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.
Independent fixed-level splitting
Definition
Input the nested levels and exact conditional samplers for from Nested rare-event levels and conditional laws, a particle count , and a declared per-draw work cost for each level. If any conditional sampler is unavailable, return conditional-sampler-unavailable.
For each level , independently of every other level, draw IID from . Set Return , the level counts, total draw work , and status success if all level counts are positive or zero-level-estimate otherwise. The zero estimate is not a proof that .
The procedure is an ideal independent-level baseline. It does not assert that a branching or Markov mutation method produces independent exact conditional draws.
Depends on
Used by
Dependency tree · two levels
2 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.
Sources
- Adam M. Johansen, Pierre Del Moral, and Arnaud Doucet, Sequential Monte Carlo Samplers for Rare Events, §§2–3 (standard reference, not scraped)
- Gino Biondini, An Introduction to Rare Event Simulation and Importance Sampling, Handbook of Statistics 33, Chapter 2, §8 (standard reference, not scraped)