gpd-branch-hypothesis

To test alternative hypotheses in parallel, you can spawn dedicated hypothesis branches that fork your STATE.md file, keeping the main research line isolated and clean while exploring different derivations side-by-side.

Comparing outcomes from parallel research branches requires tracking branch metadata and initializing a separate HYPOTHESIS.md for each fork, enabling side-by-side evaluation and auditability via branch comparison tooling.

Forking STATE.md to create an isolated investigation branch involves using GPD tooling to spawn a parallel hypothesis branch and automatically initialize the HYPOTHESIS.md workspace for that alternative derivation.

Yes, you can explore multiple algorithms simultaneously without polluting the main research branch by creating parallel investigation branches that maintain separate state files for each alternative approach.

Yes, GPD tooling is required to fork the state file, initialize the hypothesis workspace, and track branch metadata systematically for later evaluation and comparison of your alternative derivations.

You should use parallel hypothesis branches when you want to test two or more derivations or algorithms simultaneously, requiring isolated state tracking to compare outcomes without risking your primary research line.