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Paper Citation Record · LEDGER

Above-ground Biomass Estimation with Geospatial Foundation Models

As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2608.04792.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.04792 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:35:22.079363Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

88 of 88 outbound references displayed

  • verified exact14
  • verified fuzzy41
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da315746-3095-46af-a70a-fc4798249658 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 04a921da-159c-4704-8ef6-800a96fa26aa · outbound

This paper cites FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation , url =.

Above-ground Biomass Estimation with Geospatial Foundation Models FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation , url =

Reference 2

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Observation 7bf0f2d1-9905-4dbd-9d3a-2fcd7018b3b4 · outbound

This paper cites 2024 , eprint=.

Above-ground Biomass Estimation with Geospatial Foundation Models 2024 , eprint=

Reference 3

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Observation b93eaa33-29b6-460c-b949-1235c77ac7fe · outbound

This paper cites and Schindler, Konrad , title =.

Above-ground Biomass Estimation with Geospatial Foundation Models and Schindler, Konrad , title =

Reference 4

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Observation df445867-505c-4ae4-8c25-ecdfea6b94a2 · outbound

This paper cites 2024 , eprint=.

Above-ground Biomass Estimation with Geospatial Foundation Models 2024 , eprint=

Reference 5

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Observation 39c19d73-1042-4068-bfbb-843970c77579 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Above-ground Biomass Estimation with Geospatial Foundation Models On the Opportunities and Risks of Foundation Models

Reference 6

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Observation 948cd988-a088-4a0b-861e-dfe16d13b670 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

Above-ground Biomass Estimation with Geospatial Foundation Models Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 7

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Source-reported events for the cited work

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Observation 07b93a0f-d461-418f-bb21-bfc78fa2de10 · outbound

This paper cites and Gupta, Ritwik and Li, Shufan and others , title =.

Above-ground Biomass Estimation with Geospatial Foundation Models and Gupta, Ritwik and Li, Shufan and others , title =

Reference 8

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Observation dca11b95-e89d-44e1-a395-86ee1ff0ac16 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 9

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Observation b5928680-e3c2-454d-a2dd-8177762b0b3d · outbound

This paper cites arXiv preprint arXiv:2403.15356 , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models arXiv preprint arXiv:2403.15356 , year =

Reference 10

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Observation 4e18f159-6b73-445c-b006-dd90e78b7099 · outbound

This paper cites , title =.

Above-ground Biomass Estimation with Geospatial Foundation Models , title =

Reference 11

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Observation e9facac8-57d4-4ef2-a4fa-e6718abe2ed4 · outbound

This paper cites IEEE Trans.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE Trans

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 67f5302f-d45a-4eb4-b47e-006d755f8d86 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3c7df607-b13b-44d4-ae54-8283146b80a4 · outbound

This paper cites AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data.

Above-ground Biomass Estimation with Geospatial Foundation Models AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Reference 14

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Observation ea8079d5-faf3-4be8-ab5e-3779729f1bc8 · outbound

This paper cites , title =.

Above-ground Biomass Estimation with Geospatial Foundation Models , title =

Reference 15

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verified fuzzy
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Source-reported events for the cited work

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Observation 97da9761-0f41-4660-aadf-ddf0e8847361 · outbound

This paper cites Towards Geospatial Foundation Models via Continual Pretraining , booktitle = ICCV, pages =.

Above-ground Biomass Estimation with Geospatial Foundation Models Towards Geospatial Foundation Models via Continual Pretraining , booktitle = ICCV, pages =

Reference 16

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b4ff99db-ea1e-4f3e-85fb-b6ad8119da7e · outbound

This paper cites IEEE/CVF International Conference on Computer Vision (ICCV) , year=.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE/CVF International Conference on Computer Vision (ICCV) , year=

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 61165244-2665-4ab9-9038-92ac66dd365c · outbound

This paper cites 2024 , eprint =.

Above-ground Biomass Estimation with Geospatial Foundation Models 2024 , eprint =

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6aba169e-bd9c-4bd5-813f-2bbbe6748f9e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Above-ground Biomass Estimation with Geospatial Foundation Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 19

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Observation 5235595e-4bfb-48f0-acf8-c94fd8d8943c · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

Above-ground Biomass Estimation with Geospatial Foundation Models Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 20

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Observation bf04385e-f707-4b9e-8cc2-5ea9fd6d6ce7 · outbound

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Above-ground Biomass Estimation with Geospatial Foundation Models 2026 , eprint=

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f4737f39-225a-4590-a6ee-c89da7ad69ee · outbound

This paper cites 2025 , eprint=.

Above-ground Biomass Estimation with Geospatial Foundation Models 2025 , eprint=

Reference 22

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verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f5d6cd22-74e8-4cd8-b36c-3cd4676ea03f · outbound

This paper cites 2024 , eprint=.

Above-ground Biomass Estimation with Geospatial Foundation Models 2024 , eprint=

Reference 23

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verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2b88bc36-d9f8-492f-8a72-3d499f5e0e01 · outbound

This paper cites FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring.

Above-ground Biomass Estimation with Geospatial Foundation Models FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring

Reference 24

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Observation 36f8ddc7-cbce-413e-a5a3-c9b41920782f · outbound

This paper cites NeurIPS , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models NeurIPS , year =

Reference 25

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verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e434f91b-807e-4705-8049-3778ee40c446 · outbound

This paper cites Thirty-fifth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track (Round 2) , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models Thirty-fifth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track (Round 2) , year =

Reference 26

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d91423da-d112-465b-b22f-930f3ed7f502 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 27

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verified exact
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b4c45de7-c706-4dca-9288-b3f2caa70c14 · outbound

This paper cites 2025 , copyright =.

Above-ground Biomass Estimation with Geospatial Foundation Models 2025 , copyright =

Reference 28

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verified exact
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a4c2f1ad-b18b-41ed-9974-fa00db724b48 · outbound

This paper cites Saatchi and L.

Above-ground Biomass Estimation with Geospatial Foundation Models Saatchi and L

Reference 29

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verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0080969a-6910-4ce4-8edc-8a9cd028f7a0 · outbound

This paper cites and Armston, J.

Above-ground Biomass Estimation with Geospatial Foundation Models and Armston, J

Reference 30

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verified exact
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 40d44a89-f174-420f-89c0-dd0335f0474d · outbound

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Above-ground Biomass Estimation with Geospatial Foundation Models doi:10.5067/D2E2L5GK7ER3 , url =

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e846c1e1-fd28-4a5b-82ff-a198cc515952 · outbound

This paper cites and Armston, J.

Above-ground Biomass Estimation with Geospatial Foundation Models and Armston, J

Reference 32

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e870c266-99b3-44d8-8795-934ed0184d97 · outbound

This paper cites and Smith, Benjamin and Yang, Yuekui and Zwally, Jay , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models and Smith, Benjamin and Yang, Yuekui and Zwally, Jay , year =

Reference 33

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verified exact
doi, observed 2026-08-06T16:35:23.751474Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:17.763309Z digest=sha256:09a7df6e1c240b0f8633beb2f3e86cbdf9cbe6bc27b824b8bec6022fa9c2ed54

Observation 3b881f06-845f-411e-8728-958207895502 · outbound

This paper cites and Nieusma, Jordan M.

Above-ground Biomass Estimation with Geospatial Foundation Models and Nieusma, Jordan M

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef33885e-7efc-4178-8285-66c63f8b480b · outbound

This paper cites and Ganguly, Auroop R.

Above-ground Biomass Estimation with Geospatial Foundation Models and Ganguly, Auroop R

Reference 35

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doi, observed 2026-08-06T16:35:23.571546Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:17.877289Z digest=sha256:300251de36766088d8a9ced0be40290faba3a3e939e04ac51c7f22390cbe629b

Observation ad6fb3fb-d25a-49d2-87fa-51322f9f5384 · outbound

This paper cites How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models.

Above-ground Biomass Estimation with Geospatial Foundation Models How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models

Reference 36

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local_arxiv, observed 2026-08-06T16:35:23.317784Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ac8d531e-db20-4ca6-bc99-0840254fa45d · outbound

This paper cites Hide and Seek: Investigating Redundancy in Earth Observation Imagery , publisher =.

Above-ground Biomass Estimation with Geospatial Foundation Models Hide and Seek: Investigating Redundancy in Earth Observation Imagery , publisher =

Reference 37

Resolution
verified exact
doi, observed 2026-08-06T16:35:23.104139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.004453Z digest=sha256:ebb33ddb21d8c833962cb66ba0a9c9f356fedd0353516f467cd0083e3226cb99

Observation 3e09e002-75af-4e1f-ab39-d277a68638a9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Above-ground Biomass Estimation with Geospatial Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:18.106271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:18.106271Z digest=sha256:9d1ac27a81c440d60f1f8bd187c52498c6e9def446c9a0edfc7a4955d6980fff

Observation 4772b671-18e8-4915-bd8c-8d6089b2218e · outbound

This paper cites and Ishida, H.

Above-ground Biomass Estimation with Geospatial Foundation Models and Ishida, H

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:33.165938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.196255Z digest=sha256:51a3dbf97d37a502715eebaba7c22cfb4bbbb4a4f5ba893c29030bc0b7fc51ce

Observation 32dd69e0-4c2b-467f-95a5-39e187f513b6 · outbound

This paper cites Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe , publisher =.

Above-ground Biomass Estimation with Geospatial Foundation Models Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe , publisher =

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:18.236139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:18.236139Z digest=sha256:5813d8a6412dba0f1767152dd308e636ef8a5e3ef1d4b93067a912ee4a6ca8c3

Observation 30788d03-7757-4dbc-895e-1023b6226c23 · outbound

This paper cites AAAI , year=.

Above-ground Biomass Estimation with Geospatial Foundation Models AAAI , year=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:18.321323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:18.321323Z digest=sha256:ad1ae0b524b3044a3d11b036ead16abe7e20678da82aee5e9dd2c972e873c336

Observation 396f31c9-fd56-4de1-8c0b-b47260fcd347 · outbound

This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , month =.

Above-ground Biomass Estimation with Geospatial Foundation Models Proceedings of the European Conference on Computer Vision (ECCV) , month =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:33.044572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.405595Z digest=sha256:e100217620c8902b3d280aad93bd9e56538a1e8e077029186d16a2328883eff7

Observation 2e2050da-aea1-491c-b170-93292d319e04 · outbound

This paper cites and Kommareddy, Anil and Pickens, Amy and Turubanova, Svetlana and Tang, Hao and Silva, Carlos Edibaldo and Armston, John and Dubayah, Ralph and Blair, J.

Above-ground Biomass Estimation with Geospatial Foundation Models and Kommareddy, Anil and Pickens, Amy and Turubanova, Svetlana and Tang, Hao and Silva, Carlos Edibaldo and Armston, John and Dubayah, Ralph and Blair, J

Reference 43

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:26.123791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.471362Z digest=sha256:0db48dcb5c4865d891322c4769bcce5ba98117869d7476ed7dec0ade1a536933

Observation d590128f-7043-4ae4-b167-87ed8f90011e · outbound

This paper cites and Schwartz, Martin and Saatchi, Sassan and Ciais, Philippe and Pokutta, Sebastian and Brandt, Martin and Gieseke, Fabian , keywords =.

Above-ground Biomass Estimation with Geospatial Foundation Models and Schwartz, Martin and Saatchi, Sassan and Ciais, Philippe and Pokutta, Sebastian and Brandt, Martin and Gieseke, Fabian , keywords =

Reference 44

Resolution
verified exact
doi, observed 2026-08-06T16:35:22.835231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.546746Z digest=sha256:e6e2c5c961632e81ac7b9600651c571ff0fb8e1c8926b41a3e2c640d0718a2ed

Observation 0a987f0a-d3cf-4654-98db-84bfc985e95c · outbound

This paper cites 2026 , eprint=.

Above-ground Biomass Estimation with Geospatial Foundation Models 2026 , eprint=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:32.825118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.588196Z digest=sha256:cce711adcf98aa831a3b0f47d5264a3724ef786e9f412db211a3482a0d3335f8

Observation 33968820-910f-4af8-9faa-bc5cbd30556c · outbound

This paper cites OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation , publisher =.

Above-ground Biomass Estimation with Geospatial Foundation Models OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation , publisher =

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:18.673894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:18.673894Z digest=sha256:ed25b872a5c4c16ea310e94d1d0a59e106565fe6f3087a3dd47df62e3ab9c0f6

Observation 8fea937d-7792-44e7-aa03-c5154133af0c · outbound

This paper cites Europe-wide maps of biomass density based on satellite remote sensing data for 2017, 2020, 2021 and 2023 , journal =.

Above-ground Biomass Estimation with Geospatial Foundation Models Europe-wide maps of biomass density based on satellite remote sensing data for 2017, 2020, 2021 and 2023 , journal =

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:25.902004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.771369Z digest=sha256:13725d6ea30c4d7ea6555ffa8264a39a2bea1d23a50406ef637f6016946c7b4e

Observation 6d8c56f8-5442-454f-8d60-154acbd0ed5e · outbound

This paper cites Remote Sensing , VOLUME =.

Above-ground Biomass Estimation with Geospatial Foundation Models Remote Sensing , VOLUME =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:32.625061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.842665Z digest=sha256:b9b5b06b3c702b2ca12a0f3640a8f88415735a066ec3f55db550105908221b6e

Observation fbff4907-c904-4758-abc2-0adc8fd6592f · outbound

This paper cites Assessing temporal trends of forest aboveground biomass density in Japan from 2009 to 2018 under disturbance regimes using multisource remote sensing data , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Assessing temporal trends of forest aboveground biomass density in Japan from 2009 to 2018 under disturbance regimes using multisource remote sensing data , volume =

Reference 49

Resolution
verified exact
doi, observed 2026-08-06T16:35:22.538720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.915929Z digest=sha256:a22d8ba3af4a5d785d1e900d10edc9eea749a98fecd18396656f39f619420d28

Observation 287eb559-6973-4293-accb-de118b15c722 · outbound

This paper cites and Numata, Izaya and Elmore, Andrew J.

Above-ground Biomass Estimation with Geospatial Foundation Models and Numata, Izaya and Elmore, Andrew J

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:18.989599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:18.989599Z digest=sha256:f844f9cadf45be30f50948d55bf4622dcb53e24bcaf3c26706537eb813966d20

Observation ae460b5e-a0a3-4fe9-99c8-fe9cf48456b6 · outbound

This paper cites and Duncanson, Laura I.

Above-ground Biomass Estimation with Geospatial Foundation Models and Duncanson, Laura I

Reference 51

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:25.626817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.084695Z digest=sha256:b742196e184bf013f040d0153b041fe75f155b14d0c0124f62ae41954c3e71d6

Observation 7c518240-7fe1-466e-a4b8-088ae0a7439f · outbound

This paper cites Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Evaluation of GEDI footprint level biomass models in Southern African Savannas using airborne LiDAR and field measurements , volume =

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:19.192957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:19.192957Z digest=sha256:6433de9568ce2bcb2f17bfb7f55de6e78c70239db3820a14cea743da58c60522

Observation 2bddf398-8a73-44e0-a02d-c2b92a9a7844 · outbound

This paper cites Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data , volume =

Reference 53

Resolution
verified exact
doi, observed 2026-08-06T16:35:22.398321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.327088Z digest=sha256:c05ab8be291d78a5312fa3f28aaf8681f8bbedcbfc65f7d06c53c8840f72098c

Observation 1539ce8d-db16-4aff-b8de-89ad32bd8e8d · outbound

This paper cites , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models , year =

Reference 54

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:25.302619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.427753Z digest=sha256:0886a6c2266e97a9c47e4487b1ca22187b60ab8547789f8016de64d2902eb0d5

Observation 1f221265-d3d2-4d4c-9210-d0871980b603 · outbound

This paper cites Nature , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Nature , volume =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:32.379365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.530406Z digest=sha256:45c941cfbd5f963deba5282f18bbd1b67658ca1e692f3ad6f8f8f92d208e4b2f

Observation 33c9c175-c3c5-481e-959d-f5fbe2cfc220 · outbound

This paper cites Forests, biodiversity and people , author =.

Above-ground Biomass Estimation with Geospatial Foundation Models Forests, biodiversity and people , author =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:32.208108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.599610Z digest=sha256:c00e60e548e96f44f41fba157d278047a5cb478f2f2ef6827244a33a3ee16e1d

Observation ce6f3512-55ef-4195-9f76-2b6de7d9d028 · outbound

This paper cites Climate Change 2007: Mitigation.

Above-ground Biomass Estimation with Geospatial Foundation Models Climate Change 2007: Mitigation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:31.996935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.698855Z digest=sha256:765ee47c9e1db092aa8dc7eb83211d802dc1b64e8ffc96a07273ae7c47315327

Observation 3e13d5f2-b340-4044-a310-8abfd63f5412 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:35:31.749816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.780059Z digest=sha256:26bc087945bd6b86df93caf79357a19d6153004bb7d3ff7551732c6a34bbb4bc

Observation 0f067983-0a45-445f-9c27-fa6109f01c7f · outbound

This paper cites Global Change Biology , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Global Change Biology , volume =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:31.519162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.870278Z digest=sha256:939f436516d1516afbdcc232f14812d93d5efcf7e362998fd89090d8980f5470

Observation ceb4e380-a19c-4aa8-9881-ed34cbc2da89 · outbound

This paper cites iForest - Biogeosciences and Forestry , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models iForest - Biogeosciences and Forestry , volume =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:31.319353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.970751Z digest=sha256:284e0ec498b8da2f6e6495ca76d6a1c43d90d2c07b90433d51f0804f41602487

Observation f4a3f617-4e60-4e15-9d1d-d0fcce4b963d · outbound

This paper cites Global Change Biology , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Global Change Biology , volume =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:31.012658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.056385Z digest=sha256:2c11f766bd367e95144449e7860f04a10e48cbb402f6b5c61a3070dc0167e67a

Observation c112ee85-ec28-4299-af51-1987094839b0 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:35:30.808382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.108178Z digest=sha256:cc9fc8c29cc9504e153759cd16571d236ee8d319c56c97f3dae46acaff16f3ed

Observation 2b22d7ad-302b-4647-8135-9dc1cb189f33 · outbound

This paper cites Scandinavian Journal of Forest Research , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Scandinavian Journal of Forest Research , volume =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:30.598140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.210763Z digest=sha256:4181806db0caa74fd7564d0d1777d8af6189924c1214abad982704e5caf662af

Observation a2d46d61-14c0-4ed1-ab03-2abc884c2e92 · outbound

This paper cites Interface Focus , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Interface Focus , volume =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:30.390451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.278832Z digest=sha256:fa93bfab8dd8a882ca32c2b874afa6927b8117b8a4326d54ea9038111297afb0

Observation 8aa53989-5b40-47f0-aa37-9247f3931e8b · outbound

This paper cites Remote Sensing of Environment , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Remote Sensing of Environment , volume =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:30.208579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.378379Z digest=sha256:c7856a1a90f0d25e5a9d69ff8e51188b6774435301f4f412627b2dc5cd9fb554

Observation fc41c900-6d93-46f1-9639-360b1354ce36 · outbound

This paper cites Remote Sensing of Environment , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Remote Sensing of Environment , volume =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:30.024208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.450032Z digest=sha256:ff72a5b715ac85637d0cb817b8c11d391a205ef59de87e295e851acbf4b76cb0

Observation 87044aa9-60d2-439f-9ba8-073f797cb713 · outbound

This paper cites The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , volume =

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:29.762285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.527428Z digest=sha256:c840726a530d4d6142123c6420b270f6da5fc5dd4a2dec5998c374d1bb8f3858

Observation e3a5cf2d-f08a-418a-81c0-b02fc239ebd5 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models ISPRS Journal of Photogrammetry and Remote Sensing , volume =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:29.577262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.586654Z digest=sha256:3b51d585cd4614f29d5857e266832e137f08cb7f7821ad750a1d25005e3e4181

Observation 721382e6-fd80-4352-9bd0-57e9abff2549 · outbound

This paper cites Remote Sensing of Environment , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Remote Sensing of Environment , volume =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:29.363843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.685866Z digest=sha256:61fb9987d6080cbe3ab4da12069fc4ee3e6a8790d89f60bf241eb53daacf1038

Observation c027419c-3b9b-4d85-bdcd-4e59d2c116fa · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE Transactions on Geoscience and Remote Sensing , volume =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:29.223226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.818259Z digest=sha256:36fc3e9dea7fd3871b65cc3dfde4010bbcccf2efee24a9cca016d6bdb07807ee

Observation 4bfb5f19-d82c-4f44-a4bc-a2b6a719f00c · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE Geoscience and Remote Sensing Magazine , volume =

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:29.088489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.955857Z digest=sha256:02d3948eb8d80385e05098a36d0b9d3ba8b8a88e55bd08a654c7113dbd61c899

Observation 07b25410-ec4e-404d-870c-7f26ec809b40 · outbound

This paper cites Science of Remote Sensing , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Science of Remote Sensing , volume =

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:28.872639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.052932Z digest=sha256:784cc10ef38ade4dd0f6c40663c94f64299ee7f7b9e2d797420befa72305c551

Observation e3215c48-ac31-4f32-bdf7-58b4aafef6e8 · outbound

This paper cites Science , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Science , volume =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:28.690356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.115862Z digest=sha256:e6eca4cc086dd48c24f5b9decffc713a695cb11738703684d410187166c85a8f

Observation 83cbf886-996f-4ed3-b90a-4e2993b9e422 · outbound

This paper cites Environmental Research Letters , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Environmental Research Letters , volume =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:28.495453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.175394Z digest=sha256:fb4d6b7e0d443b855894cbdd754926125ffc81357cb3dc2064bdf89f00e9b213

Observation 8db97e56-5883-4f23-9aed-6bd9ac6523b7 · outbound

This paper cites Remote Sensing , volume =.

Above-ground Biomass Estimation with Geospatial Foundation Models Remote Sensing , volume =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:28.364739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.228133Z digest=sha256:b76d5ce7a2bfc893b77be89f951d50a87bcf7af0e4af594ef0cfeb4f1eb45969

Observation fc54d427-ee79-4d9d-8928-e50b71e3c51c · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Above-ground Biomass Estimation with Geospatial Foundation Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:28.141146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.327036Z digest=sha256:b8795ae19771ba5b6fcf0cab144e316138d7648496613d13940728a2956ef728

Observation 6b0d8fc8-d1f2-47a8-b3b6-cdb1a3c597e1 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Above-ground Biomass Estimation with Geospatial Foundation Models Understanding intermediate layers using linear classifier probes

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:21.377646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:21.377646Z digest=sha256:8486b22ee822033259f040e81e2d331bcac42be77c70f8ef72fe31a6389e83c2

Observation 7a85c240-c747-4bf6-9437-bd580eb9973f · outbound

This paper cites SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.

Above-ground Biomass Estimation with Geospatial Foundation Models SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:21.432961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:21.432961Z digest=sha256:d7a43f796e91adff405f1b779a2e2f2c1a2736889f1c3b5bb948cd3b2c22b585

Observation 3953a86f-8a95-425d-93d4-8acd5e5a2c0f · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 79

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:25.048088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.538293Z digest=sha256:550c911163f70cbb1b97c6d5d3ef79c9074d3d0ab915209646e069f03f25096a

Observation 715a7d1c-98c1-45e9-9489-a54d90934b54 · outbound

This paper cites and Ciais, P.

Above-ground Biomass Estimation with Geospatial Foundation Models and Ciais, P

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:27.939510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.578419Z digest=sha256:d446600f9f8d514f0334a401272c9a431fa832ea48e690a7d58e670e8c32173b

Observation 0847173e-5548-429f-8e2f-e5186d93546d · outbound

This paper cites Forests , volume=.

Above-ground Biomass Estimation with Geospatial Foundation Models Forests , volume=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:27.614309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.641867Z digest=sha256:10e546e2a459d42c9f469b936ccf924d026cef6dda34bc77c101364e431cce96

Observation dcef5dbc-ea15-4f0d-ab01-dd259a6923da · outbound

This paper cites IEEE geoscience and remote sensing magazine , volume=.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE geoscience and remote sensing magazine , volume=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:27.201976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.721119Z digest=sha256:79608f1b8b0879cce9615c6840565304cc1734ac841eb39dc63ef26d94a8c580

Observation d768f0cd-7299-47a0-a4cb-c0bcd4e9e099 · outbound

This paper cites an unresolved cited work.

Above-ground Biomass Estimation with Geospatial Foundation Models Unresolved cited work

Reference 83

Resolution
verified exact
doi, observed 2026-08-06T16:35:26.909472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.767845Z digest=sha256:392bc28a6703606dd989a04592e84c77ab8cbd2c06e0f587da2acf6b2ba01711

Observation 17a92c31-882d-4c96-83c9-23916f3e25dd · outbound

This paper cites and Fransson, Johan E.S.

Above-ground Biomass Estimation with Geospatial Foundation Models and Fransson, Johan E.S

Reference 84

Resolution
verified exact
doi, observed 2026-08-06T16:35:22.249775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.823601Z digest=sha256:882b4dd166d48cb78448eaa7a91870bb6c452b423db5a4748d42e592519715a6

Observation 006a554d-c5f3-4dc7-9f70-90e8acf6d175 · outbound

This paper cites and Armston, John and Dubayah, Ralph and Minor, David M.

Above-ground Biomass Estimation with Geospatial Foundation Models and Armston, John and Dubayah, Ralph and Minor, David M

Reference 85

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:35:24.842284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.863367Z digest=sha256:d404eae19770d83907733d2c12400e85b3e11f0c9435c8b02625ccde5cba0ec5

Observation 847fb952-2b5c-460c-a8df-da6e79baa3b5 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters , year=.

Above-ground Biomass Estimation with Geospatial Foundation Models IEEE Geoscience and Remote Sensing Letters , year=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:35:26.561449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.938318Z digest=sha256:1513ed1f27bd2009915a2423c6149147afe347fbb246acd54644a6cf55c3bc47

Observation c16ec5d0-47e1-447c-9932-26b402e73a4e · outbound

This paper cites Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications.

Above-ground Biomass Estimation with Geospatial Foundation Models Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:21.983673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:35:21.983673Z digest=sha256:ae8d37c1677552b5bf237b39ad730f556c94ce3b46f567dc0eb83cf7e8542629

Observation 5efd9144-435a-497a-8721-768d8a5bd9ae · outbound

This paper cites UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation.

Above-ground Biomass Estimation with Geospatial Foundation Models UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:35:24.654678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:35:22.079363Z digest=sha256:e0c51e1bfc574cc1e80079531f65855bad040b0795ea1840055dc46ab69fd535

Pith citing papers

No inbound Pith citation observations are available.