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Constraint Poisoning and Parametric Memory Override: A Failure Taxonomy and Intervention Architecture for LLM-Assisted Philological Editing of Historical Texts

2026-06-10

Abstract excerpt

Large Language Models (LLMs) are increasingly deployed for editorial and text-processing tasks, yet their application to high-stakes domain editing exposes a class of failures distinct from hallucination. Where hallucination involves a model generating false information, constraint-adherence failure involves a model ignoring or overriding explicit user constraints in favour of its parametrically weighted training...

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Literature Corpus work
f61464eb-e945-5d79-88d6-e95cf82b6c63
DOI
10.20944/preprints202606.0820.v1
Open publication

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Constraint Poisoning and Parametric Memory Override: A Failure Taxonomy and Intervention Architecture for LLM-Assisted Philological Editing of Historical TextsDOI 10.20944/preprints202606.0820.v1
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