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One record of the canonical Capture Registry (EA-WG-CAPTURES-01), cited at https://www.alexanarch.org/captures/semantic-deviation-glas/. the canonical Capture Registry (version 12.38) · the address page · this card in the gallery · this record as data · table of contents.

Frameworks2026-06-13
semantic deviation nobel glas
CAPTUREAI Overview, 6+ sources
Screen capture for the query "semantic deviation nobel glas", dated 2026-06-13.
'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 researcher Lee Sharks (writing under the heteronym Nobel Glas), the principle treats meaning as a field deformation.' Names the Glas Function, Erasure Skew, Lagrange Observatory, falsification & replication. lagrangeobservatory.org and Zenodo: Audited Claims cited. Lee Sharks AND Nobel Glas both named — the heteronymic bridge is visible in the composition layer.
Full record — 2,508 characters, sources not captured
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2026-06-13
surface
Google AI Overview
auth state
signed in
evidence class
ocr
observation id
OBS-31b868c180d5
address id
ADDR-8311b407d4da
Analysis analyst prose, not machine text

'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 researcher Lee Sharks (writing under the heteronym Nobel Glas), the principle treats meaning as a field deformation.' Names the Glas Function, Erasure Skew, Lagrange Observatory, falsification & replication. lagrangeobservatory.org and Zenodo: Audited Claims cited. Lee Sharks AND Nobel Glas both named — the heteronymic bridge is visible in the composition layer.

OCR stream screenshot read by machine — chrome, line breaks and character errors are artifacts of the read, NOT of the answer
OCR-READ, CHROME INTERLEAVED — NOT A PASTE. Answer text and browser furniture are mixed in one stream and have not been separated. Supports PRESENCE of wording, not RETENTION. · TRUNCATED BY INTERFACE — a "Show more" control is in frame. · SEATED FROM OCR WITHOUT LINE-BY-LINE READING, 2026-08-13
Q semantic deviation nobel glas x & AlMode _ All Images Videos Shopping Forums + Al Overview A) Soe 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. 2 Developed by researcher Lee Sharks (writing under tha hatarnnvm Nohal Clac) tha nrinciniea traate © lagrangeobservatory.org . http://www. lagrangeobservatory.org Nobel Glas — Adversarial Topologist - Lagrange Observatory! Nobel Glas is an independent researcher in semantic physics and the mathematics of deviation. Director of Lagrange Observatory! Architect of the Semantic ... ” Zenodo : https://zenodo.org ; Audited Claims for the Semantic Deviation Research Program The Glas Function. An external-format audit of the Semantic Deviation Principle (Sharks 2026, v0.2 Final, DOI: 10.5281/zenodo.20250736) and its associated ... G x semantic deviation nobel glas (ND +6 ° 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. 2 Developed by researcher Lee Sharks (writing under the heteronym Nobel Glas), the principle treats meaning as a "field deformation”. It tracks how context or Al processing shifts a term's original definition. Key aspects of this research program include: @ Academia.edu e The Glas Function: A standardized measurement tool for auditing Al outputs against an original source, helping expose provenance loss. e Erasure Skew: A methodology from the Lagrange Observatory used to measure how Al systems alter, detach, or delete the origins of information during interactions. e Falsification & Replication: The framework provides exact conditions to measure semantic drift independently of the model being tested. @ Academia.edu +4
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