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Re:Autodidax: Jax Core from Scratch (In Python) by marcle on Sunday February 12, 2023 @05:39AM (#34761776)
I find the solutions from https://github.com/qobi/AD-Rosetta-Stone/ to be very helpful, particularly for representing forward and backward mode automatic differentiation using a functional approach.

I used this code as inspiration for a functional-only (without references/pointers) in Mercury: https://github.com/mclements/mercury-ad

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