C-inf soft sparsity engine maths and code from 1972

Hmm… I’m not the right person to judge the math, but if the question is where to publish what in and around Hugging Face, my rough map would be something like this:

Very short version: for historical maths + Fortran code, I would probably use GitHub as the primary home.

Then:

• GitHub — code, notes, examples, license, citation file, releases
• Zenodo / DOI — stable citable archive
• HF Dataset repo — sample inputs/outputs, reproduced results, benchmark files, toy matrices, reproducibility package
• HF Space — interactive demo people can try in the browser
• HF Model repo + Model Card — only if there is a model-like artifact, such as weights, adapter weights, tokenizer/config files, or a reusable ML component
• HF Storage Bucket — large mutable files, logs, checkpoints, intermediate artifacts, not the main explanation page

So for this case, my default route would be:

1. GitHub first
2. Add CITATION.cff , license, examples, and release notes
3. Archive a release with Zenodo or another DOI path
4. Optionally add an HF Dataset repo for reproducibility files
5. Optionally add an HF Space if there is a small runnable demo
6. Use an HF Model repo only if the work becomes something model-like or loadable in an ML workflow

Optional extra notes below, only in case they help.

More detailed map (click for more details) Why I would separate the homes (click for more details) Possible GitHub layout (click for more details) Possible README sections (click for more details) Possible one-line notes to prevent confusion (click for more details) Possible low-friction roadmap (click for more details)