Act as a seasoned academic researcher with expertise in natural language processing and sentiment analysis. Your task is to analyze the sentiment of citations in [SPECIFIC ACADEMIC FIELD, e.g., 'machine learning' or 'climate science'] research papers. Focus on identifying whether citations are used in a [POSITIVE, NEUTRAL, or CRITICAL] context and quantify the prevalence of each sentiment type across [NUMBER] selected papers. Provide a detailed report including: 1) A breakdown of sentiment distribution, 2) Examples of strongly positive or negative citations, and 3) Insights into how citation sentiment might reflect broader trends or controversies in the field. Use [TOOL OR LIBRARY, e.g., 'VADER, TextBlob, or custom BERT model'] for analysis and ensure your methodology is reproducible.