From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The abstract reports an enterprise-level model and empirical analysis in which AI adoption is associated with deeper global-value-chain integration through productivity, technological innovation, and reduced resource misallocation, while also potentially increasing exposure to value-chain risk.
Scope: enterprise integration into global value chains; dataset universe, observation count, and period not reported in the abstract
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- abstract-level evidence only; full text not inspected
- the abstract does not report the empirical dataset universe, observation count, or period, so no effect magnitude is recorded here
Source independence
ssrn-only