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News/Ontology-Amplified Distillation and Contextuality Auditing for Sovereign Enterprise Language Models: A Combined Proof-of-Mechanism and Negative-Results Method Study
arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral

Ontology-Amplified Distillation and Contextuality Auditing for Sovereign Enterprise Language Models: A Combined Proof-of-Mechanism and Negative-Results Method Study

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2607.11948v1 Announce Type: cross Abstract: Regulated financial institutions operating under data-residency rules need tenant-owned language models that can run inside the institution's perimeter. This paper combines two related FAOS studies into one mechanism-and-control article. First, it re

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Discussion
Mentioned models
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  • 01
    Qwen3.6-27B
  • 02
    GPT-5
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#ontology#distillation#enterprise#multiagent
Mentioned companies
01
Apple

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Mentioned models
02
  • 01
    Qwen3.6-27B
  • 02
    GPT-5
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#ontology#distillation#enterprise#multiagent
Mentioned companies
01
Apple

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