A deep-research report arrived mid-session (.claude broadcast 20260826T223230Z)
on a near-identical problem shape -- numbered regulatory requirements with
cross-references. Two of its numbers bear on this work: index-selection
strategy contributed +38.0 points of accuracy, and edge inference gave NO
accuracy gain at 2.8x the cost.
The second is a negative finding worth inheriting rather than re-measuring. It
does not condemn what landed today: references and parent are EXTRACTED from
explicit tokens, and the one proposed relation is structural and costs a single
pass. It draws a line for later -- no semantic edge inference without measuring
that 2.8x against our own corpus first.
The report also states that no published source gives per-query token counts
for structured versus flat context, and none reports an indexed superseded-by
facet. That reframes today's 3.3x-6.4x cost dial: it is the tradeoff nobody has
published, which is a reason to measure it properly rather than to hide it.
Treated as a premise, not a result. An external number changes what is worth
trying next, not what this repo has proved.
Kjell Tore Guttormsen
69001542b2