Paper Citation Record · LEDGER

Trees as Gaussians: Large-Scale Individual Tree Mapping

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2508.21437.

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

pith.paper-citation-record.v1
2508.21437 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:30.814927Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:20:52.434983Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.933214Z

Reference resolution

31 of 31 outbound references displayed

verified exact5
verified fuzzy21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f13b30b1-960d-4e62-a548-2f917db4deb3 · outbound

This paper cites The biodiversity benefit of native forests and mixed-species plantations over monoculture plantations.

Trees as Gaussians: Large-Scale Individual Tree Mapping The biodiversity benefit of native forests and mixed-species plantations over monoculture plantations

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T14:22:31.094750Z

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Observation 4d2d25e8-9f95-4093-8784-c586c629417d · outbound

This paper cites A Planetary Health Perspective on Agroforestry in Sub-Saharan Africa.

Trees as Gaussians: Large-Scale Individual Tree Mapping A Planetary Health Perspective on Agroforestry in Sub-Saharan Africa

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.799900Z

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Observation 542f5cc2-7d60-48cc-92ce-62c6fb6202d0 · outbound

This paper cites Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions.

Trees as Gaussians: Large-Scale Individual Tree Mapping Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.787677Z

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Observation f541c9b3-09f9-4eff-92d7-5921cfc8a92b · outbound

This paper cites High-Resolution Global Maps of 21st-Century Forest Cover Change.

Trees as Gaussians: Large-Scale Individual Tree Mapping High-Resolution Global Maps of 21st-Century Forest Cover Change

Reference 4

Resolution: verified exact; doi, observed 2026-08-05T14:22:31.020011Z

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Observation 993e07ff-1159-4095-8e1e-bea215fce3df · outbound

This paper cites Wall-to-wall mapping of tree extent in the tropics with Sentinel-1 and Sentinel-2.

Trees as Gaussians: Large-Scale Individual Tree Mapping Wall-to-wall mapping of tree extent in the tropics with Sentinel-1 and Sentinel-2

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.775532Z

Source-reported events for the cited work

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Observation 2e16b077-83c8-4775-a7d4-50dcd23ad09f · outbound

This paper cites A high-resolution canopy height model of the Earth.

Trees as Gaussians: Large-Scale Individual Tree Mapping A high-resolution canopy height model of the Earth

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.762587Z

Source-reported events for the cited work

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Observation fb9c2d21-8132-4c45-adab-e99041d87ae7 · outbound

This paper cites Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar.

Trees as Gaussians: Large-Scale Individual Tree Mapping Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.750587Z

Source-reported events for the cited work

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Observation 6be82125-6c84-4a7b-98f6-bc07b8d9e6e8 · outbound

This paper cites Estimating Canopy Height at Scale.

Trees as Gaussians: Large-Scale Individual Tree Mapping Estimating Canopy Height at Scale

Reference 8

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Source-reported events for the cited work

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Observation 09f2e7c9-7965-40bf-a549-e6c34509cb87 · outbound

This paper cites Mapping tropical forest degradation with deep learning and Planet NICFI data.

Trees as Gaussians: Large-Scale Individual Tree Mapping Mapping tropical forest degradation with deep learning and Planet NICFI data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.723102Z

Source-reported events for the cited work

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Observation 25974f55-7691-424a-8206-d052cbb49c3d · outbound

This paper cites An unexpectedly large count of trees in the West African Sahara and Sahel.

Trees as Gaussians: Large-Scale Individual Tree Mapping An unexpectedly large count of trees in the West African Sahara and Sahel

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.710196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4bec4d97-eb68-464f-98b6-b3f8a9f5cdff · outbound

This paper cites More than one quarter of Africa’s tree cover is found outside areas previously classified as forest.

Trees as Gaussians: Large-Scale Individual Tree Mapping More than one quarter of Africa’s tree cover is found outside areas previously classified as forest

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.688230Z

Source-reported events for the cited work

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Observation f997111c-ed2f-4dec-9dfd-14c41573196e · outbound

This paper cites Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda.

Trees as Gaussians: Large-Scale Individual Tree Mapping Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.675500Z

Source-reported events for the cited work

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Observation 71d6d9af-bdfd-45fc-9645-4e89627437d7 · outbound

This paper cites Severe decline in large farmland trees in India over the past decade.

Trees as Gaussians: Large-Scale Individual Tree Mapping Severe decline in large farmland trees in India over the past decade

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.662459Z

Source-reported events for the cited work

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Observation fa3cc117-e8f2-4ad9-b47e-b97e77b68074 · outbound

This paper cites A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network.

Trees as Gaussians: Large-Scale Individual Tree Mapping A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.648932Z

Source-reported events for the cited work

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Observation 3168b311-a970-40e8-a8ec-c398569911c3 · outbound

This paper cites Braga JR, Peripato V, Dalagnol R, et al.

Trees as Gaussians: Large-Scale Individual Tree Mapping Braga JR, Peripato V, Dalagnol R, et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.636080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b8aea78-8b74-48fd-b69f-bab46b93c30d · outbound

This paper cites Objects as Points.

Trees as Gaussians: Large-Scale Individual Tree Mapping Objects as Points

Reference 16

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Source-reported events for the cited work

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Observation 34ed1e48-ced4-43b5-9867-985c2f14aac6 · outbound

This paper cites CornerNet: Detecting Objects as Paired Keypoints.

Trees as Gaussians: Large-Scale Individual Tree Mapping CornerNet: Detecting Objects as Paired Keypoints

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.622876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f273569-9bff-4d12-920a-b313f0807460 · outbound

This paper cites Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algo- rithms.

Trees as Gaussians: Large-Scale Individual Tree Mapping Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algo- rithms

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.609346Z

Source-reported events for the cited work

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Observation e325efce-567c-4c75-bb13-93a6b6b63ef4 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Trees as Gaussians: Large-Scale Individual Tree Mapping U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.596108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebdb096c-fe24-4475-8e59-5c3d3df1715b · outbound

This paper cites Deep Residual Learning for Image Recognition.

Trees as Gaussians: Large-Scale Individual Tree Mapping Deep Residual Learning for Image Recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:30.749137Z

Source-reported events for the cited work

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Observation ab3342f2-089c-4888-a1d0-224f9fdb1d2c · outbound

This paper cites OmniSat: Self-supervised Modality Fusion for Earth Observation.

Trees as Gaussians: Large-Scale Individual Tree Mapping OmniSat: Self-supervised Modality Fusion for Earth Observation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.567607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c7aa37e-c792-4bd5-9863-4879bbafdaf5 · outbound

This paper cites GPS2Vec: Towards Generating Worldwide GPS Embeddings.

Trees as Gaussians: Large-Scale Individual Tree Mapping GPS2Vec: Towards Generating Worldwide GPS Embeddings

Reference 22

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-05T14:22:31.514353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d1d51ce-42e3-49d2-abb8-c7e09afbf1cb · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

Trees as Gaussians: Large-Scale Individual Tree Mapping SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:30.767442Z

Source-reported events for the cited work

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Observation 69eaf3bf-3642-4f73-98d9-5c6076f50f4d · outbound

This paper cites Learning Transferable Visual Models From Natural Lan- guage Supervision.

Trees as Gaussians: Large-Scale Individual Tree Mapping Learning Transferable Visual Models From Natural Lan- guage Supervision

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.554733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e9ccc64-addc-483c-be6e-d4408011c688 · outbound

This paper cites ESA WorldCover 10 m 2020 v100.

Trees as Gaussians: Large-Scale Individual Tree Mapping ESA WorldCover 10 m 2020 v100

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:30.784154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f6adf2-51bb-47f5-a012-b08b332a309c · outbound

This paper cites Mapping global forest cover of the year 2020 to support the EU regulation on deforestation-free supply chains.

Trees as Gaussians: Large-Scale Individual Tree Mapping Mapping global forest cover of the year 2020 to support the EU regulation on deforestation-free supply chains

Reference 26

Resolution: verified exact; doi, observed 2026-08-05T14:22:30.870395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0b28328-abde-43a4-95b9-ceb010f46761 · outbound

This paper cites Individual tree detection in large-scale urban envi- ronments using high-resolution multispectral imagery.

Trees as Gaussians: Large-Scale Individual Tree Mapping Individual tree detection in large-scale urban envi- ronments using high-resolution multispectral imagery

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.541448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 106117fb-54d2-4717-b6c7-6133979cdda7 · outbound

This paper cites Assessing the Sharpness of Satellite Images: Study of the Planetscope Constellation.

Trees as Gaussians: Large-Scale Individual Tree Mapping Assessing the Sharpness of Satellite Images: Study of the Planetscope Constellation

Reference 28

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-05T14:22:31.336519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f681572-d034-45af-891e-5fff53206ed3 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

Trees as Gaussians: Large-Scale Individual Tree Mapping Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:30.805543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e14eefb-1321-40f7-a2e6-97453224e4c4 · outbound

This paper cites MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning.

Trees as Gaussians: Large-Scale Individual Tree Mapping MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.528986Z

Source-reported events for the cited work

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Observation 433f25b6-e4dd-44de-b8ee-07a760726445 · outbound

This paper cites by Navab N, Hornegger J, Wells WM, and Frangi AF.

Trees as Gaussians: Large-Scale Individual Tree Mapping by Navab N, Hornegger J, Wells WM, and Frangi AF

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:22:31.580698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation fd8b300c-4206-4a09-9012-98be134056ad · inbound

Counting Trees from Satellite Imagery with Noisy Supervision cites this paper.

Counting Trees from Satellite Imagery with Noisy Supervision Trees as Gaussians: Large-Scale Individual Tree Mapping

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:57.934733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.