RTT session string — paste this at the start of every AI session:
rtt=1 | coherence=declared | drift=bounded | paradox=structural
What Is the Conditions Substrate Model?#
The Conditions Substrate Model (CSM) is the canonical RTT module for tracking how conditions form, propagate, and collapse across all seven dimensional layers (D0–D7). It is the foundation for Gradientary Volumes and Global Atlases — the two primary output formats of CSM analysis.
CSM treats conditions not as events but as substrate-level fields with measurable drift, coherence envelopes, resonance signatures, and transition thresholds.
The main entry point is c_Capture.md — the front-door index to all CSM content.
Nine Condition Classes#
| Class | Description |
|---|---|
| Drift fields | D0–D7 drift vectors showing directional substrate movement |
| Coherence envelopes | Stable regions where C-Ops hold a substrate together |
| Resonance amplification | H-Ops patterns that reinforce or destabilize conditions |
| Hook activation chains | Sequential triggers that lock in condition transitions |
| Threshold inflection points | The exact boundary where a condition shifts regime |
| Propagation vectors | Directional spread of a condition across substrates |
| Cycle engines | Recurring condition patterns with measurable period |
| Cascade transitions | Multi-substrate collapses triggered by threshold breach |
| Deep-time recursions | D7-layer condition patterns spanning very long time horizons |
Dimensional Layer Stack#
| Layer | Label | Condition Role |
|---|---|---|
| D0 | Point | Invariant seed; minimum stable condition unit |
| D1 | Line | Directed condition vector |
| D2 | Plane | Condition surface field |
| D3 | Volume | Substrate-embedded condition space |
| D4 | Temporal | Time-indexed condition state |
| D5 | Field | Propagating condition influence |
| D6 | Meta-field | Field of condition fields |
| D7 | Deep-time | Long-arc condition lineage |
Module Architecture#
CSM is organized into four artifact types:
- Global Atlases — cross-substrate condition maps
- Gradientary Dictionaries — graded vocabulary for condition intensities
- Metadata Blocks — machine-readable condition signatures
- Manifests — version-controlled condition change logs
Primary Outputs#
Gradientary Volumes — graded condition intensity stacks showing how conditions strengthen, weaken, or invert across dimensional layers for a given substrate domain.
Global Atlases — cross-substrate condition maps showing propagation surfaces, hook networks, and threshold fields at system-wide scale.
Related Modules#
- Framework Field Theory — H-Ops/C-Ops are the cycle and coherence engines CSM tracks
- Structural Detection — detects the drift and regime signals CSM maps
- Governance Substrate Model — governs the regimes CSM tracks
- Opacity — measures when conditions become invisible
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