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Yeah, definitely finding that 😂. Do wonder if I should at least be starting to model this stuff in a proof system. That's yet another rabbit hole to head down! And from what I hear the proofs can be a pain - lots of mutual recursion and stuff. 😬
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I think at this point most people involved in Coq development, at least, agree that a majority of the stuff in it should be in a proof assistant (maybe should have been from the beginning). I strongly recommend you try to prove as much as you possibly can; it'll save you later.
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Do you have any recommendations of a proof system? I was messing with Lean for a bit because it worked with VS Code nicely, but they don't have as many libs for TT development atm - like variable binding and such. :/
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One thing I've been toying with (that I should probably actually do) would be to use a tool like Iris to encode the (rough) logic of the reduction machine as an imperative program.
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Then separately, you might design a language in Iris whose semantics were those of the abstract machine, and try to prove them observationally equivalent (using some sort of contextual refinement, maybe?).
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Well, they're what you're actually *implementing*, so if you want to tie this proof to what you're doing it's necessary. You don't have to do it if you just want to prove things about your theory, but in fact most bugs in Coq are not foundational ones, but implementation errors.
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A huge advantage of having parts of the kernel (especially stuff like the reduction machine) formalized would be to catch those bugs, since the correctness of those modules is relied upon heavily elsewhere and they are used all over the place.
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Ideally you'd extract an implementation, but in practice we aren't really there yet, so you just try to make sure it matches closely. It's not a satisfying answer and I hope to improve that! That said, I believe even something like that would catch almost all implementation bugs.
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