ML-Intern-lab/pre2post-chess-replication

Replication: "Understanding Reasoning from Pretraining to Post-Training" Reduced-scale replication of core claims from "Understanding Reasoning from Pretraining to Post-Training" (Shen et al., arXiv:2607.16097), using the authors' released checkpoints, benchmark and code (pavelslab-nyu, Pre2Post-Chess-RL, GitHub). Scope (agreed with the task owner): T0 = rebuild + calibrate the eval harness against the authors' protocol; T2 = replicate the joint pretraining–RL scaling law… See the full description on the dataset page: https://huggingface.co/datasets/ML-Intern-lab/pre2post-chess-replication.

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