This example is a bit lower in the hierarchy than what Kaveh asks for, but it is an open problem whether the soundness of the uniform $\mathrm{TC}^0$ algorithms for integer division and iterated multiplication by Hesse, Allender, and Barrington can be proved in the corresponding theory $\mathit{VTC}^0$.
The argument is pretty elementary, and there should be no problem formalizing it in $\mathit{TV}^0$, but with respect to $\mathit{VTC}^0$ it suffers from a chicken-and-egg problem: it makes heavy use of the very functions whose $\mathrm{TC}^0$-computability is furnished by the algorithm.
For another example, the Jacobi symbol $\left(\frac an\right)$ is polynomial-time computable, but its soundness in the form
if $p$ is an odd prime and $\left(\frac ap\right)=1$, then $a$ is a quadratic residue modulo $p$
is not provable in $S^1_2$ unless factoring can be done in probabilistic polynomial time, by the arguments here.
Another class of examples is given by irreducibility testing and factorization algorithms for polynomials (primarily over finite fields and over the rationals). These invariably rely on Fermat’s little theorem or its generalizations (among others), and as such are not known to be formalizable in an appropriate theory of bounded arithmetic. Typically, these algorithms are randomized, but for deterministic polynomial-time examples, one can take Rabin’s irreducibility test or the Tonelli–Shanks square-root algorithm (formulated so that a quadratic nonresidue is required as a part of the input).