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Paper Citation Record · LEDGER

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model

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.

pith.paper-citation-record.v1
2502.00783 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:49:58.344010Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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  • unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c4ba442-18a9-4191-8478-bfc3fe38e762 · outbound

This paper cites an unresolved cited work.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work

Reference 1

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This paper cites &Chirici, G.(2019).Species distributionmodelling tosupportforest management.A literaturereview.EcologicalModelling,411,108817.

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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Observation 6fa76d69-64d9-467d-a0ae-49d11c564d8a · outbound

This paper cites M., Paolucci, L., Ummenhofer, C.

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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This paper cites J., Field, C.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model J., Field, C

Reference 5

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work

Reference 6

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Observation a71abe60-1bc5-4428-bd9f-ca7db28039c7 · outbound

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work

Reference 7

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work

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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Observation 880bb287-aa7f-4406-a214-a3567abe8af8 · outbound

This paper cites A., Reed, Z.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model A., Reed, Z

Reference 12

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This paper cites S., Mendelova, M.,.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model S., Mendelova, M.,

Reference 13

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This paper cites P., Cheng, Z., & Guo, L.

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

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Observation 784a53ba-8574-4708-8115-e439bdd05403 · outbound

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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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Reference 18

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model A., & Duchesne, R

Reference 20

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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 & Bengio, Y

Reference 24

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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 Denoising Diffusion Implicit Models

Reference 28

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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

Reference 34

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model & Zhang, B

Reference 35

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A method for estimating forest carbon storage distribution density via artificial intelligence generated content model S., Brousse, O., Esau, I., & Meier, F

Reference 36

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Observation 31ac3172-174e-4214-ba38-bec3da17e2c6 · outbound

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 412edcfb-a66d-44ec-981c-b665aec92c4b · outbound

This paper cites an unresolved cited work.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:49:58.706711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f3c4f5a1-72fa-4e1f-b0ef-31d8fa679a22 · outbound

This paper cites & Yang, M.

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model & Yang, M

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T17:49:58.344010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.