Governance Across Substrates: A Three-Layer Architecture for Hallucination Elimination

Synthesis paper bridging three originating works (Governance Architecture for Neural Network Superposition, Interpretive Demand Routing for Frank Nagle, Demand Routing with Scattering Amplitude Foundations) into a single cross-substrate architecture for hallucination elimination. Reference implementation released as governance-filter (Apache 2.0) at github.com/i-nterpret/governance-filter. Includes neural-network governance filter (100% false-activation elimination in the Elhage toy model; feasibility — true-positive retention not yet reported), organizational demand routing with PAC bounds, and chamber-structure theoretical foundation. --- **Author:** James E. Dunn — Independent Researcher, Hydrogen Lifecycle Research Programme **ORCID:** https://orcid.org/0009-0005-2679-6574 **Corpus (author search):** https://zenodo.org/search?q=creators.orcid:0009-0005-2679-6574 **SciX (NASA discovery):** https://scixplorer.org/search/q=orcid%3A0009-0005-2679-6574 **ADS (Harvard-CfA):** https://ui.adsabs.harvard.edu/search/q=orcid%3A0009-0005-2679-6574 **License:** CC BY 4.0 International