certify it.