However, more precise representations of data were achieved when inferencing with two of the models using document retrieval of 16 papers (ChatGPT-4o, 3.5 Sonnet), or models that were provided text from each of the papers (o1-preview, L3.1-405B). With the data being dynamically accessed during inference approximations, specialized and up-to-date knowledge allowed for detailed and specific questions to be answered, which likely reduced chances of hallucinations vs. running direct prompts.