SYNTH paper proposes fully synthetic single-stage training for reasoning models

The SYNTH paper, titled It's All Training, presents a fully synthetic single-stage pipeline for training workable reasoning models with high data efficiency.

The authors argue this approach does not separate training into pretraining, mid-training, or post-training stages.

The image shows the paper's abstract, which describes a pipeline built from a 58,000-article Wikipedia-based synthetic corpus and models named Baguettotron-600M and Baguettotron-MoE.