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Electronic Colloquium on Computational Complexity

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TR26-262 | 20th October 2026
Omar Alrabiah, Rohan Goyal, Venkatesan Guruswami

Explicit Reed-Solomon Subspace Designs: Optimal List and Line Decoding

For any desired rate $R \in (0,1)$, and gap to list-decoding capacity $\varepsilon > 0$, we give an explicit $n^{O_{\varepsilon}(1)}$ time construction of Reed-Solomon codes over extension fields of size polynomial in the block length $n$ that can be list-decoded from a fraction $1-R-\varepsilon$ of errors with the optimal list-size ... more >>>


TR26-261 | 19th October 2026
Xin Li, Yan Zhong

Short Point Lists for CNFs and Stronger Constant-Depth Circuit Hardness

We give a short-description decomposition of bounded-width CNFs. For every fixed $\varepsilon>0$, every width-$b$ CNF on $m$ variables is an exact disjoint union of at most $2^{\varepsilon m}$ width-$b$ CNFs, each determined by $2^{O_\varepsilon(b)}\log(m+1)$ satisfying assignments.

For every fixed $d\ge3$, we prove a worst-case size lower bound of $2^{\Omega_d((n\log n)^{1/(d-1)})}$ ... more >>>


TR26-260 | 19th October 2026
Om Swostik Mishra, Rahul Santhanam

An Explicit 3.5n-o(n) Size Lower Bound against General Boolean Circuits

We give a $3.5n-o(n)$ lower bound on the size of Boolean circuits over the $B_2$ basis computing an explicit Boolean function F in P. This improves the best previous lower bound of $3.1n-o(n)$ [Li-Yang22].

The proof of the lower bound uses the gate elimination technique, and builds heavily on ideas ... more >>>



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