Semantic Stability Engineering - Field Definition Paper (Canon Edition)
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Description
This Field Definition Paper formally establishes Semantic Stability Engineering (SSE) as an independent scientific discipline. SSE investigates the internal, time-dependent
meaning structures of adaptive computational systems. It introduces the ontological status of semantic states, distinguishes interpretive drift from statistical concept drift,
defines the transition and stability operators of SSE, and presents the field’s formal axioms, non-subsumption clauses, drift classes, boundary criteria, and epistemic basis.
This document provides the canonical foundations and normative framework for all subsequent theoretical, empirical and architectural research within SSE.
Semantic Stability Engineering
Meaning Evolution
Interpretive Drift
Semantic State
Semantic Stability
Transition Operator
Coherence Window
Stability Criterion
Auditability
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Field_Definition_Paper__en_.pdf
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Dates
- Created
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2025-04-01Initial formal release of the SnapOS audit model and semantic traceability framework (version 1.0).
References
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- Gödel, K. (1931). Über formal unentscheidbare Sätze der Principia Mathematica. Monatshefte für Mathematik und Physik, 38, 173–198. https://doi.org/10.1007/BF01700692
- Floridi, L. (2011). The Philosophy of Information. Oxford University Press. ISBN: 9780199232383
- Souly, A. et al. (2025). Poisoning Attacks on LLMs Require a Near-Constant Number of Samples. Alan Turing Institute / Anthropic / UK AI Security Institute. arXiv:2508.03114.
- Bowen, D. et al. (2024). Data Poisoning in LLMs: Jailbreak-Tuning and Scaling Laws. arXiv:2408.02946.