  Jet energy calibration is an important aspect of many measurements and
searches at the LHC. Currently, these calibrations are performed on a per-jet
basis, i.e. agnostic to the properties of other jets in the same event. In this
work, we propose taking advantage of the correlations induced by momentum
conservation between jets in order to improve their jet energy calibration. By
fitting the $p_T$ asymmetry of dijet events in simulation, while remaining
agnostic to the $p_T$ spectra themselves, we are able to obtain
correlation-improved maximum likelihood estimates. This approach is
demonstrated with simulated jets from the CMS Detector, yielding a $3$-$5\%$
relative improvement in the jet energy resolution, corresponding to a
quadrature improvement of approximately 35\%.
