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.
Exact finite-permutation Shapley effects
Definition
Input: A finite player set , an exact oracle for at every , and a known satisfying and . In the sensitivity application, is the conditional-projection variance game of Shapley effects for dependent inputs.
- Initialize for every .
- For each of the permutations , traverse its entries in order. Start with . At entry , add to and replace by .
- Return for all .
The domain excludes and unavailable coalition values; the procedure does not approximate conditional expectations or their numerical errors.
Depends on
Used by
Dependency tree · two levels
4 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
- Eunhye Song, Barry L. Nelson, and Jeremy Staum, Shapley Effects for Global Sensitivity Analysis: Theory and Computation, §3.1 (standard reference, not scraped)