Disentangling gradient quality from architecture in recursive reasoning. Controlled experiment: 1-step gradient approximation is the sole bottleneck in HRM vs TRM performance gap.
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Updated
Jun 16, 2026 - Jupyter Notebook
Disentangling gradient quality from architecture in recursive reasoning. Controlled experiment: 1-step gradient approximation is the sole bottleneck in HRM vs TRM performance gap.
Completing the 2x2 factorial: HRM's hierarchy with full BPTT reveals gradient-architecture interaction
A real BFGS curvature-condition bug, demonstrated: one character sends the optimiser uphill by six orders of magnitude. Two files, one command, no dependencies.
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