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Wikipedia usually has academic references at the bottom of their CS articles, which are generally the foundational papers that introduced the idea in the first place.

Dipping my toe into off-topic for a bit:

Wikipedias "sources" can range from very accurate and on-topic to complete garbage. They certainly train you to filter out the good from the bad, as well as to consider whether the paper is even relevant to the statement it's being cited for.

Maybe 1/4th of the papers I read end up at https://arxiv.org/. I rarely just surf there, but when googling around looking up interesting cutting edge topics often a paper hosted on https://arxiv.org/ comes up on google search results.

Also, there are communities that share a lot of papers. Eg if you're interested in ML (which, if you didn't know, is a CS topic), https://old.reddit.com/r/MachineLearning/ posts a lot of papers.

edit: I just searched for a random CS paper for you. I haven't read it. Are you feeling lucky? https://arxiv.org/abs/1004.2772

There's a nice compilation on this repository https://github.com/papers-we-love/papers-we-love

I'm building https://42papers.com to surfaces top trending papers in Machine Learning and Computer Science. [shameless plug]