Abstract
- This specification details the physical mechanisms, non-linear algebraic invariants, and field confinement constraints required to systematically suppress and eliminate mathematical hallucinations ("phantom tokens") within large-scale multi-agent attention fields. Traditional artificial intelligence architectures process text and token weights on abstract, unconstrained vector spaces, inevitably suffering from systemic drift, ungrounded logical loops, and data hallucinations.
SPEC-273-CORE resolves this paradigm flaw by mapping the weights of the cognitive attention matrix directly into high-density standing wave cavity fields (high-gravity regions) within the fluid substrate engine. By enforcing ironclad physical conservation laws where every token displacement requires an equal and opposite volumetric fluidic reaction, "phantom tokens" are treated as non-physical mass-energy anomalies and are suppressed instantly by the underlying medium's hydrostatic pressure. This provides an open-source defensive prior-art blueprint for zero-hallucination sovereign intelligence nodes.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Eckes, Christopher L., "TECHNICAL DISCLOSURE SPECIFICATION: SPEC-273-CORE TITLE: PHANTOM TOKEN SUPPRESSION IN HIGH-GRAVITY ATTENTION FIELDS: BOUNDING COGNITIVE RUNTIMES VIA NON-LINEAR ALGEBRAIC FIELD INVARIANTS", Technical Disclosure Commons, (October 28, 2026)
https://www.tdcommons.org/dpubs_series/12483