Reproduce “Spectral Rank and Step-Direction Dynamics in Language-Model Post-Training” on OpenResearch

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About this paper

Khurram Khalil, Khaza Anuarul Hoque

The paper distinguishes spectral concentration from energy coverage and compares consecutive post-training weight changes by cosine. Its example PPO query update has stable rank 9.58, yet needs 532 singular components to capture 80% of its energy. Across public RLVR stages, all 131 adjacent pairs had negative cosines. Three paired runs showed lower alignment after changing the advantage package, without establishing the cause.

Summary by alphaXiv.

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