Paper Citation Record · LEDGER

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.05979.

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

pith.paper-citation-record.v1
2608.05979 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:00:29.542805Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact6
verified fuzzy12
unresolved12
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef552763-dae0-4be3-a674-7b7e6b0e8fdf · outbound

This paper cites IEEE Trans.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality IEEE Trans

Reference 1

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Observation a8f7c5e1-6994-4ddc-8760-190473c56e68 · outbound

This paper cites In: IEEE/CVF Conf.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: IEEE/CVF Conf

Reference 2

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Observation f5904f25-a313-4f64-9907-b1f468dae7ce · outbound

This paper cites In: IEEE Int.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: IEEE Int

Reference 3

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Observation 9a531e3f-320b-4673-be7b-0d6e64ba8ad4 · outbound

This paper cites Scientific Data9, 251 (2022).https://doi.org/10.1038/s41597-022-01307-4.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Scientific Data9, 251 (2022).https://doi.org/10.1038/s41597-022-01307-4

Reference 4

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Observation a04b2623-e8d4-4f04-84de-67d2ebddeff2 · outbound

This paper cites In: Proc.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: Proc

Reference 5

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Observation 6f49acc4-775d-48ac-b573-1eafefdc24c7 · outbound

This paper cites In: NeurIPS (2022).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: NeurIPS (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:00:46.142592Z

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Observation 9300b673-0f51-4a48-a5a5-eaa23e32623f · outbound

This paper cites Document Code D1.12, CLMS (2025).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Document Code D1.12, CLMS (2025)

Reference 7

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Observation 55ab3384-1f5e-4985-bf41-29108fe76a1f · outbound

This paper cites Document Code D1.2, CLMS (2025).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Document Code D1.2, CLMS (2025)

Reference 8

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Observation 2fa949ef-7eaf-47f1-8b63-9252b2b7b246 · outbound

This paper cites In: CVPR (2019).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: CVPR (2019)

Reference 9

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Observation ddd4d84d-d499-4909-a230-5e3530ece030 · outbound

This paper cites Remote Sensing of Environment266, 112416 (2021).https://doi.org/10.1016/j.rse.2021.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Remote Sensing of Environment266, 112416 (2021).https://doi.org/10.1016/j.rse.2021

Reference 10

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Observation 1273cc0d-d82b-444c-bb42-a3d08745f938 · outbound

This paper cites TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation

Reference 11

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Observation 5e879526-f529-4a8d-9bfe-2b37e9ce84a5 · outbound

This paper cites In: Advanced Analytics and Learning on Temporal Data (AALTD), ECML PKDD Workshop (2020) 16 S.R.Ali Shah et al.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: Advanced Analytics and Learning on Temporal Data (AALTD), ECML PKDD Workshop (2020) 16 S.R.Ali Shah et al

Reference 12

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Observation 1fbd584f-f6a5-44ec-8c4a-e57396badc05 · outbound

This paper cites In: ICCV (2021).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: ICCV (2021)

Reference 13

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Observation a5d3081e-b8cb-49a7-b87a-f6f23dc160f9 · outbound

This paper cites Photogrammetric En- gineering & Remote Sensing86(7), 431–441 (2020).https://doi.org/10.14358/ PERS.86.7.431.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Photogrammetric En- gineering & Remote Sensing86(7), 431–441 (2020).https://doi.org/10.14358/ PERS.86.7.431

Reference 14

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Observation 34909ef6-7633-4d47-b6fb-115bcd495749 · outbound

This paper cites Entity Embeddings of Categorical Variables.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Entity Embeddings of Categorical Variables

Reference 15

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Observation aef64e06-8e4f-4611-bc4f-7e20440a165d · outbound

This paper cites In: NeurIPS Deep Learning Workshop (2015).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: NeurIPS Deep Learning Workshop (2015)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:00:46.036365Z

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Observation 5acad382-8b5b-46c9-80b6-50fa0f61f2d5 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 17

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This paper cites In: ICCV (2017).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: ICCV (2017)

Reference 18

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Observation b0efe11d-199d-4563-bcb3-934fd31453a2 · outbound

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Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Unresolved cited work

Reference 19

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Observation 0541a8a7-5518-4190-b925-9eefd5b7d04c · outbound

This paper cites Remote Sensing11(5), 523 (2019).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Remote Sensing11(5), 523 (2019)

Reference 20

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Observation 3c87c26d-2642-4ddb-8ef5-7f25d649798f · outbound

This paper cites Remote Sensing13(22), 4599 (2021).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Remote Sensing13(22), 4599 (2021)

Reference 21

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Observation 80e547eb-bc46-429b-bdb3-45ee115e11f5 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing169, 421–435 (2020).https://doi.org/10.1016/j.isprsjprs.2020.06.006.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality ISPRS Journal of Photogrammetry and Remote Sensing169, 421–435 (2020).https://doi.org/10.1016/j.isprsjprs.2020.06.006

Reference 22

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Observation e55f69c8-3af6-4e90-ae78-afd20f8a9936 · outbound

This paper cites In: ISPRS Congress (2020).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: ISPRS Congress (2020)

Reference 23

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Observation 5c15230d-4bd6-4062-a4a0-433e357dda1e · outbound

This paper cites Scientific Data10, 612 (2023).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Scientific Data10, 612 (2023)

Reference 24

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Observation 9c985678-6d2e-4f39-b621-1a14902738a4 · outbound

This paper cites Journal of Spatial Science69(3), 849–872 (2024).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Journal of Spatial Science69(3), 849–872 (2024)

Reference 25

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Observation 44f94ff8-4edf-4414-ae07-439fd91dd0b3 · outbound

This paper cites Earth System Science Data15, 5491–5515 (2023).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Earth System Science Data15, 5491–5515 (2023)

Reference 26

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This paper cites In: NeurIPS Workshop on Tackling Climate Change with Machine Learning (2023).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: NeurIPS Workshop on Tackling Climate Change with Machine Learning (2023)

Reference 27

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This paper cites In: NeurIPS (2017).

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: NeurIPS (2017)

Reference 28

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Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Unresolved cited work

Reference 29

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Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality Unresolved cited work

Reference 30

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Observation bcf4114e-4915-476a-bf03-175b9fc66476 · outbound

This paper cites In: Proc.

Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality In: Proc

Reference 31

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T20:00:36.008893Z

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.

Pith citing papers

No inbound Pith citation observations are available.