Also, get yourself some great mentors because it's priceless :)

That's it! I converged on this system after many iterations (only recently added metadata from which I generate metrics with the `dataviewjs` plugin). The most important thing was taking all the advice and constructing something that works day-to-day for me.

Finally, I keep a pdf of every paper locally so I can refer back to the specific version I read later. Tip from
@LakeBrenden (who doesn't seem to be here but is on the twit)!

Every day of course means 2 or 3 times a week come on guys my work ethic fluctuates like the #BTC price

Every day I spend 30 minutes at the end of the day to do some upkeep. Transfer random links I sent to myself to separate reading lists, clean some of the metadata, polish some stuff in project notes sections and move to standalone notes, etc.

Then I have a project notes folder where I keep less structured notes about specific projects (or courses or reviewing). Those can link back to paper notes and standalone notes and are generally a bit more messy.

With these notes I keep sources, tags, and links related to the idea. Check out
@spiantado 's work for more on this last note :)

Another ex.: "Lots of current theories of human learning converged to the hypothesis that it operates over probabilistic, program-like representations. An example is how children learn numbers. They learn 1, 2, 3, in turn, and at some point immediately acquire the entire system."

E.g. a note titled "LLN":
"The law of large numbers is the most important theorem in ML; it allows estimating expectations by sample avgs. We use it in max likelihood est. The law says that if we have independent data from a source, we can recover properties of the source."

I have a separate folder for important short ideas. These are standalone notes that can refer back to multiple papers or none at all.