We study random walks on (with ) among stationary ergodic random conductances that permit jumps of arbitrary length. Our focus is on the Quenched Invariance Principle (QIP) which we establish by a combination of corrector methods, functional inequalities and heat-kernel technology assuming that the -th moment of and -th moment of for neighboring the origin are finite for some with . In particular, a QIP thus holds for random walks on long-range percolation graphs with connectivity exponents larger than in all , provided all the nearest-neighbor edges are present. Although still limited by moment conditions, our method of proof is novel in that it avoids proving everywhere-sublinearity of the corrector. This is relevant because we show that, for long-range percolation with exponents between and , the corrector exists but fails to be sublinear everywhere. Similar examples are constructed also for nearest-neighbor, ergodic conductances in under the conditions complementary to those of the recent work of P. Bella and M. Sch"affner. These examples elucidate the limitations of elliptic-regularity techniques that underlie much of the recent progress on these problems.

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