Hadronic mass prediction remains a central challenge in modern particle physics. In quantum chromodynamics, most of the observed mass of hadrons arises not from bare quark masses alone, but from confinement, gluonic binding, flavor structure, spin, isospin, orbital excitation, and state-dependent dynamics. Lattice QCD provides the first-principles computational framework for this problem, but compact analytic or semi-analytic mass laws that remain accurate across a broad hadronic spectrum are still difficult to construct. In this work, we present a compact phenomenological operator formulation of hadronic mass. The observed mass of a hadron is decomposed into three distinct contributions: an intrinsic quark baseline, a cumulative flavor-transition burden, and a realized gluonic bond energy. The state-dependent bond contribution is written as an exponential bra-ket realization over a sparse quantum-property ket, while the transition sector is written as a linear channel-summed operator over flavor-transition kets. The resulting mass law achieves a mean absolute percentage error of approximately 0.05607% across a benchmark dataset of 274 hadronic entries, including quark baselines, mesons, baryons, excited states, and selected higher composite candidates. The residual distribution remains tightly bounded, with the largest deviations lying near the upper 1.2% range. A key feature of the formulation is its compression. Nearly the full benchmarked spectrum is represented using 28 quantum-property rule families, eleven state-specific weight bras, a universal transition-energy bra, and channel transition-count kets. The mesonic and baryonic bond anchors are fixed from the charged pion and proton after subtracting explicit transition and quark-baseline terms. The mesonic bond scale is further connected to a finite-domain confinement-vibrational interpretation, preserving continuity with earlier confinement-based work. The full Python implementation and benchmark output are included for direct reproducibility. The purpose of the paper is not to replace QCD or lattice QCD, but to expose a compact phenomenological state structure that appears to organize hadronic masses with unexpectedly high numerical accuracy across a wide range of systems. This paper presents the full formulation, dataset, source code, benchmark results, and interpretation of the operator mass framework. How can a phenomenological model achieve this level of agreement across such a wide range of systems? This paper presents the full formulation, dataset, python code to reproduce and results.
Thomas Lock (Thu,) studied this question.