CLAUDE: lean pose FIX: consolidated TD scaled to per-tile sensor SUM (oracle fat-zero operating point)

The lean conj-multiply fed the plain 16-sensor AVERAGE into the same
FZ-normalize (same absolute fat zero; JNA drops per-tile weights) that the
oracle feeds with the unweighted SUM of pair products - 1/16 the amplitude,
so the effective fat zero was 16x larger. Invisible in output scale (the
normalize hides it) but measured in peak shape: sqrt_l0 3.22 vs oracle 2.08
and sqrt_l1 5.83 vs 4.15 on identical tiles, corr RMS 0.46 vs 0.33 - and
suspected as the roll-bias mechanism (asymmetric-content centroid pull on
broadened peaks; +0.52 mrad @ 150 edge-weighted tiles, +0.33 @ all tiles).

Fix: multiply each consolidated tile by its per-sensor count (SUM semantics,
matching the oracle exactly incl. partial tiles). consolidateSensorsTD
itself unchanged (A2 validation still uses the true average).

Expected in LEAN-05 (normal LMA run): sqrt_l0 ~2.1 in the HYPER eigen
slices, corr RMS toward ~0.33, roll bias collapse if the mechanism is
confirmed (survival = clean falsification).

Verified: mvn -DskipTests clean package OK.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>