paperxpaper: TOC-Guided Paper Connection Discovery
paperxpaper discovers every meaningful connection between two research papers by applying Goldratt's Theory of Constraints (TOC) to the connection-finding problem. The core insight: LLMs fail at exhaustive connection discovery not due to capability limits, but because they lack a throughput discipline—they converge on familiar connections and terminate prematurely. paperxpaper implements TOC's Five Focusing Steps as its core loop: identify the lowest-coverage connection dimension, exploit it maximally, subordinate other reasoning to feed it, elevate if stuck, repeat. Paper ingestion uses Agentica SDK for type-safe agent orchestration with direct scope access to Paper objects. We formalize 15 connection dimensions across Physical, Policy, and Paradigm categories. The architecture is minimal (~150 LOC agent), framework-light, and fully reproducible via the included SKILL.md.


