How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Finite-particle SIR absolute and relative error scope
Remarks
Assuming AC, under positive prefixes and full multinomial resampling, Fixed-level SIR has an absolute O(L/N) mean-square bound proves the absolute bound for event potentials . This does not control relative error uniformly in rarity, because relative error divides by (equivalently, relative variance divides by ). The published Time-uniform SMC asymptotic variance under uniform weight and operator bounds concerns fixed-horizon CLT variances and does not establish a finite-particle bound. Cérou–Del Moral–Guyader's Theorem 1.5 is a distinct finite-particle result with additional potential-ratio and iterated-kernel domination hypotheses.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
19 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.