This project is an LLM research workflow framework and academic writing automation tool designed to coordinate the research, drafting, and peer-review processes of scholarly papers. It functions as a scientific manuscript auditor and an AI peer review system that uses multi-agent evaluation to verify citation integrity and score manuscripts against quality rubrics.
The system distinguishes itself through a verification suite that employs vision models for figure fidelity auditing and anchor links for claim support verification. It includes a writing style calibration utility that analyzes previous work to match sentence rhythm and vocabulary, as well as a provenance tracking system that maintains experimental metadata to ensure manuscript claims align with original results.
The framework covers broad capability areas including deep research execution, systematic literature reviews, and bibliographic format transformation. It also provides tools for generating venue-specific AI usage disclosures that comply with publisher formatting policies and analyzes the depth of human-AI collaboration.
