ARCHANGEL: Trusted Archives of Digital Public Documents
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Abstract (arXiv)
We present ARCHANGEL; a de-centralised platform for ensuring the long-term integrity of digital documents stored within public archives. Document integrity is fundamental to public trust in archives. Yet currently that trust is built upon institutional reputation --- trust at face value in a centralised authority, like a national government archive or University. ARCHANGEL proposes a shift to a technological underscoring of that trust, using distributed ledger technology (DLT) to cryptographically guarantee the provenance, immutability and so the integrity of archived documents. We describe the ARCHANGEL architecture, and report on a prototype of that architecture build over the Ethereum infrastructure. We report early evaluation and feedback of ARCHANGEL from stakeholders in the research data archives space.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Apr 2018.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 2.
7 papers.
- 2021OSCAR-Net: Object-centric Scene Graph Attention for Image Attributioncited by 15
- 2021VPN: Video Provenance Network for Robust Content Attributioncited by 7
- 2023DECORAIT -- DECentralized Opt-in/out Registry for AI Trainingcited by 7
- 2023VADER: Video Alignment Differencing and Retrievalcited by 6
- 2022SImProv: Scalable Image Provenance Framework for Robust Content Attributioncited by 1
- 2026Soft Redaction of Image Provenance via Zero-Knowledge Proofscited by 0
- 2026Signpost Watermarking: Joint Optimization for Visual Watermark Coexistencecited by 0
- 2026Signpost Watermarking: Joint Optimization for Visual Watermark Coexistence10 Aug 2026
- 2026Soft Redaction of Image Provenance via Zero-Knowledge Proofs7 Aug 2026
- 2023DECORAIT -- DECentralized Opt-in/out Registry for AI Training25 Sep 2023
- 2023VADER: Video Alignment Differencing and Retrieval23 Mar 2023
- 2022SImProv: Scalable Image Provenance Framework for Robust Content Attribution28 Jun 2022
- 2021VPN: Video Provenance Network for Robust Content Attribution21 Sep 2021
- 2021OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution7 Aug 2021