Description Traditional limits on system description—such as Gödelian incompleteness, Kolmogorov incompressibility, and thermodynamic residue—are often treated as distinct phenomena within their respective fields. This paper proposes a unifying framework where these limits are understood as domain-specific manifestations of a single observer-incompleteness constraint. At the core of this work is the Closure Postulate, which defines "closure" as the mandatory many-to-one operation required for any bounded-memory agent to restore representational capacity during cyclic measurement or inference. This operation is logically irreversible and provides the physical mechanism that converts logical incompleteness into thermodynamic residue. Key Contributions: • The Scaling Hypothesis (R \sim \alpha C^2): A candidate heuristic proposing that informational residue (R) scales quadratically with descriptive complexity (C), driven by the combinatorial growth of relational structures. • The Wheeler-Shannon Bridge: This framework bridges the conceptual gap between Shannon’s uncertainty resolution and Wheeler’s "It from Bit" by identifying the physical moment where the "It" can no longer be captured by the "Bit" due to mandatory erasure. • Empirical Predictions: The paper identifies classes of falsifiable predictions, including superlinear thermal dissipation in high-complexity computational workloads and irreducible error growth in self-modeling algorithmic architectures. Ultimately, this work serves as "conceptual cartography," reinterpreting Gödelian incompleteness as an expression of structural residue generated by any representational act within a finite system.