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.
A finite star class can require one query per alternative
Example
For any integer , let with its full sigma-algebra, let be any probability measure on , and define for every and exactly when , for . Let , pool , target , exact oracle , and query budget . The fixed ascending-scan procedure queries every pool index, receives label at each query, removes exactly one alternative hypothesis per query, and ends with after queries. For every integer , the subfamily has class size and query count , so the query count is not bounded by any fixed constant times as varies; denotes the natural logarithm.
Example references
Finite pool-based realizable active-learning instance: supplies the exact-target finite-pool model.
Finite-pool version-space query procedure: specifies the ascending scan and update rule used in this example.
The natural logarithm as the inverse of the exponential function: defines the natural logarithm used in the asymptotic comparison.
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: supplies the product law and strict monotonicity for that comparison.
Facts & Assumptions
Given: The star class, pool, target, exact oracle, and budget in the Example.
Finite pool-based realizable active-learning instance: the target belongs to the finite classifier class and the oracle returns its label at every queried pool point.
Finite-pool version-space query procedure: the fixed procedure scans pool indices in increasing order and retains exactly the hypotheses agreeing with each queried label.
The natural logarithm as the inverse of the exponential function: for positive , is the real inverse of the exponential.
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: is strictly increasing, , and .
Verification
Before the first query, . Suppose before index the current version space is . At , while and for every , so the point is a disagreement. Since , the procedure queries it; [F1] returns , and [F2] removes exactly . Thus after this query the version space is . Induction proves this description at every index.
Applying step 1.1 through shows that all queries receive the positive target label, each removes one distinct alternative, and the final version space is . Hence .
Set for integers . Then and . Repeated application of [F4]'s product law gives , and strict increase with gives . The ratio is at least ; the latter grows without bound because its consecutive-term ratio is . Therefore no fixed constant multiple of bounds the query count over this family.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
11 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
- Daniel Joseph Hsu, Algorithms for Active Learning, Chapter 2 (standard reference, not scraped)