When you are new to a research area, whether as a PhD student, a young postdoc or even a more experienced researcher, you have to absorb a lot of information. Of course you have to learn the math behind your new area, but also you have to know the main problems, the main results and the relevant history/literature.
This is something that always puzzled me a bit. When you see a publication or you go to a lecture of a senior researcher, the lecturer usually contextualizes his/her research by citing a lot of other works and authors. At least to me, the feeling is that the lecturer knows in great detail every such cited work: what was done, what was not done, the proofs etc. However, as a young researcher, I sometimes feel a bit overwhelmed with such a huge amount of information in the field. What I mean is that I can oftentimes memorize who proved what and when, but almost in an encyclopedic way. However, it seems almost impossible to keep track of much more than that. In fact, sometimes a single problem was studied a lot of times under different techniques or slightly different hypothesis, and each paper is many pages long. Even if I want to upload every such paper and skim over it, it is beyond me to understand all the ideas and still have time to do my own research. On the other hand, memorizing results seems almost meaningless if I don't know more than what was proved and by who/when.
So, my question is: Is it common for mathematicians to know about important results in their own field only in a superficial way, at least at the beginning of their careers? Is this also relevant knowledge? And are there good practices that allow one to learn a bit more than only facts and still be able to do their research?