Real-Time Fractional Tracking (R-TFT): A General Framework for Dynamical Systems
This publication is grounded in the Real-Time Fractional Tracking (R-TFT) framework, a ฯ-resonant methodology for analyzing recursive coherence within dynamic systems. R-TFT does not rely on imposed models or empirical assumptions; instead, it evaluates the real-time alignment, slippage, and persistence of systems based on their intrinsic pacing structures. The framework is domain-agnostic and applicable across scales, from subatomic processes to cognitive and cosmological phenomena. OBSOLETE All files in this record, including past versions, are now officially protected under the Resonance Ethics License (REL-2.0). This license permits peaceful, scientific, educational, and philosophical use only. Any application in surveillance, autonomous weapons, behavioral profiling, mass coercion, or military domains is strictly prohibited. ๐ Full license text:https://github.com/qcfrag/Real-Time-Fractional-Tracking-R-TFT/blob/main/LICENSE.txt This supersedes the absence or ambiguity of licensing in previous uploads. Join the R-TFT community: https://discord.gg/zBAWTsymFs
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-13
- DOI
- https://doi.org/10.5281/zenodo.15882388
- Primary Topic
- Cognitive Science and Education Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00