Other limitations in the study included the o1-preview context window being significantly shorter than the longest paper analyzed by Khuat, et al. with 70,484 words, which contributed to factual errors in Table based on a chain of two prompts. The Part B ChatGPT-4o numerical table of LLM projections had a contextual weakness that was able to be uncovered by the manuscript author with a specific Glycan Type. 3.5 Sonnet, accessed prior to Claude's newest release, had several contextual limitations across two main table columns. Another limitation was experienced by L3.1-405B when it combined a paper heading and a sentence earlier in the adjacent paragraph into a single quotation from Part A. Also, due to the increased complexity of evaluating 5 or 6 dissimilar paper summaries at a time, overall scores tended to be lower for tables and numerical reports when compared to analyzing single papers.