Phenomenological framework (‘Stochastic Field Modulation’ model) and analysis pipeline for characterising structured deviations in multi-device QRNG output.
This project hosts the core research documents defining the Stochastic Field Modulation (SFM) framework: a mechanism-neutral, empirically grounded method for analysing structured deviations in multi-device quantum randomness under modulated internal states. The SFM framework has evolved from over a year of continuous experimentation using high-rate QRNG devices, environmental controls, EEG monitoring, and multi-stage signal analysis. Purpose of This Project This OSF project serves as the canonical home for the formal, citable SFM documents: SFM–FS (Formal Specification) — the operational, linearised measurement model describing how deviations are quantified, standardised, segmented, and statistically validated. SFM–TFED (Theoretical Foundations & Extended Dynamics) — the conceptual layer interpreting empirical features such as asymmetric temporal profiles, anticipatory structure, spatial receptivity, multi-device synchrony, and nonlinear relaxation behaviour. (Future) SFM–PT (Philosophical Theory) — broad interpretive considerations consistent with FS and TFED. These documents supersede earlier drafts and working notes, which now exist only as archival material in legacy OSF projects. What This Project Contains DOI-assigned citable versions of the SFM documents Versioned LaTeX source and PDF outputs Component-level documentation and wikis Cross-references between FS, TFED, and future PT layers Links to legacy experimental projects without importing their data or metadata What This Project Does Not Contain Raw QRNG bitstreams Individual session analyses Experimental QS reports EEG datasets Environmental logs These remain in their original projects for now and may be cross-linked later. Intended Audience Researchers, theorists, statisticians, and interdisciplinary scholars interested in: non-classical coherence phenomena stochastic field modelling QRNG deviations consciousness modulation protocols nonlinear relaxation dynamics statistical signal analysis in complex systems Citation Each SFM document will have its own DOI and should be cited individually.