We propose the random-sign Invertible Bloom Lookup Table (IBLT) for calibration-free self-sizing after decoding failure. In a two-round set reconciliation protocol, the receiver uses the failed first-round table to estimate an upper bound on the unknown difference size $d$ and size the second-round table. In standard IBLTs, failure selection couples the overlap bias with the sign composition of the set difference, making practical sizing depend on offline simulation calibration. A shared pseudorandom sign independent of the position mapping removes this dependence while preserving cell fields, field widths, and ideal peeling recovery. We prove exact unbiasedness on every fixed mapping, a Gaussian limit after failure for $d\gg\sqrt M$, and a discrete limit dominated by duplicate edge pairs at smaller scales, where $M$ is the number of cells. These results yield a Skellam upper-bound rule whose conditional miss rate is asymptotically at most the target risk, uniformly over all $d\ge2$, without offline calibration. More than 500 million paired decoding trials and end-to-end protocol experiments support the design. For small differences, the Gaussian rule's conditional miss rate exceeds the target by more than a factor of 8. The Skellam rule meets the target within sampling error across all 189 tested load configurations. Total two-round communication approaches that of an oracle using the true $d$ in the same protocol. With fixed deployment parameters, precomputed table lookup reduces sizing to less than one microsecond, with total protocol time within 0.5 percent of the Gaussian rule.

翻译：暂无翻译