Appreciate the comments. One thing to note: how much compute it takes to "get everything" varies from search to search, and researchers don't always care about that and usually care most about getting a few specifically relevant results, so we start each search with a first pass with a fixed amount of compute. I know there's a lot to absorb on each search page, but if look near the bottom of the summary, Undermind is predicting is has only found about 80% of the papers with the compute dedicated to this search so far. Logged in users on Pro accounts can "extend" the search until it's gotten 90% or more to ensure exhaustiveness. One other thing I'd be curious about is your notion of "importance" here, can you help us define that here? Any ideas for how would say a very smart human assistant who's not intimately familiar with your community's interests be able to pick out paper 7 from the list according to what you mean by importance? Maybe we need a way to communicate to the system that you're interested in pedagogical or seminal works in the field?