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Main Author: Hubáček, Pavel
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.23809
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author Hubáček, Pavel
author_facet Hubáček, Pavel
contents We establish that adaptive collision-finding queries are strictly more powerful than non-adaptive ones by proving that the complexity class PWPP (Polynomial Weak Pigeonhole Principle) is not closed under adaptive Turing reductions in the black-box setting. Previously, PWPP was known to be closed under non-adaptive Turing reductions (Jeřábek 2016). We demonstrate this black-box separation by introducing the NESTED-COLLISION problem, a natural collision-finding problem defined on a pair of shrinking functions. We show that while this problem is solvable via two adaptive calls to a PWPP oracle, it cannot be solved via an efficient black-box non-adaptive reduction to the canonical PWPP-complete problem COLLISION.
format Preprint
id arxiv_https___arxiv_org_abs_2602_23809
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Black-Box PWPP Is Not Turing-Closed
Hubáček, Pavel
Computational Complexity
We establish that adaptive collision-finding queries are strictly more powerful than non-adaptive ones by proving that the complexity class PWPP (Polynomial Weak Pigeonhole Principle) is not closed under adaptive Turing reductions in the black-box setting. Previously, PWPP was known to be closed under non-adaptive Turing reductions (Jeřábek 2016). We demonstrate this black-box separation by introducing the NESTED-COLLISION problem, a natural collision-finding problem defined on a pair of shrinking functions. We show that while this problem is solvable via two adaptive calls to a PWPP oracle, it cannot be solved via an efficient black-box non-adaptive reduction to the canonical PWPP-complete problem COLLISION.
title Black-Box PWPP Is Not Turing-Closed
topic Computational Complexity
url https://arxiv.org/abs/2602.23809