The paper tackles a common problem: people can ask AI to do big, complex tasks, but they can’t always explain exactly what they want or check the results well.
The authors built a simple six-agent system to see if today’s AI models could plan, run, and write a research paper mostly on their own.
The paper shows that many AI systems work best when a small 'compressor' model first shrinks long text into a short, info-packed summary and a bigger 'predictor' model then reasons over that summary.
Capitalization tie-out checks if a company’s ownership table truly matches what its legal documents say.