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Grounded Inference: Principles for Deterministically Encapsulated Generative Models

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arXiv:2606. 19753v1 Announce Type: new Abstract: The incorporation of generative models into traditional computational systems presents both enormous opportunity and tremendous peril.

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Authors: Marty O'Neill
Released: 2026-06-20 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Grounded Inference: Principles for Deterministically Encapsulated Generative Models overlaps with experiment "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: model. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.19753

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