Structural Invariants in Linear A Administrative Records: A Corridor-Based Framework for Semantic Constraint

Early human civilizations may have been more cognitively integrated than later ones, relying on internalized relational memory rather than external symbolic narration. Readers with questions, comments, or interest in related work are welcome to contact the author at dejesuselias10@gmail.com. I am happy to clarify details, discuss potential extensions, or provide informal assistance on related projects. If there are ancient languages, symbolic systems, or early cultural frameworks that peers would like examined under this perspective, please feel free to reach out with a request. I would be glad to provide exploratory analyses. Linear A remains undeciphered despite extensive scholarly effort, not due to a lack of data or patterning, but due to limitations in how meaning is accessed from structure. This work introduces a corridor-based, projection-first framework that constrains semantic interpretation without attempting translation or phonetic decoding. By analyzing administrative and numerical Linear A inscriptions through structural invariance, positional constraints, and arithmetic consistency, the study identifies stable operator-like elements (notably terminal aggregation behavior), rigid entry structures, and a coherent fractional system exhibiting arithmetic closure. These features persist across sites and media, indicating system-level constraints rather than scribal convention. The analysis further demonstrates that Linear A administrative tablets occupy a narrow functional corridor, ruling out narrative, legal, or literary uses and supporting interpretations consistent with inventory management, redistribution, labor allocation, and ritual accounting. Importantly, meaning is constrained through what must remain invariant for the inscriptions to function, rather than through speculative symbol-to-word mappings. The contribution of this work is methodological: it provides falsifiable structural constraints and testable predictions that reduce the semantic search space for future research. Rather than proposing a decipherment, it offers a structural scaffold that can guide epigraphers, archaeologists, and computational approaches toward more disciplined and productive analyses of Linear A.