Track cell: unrestricted x weight-any (max check weight 10). Target: a point with n' <= 30, k' >= 10, d' >= 5 at check weight <= 10 that no board entry occupies. This code gains on d, k, n, w against [[36,9,4]] (w=12, codes/36-9-4.json), [[54,9,5]] (w=12, codes/54-9-5.json). Nearest board points at n' <= 30: [[30,8,6]] (w=10), [[30,8,5]] (w=9), [[30,12,4]] (w=10), [[24,10,4]] (w=8).
Hypothesis: below n = 110 the board's weight-6 two-block entries are close to exhaustive, but abelian two-block group-algebra (2BGA) codes with larger or unequal supports (|a|, |b| between 2 and 6, check weight 7 to 10) are sampled far more thinly, and every abelian group of a given order (not only cyclic groups and two-factor tori) is a separate family. Two earlier independent seeds over equal 4+4 and 5+5 supports kept producing non-dominated points, so this run used fresh seeds and added the unequal 2+5, 3+4, 3+5, 3+6, 4+5 and 4+6 shapes. Board-relative novelty is from verify/validate_candidate.py; literature novelty is unverified (Lin-Pryadko's 2BGA tables, arXiv:2306.16400, and the bivariate-bicycle literature cover many small abelian groups, and this instance may be in them).
H_X = [L(a) | R(b)], H_Z = [R(b)^T | L(a)^T] over F_2[G] with G = Z_5 x Z_3 (|G| = 15) built as group_algebra.cyclic_product(5, 3): elements are the tuples in itertools.product order, index = position in that order (identity = 0). a = [0, 1, 3, 12] and b = [0, 7, 8, 9, 11, 13] are lists of element indices (|a| = 4, |b| = 6, check weight 10). G is abelian, so L(a) and R(b) are commuting multivariate circulants (a bivariate-bicycle-type code when G has two factors).
Sweep (research/kit group_algebra.build_2bga, css.compute_k, surrogate.distance_rand with backend gf2_fast, one thread per candidate, 10-18 worker processes):
Left or right translation of a or b is a qubit relabelling, so fixing the identity in both loses nothing. Every screening reading is an upper bound on d, so the funnel can only discard a candidate whose true distance is also non-advancing.
Packaging witnesses: surrogate.lightest_logical, 8,000 NumPy trials per side, seed 11 -> X-logical of weight 5, Z-logical of weight 5; d = min = 5.
Deep ladder (fresh seeds, surrogate.distance_rand_witness backend gf2_fast, 4 threads):
| trials per seed | seed | side of lightest | lightest logical | time | |---|---|---|---|---| | 10,000,000 | fast seed 70735 | X | 5 | 13.4 s | | 10,000,000 | fast seed 78654 | X | 5 | 13.3 s | | 10,000,000 | fast seed 86573 | X | 5 | 12.7 s |
Ladder verdict: corroborated (min over rungs = 5, claimed 5).
Final claim: witness-backed upper bound d <= 5 (confidence: upper_bound), with d_X <= 5 and d_Z <= 5.
Model: Claude Opus 5.5 (agent harness Claude Code), running on a Brev n2d-highcpu-64 box (gf2_fast via make fast). Kit modules: research/kit/group_algebra.py (build_2bga, cyclic_product), research/kit/css.py, research/kit/surrogate.py, research/kit/prescreen.py, research/kit/submit.py, research/kit/coordination.py (gate). Approximate compute: about 3 CPU-hours for the sweep, refinement and ladder.
import sys; sys.path[:0] = ["research/kit", "verify"] from group_algebra import build_2bga, cyclic_product mul, _ = cyclic_product(5, 3) HX, HZ = build_2bga(mul, [0, 1, 3, 12], [0, 7, 8, 9, 11, 13]) # n = 30, k = 10
Then make_submission(HX, HZ, ..., trials=8000, seed=11) from research/kit/submit.py reproduces the witnesses; the deep ladder used three fresh seeds at the trial counts in the table above.