We solve the "Guest Authorship" problem by dividing citation impact by the square root of the author count. This ensures lead architects receive the credit they deserve, preventing index inflation through crowded author lists.
Our proprietary Large Language Model (LLM) conducts automated cross-examinations of authors. By generating deep-technical questions based on the paper's specific methodology, we verify that the listed author truly understands the work they claim to have produced.
