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Paper Citation Record · LEDGER

Above-ground Biomass Estimation with Geospatial Foundation Models

As of 9 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 2026-08-09T06:31:02.800959+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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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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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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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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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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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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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Observation b4c45de7-c706-4dca-9288-b3f2caa70c14 · outbound

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

Reference 28

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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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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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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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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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doi, observed 2026-08-06T16:35:23.751474Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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=arxiv_source observed=2026-08-06T16:35:17.826929Z digest=sha256:5e399d35090ac3258137f98fac2d7a3c925bbe2e4f3573a49196f8f1da70365a

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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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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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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.004453Z digest=sha256:ee3a05b6b9271885dfd8c30aae7e606c56bc5aedadb48c3400bf867124a8a9c5

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=sha256:8187a865cb79570366c7baa5639b80fcec3985a83348c2aef82e189ccd6c45ba

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.196255Z digest=sha256:c5bacfd2e6fd807d02b92220e2d296dd3a99ccde8cf8c1019d253bdd52d790fd

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:a71c8df5d6ff5c346dccf2eb8f0ebac07b9bfdd6410d7b76a0bbb5867132bc33

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:ee1f49cd9d8c60923f89e0a3d2cda44ba318e396267d1ff875f1bab594b3d69c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.405595Z digest=sha256:17ff4fb1a6f52caaeb8e0abed889bf01e050c844607b52cdbe7bddd7acf32915

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.471362Z digest=sha256:badb1fb197bb8a5cbbcaa1a6a9b120937f44ed49b56e13e297f194eb2b9098d3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.546746Z digest=sha256:dacf7a022836d48faf9ab543e5992f5f83ab52e3bc353703b78e76c79792e4cf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.588196Z digest=sha256:988c73eafd9e16d673bbec11c19fc1cb94d5547cd0cbdbd0513148d8882f2be8

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=sha256:440e8478e62ad423f14bba7992a53b9441f2fe3eca3662ce4784f2b181b28e47

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.771369Z digest=sha256:a13a5769c37fd810ce7367add7841d987a23bfad86e83992da932650d19f5ed2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.842665Z digest=sha256:76d026033eec23793a7a5e155f4f1936c307f686d8a831cf9b166539a8392ed6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:18.915929Z digest=sha256:bdc9979a4c51ec3907d8db7eb01a13090b343ad01d1c17ac418fc8ed5e4e66b4

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=sha256:6da9ec21550e5c291994b7004b67e5720092edabc459d0a79d02e15a508cf864

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.084695Z digest=sha256:0009622ee28e400100c25f7c146a4330bc72f22e3463744f87b769f1a124d2fd

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:a2c8cfb7c37d77d509e102af92108c61d81094f5f2876a4835f4d3382b17bb8d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.327088Z digest=sha256:42b1c46c5fcc2162e20445c78eb2df4315ba6b8b04a15fb78153a8c62db55062

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.427753Z digest=sha256:f22f2e8ee4519248cd1650a9940042acc017f32510d5d520c422b304bede6612

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.530406Z digest=sha256:72a3ecd4b004f29c6dc1934b8e84515f6fb1fbc7740e971ab86717947fadfc4b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.599610Z digest=sha256:86615143292736a21ae59c1df6331873149a8a2d38d8bf0b698629267ecd74c4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.698855Z digest=sha256:b0fd96398e0161ea2718c55837015006b1eb8a2da76592f16ce955303f1a82d3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.780059Z digest=sha256:4ca97f651fc340603fffd96c321cf67a2a9ebca09bb0630ffac291d36f452abb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.870278Z digest=sha256:3e365e2661c22523e042e081ee2f0b5da36975c06bb7302bacd51e1754949dfa

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:19.970751Z digest=sha256:b23d98f57859230ac9a7239cb60c3671d82d5d7b1a76b709b17838c90a860614

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.056385Z digest=sha256:c52cf3c5b6e2f5661f04dba6a013d894dc23b03efa513041ed7e92aea9f0f684

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.108178Z digest=sha256:f538011aa3af8d4989c3c094cf9a7bc1456b3fb10acf1bd00170da70e0d6d469

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.210763Z digest=sha256:67c49ff74377db5e5770f76619e734106267ac859c29a0673ffc3c04080e12b4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.278832Z digest=sha256:6952eed74f5c5f34e8a6479a92bd46f646985e79bd46f6d035cec57f4d20729a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.378379Z digest=sha256:f500fe8df7a9180d04b92a14df0b5bcdff246baf66ef4fcaaedcd1987318e318

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.450032Z digest=sha256:f78c0f0dff61307d992d3695fec1e619782ca88514808ca6129c4d8f8b1b03ea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.527428Z digest=sha256:cd9d2adde96da09a37c773ae0442c1f6fb9566d387b528d886ae807da5d7a977

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.586654Z digest=sha256:079da8947ab329eb2548b973660ac20aa93b173b7a7aa8e267600b6328a850e3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.685866Z digest=sha256:5032ab55260c99982afa62eb62a1392173991ede021755909609762774bf17b8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.818259Z digest=sha256:d465d8a74fabdeaa5d4a49e47732d99f758338b3e972cd06c439da0498713c78

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:20.955857Z digest=sha256:9f77c5e0d7bb3f635575295ea8b8e4b953ab06178f2e9dbf309cea0d953994e4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.052932Z digest=sha256:042f928ed428a290bee9f87fe4909b73bfa0302e32cfd04b23dd51746aa233e3

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 2026-08-09T06:31:02.800959+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.175394Z digest=sha256:a4f1ef25b4a62ed52029c4e88c5a3f26ad079cf6f9cf05dbeed35a8544dc85d4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.228133Z digest=sha256:2319eb62c3748ecf27888914330f682260ee44bf5ce3b236d0e7be7eccc3c2d0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.327036Z digest=sha256:04bff0ad062517697716bf28b9ae3cf55e032438444f9cec59496e924a514b83

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=sha256:2bbd964b8f83ffc4fb9d9f54ca83151f09b7e8d7ede4d52ceb03b80c510633b2

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=sha256:13555372d4da1c6570cdc26338bf2c2bde3647966096c0e3d292754a15bfc612

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.538293Z digest=sha256:70bb03dd9c0b24385b1b3f1953a75153c3013d38b56908a7691967b1a45a71f0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.578419Z digest=sha256:d1d6951bf99d19a0cbbf65909553ea9b03f36e2f0f028eaa1a1d57b82b3a7f24

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.641867Z digest=sha256:3d261abda4f16609369bbb13112a02583058278db2e873037537192760613a45

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.721119Z digest=sha256:3ffba908692e338d26bf61147901754a812f228f9959d4c2dd545f351403a24e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.767845Z digest=sha256:cc23f069bb59db53b9ee1f495e3ecd1b7bab7a91f5bafab194ae719bf82f00f4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.823601Z digest=sha256:e8c31599cc3c291db6b7ba049b36f08b6b839bdbc739d87f59c6c63d65b95753

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.863367Z digest=sha256:862043a299a228cabc1eb7de5db3b918891fbf2e30bb8e1879e5cb1cf9ed0745

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:21.938318Z digest=sha256:dc549545f72b195bff314f564a6c1b072a20c1aeb350dc3a258dec84ff0f8fe4

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:e12f04bbdbaac0540cddfde4a7a8b8d88ee20011ef3dd7b557608129372a3c69

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T16:35:22.079363Z digest=sha256:26d8ad6c4ba3cb03eb58e2b088df044415ef18698540b377831f86f1401fb072

Pith citing papers

No inbound Pith citation observations are available.