Forge Pool

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Graph Propagation & System Contagion ​

Systems are not isolated.

Failures spread.

A disruption in one node can:

  • cascade
  • amplify
  • propagate

across an entire system.

The Pattern ​

Graph Propagation models relationships between components.

It evaluates how state changes in one part of the system affect others.

Execution Shape ​

text
system state + connections
    ↓
adapter (graph model)
    ↓
graph@1 (propagation simulation)
    ↓
(optional) mc@1 (stochastic variation)
    ↓
ensemble@1 (aggregation)
    ↓
artifacts + replay

Primitive Composition ​

  • graph@1 — propagates state across nodes
  • mc@1 (optional) — adds stochastic variation
  • ensemble@1 — aggregates system outcomes

What Gets Computed ​

Forge does not compute:

  • isolated outcomes

Forge computes:

  • cascade effects
  • propagation paths
  • system-wide impact
  • fragility networks

Output Artifacts ​

text
propagation_paths
cascade_probability
system_fragility_map
node_influence_score
failure_spread_profile
replay_token

Why It Matters ​

Many systems fail due to:

  • interconnected dependencies
  • hidden coupling
  • cascading effects

Why Forge ​

Forge enables:

  • system-level reasoning
  • propagation modeling at scale
  • deterministic replay of cascades