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A spectral technique for random satisfiable 3CNF formulas

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TLDR
It is shown that for any constants 0 ≤ η2,η3 ≤ 1 there is a constant dmin so that for all d ≥ dmin a spectral algorithm similar to the graph coloring algorithm of Alon and Kahale will find a satisfying assignment with high probability for p1 = d/n2, p2 =η2d/n 2, and p3 = η3d/ n2.
Abstract
Let I be a random 3CNF formula generated by choosing a truth assignment φ for variables x1, ..., xn uniformly at random and including every clause with i literals set true by φ with probability pi, independently. We show that for any 0 ≤ η2, η3 ≤ 1 there is a constant dmin so that for all d ≥ dmin, a spectral algorithm similar to the graph coloring algorithm of [1] will find a satisfying assignment with high probability for p1 = d/n2, p2 = η2d/n2, and p3 = η3d/n2. Appropriately setting η2 and η3 yields natural distributions on satisfiable 3CNFs, not-all-equal-sat 3CNFs, and exactly-one-sat 3CNFs.

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References
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TL;DR: This paper relates proof width to proof length (=size), in both general Resolution, and its tree-like variant, and presents a family of tautologies on which it is exponentially faster.
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Many hard examples for resolution

TL;DR: A randomly chosen family of clauses of size k over n variables is unsatisfiable, but every resolution proof of its unsatisfiability must generate at least (1 + ε)n clauses.