Ar9av/PaperOrchestra

PaperOrchestra orchestrates a five-agent pipeline that converts unstructured research materials—agent cache logs, experimental results, and raw ideas—into a LaTeX manuscript with citations, figures, and formatted sections. It serves AI research scientists and graduate students who run many agent-driven experiments and need a structured path from scattered logs to a conference submission. The pipeline covers literature search with cross-index verification, automated plotting, section drafting, and a content refinement step that simulates peer review with a Devil's Advocate critic.