Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:49:58.344010Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.00783.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:49:58.344010Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1c4ba442-18a9-4191-8478-bfc3fe38e762 · outbound
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 1
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model &Chirici, G.(2019).Species distributionmodelling tosupportforest management.A literaturereview.EcologicalModelling,411,108817
Reference 2
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model M., Paolucci, L., Ummenhofer, C
Reference 3
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 4
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Reference 5
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Reference 6
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Reference 8
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 9
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 10
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 11
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Reference 12
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model S., Mendelova, M.,
Reference 13
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model P., Cheng, Z., & Guo, L
Reference 14
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Reference 16
Source-reported events for the cited work
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 17
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 18
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Observation 12b7bd5e-f4c8-4b0c-8c6c-af00ea050d53 · outbound
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 8919483c-e6bc-47de-b1fc-8b8f448c3fbc · outbound
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model A., & Duchesne, R
Reference 20
Source-reported events for the cited work
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 21
Source-reported events for the cited work
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model R., Maghsodi, Z., Mousavi, S
Reference 22
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 23
Source-reported events for the cited work
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Auto-Encoding Variational Bayes
Reference 25
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 26
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Reference 27
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Denoising Diffusion Implicit Models
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 29
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 30
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 31
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Observation 17fac93f-66a5-499a-8848-24d5ba9ac167 · outbound
A method for estimating forest carbon storage distribution density via artificial intelligence generated content model A high-resolution canopy height model of the Earth
Reference 32
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Y., & Gurari, D
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Reference 37
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 38
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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work
Reference 39
Source-reported events for the cited work
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Reference 40
Source-reported events for the cited work
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No inbound Pith citation observations are available.