Pre-Semantic Type Validation Layer (TVL) for Automated Consistency Guarantees (ACG)

This white paper presents the Type Validation Layer (TVL), a formal and implementable mechanism that guards the pre-formal layer (PFL) of reasoning systems to achieve Automated Pre-Semantic Consistency Guarantees (ACG). By validating the syntactic and categorical structure of expressions before semantic interpretation, TVL prevents self-referential and cross-level paradoxes (e.g., Liar, Curry, Yablo) at construction time rather than at truth-evaluation time. The guarantees are relative to TVL-admissible constructions and do not constitute self-consistency proofs of sufficiently strong systems, in accordance with Gödel’s incompleteness theorem. This approach bridges classical proof theory with AI safety engineering by embedding type and level constraints directly into the reasoning pipeline. Keywords : logical consistency; type theory; pre-formal layer; AI safety; formal verification; symbolic reasoning; hybrid neural-symbolic systems; automated reasoning; self-reference; paradox resolution; dynamic stratification; type validation; automated consistency guarantees; proof theory; semantic grounding; logical firewall; LLM safety; epistemic verification; model alignment; verification pipeline

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17347150
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
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article

Pre-Semantic Type Validation Layer (TVL) for Automated Consistency Guarantees (ACG)

Zenodo (CERN European Organization for Nuclear Research)
Logic, Reasoning, and Knowledge
article

Pre-Semantic Type Validation Layer (TVL) for Automated Consistency Guarantees (ACG)

article en

Abstract

This white paper presents the Type Validation Layer (TVL), a formal and implementable mechanism that guards the pre-formal layer (PFL) of reasoning systems to achieve Automated Pre-Semantic Consistency Guarantees (ACG). By validating the syntactic and categorical structure of expressions before semantic interpretation, TVL prevents self-referential and cross-level paradoxes (e.g., Liar, Curry, Yablo) at construction time rather than at truth-evaluation time. The guarantees are relative to TVL-admissible constructions and do not constitute self-consistency proofs of sufficiently strong systems, in accordance with Gödel’s incompleteness theorem. This approach bridges classical proof theory with AI safety engineering by embedding type and level constraints directly into the reasoning pipeline. Keywords : logical consistency; type theory; pre-formal layer; AI safety; formal verification; symbolic reasoning; hybrid neural-symbolic systems; automated reasoning; self-reference; paradox resolution; dynamic stratification; type validation; automated consistency guarantees; proof theory; semantic grounding; logical firewall; LLM safety; epistemic verification; model alignment; verification pipeline

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 24%
Logic, Reasoning, and Knowledge
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