AI Proof Churn vs. Generative Inquiry Simulator

Model Presets

Live Parameters

AI Proof Churn Rate: 0.85

Propensity to treat conjectures as inert proof obligations

Heuristic Inquiry Factor: 0.30

Probability of spawning open sub-questions during discovery

Root Inquiry Seeds: 12

Epistemic Search Depth: 3

Root Problem

Spawned Inquiry

Emergent Subfield

Inert Closed Proof

Proofs Generated 142 Deductive closures

Questions Spawned 19 Heuristic branches

Subfields Created 3 New study domains

Stagnation Index 0.74 Inert proof density

Simulation Telemetry: Nodes: 164 | Links: 163 | Active Graph Clustered

Model dynamic: High automated proof churn without interrogation compresses field growth into isolated proof sinks.