Sheaf-Laplacian Obstruction and Projection Hardness for Cross-Modal Compatibility on a Modality-Independent Site
Authors: Tibor Sloboda
Organizations: UPAI, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Bratislava, Slovakia. · aleph0 s. r. o., Bratislava, Slovakia.
Cross-modal representations vary in how easily they can be aligned, and compatibility is generally non-transitive: two modalities may align through an intermediate modality at lower complexity than through a direct map. We introduce a reference formalism that evaluates all modalities on a fixed neighborhood site and defines two directed invariants. Projection hardness Ha→b(ε) is the minimum complexity within a nested Lipschitz-controlled family required to reach error ε. For a declared local projection family, sheaf-Laplacian obstruction Ca→b(ε) is the minimum variation of locally fitted projection parameters required to reach the same error. Under identity restrictions, obstruction is the graph Dirichlet energy of a vector-valued parameter field; the sheaf formulation identifies zero energy with successful gluing and extends to edge-dependent transports and heterogeneous parameter spaces. We relate obstruction to the site spectral gap and excess global-map error, and construct ReLU examples showing non-transitive compatibility and a quadratic separation between staged and direct width. Controlled synthetic calibrations recover the predicted hardness separation, cut-induced obstruction scaling, and sensitivity to the fixed site graph.
Figures & tables
Figure 1: Conditional dependency graph of the framework. Nodes represent definitions, constructions, or results. A directed edge indicates a logical prerequisite.
Figure 2: Diagnostic regimes defined by projection hardness and sheaf-Laplacian obstruction under declared global and local specifications.
Figure 3: Parameter-field view of the sheaf-Laplacian obstruction invariant.
Figure 4: Bridging via an intermediate modality.
Figure 5: Projection-hardness calibration in the known bridge experiment. Panel A compares direct and staged hardness as bridge complexity increases; panel B compares the true intermediate with shuffled and random controls. Right-censored values are displayed at 2046 .
Figure 6: Obstruction calibration for the scalar sign-flip construction. Panel A compares compatible, planted, and shuffled-sign conditions; panel B compares measured obstruction with the analytic reference across cut sizes.
Figure 7: Site-sensitivity calibration of the obstruction quantity under varying cross-cluster edge placement. The data and projection family are fixed.