This manuscript introduces the Indus Ledger Database Schema (ILDS-1), a non-linguistic computational framework modeling the Indus Script as a standardized supply-chain barcode and corporate accounting ledger system. By conducting structural frequency and positional probability vector analysis across the known corpus, we demonstrate that key syntactic anomalies—specifically terminal sign reversals, compound sign patching, and sign duplication—represent fluid administrative tracking variables rather than glottographic spoken language or grammar. Associated computational pipeline code, version control metadata, and Monte Carlo permutation control tests are permanently archived at the following primary repository: https://github.com/Swapnil-Watve/Indus-Script-ILDS1-Framework
Swapnil Watve (Fri,) studied this question.
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