Seeder Hypothesis Generation — DEJAN Codebase Explorer

During setup, the seeder evaluates the competitive ranking set and target content to generate a series of testable claims, each assigned an estimated prior probability that initializes a Beta distribution for Bayesian tracking.

Referenced by

Bayesian Optimization Engine Mechanics
Beta Distribution Posterior
Claim Elicitation and Seeding
Extractive snippet rewrites
Bayesian Content Optimization Overview
Bayesian Content Optimizer Architecture
Content Optimizer Engine Loop
Beta distribution claim updates
Seeder Ideator Ranker Interaction
Bayesian Content Optimization Loop
ARC Content Optimization Application
Bayesian Optimization Loop Mechanics
Thompson Sampling in Snippet Optimization
Optimizer Testable Hypotheses