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Electronic Colloquium on Computational Complexity

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TR26-091 | 4th June 2026
Halley Goldberg, Mandar Juvekar, Valentine Kabanets

Non-Levin NP-Hardness of Implicit MCSP and PAC Learning under Few Assumptions

We show that several meta-complexity problems are NP-hard under randomized polynomial-time (half-Levin) reductions, and provably cannot be NP-hard under randomized Levin reductions, under the assumptions that
(cryptography): there exists a subexponentially-secure indistinguishability obfuscator in the sense of Barak et al. (JACM 2012), and
(proof complexity): there are no ... more >>>


TR26-090 | 30th May 2026
Pruthvi Boyapati, Suryajith Chillara, Pratyush Vempati

Multilinear Formula Lower Bounds for Sparse Determinants

Raz (2009) proved that multilinear formulas computing the determinant of a generic $n \times n$ matrix require size $n^{\Omega(\log n)}$. A fundamental question in understanding this lower bound is identifying which structural properties of the determinant drive this hardness. In pursuit of this question, we prove the existence of $n ... more >>>


TR26-089 | 30th May 2026
Marshall Ball, Eshan Chattopadhyay, Mohit Gurumukhani, Yunya Zhao

Near Optimal Extractors for Samplable Sources under Nondeterministic Hardness

Revisions: 1

We study the problem of constructing randomness extractors for samplable sources, introduced by Trevisan and Vadhan (FOCS 2000), a natural computational model of imperfect randomness, where the source $\mathbb{X}$ (on $n$ bits) is generated by a polynomial-size circuit. They showed how to extract from sources with min-entropy $(1-\alpha)n$ (for small ... more >>>



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