Paper Citation Record · LEDGER

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

As of 7 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 6 inbound Pith citation observations for arXiv:2507.09081.

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

pith.paper-citation-record.v1
2507.09081 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:10:19.555298Z

measured 106 of 106 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:53:14.651284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.525645Z

Reference resolution

100 of 103 outbound references displayed

verified exact0
verified fuzzy67
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b5b2388-7d27-46df-90b9-52f6bd11e76f · outbound

This paper cites Advanced Science 10(26), 2302361 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Advanced Science 10(26), 2302361 (2023)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.221273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 112186f8-77fa-42f1-aab2-6ffddbab79fa · outbound

This paper cites Nature Reviews Electrical Engineering 1(4), 251–263 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Nature Reviews Electrical Engineering 1(4), 251–263 (2024)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.280087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b50610-a92a-45b2-a21e-73a4cde52991 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 218, 20–49 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion ISPRS Journal of Photogrammetry and Remote Sensing 218, 20–49 (2024)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.313491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2aa01ee-9d54-42b8-8c49-d2430fc6dd70 · outbound

This paper cites International Journal of Applied Earth Observation and Geoinformation 133, 104123 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International Journal of Applied Earth Observation and Geoinformation 133, 104123 (2024)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.354387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806a75b4-7034-401b-b64a-52207e73340b · outbound

This paper cites Remote Sensing of Environment 280, 113195 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 280, 113195 (2022)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.446849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa9189c-7cd7-4838-bb9c-cd4ae7eaea7f · outbound

This paper cites Information Fusion 90, 185–217 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Information Fusion 90, 185–217 (2023)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.574109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75351c36-61b3-4b1b-b477-f50369c44b2c · outbound

This paper cites Nature Reviews Earth & Environment 4(5), 319–332 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Nature Reviews Earth & Environment 4(5), 319–332 (2023)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.652459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b24e95-dc1a-4424-8f03-71715be97735 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 202, 87–113 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion ISPRS Journal of Photogrammetry and Remote Sensing 202, 87–113 (2023)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.711168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f9a4bb-fec3-403b-bd67-8d15f1dd3d95 · outbound

This paper cites National Remote Sensing Bulletin 26(2), 268–285 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion National Remote Sensing Bulletin 26(2), 268–285 (2022)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.777072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9672cdeb-8eef-4200-867b-b6a6e736de33 · outbound

This paper cites Artificial Intelligence Review 57(9), 224 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Artificial Intelligence Review 57(9), 224 (2024)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.937530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61145281-5f00-40a9-b5b0-70dfc250af1b · outbound

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

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing (2024)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.987305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11d8ad11-dde1-4560-aede-79e57cae6c54 · outbound

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

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing (2024)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.101972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f3f1171-c25a-427f-994b-bb943e4754f1 · outbound

This paper cites Computers and Electronics in Agriculture 223, 109111 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 223, 109111 (2024)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.222916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dafa607c-ac15-42c1-a052-d63fb841635a · outbound

This paper cites Computers and Electronics in Agriculture 221, 109017 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 221, 109017 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.257340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8313290a-48ec-42dd-8222-7892cd6cb52f · outbound

This paper cites Remote Sensing 16(13), 2401 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing 16(13), 2401 (2024)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.299090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645379a1-c7d2-4914-b4f4-b8f10a420f99 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 62, 1–13 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing 62, 1–13 (2024)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.340790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53618937-fdf1-4dcc-bc7c-404a04df15fb · outbound

This paper cites Remote Sensing of Environment 311, 114308 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 311, 114308 (2024)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.368102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f0548c-6516-4691-89a9-8dddb64663a5 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.417145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3cd446-a4e1-4e67-849c-9bed6f959904 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 197– 211 (2022) 25.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Advances in Neural Information Processing Systems 35, 197– 211 (2022) 25

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.459963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ad82a3-c79d-4898-8562-fb1d9512732c · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.508036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e037f76-4807-4ff8-a008-cf3c9dc6fcb1 · outbound

This paper cites In: European Conference on Computer Vision, pp.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion In: European Conference on Computer Vision, pp

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.569962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4205d229-4430-4297-be65-7cfaf718215f · outbound

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

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion On the Opportunities and Risks of Foundation Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.635674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6f2b49-7901-493f-b89f-ac9cd5a36e6f · outbound

This paper cites IEEE Access (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Access (2025)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.681705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b75d3338-cb7e-4872-9b26-b35527bbe266 · outbound

This paper cites International Journal of Artificial Intelligence for Science (IJAI4S) 1(1) (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International Journal of Artificial Intelligence for Science (IJAI4S) 1(1) (2025)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.711490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c779d063-3052-46a7-af3e-7518da19d930 · outbound

This paper cites Computers and Electronics in Agriculture 220, 108891 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 220, 108891 (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:22.280911Z

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.

Observation 86b9f78a-55fe-4101-bec8-c260745c33f6 · outbound

This paper cites Journal of Hydrology: Regional Studies 52, 101689 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Journal of Hydrology: Regional Studies 52, 101689 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:22.207399Z

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.

Observation 37bfb14a-b507-47ac-9734-1551cd0a17dd · outbound

This paper cites Remote Sensing of Environment 307, 114123 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 307, 114123 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:22.125175Z

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.

Observation 1bff864a-161e-46fe-8634-11570c44d00a · outbound

This paper cites Ecological Indicators 159, 111653 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Ecological Indicators 159, 111653 (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:22.064240Z

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.

Observation 0f0f4343-6e78-44bb-879b-5c5a9fa178d0 · outbound

This paper cites Remote Sensing of Environment 309, 114226 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 309, 114226 (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:22.001339Z

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.

Observation 089e8ae6-4552-4944-8592-067c5cc13e4c · outbound

This paper cites Geoderma 398, 115118 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Geoderma 398, 115118 (2021)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.889136Z

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.

Observation ebda15f8-3cce-4ec3-b2f6-12c2fc753148 · outbound

This paper cites Remote Sensing of Environment 304, 114066 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 304, 114066 (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.754087Z

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.

Observation fb366cbb-78c4-426c-87e4-a973e4190538 · outbound

This paper cites Computers and Electronics in Agriculture 218, 108686 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 218, 108686 (2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.656652Z

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.

Observation ae26cd4d-1a3e-4f1a-a714-72fb132b8423 · outbound

This paper cites Nature Communications 15(1), 7816 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Nature Communications 15(1), 7816 (2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.589758Z

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.

Observation 0d7e7b78-8163-4608-abf4-24b2777aac9d · outbound

This paper cites Applied Sciences 14(14), 5980 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Applied Sciences 14(14), 5980 (2024)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.517308Z

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.

Observation 8d24000d-cc01-48aa-9519-a04d22649adc · outbound

This paper cites Remote Sensing of Environment 301, 113943 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 301, 113943 (2024)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.444913Z

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.

Observation d6165957-ddee-4563-a7d2-2d9d2a1648c7 · outbound

This paper cites Nature Geoscience 17(6), 539–544 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Nature Geoscience 17(6), 539–544 (2024)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.382386Z

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.

Observation fd2ba2f6-0c71-49fa-903b-d950c71abd9f · outbound

This paper cites Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.203628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506b2395-650b-4ba5-950b-a536ce612d02 · outbound

This paper cites Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:11:14.499815Z

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.

Observation 783be4bb-26d4-468c-a4ae-f8050b2c199a · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing (2025)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.309562Z

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.

Observation 93dc1fca-6a7e-4361-b107-d6e65bec0d57 · outbound

This paper cites Pattern Recognition 164, 111579 (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Pattern Recognition 164, 111579 (2025)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.241237Z

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.

Observation 35497942-893f-4316-8e8c-9610379e299c · outbound

This paper cites IEEE Transactions on Multimedia (2025) 27.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Multimedia (2025) 27

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.147425Z

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.

Observation 04a94c4d-b9bc-4f1d-ba80-8fae0dbe8338 · outbound

This paper cites A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.402040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da0dd0d-4022-40c3-ad66-5998442770e0 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 108, 273–290 (2015).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion ISPRS Journal of Photogrammetry and Remote Sensing 108, 273–290 (2015)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:21.012261Z

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.

Observation cf76fae7-2144-4715-bbb8-496c072d7bac · outbound

This paper cites SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.476685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a448c8-e247-422a-9421-b65616cdf569 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–11 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing 60, 1–11 (2021)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.870261Z

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.

Observation 4605291e-12e2-43f1-8373-b479187bf136 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Circuits and Systems for Video Technology (2025)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.777166Z

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.

Observation 5e5d3509-92e5-47b6-9bff-3496cc9138d4 · outbound

This paper cites Remote Sensing of Environment 306, 114117 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 306, 114117 (2024)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.668017Z

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.

Observation bfc56109-4620-4b2c-8039-c48bd396a8b2 · outbound

This paper cites Computers and Electronics in Agriculture 225, 109238 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 225, 109238 (2024)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.540501Z

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.

Observation 7c5f876b-47db-43bc-95cc-55445b754830 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 198, 297–309 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion ISPRS Journal of Photogrammetry and Remote Sensing 198, 297–309 (2023)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.450394Z

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.

Observation 94058b4a-25ae-4406-aa46-afb9e8f501aa · outbound

This paper cites DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion DC4CR: When Cloud Removal Meets Diffusion Control in Remote Sensing

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.836524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81f63e2-971b-48fb-82fe-b5876ca64619 · outbound

This paper cites SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.899510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fbfb61-8615-4afe-a094-061073403765 · outbound

This paper cites Remote Sensing of Environment 286, 113421 (2023) 28.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 286, 113421 (2023) 28

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.291821Z

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.

Observation 9a5e65ae-b693-42da-a2ba-ad2936992a5b · outbound

This paper cites 0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion 0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.197364Z

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.

Observation b0b982b6-582a-4255-a5f0-2e680f623385 · outbound

This paper cites IEEE geoscience and remote sensing magazine 5(4), 8–36 (2017).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE geoscience and remote sensing magazine 5(4), 8–36 (2017)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:20.038717Z

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.

Observation 3da3c964-931e-4598-b507-6ee0c6862644 · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, 9842–9859 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, 9842–9859 (2022)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.844964Z

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.

Observation ad1704ff-64ed-4246-92bc-8236b8ce0212 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing (2025)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.698441Z

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.

Observation 04b00904-ffe9-44b8-a39c-c0a558f313f7 · outbound

This paper cites Remote sensing of environment 113, 56–66 (2009).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote sensing of environment 113, 56–66 (2009)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.570859Z

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.

Observation a737ec4a-8f74-4c6c-afa2-dac8e34ccef5 · outbound

This paper cites International journal of remote sensing 25(1), 73–96 (2004).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International journal of remote sensing 25(1), 73–96 (2004)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.438190Z

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.

Observation 118a7cda-5444-4f3f-ba73-6f5f1152e5ea · outbound

This paper cites Geoscientific Model Development 14(7), 4697–4712 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Geoscientific Model Development 14(7), 4697–4712 (2021)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.287092Z

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.

Observation b2132a81-5e4d-4e07-adef-aeebd11ae05b · outbound

This paper cites JSTOR (1995).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion JSTOR (1995)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:19.139773Z

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.

Observation a416c3a2-67e4-494c-a45d-b19ef3e6e6d1 · outbound

This paper cites Remote sensing of environment 112(4), 1702–1711 (2008).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote sensing of environment 112(4), 1702–1711 (2008)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.995369Z

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.

Observation 86d37f67-a74b-4531-8d6a-8f0c3a44d3b1 · outbound

This paper cites IEEE transactions on geoscience and remote sensing 35(3), 675–686 (1997).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE transactions on geoscience and remote sensing 35(3), 675–686 (1997)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.885205Z

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.

Observation 80910e99-a25e-478b-b632-6b4b6a895b16 · outbound

This paper cites Remote sensing of environment 87(1), 23–41 (2003).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote sensing of environment 87(1), 23–41 (2003)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.813553Z

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.

Observation 03a91f4f-58b6-465a-84a1-e62cfe685fab · outbound

This paper cites Remote Sensing 14(5), 1114 (2022) 29.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing 14(5), 1114 (2022) 29

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.740148Z

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.

Observation f73f7b7b-2c6e-48c9-beb3-2f30d202947b · outbound

This paper cites IEEE Transactions on geoscience and remote sensing 34(4), 946–956 (2002).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on geoscience and remote sensing 34(4), 946–956 (2002)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.641680Z

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.

Observation 223a0da2-1d37-40b3-9684-e1f6e1675d25 · outbound

This paper cites Remote Sensing 11(19), 2283 (2019).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing 11(19), 2283 (2019)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.534007Z

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.

Observation 4e226097-f316-474e-995f-2fe7deea136a · outbound

This paper cites Remote sensing of environment 84(1), 1–15 (2003).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote sensing of environment 84(1), 1–15 (2003)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.441006Z

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.

Observation 61b811e8-3c79-4d37-8b0a-468da566f812 · outbound

This paper cites IEEE Transactions on knowledge and data engineering 29(10), 2318–2331 (2017).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on knowledge and data engineering 29(10), 2318–2331 (2017)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.296037Z

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.

Observation c7141e8d-9f5b-43c4-b273-cfbdebf0cbdc · outbound

This paper cites Remote Sensing of Environment 261, 112476 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 261, 112476 (2021)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.222016Z

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.

Observation 3aaae55c-7774-47db-88b3-bfedf2e8c666 · outbound

This paper cites ISPRS journal of photogrammetry and remote sensing 114, 24–31 (2016).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion ISPRS journal of photogrammetry and remote sensing 114, 24–31 (2016)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:18.077713Z

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.

Observation 749e6b38-bf9c-4577-bcd2-444a3e2d5d3d · outbound

This paper cites Computers and Electronics in Agriculture 200, 107130 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and Electronics in Agriculture 200, 107130 (2022)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.931166Z

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.

Observation ee75ab54-9e07-41ad-9cba-1ee70cf03bc9 · outbound

This paper cites 5 using fine-resolution satellite data in the megacity of beijing, china.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion 5 using fine-resolution satellite data in the megacity of beijing, china

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.820094Z

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.

Observation 90cbb4ec-e051-40e0-945f-3e58e1a75e86 · outbound

This paper cites Remote Sensing of Environment 311, 114317 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 311, 114317 (2024)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.686181Z

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.

Observation 566220e9-b91a-486c-aa65-50de8b48cbaf · outbound

This paper cites IEEE Transactions on Fuzzy Systems (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Fuzzy Systems (2024)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.550714Z

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.

Observation 9873b1ee-6880-4ec5-84ef-93cb49e2ef01 · outbound

This paper cites International Journal of Applied Earth 30 Observation and Geoinformation 114, 103060 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International Journal of Applied Earth 30 Observation and Geoinformation 114, 103060 (2022)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.428151Z

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.

Observation a6dd5e97-a056-4aa6-ab47-ea85ab088328 · outbound

This paper cites Journal of Hydrology: Regional Studies 56, 102023 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Journal of Hydrology: Regional Studies 56, 102023 (2024)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.275731Z

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.

Observation 7c830c14-2f4c-4280-9da7-070313497fa8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:17.962292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9573a203-d032-482f-9b24-6f7617acff01 · outbound

This paper cites Artificial Intelligence Review 58(9), 272 (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Artificial Intelligence Review 58(9), 272 (2025)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.163282Z

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.

Observation 10988692-ddd7-45f2-9f07-5216d18d6437 · outbound

This paper cites International Journal of Remote Sensing 43(2), 630–648 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International Journal of Remote Sensing 43(2), 630–648 (2022)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:17.129961Z

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.

Observation 236c2436-157e-4fd2-9d44-afd505157e6f · outbound

This paper cites an unresolved cited work.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:11:16.999285Z

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.

Observation a4803f3d-9b42-4274-a270-e9856d5a47bc · outbound

This paper cites Neural Computing and Applications 37(5), 3809–3826 (2025).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Neural Computing and Applications 37(5), 3809–3826 (2025)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.907756Z

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.

Observation 91bf5d98-9680-499b-a322-19125f899d46 · outbound

This paper cites Remote Sensing of Environment 310, 114241 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing of Environment 310, 114241 (2024)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.801949Z

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.

Observation d14ad2a0-a948-4316-a1bb-2819181f1941 · outbound

This paper cites International Journal of Remote Sensing 45(19-20), 7753– 7774 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion International Journal of Remote Sensing 45(19-20), 7753– 7774 (2024)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.659689Z

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.

Observation 6b1e4986-fc70-4b1b-abc9-465af9fd3fc4 · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters 19, 1–5 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Geoscience and Remote Sensing Letters 19, 1–5 (2021)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.472760Z

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.

Observation 4f4a769d-a817-4a98-a4e5-3ed22b7988bd · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–11 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Transactions on Geoscience and Remote Sensing 60, 1–11 (2021)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.353580Z

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.

Observation 989067ce-32f5-4333-8304-6369aee384f2 · outbound

This paper cites Journal of Hydrology 635, 131203 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Journal of Hydrology 635, 131203 (2024)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.252560Z

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.

Observation 616ef118-5be7-46e2-bed5-39f5036dd005 · outbound

This paper cites Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:11:14.242156Z

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.

Observation 2a82e838-3709-4b8e-976b-9d9f45735aaa · outbound

This paper cites Remote sensing of environment 221, 635–649 (2019).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote sensing of environment 221, 635–649 (2019)

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.089371Z

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.

Observation abbcb259-b29e-4085-83b2-ee6ff71be327 · outbound

This paper cites Remote Sensing 15(14), 3534 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Remote Sensing 15(14), 3534 (2023)

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.938328Z

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.

Observation 72838156-ad54-4d63-a940-2ecd53771de6 · outbound

This paper cites GIScience & Remote Sensing 61(1), 2393489 (2024).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion GIScience & Remote Sensing 61(1), 2393489 (2024)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.841974Z

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.

Observation a6eeac43-5746-445e-b7a3-a270519e5ccb · outbound

This paper cites Water Research 229, 119478 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Water Research 229, 119478 (2023)

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.717336Z

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.

Observation 07b02ea0-d985-48f2-814d-d4c86aa5fe10 · outbound

This paper cites Computers and electronics in agriculture 190, 106480 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Computers and electronics in agriculture 190, 106480 (2021)

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.594210Z

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.

Observation 175106d6-12da-4678-9d55-9e2b778cb3ea · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine 9(3), 174–180 (2021).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Geoscience and Remote Sensing Magazine 9(3), 174–180 (2021)

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.545205Z

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.

Observation 14fb082a-6355-459b-a681-64fe3d49c683 · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine 11(3), 98–106 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion IEEE Geoscience and Remote Sensing Magazine 11(3), 98–106 (2023)

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.490116Z

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.

Observation 629aa047-c6e6-4805-bc81-42cf207df45d · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.379957Z

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.

Observation 9a2ff694-174f-4c2b-8072-1e7f4511e3b1 · outbound

This paper cites In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.296797Z

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.

Observation d27d0955-36d3-469e-8b47-61db7b927208 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp.

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.178441Z

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.

Observation 6b731f29-b1ae-496d-bfd0-7b9cb72a16ec · outbound

This paper cites Advances in Neural Information Processing Systems 36, 59787–59807 (2023).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Advances in Neural Information Processing Systems 36, 59787–59807 (2023)

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.081130Z

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.

Observation 70aee07a-b54d-45ca-bbce-f552e2f2ea40 · outbound

This paper cites Pattern Recognition (6) (2014).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Pattern Recognition (6) (2014)

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.979671Z

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.

Observation 9fbc0013-b4d0-4216-9274-fef804d8b4ed · outbound

This paper cites Geoscientific Model Development Discussions 2022, 1–10 (2022).

From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Geoscientific Model Development Discussions 2022, 1–10 (2022)

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.918895Z

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.

Pith citing papers

Observation 145511d8-7445-4645-a5e3-c39f13a0d687 · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:19:42.818479Z

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.

Observation c74da11c-9c57-41f3-9e81-20f6c8cb0d88 · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:01.572627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf67b0c0-64ef-46cd-8fbe-0f950ec4d3ac · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:14.651284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5b3566b-d77b-4fe9-a1c1-298da717bb3e · inbound

Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages cites this paper.

Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.041033Z

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.

Observation e720ce4d-950e-4f97-a483-3d46118fe8bc · inbound

URDF Synthesis from RGB-D Sequences via Differentiable Joint Inference and Energy-Consistent Verification cites this paper.

URDF Synthesis from RGB-D Sequences via Differentiable Joint Inference and Energy-Consistent Verification From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:06.528170Z

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.

Observation 88d17aa1-fcac-4b2b-a331-6fc4964854f0 · inbound

Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation cites this paper.

Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:35:34.278591Z

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.