experiment-pipeline

Structure baseline reproduction and ablation studies using a four-stage experiment pipeline with generate, execute, record, diagnose, and revise loops. This workflow enforces stage gates and attempt budgets to ensure reproducible progress across datasets and configurations.

Enforce experiment budgets during hyperparameter tuning by applying fixed attempt limits across each pipeline stage. The budget-bound workflow gates progression to Stage 2 only after Stage 1 conditions are met, preventing runaway compute costs while logging artifacts.

Artifact logging across experiment stages works by storing outputs in dedicated stage directories under /experiments. The pipeline records trajectory logs and cross-stage summaries, integrating with evo-memory to maintain structured diagnostics and reproduction traces.

Reproduce literature baselines and validate novel methods using a stage-gated pipeline that separates initial implementation, hyperparameter tuning, proposed method validation, and ablation study. Each stage enforces gate conditions and fixed budgets before escalation to the next phase.

A fixed four-stage experiment pipeline limits research flexibility by imposing strict stage progression and attempt budgets. Researchers requiring ad-hoc exploration outside the initial implementation, tuning, proposed method, and ablation sequence may find the rigid gates restrictive for non-standard workflows.

Evo-memory integration is not required to run structured experiment diagnostics, but it provides cross-stage summary persistence and reproduction traces. The pipeline natively supports stage directories and trajectory logging, while evo-memory serves as an optional integration point for extended diagnostic context.