That topic modelling does well at identifying differences in topic is perhaps not so surprising, and this could be seen as consistent with the good performance of topic modelling on the nyt june KSC, where news articles from different time periods would be expected to be on somewhat different topics.
(this does not provide an account for why perplexity does so well for nyt 5678 where we would also expect differences in topic.)