Quantum LDPC memories can store multiple logical qubits, but their usability relies on explicit conjugate logical operators with structured labels and physical representatives. Researchers have made progress in addressing this issue for hypergraph-product (HGP) codes, where the input matrices are binary and can be simplified using row reduction over the finite field $\mathbb{F}_2$. However, Abelian lifted-product codes pose a greater challenge due to their subtle structure. A new approach, termed logical spectroscopy, has been proposed to tackle this problem by introducing addressable bases for lifted-product codes1. This development enables the creation of explicit conjugate logical operators, making these codes more viable for practical applications. The ability to encode and manipulate quantum information efficiently is crucial for the development of reliable quantum computing systems, so the advancement of logical spectroscopy matters because it brings quantum LDPC memories closer to being usable in real-world scenarios.