[[paper-data]]

Notes

I believe this is the paper that says working in the DKPS is valid, but I would need to read it again to be sure.
Just kidding, I think it is actually Comparing Foundation Models using Data Kernels that does that

This has convergence of DKPS to some arbitrary deterministic representation of the space instead.

Theorem 1 here = Theorem 2 in Trosset and Priebe 24 Continuous Multidimensional Scaling

• [I] More replicates $⟹$ better estimation
• (fixed models and queries)

Theorem 2 here

• [I]

• (Bound on growth of number of queries wrt number of replicates)

• [?] Are the MDS guarantees specifically for the raw-stress embedding? And what is the raw stress embedding anyway?

Mentions

const modules = await cJS()

const COLUMNS = [  
	{ id: "Name", value: page => page.$link },  
	{ id: "Last Modified", value: page => modules.dateTime.getLastMod(page) },
];  
  
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}  

const { dateTime } = await cJS()

return function View() {
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}