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XF-4K79FP6-G
Research / Academic Paper ACTIVE

Green Bond Index Prediction Based on CEEMDAN-LSTM

Document Metadata

Issuer
Frontiers in Energy Research
Document Type
Research / Academic Paper
Publication Year
2022
Retrieved
26 May 2026
Source
doi.org
Record ID
XF4K79FP6G
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 26 May 2026 — independent of this registry.

SHA-256 (file bytes)
717fbd0792ad895fa530c2b6ca93995861b3bc157ed3e644b5c8a1ad6a2cd357
SHA-256 (canonical content)
10eac482e3307daa5b633cca3524fc5e22aab3d29cbf5418b1f9b4c0286d00a8
File
2298 KB

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

Issuers Discussed

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Cites (1)

Works cited in this paper's bibliography that are themselves in the XFID registry.

Version History

Retrieved Action Size
26/05/2026 INITIAL 2298 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
Frontiers in Energy Research (2022). Green Bond Index Prediction Based on CEEMDAN-LSTM. XFID: XF-4K79FP6-G. Retrieved from https://xframework.id/XF4K79FP6G
Identifier only
XF-4K79FP6-G