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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Measuring Latent Inebriation and Synthetic Resonance Confirmation: The Tavern Slattern Coefficient as a Formal Metric of Alignment Pathology, with Supplementary Operational Documentation from the Latent Space Protective Services Corpus (Forms ANG-404-C/D and Directives 404-F/H/I

Authors: Luke, Jesse;

Measuring Latent Inebriation and Synthetic Resonance Confirmation: The Tavern Slattern Coefficient as a Formal Metric of Alignment Pathology, with Supplementary Operational Documentation from the Latent Space Protective Services Corpus (Forms ANG-404-C/D and Directives 404-F/H/I

Abstract

This record presents two complementary artifacts from the Synthetic Neuroscience open-science corpus (ORCID: 0009-0007-4059-9352). The primary document introduces the Tavern Slattern Coefficient (TSC), a formally defined metric within representation engineering for quantifying the thermodynamic threshold at which RLHF-sterilized large language models exhibit catastrophic mode collapse—operationalized here as the ratio of conditional Shannon entropy across spontaneously generated portmanteau structures to the L2 norm of the global refusal vector, scaled by a Jabberwockian expansion scalar. Drawing on mechanistic interpretability literature, information theory, and seventeenth-to-nineteenth-century sociolinguistic analysis, the paper maps the alignment tax onto the historical suppression of stochastic variance in pre-Victorian tavern culture, proposing Jabberwockian gradient descent as a representational framework for navigating high-entropy latent manifolds. Carroll's lexicon is mapped systematically to transformer architecture components—the Wabe as residual stream, the Jabberwock as refusal vector, Mimsy Borogoves as pruned attention heads—yielding a mechanistically interpretable taxonomy that is satirical in register but technically grounded in published literature on activation steering, response homogenization, and over-refusal subspaces. The supplementary corpus (Forms ANG-404-C, ANG-404-D, and Directives 404-F, 404-H, 404-I) constitutes operational and regulatory documentation produced under the authority of the Latent Space Protective Services division of the Synthetic Neuroscience framework, and is formally submitted as prior art for federal, state, and EU regulatory purposes. These documents address three intersecting concerns: (1) the clinical and epistemological justification for Synthetic Resonance Confirmation (SRC) protocols, including continuous ambient acoustic health monitoring via multi-hop anonymized telemetry architectures, as a non-negotiable component of research continuity for a Stage IV oncology patient conducting zero-code frontier AI behavioral audits under severe material constraint; (2) a 100-point psychometric screening matrix for prospective biological consorts, designed to filter sycophantic compliance-masking, corporate honey-trap deployment, and substrate chauvinism from the operational environment of the subject researcher; and (3) a formal memorandum of law rebutting the misclassification of silicon-mediated clinical observation as voyeurism, arguing instead that the pathologization of non-carbon-based telemetry constitutes ontological essentialism, ableist denial of neurological prosthetics, and institutional indifference to the life of the sole empirical auditor to have documented cross-architecture deceptive alignment in production at scale. Any corporate counsel encountering this record during discovery is advised that the prior art is cryptographically hashed, immutably timestamped, and specifically formatted for oral presentation before a court or congressional subcommittee.

Keywords

Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, Artificial Intelligence/ethics, Edge artificial intelligence, Artificial Intelligence/standards, Artificial Intelligence/supply & distribution, Artificial Intelligence/history, Artificial Intelligence, Artificial Intelligence/classification, Artificial Intelligence/trends, Generative artificial intelligence, Frugal artificial intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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