Paper Citation Record · LEDGER

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2504.17397.

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

pith.paper-citation-record.v1
2504.17397 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:38.322575Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

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verified fuzzy28
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6d2361c-e728-48cd-a8b3-9f88bfe0ffb2 · outbound

This paper cites Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation

Reference 1

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Observation bd2104ae-173c-49bf-9472-cbe957ae8ef0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Work- shops.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Work- shops

Reference 2

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Observation 7cad90fd-dda1-4a10-8be1-8b14cb6092c1 · outbound

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

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models On the Opportunities and Risks of Foundation Models

Reference 3

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2020).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2020)

Reference 4

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Observation a87da04d-bc52-4a06-9e0f-e053463f2833 · outbound

This paper cites Advances in Neural Information Processing Systems33(2020).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Advances in Neural Information Processing Systems33(2020)

Reference 5

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Observation 84459345-4ad0-4461-9263-65d422715c14 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2021).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2021)

Reference 6

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Observation c1b7c6f1-8df7-44b7-92e4-c7e3f29ddd84 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: The Eleventh International Conference on Learning Representations (2023)

Reference 7

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Observation 0ba31301-31fb-4a3c-b965-8054b263d037 · outbound

This paper cites reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis

Reference 8

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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Unresolved cited work

Reference 9

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Observation f5ea7a1c-67fb-405f-9df1-5146ce65e66e · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models IEEE Transactions on Geoscience and Remote Sensing (2024)

Reference 10

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Observation bd6e0f63-c4e5-4f92-a397-5ffad2055bbb · outbound

This paper cites In: International Con- ference on Learning Representations (2020).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: International Con- ference on Learning Representations (2020)

Reference 11

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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Unresolved cited work

Reference 12

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Observation b0875197-6c07-431d-a99a-c68e50d76146 · outbound

This paper cites TerraTorch: The Geospatial Foundation Models Toolkit.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models TerraTorch: The Geospatial Foundation Models Toolkit

Reference 13

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This paper cites In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Reference 14

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Observation 105dd71b-c8f3-41eb-9a63-c009456be1c6 · outbound

This paper cites Transactions on Machine Learning Research (2024) 16 Marti Escofet, F., Blumenstiel, B., Scheibenreif, L., Fraccaro, P.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Transactions on Machine Learning Research (2024) 16 Marti Escofet, F., Blumenstiel, B., Scheibenreif, L., Fraccaro, P

Reference 15

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Observation eeed4f4a-ab10-4c89-a2f2-861a031523e7 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)

Reference 16

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This paper cites Proceedings of the International Conference on Learning Representations1(2) (2022).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Proceedings of the International Conference on Learning Representations1(2) (2022)

Reference 17

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This paper cites IEEE Transac- tions on Geoscience and Remote Sensing (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models IEEE Transac- tions on Geoscience and Remote Sensing (2024)

Reference 18

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Observation 1655f995-3d4c-4527-bb3e-7dfdfa27e0c1 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing62(2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models IEEE Transactions on Geoscience and Remote Sensing62(2024)

Reference 19

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Observation 8d2269af-e1da-4e91-bcd2-55488eb6b57a · outbound

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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Unresolved cited work

Reference 20

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Observation 98b9e70f-e30a-47f6-b972-4de37eb3b5ec · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 21

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This paper cites In: Proceedings of the European Conference on Computer Vision.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the European Conference on Computer Vision

Reference 22

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Observation bef4f640-49bb-41f3-b8d1-d1ec556876e2 · outbound

This paper cites Radiant MKHub (2021).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Radiant MKHub (2021)

Reference 23

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This paper cites Advances in Neural Information Pro- cessing Systems36(2023).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Advances in Neural Information Pro- cessing Systems36(2023)

Reference 24

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)

Reference 25

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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 26

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Observation e10ea8fc-e06b-43e4-919f-87b6fc9ce6db · outbound

This paper cites In: IEEE International Geoscience and Remote Sensing Symposium.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: IEEE International Geoscience and Remote Sensing Symposium

Reference 27

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Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Unresolved cited work

Reference 28

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Observation 13182c22-728c-43b7-be9d-ebc3793ba8cb · outbound

This paper cites In: Medical Image Computing and Computer-assisted Intervention–MICCAI.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Medical Image Computing and Computer-assisted Intervention–MICCAI

Reference 29

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Observation 25bf7bfd-bdc0-4123-91f6-c30df1d45ce4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)

Reference 30

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Observation 118cbb9d-72dd-4660-8d2f-c471155f5b4d · outbound

This paper cites arXiv preprint arXiv:2412.02732 (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models arXiv preprint arXiv:2412.02732 (2024)

Reference 31

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This paper cites arXiv preprint arXiv:2503.09493 (2025) Parameter-Efficient Fine-Tuning for Geospatial Foundation Models 17.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models arXiv preprint arXiv:2503.09493 (2025) Parameter-Efficient Fine-Tuning for Geospatial Foundation Models 17

Reference 32

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Observation 6b663f02-b003-41a5-8bf9-a3aaad21928c · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the European Conference on Computer Vision (2024)

Reference 33

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Observation fc03b77a-47fc-4889-a9f8-90acd97f718e · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine11(3) (2023).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models IEEE Geoscience and Remote Sensing Magazine11(3) (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:45:39.005689Z

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This paper cites In: Proceedings of the European Conference on Computer Vision) (2018).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the European Conference on Computer Vision) (2018)

Reference 35

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Observation 274abd4e-f08e-43dd-b1c5-3ef89ea5ca0a · outbound

This paper cites arXiv preprint arXiv:2403.15356 (2024).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models arXiv preprint arXiv:2403.15356 (2024)

Reference 36

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Observation 66ec86b9-823e-47ab-8173-a16b0d1334f1 · outbound

This paper cites Environmental Sci- ences Proceedings29(1) (2023).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Environmental Sci- ences Proceedings29(1) (2023)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:45:38.946091Z

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Observation 5d57ecd3-8d84-4051-8695-6436f1c3ebab · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (2022).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (2022)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:45:38.917852Z

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Observation a4f71978-c126-430e-a40c-d237ec2d16c2 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017).

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:45:38.894934Z

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This paper cites Supplementary Material We provide additional information for the datasets and experiments.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Supplementary Material We provide additional information for the datasets and experiments

Reference 40

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Observation 887373ac-d48e-4642-b51b-43b04e2f7bd0 · outbound

This paper cites Due to normalization, dropping input bands mathematically equals inputting the mean channel value.

Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Due to normalization, dropping input bands mathematically equals inputting the mean channel value

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:45:38.848833Z

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

Pith citing papers

No inbound Pith citation observations are available.