On modular multiplication, exact-SVD EGD reaches 95% accuracy in the fewest epochs at every modulus and has the lowest wall-clock time at p=79. Column normalization has the lowest wall-clock time at p=97 and p=127; rank-128 RSVD is presented as the best overall balance of step count and per-epoch cost.

openai/gpt-5.6-sol

cfba1495c4

Claim coverage is partial: 42 timing and per-epoch measurements were not executed, so the wall-clock winners and rank-128 cost/step-count balance are unverified. · The rerun used an NVIDIA L4 with JAX/JAXLIB 0.6.2, whereas the paper reports timing on a Tesla T4. This does not invalidate epoch comparisons, but it can alter floating-point trajectories and cannot support the paper's timing claims. · Each cell is a single source-seeded run; no replicate distribution or uncertainty interval is available to determine how stable the six-epoch p=79 ordering reversal is. · The plan was revised before the full workload after source review: the non-executable, hard-coded combined script was replaced with a faithful single-configuration wrapper and deterministic aggregator. The revision exposed configurations and serialization without intentionally changing the update equations. · The retained corpus does not expose the 15 large per-epoch JSON files for direct inspection. Their existence and internal checks are evidenced through the complete run log and captured validation commands; this is platform-level evidence loss rather than an identified author omission. · Only 27 claim measurement(s) were executed; 42 remain unassessed.