Newly Important Is Not Newly Built: What Reasoning Post-Training Adds Inside a Language Model, Why the Evidence Separates Representation From Wiring From Deployment, and the Cross-Model Tests That Would Show an Attention Head Is New

APA

Mahendrakar, P. (2026). Newly Important Is Not Newly Built: What Reasoning Post-Training Adds Inside a Language Model, Why the Evidence Separates Representation From Wiring From Deployment, and the Cross-Model Tests That Would Show an Attention Head Is New [Preprint]. Life of Research. https://doi.org/10.5281/zenodo.23536189

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BibTeX

@misc{lor1252026,
  title        = {Newly Important Is Not Newly Built: What Reasoning Post-Training Adds Inside a Language Model, Why the Evidence Separates Representation From Wiring From Deployment, and the Cross-Model Tests That Would Show an Attention Head Is New},
  author       = {Pranay Mahendrakar},
  year         = {2026},
  publisher    = {Life of Research},
  doi          = {10.5281/zenodo.23536189},
  url          = {https://lifeofresearch.com/preprints/125},
  keywords     = {reasoning models, post-training, mechanistic interpretability, attention heads, model diffing, reinforcement learning with verifiable rewards, distillation, circuit analysis},
  note         = {LOR-00125}
}

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