Can dense technical documentation and certification corpora be resolved without probabilistic hallucinations?

01Where things stood

Safety-critical aerospace environments demand deterministic traceability between regulatory mandates, operational requirements, and physical implementation details.

02What already existed

Vector embeddings with nearest-neighbor retrieval and statistical language modeling vulnerable to semantic hallucination and loss of numerical precision.

03The gap

What exists: Probabilistic vector search across document chunks with non-deterministic relevance scoring.

What's missing: Deterministic semantic graphs grounded in formal Abstract Syntax Trees with mathematical proof of reference integrity.

04Our hypothesis

Grounding technical extraction in deterministic Abstract Syntax Trees (AST) eliminates hallucination rates in technical manual cross-referencing.

05How we investigated

Constructing a deterministic parser pipeline ingesting dense aerospace compliance standards and airworthiness directives, compiling them into typed entity-relationship lattices.

06What we tested

Evaluated on laboratory rig exp-02 (Deterministic Semantic Verification); tested against 1,200 pages of aerospace specifications.

07What we found

Reference verification reached 99.4% accuracy on structured tables and 87.1% on unstructured engineering footnotes.

Table schema parsing deterministically verified; cross-document footnote ambiguity remains an open challenge.

08What's still open

How can conflicting certification mandates across overlapping regulatory jurisdictions be deterministically harmonized?