Agam Bhatia

Every arm here differs from the recipe of record by exactly one flag. Data, pool, crop seed, layer set, learning rate, batch and seeds are held fixed across arms so the only free variable is the one named. The whitened-FVE ruler that the program optimises and reports anti-correlates with lens quality. The AR trained without whitening scores far worse on the ruler and makes a materially better lens, and running both to saturation does not rescue it. Compare arms only at MATCHED cumulative steps. Arms stopped early by a budget cut have lower totals, and reading their endpoints against a fully-trained arm inverts the ordering: unitcos looks worse than base on endpoints but is identical to it…