We study square 4-Tensor Isomorphism over finite fields in the average-case model where the first tensor is uniform and the second is arbitrary. The closest polynomial-time method exploits a higher-dimensional flattening kernel. The denser corank-one stratum occurs on the scale, but its one-dimensional kernel loses the matrix-pair information used by that method. We make this minimal defect algorithmically useful. After normalizing the left and right kernel matrices to the identity, the residual action becomes a pair of adjoint actions on . The normalized flattening induces a uniform map ; its two Gram operators yield linked projective spectral matrix pairs. We prove constant-probability scalar common-centralizer bounds for their actual orthogonality-conditioned distribution, recover both residual conjugations without enumerating field elements, and lift them to all four tensor factors.
For every odd prime power and with , this gives a randomized partial algorithm with expected running time that is correct on at least of uniform first tensors, for an explicit universal . Its only randomized components are Las Vegas finite-field subroutines. We also give a complementary large-field result on tensors whose three standard flattenings are invertible. These results concern certified average-case complexity, and both tractable events are efficiently recognizable.