LR grants approval for Navantia’s AI based Digital Twin framework | LR

Document Metadata

Issuer: Navantia
Document Type: Assurance Report
Publication Year: 2026
Retrieved: 8 May 2026
Source: Contact XFID for Access
Record ID: XFVYGQRTEB
Validation: Inferred by XFID

Verification

XFIDs are content-addressed: these SHA-256 fingerprints let anyone confirm a copy of this document is identical to what XFID retrieved on 8 May 2026 — independent of this registry.

SHA-256 (file bytes): 5a939a46a2ce8922a61cb74d458e225b5b017d665233944d17d4f517b01b6d9f
SHA-256 (canonical content): 9082c01889f5131aae6bcda4bb093f0a8b67cba7fbbe26fa33712fe8f44f09f0
File: 410 KB

The canonical-content hash survives re-downloads, URL moves, and byte-level re-encodes: the same disclosure text always resolves to this XFID.

Version History

Retrieved	Action	Size
08/05/2026	`INITIAL`	410 KB	latest

How to Cite This Record

Use the XFID in citations to create a stable, permanent reference that resolves to this registry entry regardless of the source URL.

Academic / report citation

Navantia (2026). LR grants approval for Navantia’s AI based Digital Twin framework | LR. XFID: XF-VYGQRTE-B. Retrieved from https://xframework.id/XFVYGQRTEB

Identifier only

XF-VYGQRTE-B