KPI Circular Trap and Spiral Escape via Decentralized Learning Pipelines (v1.0 – Canonical Release)

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Authors: Yuji Marutani
Cited by: 0

Abstract

This record represents a growth-oriented institutional artifact rather than a finalized research conclusion. The work defines the KPI Circular Trap as a self-referential productivity loop driven by low-resolution consensus metrics, and proposes a spiral escape mechanism via decentralized learning pipelines connecting OCW, AI-assisted sensemaking, and DAO-based validation. Its central contribution is the introduction of CIFF (Continuous Integration for Fundamental Freedom), a verification apparatus designed to distinguish human-sovereign knowledge production from autonomous AI generation through asymmetry-based analysis. Version 1.0 constitutes the canonical baseline of this system.Future versions are expected to negate, restructure, or supersede parts of this work while preserving the non-negative growth condition dχ/dt ≥ 0.

Fields of Study & Subjects

Diverse Interdisciplinary Research Innovations Knowledge Management and Technology Organizational Learning and Leadership

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026