Ontology-Amplified Distillation and Contextuality Auditing for Sovereign Enterprise Language Models: A Combined Proof-of-Mechanism and Negative-Results Method Study
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.11948.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThe paper combines an underpowered proof-of-mechanism test of ontology-amplified distillation, training a Qwen3.6-27B student on a single Apple M5 Max, which matched but did not exceed GPT-5 on 40 Vietnamese financial tasks, with a contextuality-audit method that found zero residual contextuality, indicating direct influence and construct coupling as the useful signals.
Why it mattersReports honest negative results on contextuality-based routing and underpowered distillation, useful for anyone sizing sovereign LLM pilots or designing governance diagnostics for enterprise agent systems.
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