개요

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?#

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.



Nawder Loswin · AI-assisted canonical maintenance (2025–2026)
© 2026 Nawder Loswin · Byte Books Publishing · LCCN 2026917007

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