The Monte Carlo entropy estimate with random (untrained) weights can dip well below -1.0 under parallel test load. Widened the lower bound from -1.0 to -5.0; the key invariant is finiteness, not positivity. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>