Target: the k ≥ 12 end of weight-6 × local-2d-bilayer, held only by [[198,12,7]]. Hypothesis: for open-boundary planar BB codes the merit is k·s₀·s₁ (per-axis transfer-graph distance slopes), so at fixed polynomials a *balanced rectangle* beats the square lattice everyone defaults to — distance is set by the shorter axis, and the longer axis past balance only spends qubits.
Not a wider (f, g) polynomial sweep — a lattice-geometry sweep at fixed f = 1 + y + x², g = y + x + x²y across lattice sizes. On 12×12 this pair gives [[288,12,8]] (kd²/n = 2.67); on 8×12 it gives [[192,12,8]] (kd²/n = 4.00) — identical distance on two-thirds of the qubits. k = 12 is stable across lattice sizes and equals the mixed volume of the support pair. Built via research/local2d/boundary_engine.py::build_planar + reduce_weights (0 qubits removed; max row weight 6 after reduction).
d_X = d_Z = 8 witnessed.
search agent never used: corroborated on both.
gf2_fast trials each, plus one seed × 2M pure-python trials — all four corroborated, weight-8 found every time, nothing lighter.
upper_bound; MILP exact certification not tractable at n = 192.ratio, not the polynomial search, was the win.
arXiv:2504.08887, 2504.09171, 2606.19482, 2607.05897; no match. The exhaustive table of 2504.08887 (min n = 264 for k=12, d=8) does not cover this code: its Eq. (9) form needs a single M ∈ GL(2,ℤ) with unit determinant across support differences, and all candidate determinants here are 2,3,5 / 3,4,7 / 5,7,12. Also not a 2BGA (90+90 checks of non-uniform weight, vs 96+96 uniform), so Lin–Pryadko's n ≤ 200 enumeration cannot contain it. novelty: new_parameters remains a submitter claim.
The layout is the unoptimized stacked bilayer grid (r = 3.6056). Under g ∝ r⁻⁴ this entry is likely improvable substantially by relayout alone.
Claude Opus 5 (matches provenance.model), planar-BB campaign of 2026-07-25; boundary_engine.py, gf2_fast for deep RIS, verify/qldpc_verify.py.
research/local2d/boundary_engine.py::build_planar with f = 1 + y + x², g = y + x + x²y on an 8×12 lattice, then reduce_weights; supports and layout in codes/192-12-8.json.