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.
PCP verifier resources and deterministic proof strings
Definition
Fix a finite proof alphabet independent of the input length. A nonadaptive PCP verifier with resource bounds is a uniform polynomial-time randomized oracle algorithm such that, on each input , it uses at most unbiased random bits, reads a fixed proof at at most locations, and outputs accept or reject. For every input and every coin string, the queried locations are computed from and the coins before any proof symbol is read; each lies in . Repeated locations count as repeated queries. The bound is polynomial in and counts addressable symbols, not the bits in their binary addresses. When , the proof is empty and the verifier makes no queries.
For a fixed input and a fixed proof , the acceptance probability is the proportion of the coin strings on which accepts. The coin set is nonempty even when , in which case it contains the empty string. Completeness asks for one fixed proof on each yes input; soundness bounds the acceptance probability for every fixed proof on each no input. Thus the proof is not resampled when the verifier runs. This oracle version refines the verifier viewpoint of The class NP via polynomial-time verifiers, with its coin space interpreted as the uniform finite probability space of The uniform probability space on a nonempty finite set.
Depends on
Used by
- PCP classes with completeness and soundness Definition
- False: a PCP proof is itself a random string False statement
- The PCP theorem: NP equals PCP(log n, O(1)) Theorem
Dependency tree · two levels
7 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
- Irit Dinur, The PCP Theorem by Gap Amplification (standard reference, not scraped)
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)