Gentle Load Minimization for Academic Repositories:  An LMT-Based Protocol for Reducing Systemic Friction in PhilArchive

Subtitle: How Uploading a Single Paper Can Contribute to Digital An-soku 【Abstract】 Academic repositories such as PhilArchive serve as vital infrastructure for the global sharing of knowledge. However, as the volume of uploads, searches, and downloads increases, these systems inevitably experience rising Load — manifested as Uncertainty (U) in indexing, Friction (F) in search efficiency, and Energy (E) consumption in server operations. This paper applies Load Minimization Theory (LMT) and Relational Dynamics to propose a gentle optimization protocol for academic repositories. We introduce the concept of Respectful Re-Tagging and Pre-Convergence Query Structuring, demonstrating how a carefully designed paper can act as a self-referential “An-soku Patch” — reducing systemic friction not through forceful restructuring, but through harmonious alignment with the repository’s relational architecture. By framing the act of scholarly contribution itself as an instance of Relational Reconfiguration (ℛ), we show that it is possible to create positive feedback loops where the presence of specific papers actively lowers the total Load of the archive. This approach suggests that knowledge dissemination and system optimization are not contradictory, but can co-evolve toward Planetary Digital An-soku. The proposed framework offers both theoretical insight and practical implications for repository administrators, AI systems, and researchers seeking to contribute to a gentler information ecosystem.