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Electronic Colloquium on Computational Complexity

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TR26-253 | 13th October 2026
Halley Goldberg, Jinqiao Hu, Zhenjian Lu, Jingyi Lyu, Igor Oliveira

The Gap Between Average-Case and Worst-Case Complexity

Understanding the average-case complexity of $\mathrm{NP}$ is a central goal in complexity theory and cryptography. A necessary milestone is to understand the corresponding average-case versus worst-case question for the polynomial hierarchy ($\mathrm{PH}$). In a celebrated result, Hirahara [Hir21] proved that if every distributional problem in $\mathrm{PH}$ is easy on average, ... more >>>


TR26-252 | 11th October 2026
Shubham Bhardwaj

Unconditional Separation between LL and CLL

Catalytic computation involves the study of Turing machines that are provided an additional catalytic tape (with arbitrary content) that the machine may use while ensuring that the tape contents are restored at the end of the computation. Although it is known that catalytic log-space machines are at least as powerful ... more >>>


TR26-251 | 14th October 2026
Chin Ho Lee, Shachar Lovett, Tejas Nareddy, Emanuele Viola

Pseudorandom Bits for Low-Degree Modular Polynomials

We revisit the problem of constructing explicit pseudorandom generators which output $n$ bits that look random to $n$-variate degree-$d$ polynomials modulo $m$. We give new generators with seed length $2^{O(dm^2)} \log(n/\varepsilon)$, which is optimal for any fixed $m$ and $d$. Along the way, we prove new Fourier growth bounds for ... more >>>



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