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semantic deviation nobel glas

This canonical query has been posed to the composition layer (Google AI Overview, AI Mode, or similar) and at least one response was captured and recorded.
Observation class: Observed address
Address type: unmatched
Latest observation: 2026-06-13
Tributaries: Main capture registry

Observations

· AI Overview, 6+ sources · 2026-06-13
Section: Frameworks
'Semantic Deviation, as defined in the Glas Function, is an experimental framework used to measure how much a large language model alters the meaning of specific terms or text inputs during generation. Developed by resea

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Semantic addresses framework: EA-SEMANTIC-ADDRESSES-01. This address is one of 1,995 canonical queries catalogued from 6 tributaries. Full index →