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This whole mindset is so shockingly wrong from an academic perspective.

Research based on or involving code/models/algorithms should always be accompanied by a code drop. Nobody expects the code to be of good quality.

Everything else is not reproducible - and against the scientific codex (IMO).

I read so many papers that claim incredible results, and wondering how they implemented their models in this particular simulator (close to impossible with only what is out there), only to find that there is just nothing to be found, anywhere. No repo, no models, no patch. NIL.

Sending an E-Mail? No response.

Further, anyone could just claim anything this way. Why bother doing any real work?

What if there is a small error in the code?

Wouldn't it be better to know that? In a scientific sense, searching for "the truth"?



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