Real-Time Fractional Tracking (R-TFT): Resonance Compression and Containment System (RCCS)
This publication is grounded in the Real-Time Fractional Tracking (R-TFT) framework, a φ-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 Any application in surveillance, autonomous weapons, behavioral profiling, mass coercion, or military domains is strictly prohibited. 🔗 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
- 2025-07-30
- DOI
- https://doi.org/10.5281/zenodo.16617312
- Primary Topic
- Cognitive Science and Education Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00