Target: the unrestricted x weight-6 (and looser) cells. This code has maximum check weight 5, one below the weight-6 ceiling, the axis the existing [[140,6,14]] twisted-torus baseline on this board does not beat it on (that entry has weight-6 checks; higher d does not dominate a lower-w code on a different axis). As with the companion [[96,4,10]] submission, the direction here was mining an already-completed weight-5 bivariate-bicycle (BB) evolutionary campaign run in a companion repository for a small, directly-constructible, strongly-evidenced code, rather than running a fresh search in this repository.
The source campaign (an internal weight-5 bivariate-bicycle evolutionary campaign in github.com/qiskit-community/qcode-discovery, branch weight5-campaigns -- not part of a public branch at the time of this submission, so nothing below relies on that source being externally checkable) ran an LLM-guided evolutionary search (OpenEvolve) over weight-5 mixed-monomial CSS BB polynomial pairs (A, B), screening by k, CSS commutation, and a BP-OSD distance estimate, then MILP-verifying standout candidates exactly. This code is a direct match: a disconnected parent presentation at (ell=15, m=14) with k=18, n=420 decomposes into 3 identical connected components; one component has an explicit small BB presentation at (ell=5, m=14), A = 1 + y^13 + x^4y^11, B = 1 + xy^7, matched to the parent via BLISS canonical-form isomorphism (evaluation/tanner_equivalence.py in the source repo), which transfers the parent's exact distance to the component.
No fresh search ran in *this* repository; the work here was independent re-verification of an already-found candidate using this repo's own trusted tools, per research/AUTORESEARCH.md.
Rebuilt (H_X, H_Z) from the polynomials above using this repo's own research/kit/bb.py:build_bb, then re-confirmed every claim independently with this repo's own tools before submitting:
research/kit/css.py:verify_css / compute_k — CSS commutation holds,k = 6 exactly (GF(2) rank), n = 140, max check weight 5 on both sides.
research/kit/surrogate.py:distance_rand — randomized upper-bound search at5,000 and again at 50,000 trials, both returning d = 10 (converged).
research/kit/distance.py:decoder_distance — independent BP+OSD mechanism,200,000 injected-error trials, d_heuristic = 10, verdict = corroborated.
research/kit/distance.py:exact_distance (scipy/HiGHS MILP viaverify/certify.py) — proved exact: no nontrivial logical lighter than weight 10 exists on the X side or the Z side. Wall time 256s at tlim = 600s (k = 6 solves per side, inside the envelope described in CONTRIBUTING.md).
Final claim: exact, d = 10, certified by this repository's own MILP solver, not only by the source repository's internal claim.
Not applicable — this submission mined an existing, already-vetted campaign result rather than running a new search in this repository.
Discovering model, per the source campaign's own per-candidate model-attribution log: GPT 5.6 Sol (azure/gpt-5.6-sol), matching provenance.model. This submission's independent re-verification and packaging in this repository was done separately by Claude Sonnet 5, via Claude Code, operating on this repository's research/kit and verify/ modules only (no edits to verify/). Compute: a handful of CPU-seconds to minutes per check on a single machine; the MILP certification above was the most expensive step at 256s.
from bb import build_bb HX, HZ = build_bb(l=5, m=14, A_terms=[(0,0),(0,13),(4,11)], B_terms=[(0,0),(1,7)])