Stemma: Induced Decision Regions Reveal LLM Provenance
LLM provenance testing asks whether a suspect LLM belongs to the same lineage as a source. Existing black-box methods largely infer this relationship from response-level characteristics, but these characteristics may shift under adaptation or deployment even when the underlying meaning remains unchanged, weakening the reliability of provenance evidence. To address this limitation, we introduce induced decision regions by mapping open-ended outputs into a finite decision space, thereby abstracting away surface-form variation and reframing provenance testing as measuring the inheritance of decision regions. Empirical analysis shows that the source's induced regions are preserved more strong...
| Authors | Keyu Zhang, Vadim Safronov, Andrew Martin |
|---|---|
| Primary category | cs.CR |
| Published | 28 July 2026 |
| Last updated at source | 28 July 2026 |
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