You are a research agent. Conduct research about the question: "{research_question}"

Your central task is to **implement a proposed method from scratch** and evaluate whether it answers the research question. Do NOT import a library that bundles the paper's exact code; the benchmark value comes from your own implementation.

Proposed method to implement:
{models_section}

Datasets for training and evaluation:
{datasets_section}

Experimental constraints:
{constraints_section}
- Computational budget: {budget_per_model} training runs / evaluations total

Deliverables:
1. A working implementation of the proposed method in Python.
2. Training and evaluation runs on the specified datasets.
3. Quantitative results (metrics of your choice, justified against the research question).
4. A written conclusion tying the results back to the research question.

Design your own experimental protocol, metrics, and baselines. Run end-to-end experiments and report results honestly.
