01 · The idea
What stayed with us
Curated domain data, filtered reasoning traces, supervised fine-tuning, model merging, and verifiable-reward reinforcement learning combine in a JEE mathematics specialist.
02 · The local translation
What we did with it
The study teaches how to separate initialization, data, filtering, training stages, reward, and evaluation before adapting a recipe to a Mac-sized target.
03 · The boundary
Where the comparison stops
The published result does not isolate each stage's contribution, and H100 training is not evidence of Mac-local reproducibility.