This article proposes a hybrid geometric modeling approach for the reconstruction of archaeological objects based on historical sources and fragmentary remains. The case study focuses on the Shakhriston Hill complex located in the city of Kuva, Fergana Region, where diverse object types are examined, including residential traces, elements of temple and funerary structures, storage pits, and ceramic artifacts. The work�low is organized into three stages. First, point clouds acquired through photogrammetry and terrestrial laser scanning (TLS) are cleaned, registered into a uni�ied coordinate system, and semantically segmented. Second, a structural “skeleton” of the object is reconstructed through parametric �itting of elementary geometric primitives (planes, cylinders, cones, spherical or paraboloidal segments, and surfaces of revolution). Third, local gaps are completed using spline-based smoothing, while historical proportions, modular constraints, and symmetry rules are incorporated into the optimization objective as regularization and penalization terms. Source reliability is accounted for through weighting, and the final model is evaluated using a combined set of indicators, including geometric accuracy, historical consistency, and evidential coverage. The paper emphasizes a two-step reconstruction logic – from an initial visual hypothesis to an accuracy-controlled practical reconstruction – which enables early reduction of alternative solutions and saves