Add JOSS 2.0 paper draft - #200
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paper.md and paper.bib present the second-generation package: its design, the seven method families, the capability table, hyperparameter optimization, and testing. Figure 1 differentiates three simulated signals with two methods each, drawn from six of the families, with hyperparameters chosen by `pynumdiff.optimize` at measured bandlimits rather than by eye, and make_figure.py regenerates it. The table and figure are written so JOSS's template cannot break them across pages. A draft-pdf GitHub action builds the paper on every push, and the README gains the same figure.
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paper/paper.md and paper/paper.bib covering the updated package: seven method families, multidimensional support, variable step size, missing data, circular domains, robustdiff, tvrdiff, and hyperparameter optimization. References companion Taxonomy paper (arXiv:2512.09090).