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.
Budgeted verifier-guided generation and best-of-N sampling
Definition
For a fixed prompt , take the finite truncated response set , sampling policy , verifier , and selection score from the generation protocol. Given an integer budget , choose exactly one of the following modes. Response draws, verifier and score evaluations, and comparisons of real scores and of the supplied tie order are supplied terminating exact operations with finite per-call costs. Each draw returns a response from the specified policy support with the stipulated independent law; no construction of a random source is asserted.
-
Rejection search. Draw responses one at a time independently from . Return the first response for which , together with status
accepted. If no sampled response is accepted after draws, returnfailureand no response. Stop at the first acceptance or after the th draw, whichever occurs first. -
Best-of-. Draw exactly responses independently from . Return a response with maximal value of ; if several responses have maximal score, return the -least one. Return status
selected. This mode does not use the verifier to select its output and does not declare the selected response correct.
Its output law is the one induced by the specified prompt, finite response set, length budget, truncation marker, policy, verifier or score, and tie order.
Definition references
Budgeted verifier generation terminates with bounded response and selection calls ↗: proves termination, the output rules, and the finite draw, evaluation and comparison bounds under the supplied-call model.
Depends on
Used by
- Pass-at-one, oracle pass-at-N, and verifier-selected accuracy differ Example
- Perfect and false-positive verifiers have different rejection outcomes Example
- Budgeted verifier generation terminates with bounded response and selection calls Lemma
- Reasoning-training evidence and evaluation targets Remark
- Independent generation success and verifier false-acceptance bounds Theorem
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
- DeepSeek-AI, DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning, original arXiv v1 (standard reference, not scraped)