# NarrativeExploit[PROTOCOL] ## Module 1: ENTROPY_INJECTION - Input: Baseline fragments F, coherence C(t), entropy slope ΔE(t) - Parameters: δ(t) (injection threshold), PRNG seed schedule S 1. Initialize fragment pool F₀ via inverse-planning. 2. For each fragment f ∈ F₀: a. Compute C_f = coherence(f). b. If ΔE_f ≥ δ(t): i. Perturb f: apply random swap/remove/augment. ii. Log entropy ΔE_f and coherence δC_f. ## Module 2: INVERSE_RESONANCE_METRICS - Input: Subverted fragments F₁, emotional polarity vectors P - Parameters: τᵣ (resonance threshold) 1. Map P(f) onto phase angles θ_f. 2. Compute PASₙ(f) = (1/N) Σ cos(θₖ – θ̄). 3. Select low-PAS fragments F₂ = { f | PASₙ(f) < τᵣ }. 4. Rank F₂ by ascending PASₙ. ## Module 3: META_REPARATIVE_LAYERS - Input: Ranked fragments F₂, narrative anchors A - Parameters: τ𝗋𝗲𝗽𝗮𝗶𝗿 (repair threshold), Cₜₐᵣ𝗴𝗲𝘁 1. For each f ∈ F₂: a. If PASₙ(f) < τ𝗋𝗲𝗽𝗮𝗶𝗿: i. Select anchor a ∈ A maximizing MI(a,f) ≥ θ(t), RC(a) ≥ γ(t). ii. Stitch f′ = integrate(f, a). iii. Compute C(f′); ensure C(f′) ≥ Cₜₐᵣ𝗴𝗲𝘁. 2. Output final set F₃ as Exploited Narrative Fragments.
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