The satisfiability problem asks whether a given Boolean formula in conjunctive normal form has an assignment that makes the formula "true." Cook (1971) showed that the problem is NP-complete.
Carenini (2026) announced existence of a limiting satisfiability threshold for every fixed clause size . In the model of independent uniformly signed clauses
on
distinct variables, sampled with replacement, there
is a finite positive
such that the probability
of satisfiability with
clauses tends to 1 for
and to 0 for
as the number
of variables tends to infinity.
Here
is the floor function.
For random k-SAT with , Vorobyev (2026) reported that a formula with
variables and
clauses is unsatisfiable
with probability tending to 1 as
. This is an upper bound
rather than an exact threshold. Vorobyev (2026) states that language models developed
the mathematical argument, numerical code, and Lean formalization under the author's
direction.