Quicklinks#
- applications complex systems
- CONTRIBUTING
- docs README
- data README
- experiments README
- papers substrate model whitepaper manuscript
- papers README
- reference Keywords
- schemas README
- simulations README
- tools README
- README
- RELEASE NOTES
- previous folder
Changelog
The format follows semantic versioning (MAJOR.MINOR.PATCH) with research‑grade extensions for conceptual, schema, and experimental updates.
[2.1.0] - 2026-02-04#
Added#
From what we’ve outlined and what’s visible in the repo and Zenodo community:
- RSM root DOI - The original Resonance Substrate Model publication — the conceptual anchor.
- 3 + 27 DOIs (≈29 total) - Published since that root, now curated under the vST Zenodo Community, with an explicit curation policy.
- A living documentation tree - docs/resonance-substrate-model/ already functions as the narrative and operational spine.
This is no longer a single paper. It’s a curated substrate ecosystem.
[1.0.0] — 2025‑01‑12#
Added#
- Initial public release of the Resonance Substrate Model (RSM).
- Complete triadic field architecture: scalar (φ), vector/spin (V⃗), and resonance envelope (R).
- Minimal operator system: diffusion, alignment, coupling, activation, stabilization.
- Full schema taxonomy for fields, operators, simulations, and substrate primitives.
- Simulation framework with reference solvers and example configurations.
- Experimental datasets: rotating‑conductor tests, resonance‑alignment apparatus, coherence metrics.
- Documentation suite: overview, methods, API, simulations, experiments, replication guides.
- Zenodo/ORCID‑ready release notes and metadata.
- Apache‑2.0 licensing across the entire module.
Changed#
- Updated licensing from MIT to Apache‑2.0 for improved clarity and compatibility.
- Harmonized terminology with the post‑RTT‑Inside TriadicFrameworks canon.
- Refined manuscript structure for clarity, coherence, and reviewer readability.
Added (TriadicFrameworks Integration)#
- New Relation to Resonance‑Time Theory (RTT) section.
- Example simulation configuration aligned with RTT‑Inside conventions.
- Prepared for RTTcode QR generation for model‑level encoding.
Notes#
This release establishes the canonical baseline for future theoretical, computational, and experimental extensions of the Resonance Substrate Model.
