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Paper Citation Record · LEDGER

Farm-Level, In-Season Crop Identification for India

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2507.02972.

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

pith.paper-citation-record.v1
2507.02972 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:33:09.272216Z

measured 69 of 69 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

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External citation measurements

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Outbound references

Observation 8bdca8f5-3e87-41ba-84c4-08349eeb6272 · outbound

This paper cites Indian agriculture towards 2030, 1–7 (2022).

Farm-Level, In-Season Crop Identification for India Indian agriculture towards 2030, 1–7 (2022)

Reference 1

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Observation 4d7f0b54-b79b-4282-a8d4-a23a6fadd77f · outbound

This paper cites Food and Agriculture Organization (2020).

Farm-Level, In-Season Crop Identification for India Food and Agriculture Organization (2020)

Reference 2

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Observation 9655901c-770c-4db6-a3e2-a81fc3ee7dc6 · outbound

This paper cites Computers and Electronics in Agriculture 210, 107927 (2023).

Farm-Level, In-Season Crop Identification for India Computers and Electronics in Agriculture 210, 107927 (2023)

Reference 3

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Observation 16402ed4-535b-4e92-bc1f-46986d595c76 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 194, 250–266 (2022).

Farm-Level, In-Season Crop Identification for India ISPRS Journal of Photogrammetry and Remote Sensing 194, 250–266 (2022)

Reference 4

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Observation 15d30ab6-e70a-4a39-8f1f-f1166e20231c · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Farm-Level, In-Season Crop Identification for India In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 5

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Observation 15d4f660-c023-4d53-918a-24b87dd5e023 · outbound

This paper cites Remote Sensing 14(12), 2758 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing 14(12), 2758 (2022)

Reference 6

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Observation 89087d57-c5c9-418b-9249-11e5b566a593 · outbound

This paper cites Agricultural Systems 201, 103462 (2022).

Farm-Level, In-Season Crop Identification for India Agricultural Systems 201, 103462 (2022)

Reference 7

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Observation 42a18a5b-9b30-4e61-80fd-fbff8eb42c76 · outbound

This paper cites Remote Sensing 13(7), 1394 (2021).

Farm-Level, In-Season Crop Identification for India Remote Sensing 13(7), 1394 (2021)

Reference 8

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Observation da221bc6-825d-4caa-9de0-f0ef737b1271 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 161, 109–123 (2020).

Farm-Level, In-Season Crop Identification for India ISPRS Journal of Photogrammetry and Remote Sensing 161, 109–123 (2020)

Reference 9

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Observation bde1b1f3-7132-4965-a770-34a7500b6aa5 · outbound

This paper cites Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization.

Farm-Level, In-Season Crop Identification for India Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization

Reference 10

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Observation e5943b1f-c65b-4a64-a65c-ca663497e2c3 · outbound

This paper cites Remote Sensing of Environment 274, 112994 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 274, 112994 (2022)

Reference 11

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Observation c5f7f922-711f-4855-b722-1f3bbd0fd432 · outbound

This paper cites Frontiers in Plant Science 14 (2023).

Farm-Level, In-Season Crop Identification for India Frontiers in Plant Science 14 (2023)

Reference 12

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Observation 53dfc1af-20b1-4fce-a9cf-99dd357eab51 · outbound

This paper cites Remote Sensing 15(3), 799 (2023).

Farm-Level, In-Season Crop Identification for India Remote Sensing 15(3), 799 (2023)

Reference 13

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Observation 9ee03fc4-afbf-4f09-8c68-9bc1c87dd9c7 · outbound

This paper cites Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.

Farm-Level, In-Season Crop Identification for India Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

Reference 14

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Observation 6a64549d-69aa-4289-8e3a-105308729e66 · outbound

This paper cites Agronomy 13(7) (2023) https://doi.org/10.3390/agronomy13071723.

Farm-Level, In-Season Crop Identification for India Agronomy 13(7) (2023) https://doi.org/10.3390/agronomy13071723

Reference 15

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Observation d66e4ec3-7f62-4c7c-a08c-daa744e29292 · outbound

This paper cites On the Generalizability of Foundation Models for Crop Type Mapping.

Farm-Level, In-Season Crop Identification for India On the Generalizability of Foundation Models for Crop Type Mapping

Reference 16

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Observation dd92ef0b-414e-4743-b73e-052edf1d9758 · outbound

This paper cites Remote Sensing of Environment 264, 112603 (2021).

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 264, 112603 (2021)

Reference 17

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Observation c7b83bb3-5344-45e7-8915-05d3022a9bf5 · outbound

This paper cites Scientific Data 12(1), 664 (2025).

Farm-Level, In-Season Crop Identification for India Scientific Data 12(1), 664 (2025)

Reference 18

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Observation 7d10d04a-d299-484c-a8a4-800c04b3bbde · outbound

This paper cites BreizhCrops: A Time Series Dataset for Crop Type Mapping.

Farm-Level, In-Season Crop Identification for India BreizhCrops: A Time Series Dataset for Crop Type Mapping

Reference 19

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Observation d6345188-5a44-4301-9159-4ea68505c086 · outbound

This paper cites Remote sensing of Environment 202, 18–27 (2017).

Farm-Level, In-Season Crop Identification for India Remote sensing of Environment 202, 18–27 (2017)

Reference 20

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Observation 19b3206b-1786-4900-9b35-e86d18e22f42 · outbound

This paper cites Remote Sensing of Environment 210, 35–47 (2018) https://doi.org/10.1016/j.rse.2018.02.045.

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 210, 35–47 (2018) https://doi.org/10.1016/j.rse.2018.02.045

Reference 21

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Observation 6e560165-971c-4cac-b402-f19762f3ecfa · outbound

This paper cites Remote Sensing 7, 16091–16107 (2015) https://doi.

Farm-Level, In-Season Crop Identification for India Remote Sensing 7, 16091–16107 (2015) https://doi

Reference 22

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Observation 10f94c75-7ad8-4951-a939-b4d3989c9e8b · outbound

This paper cites Journal of Agricultural Meteorology 72, 1–11 (2016) https://doi.

Farm-Level, In-Season Crop Identification for India Journal of Agricultural Meteorology 72, 1–11 (2016) https://doi

Reference 23

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Observation 12696cc0-7bd3-48e6-9483-f719d0171e8d · outbound

This paper cites In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp.

Farm-Level, In-Season Crop Identification for India In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp

Reference 24

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Observation b6c7fba7-b584-4c49-b230-9794a083c975 · outbound

This paper cites In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.

Farm-Level, In-Season Crop Identification for India In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp

Reference 25

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Observation e995617b-bdb9-4803-ac3e-def18badc59a · outbound

This paper cites Remote sensing of environment 120, 9–24 (2012).

Farm-Level, In-Season Crop Identification for India Remote sensing of environment 120, 9–24 (2012)

Reference 26

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Observation 4445fb4e-42d9-4173-8b81-52e5c4f740ea · outbound

This paper cites Remote Sensing of Environment 269, 112831 (2022) https://doi.org/10.1016/j.rse.2021.112831.

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 269, 112831 (2022) https://doi.org/10.1016/j.rse.2021.112831

Reference 27

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8ab5bc8e-d89d-43eb-8657-f0bc76b11f67 · outbound

This paper cites International Journal of Remote Sensing 40(17), 6553–6595 (2019) https://doi.org/10.1080/01431161.

Farm-Level, In-Season Crop Identification for India International Journal of Remote Sensing 40(17), 6553–6595 (2019) https://doi.org/10.1080/01431161

Reference 28

Resolution
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e690f6cb-e449-4ae8-9d14-00109238354e · outbound

This paper cites In: Thirty-fifth Conference on Neural Infor- mation Processing Systems Datasets and Benchmarks Track (Round 2) (2021).

Farm-Level, In-Season Crop Identification for India In: Thirty-fifth Conference on Neural Infor- mation Processing Systems Datasets and Benchmarks Track (Round 2) (2021)

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bdd82aa4-bbe9-4c73-a30b-a219958a05d7 · outbound

This paper cites : Fields of the world: A machine learning benchmark dataset for global agricultural field boundary segmentation.

Farm-Level, In-Season Crop Identification for India : Fields of the world: A machine learning benchmark dataset for global agricultural field boundary segmentation

Reference 30

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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.

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Observation 8f4ac137-5817-49e0-a533-2c35594c3ca3 · outbound

This paper cites Geocarto International 26(5), 341–358 (2011) https://doi.org/10.

Farm-Level, In-Season Crop Identification for India Geocarto International 26(5), 341–358 (2011) https://doi.org/10

Reference 31

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Unavailable: canonical work link unavailable.

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Observation db631ad2-7321-4d09-a745-e8f49186ec70 · outbound

This paper cites In: AGU Fall Meeting Abstracts, vol.

Farm-Level, In-Season Crop Identification for India In: AGU Fall Meeting Abstracts, vol

Reference 32

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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.

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Observation 09f1d410-ca8e-4a21-8ef9-26c29330c46a · outbound

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

Farm-Level, In-Season Crop Identification for India In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 71199b27-7376-46e3-adb6-ef2ffd99f1b4 · outbound

This paper cites Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture.

Farm-Level, In-Season Crop Identification for India Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture

Reference 34

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local_arxiv, observed 2026-08-06T21:33:09.507743Z

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.

source=pdf_text observed=2026-08-06T21:33:07.378102Z digest=sha256:88d6a13e82e61f7c7743ce3037a2ba6b41eab263f86c57109423d3318d31a197

Observation d83394b6-9e0d-4835-99f8-9c8310c0c131 · outbound

This paper cites Remote Sensing 14(10), 2404 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing 14(10), 2404 (2022)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.052210Z

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.

source=pdf_text observed=2026-08-06T21:33:07.431086Z digest=sha256:5b4a764862193310fbbc18985d53d11f032ed7a2c04442ea72bae9e4d838ebb9

Observation 62fbccbe-f6bf-498e-a651-bbd7c4ee2349 · outbound

This paper cites International Journal of Remote Sensing 25 (2004) https://doi.org/10.1080/01431160310001619580.

Farm-Level, In-Season Crop Identification for India International Journal of Remote Sensing 25 (2004) https://doi.org/10.1080/01431160310001619580

Reference 36

Resolution
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doi, observed 2026-08-06T21:33:09.309296Z

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.

source=pdf_text observed=2026-08-06T21:33:07.552634Z digest=sha256:19f26827d9dd40b482754ff65504f9341515442ada592db32f4cf8145fdc1697

Observation fe321594-be80-431e-bd36-eb0fca3570cb · outbound

This paper cites Remote Sensing 16(24) (2024) https://doi.org/10.3390/rs16244620.

Farm-Level, In-Season Crop Identification for India Remote Sensing 16(24) (2024) https://doi.org/10.3390/rs16244620

Reference 37

Resolution
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doi, observed 2026-08-06T21:33:09.299951Z

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.

source=pdf_text observed=2026-08-06T21:33:07.722670Z digest=sha256:6e1991f286b2be0d071ca24c595747da1008d7126c0a5216b66743540d6709c3

Observation 5f88e4e5-3eba-4123-b17e-343ff07b932c · outbound

This paper cites Remote Sensing 16(1), 127 (2023).

Farm-Level, In-Season Crop Identification for India Remote Sensing 16(1), 127 (2023)

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.044577Z

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.

source=pdf_text observed=2026-08-06T21:33:07.922010Z digest=sha256:a16aceb881c1c7072ecd0a4fb2b52d1418594d90ee713bfeb88b3f903eff67dd

Observation 70ac39de-ad4b-4f62-b495-27d1ee76bb59 · outbound

This paper cites Remote sensing of environment 210, 12–24 (2018).

Farm-Level, In-Season Crop Identification for India Remote sensing of environment 210, 12–24 (2018)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.037036Z

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.

source=pdf_text observed=2026-08-06T21:33:08.059687Z digest=sha256:127dd37686ec7ff4275c4067264aa41d8abcbf60f474dbe183ed93aef0a44644

Observation f0f3284c-e294-40a7-b03e-8dcdde8719de · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 474–487 (2021) https://doi.org/10.1109/ JSTARS.2020.3036602.

Farm-Level, In-Season Crop Identification for India IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 474–487 (2021) https://doi.org/10.1109/ JSTARS.2020.3036602

Reference 40

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:33:08.205859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:08.205859Z digest=sha256:7089ad3ec86cddb9448ddff68d40e9072e769b37bdd2b351b65795ac60033552

Observation 05a5f2be-2249-44b7-9fec-a703a130504e · outbound

This paper cites Agricultural Landscape Understanding At Country-Scale.

Farm-Level, In-Season Crop Identification for India Agricultural Landscape Understanding At Country-Scale

Reference 41

Resolution
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no resolver link, observed 2026-08-06T21:33:08.358000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:08.358000Z digest=sha256:33fae19b885c3e1db7bf20feb662e62c300acc749fbd135b0c1988f53acf76c2

Observation f5abdfb9-9ddb-41b1-a378-b534269e2fbb · outbound

This paper cites http://s2geometry.io/resources/s2cell statistics.html.

Farm-Level, In-Season Crop Identification for India http://s2geometry.io/resources/s2cell statistics.html

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.029043Z

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.

source=pdf_text observed=2026-08-06T21:33:08.597668Z digest=sha256:ee1ab605e9a9f314bf28afe1ca7710d44b0da286bd7e913d9124ed3b93b4f50c

Observation 447c3893-e12e-459e-ac50-96696191b129 · outbound

This paper cites Attention Is All You Need.

Farm-Level, In-Season Crop Identification for India Attention Is All You Need

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:33:08.805542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:08.805542Z digest=sha256:b93e349d9667000919cd5ed4d393d9083aa97286bc00e2368eb5d5a41e1ff537

Observation c82bf6ec-04fd-46cc-9a48-409e85d53842 · outbound

This paper cites Multimodal Learning with Transformers: A Survey.

Farm-Level, In-Season Crop Identification for India Multimodal Learning with Transformers: A Survey

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T21:33:08.866234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:08.866234Z digest=sha256:8d37f4ac01d14b0d3df35de34bafbbd396a53daa25d5a2425cff6a9443082c92

Observation cbb88696-6075-4821-9a0b-e38867b93e16 · outbound

This paper cites Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.

Farm-Level, In-Season Crop Identification for India Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:33:08.948531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:08.948531Z digest=sha256:173c09e2af04a4c73f37f6fb880594d571a97fb3c1a59b33c400cceeb097ed1b

Observation 4e1a0e42-380f-4902-8a04-3a77196cb8cb · outbound

This paper cites Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Farm-Level, In-Season Crop Identification for India Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Reference 46

Resolution
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no resolver link, observed 2026-08-06T21:33:09.011540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:09.011540Z digest=sha256:0ee3ab13e43204e050319b16b112b5814eea0a327682c3e1404913251a2e626c

Observation d13188ee-e1b4-4a59-ba26-9201a6bd36e7 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Farm-Level, In-Season Crop Identification for India Masked Autoencoders Are Scalable Vision Learners

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:33:09.091505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:09.091505Z digest=sha256:d7246ee05a089c5c2c5d98f2dd34a1a83131297ef98bbdebd219677a03ba74f3

Observation a0b41a20-246b-4195-8c34-12a59722dac3 · outbound

This paper cites Journal of Applied Remote Sensing 15, 024513–024513 (2021).

Farm-Level, In-Season Crop Identification for India Journal of Applied Remote Sensing 15, 024513–024513 (2021)

Reference 48

Resolution
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raw_fallback, observed 2026-08-06T21:33:10.020647Z

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.

source=pdf_text observed=2026-08-06T21:33:09.193149Z digest=sha256:5908cc459f30656930e817c411167da7614d1398f8b5187d8bdbd3ed8c065ec4

Observation c3faa499-f195-426d-a251-1e8313bf1465 · outbound

This paper cites https://upag.gov.in/.

Farm-Level, In-Season Crop Identification for India https://upag.gov.in/

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.012401Z

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.

source=pdf_text observed=2026-08-06T21:33:09.200349Z digest=sha256:b71f26608d44696cc389d90b4a0c733893938cb4cee091c31fb163b266b4b1e4

Observation b9ce1043-cb43-46e6-a402-55f8d353a1cd · outbound

This paper cites Agronomy Journal 115(3), 1214–1236 (2023).

Farm-Level, In-Season Crop Identification for India Agronomy Journal 115(3), 1214–1236 (2023)

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:10.003474Z

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.

source=pdf_text observed=2026-08-06T21:33:09.216774Z digest=sha256:612fa55dc5647c7f2c9cded2c664ffcfd16b9a29ccb0d663ef4bcd0c0e5ace9b

Observation 00902d97-74a5-42ab-89eb-72399e2b8b4b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Farm-Level, In-Season Crop Identification for India Adam: A Method for Stochastic Optimization

Reference 51

Resolution
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no resolver link, observed 2026-08-06T21:33:09.220357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:09.220357Z digest=sha256:f08b7a455958d3ada3a0978e4d7a4680c1b0d2eb0da20fd96c4ed0cd25a318b7

Observation 84da3203-0d62-4321-915c-2fff56133a7e · outbound

This paper cites Focal Loss for Dense Object Detection.

Farm-Level, In-Season Crop Identification for India Focal Loss for Dense Object Detection

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:33:09.223098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:33:09.223098Z digest=sha256:3101ff79048b0ced935d168b65eaf5203e41270312916db44d39e4a944fba695

Observation 2272d69d-a01e-492a-92fb-a1ab5062321c · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.994271Z

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.

source=pdf_text observed=2026-08-06T21:33:09.227644Z digest=sha256:2f99375f84eaff0fe4cfe59fdd79a21f2a869e161513685ace9df92d15e8aa1b

Observation 8a347437-7804-4d8b-8969-89a9acbfe1f7 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.985772Z

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.

source=pdf_text observed=2026-08-06T21:33:09.230769Z digest=sha256:53f865bfa344c4d178c6ea75266842bf7bc9681a511052facce14b159d53d38a

Observation 0a5e00e4-0954-4222-a5e1-537c9f4d41eb · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.977448Z

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.

source=pdf_text observed=2026-08-06T21:33:09.233580Z digest=sha256:6aaa3992e3a11fdb51aca136938a58690a183e49b9681bb15554dbc91d354583

Observation 19ca522b-01d3-4225-b47d-6a49b1904d5a · outbound

This paper cites A.2 Crop Label Distribution Distribution of the labels is visualized in Fig.

Farm-Level, In-Season Crop Identification for India A.2 Crop Label Distribution Distribution of the labels is visualized in Fig

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.970015Z

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.

source=pdf_text observed=2026-08-06T21:33:09.236201Z digest=sha256:517bdec68191ed1bd34d95f8d683c8a3318a913d5587e5afaaebab7a62735872

Observation cdb2d41b-14eb-4105-ad97-096078480de8 · outbound

This paper cites We take the median per band across all locations in the field, similar to Sec.

Farm-Level, In-Season Crop Identification for India We take the median per band across all locations in the field, similar to Sec

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.961507Z

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.

source=pdf_text observed=2026-08-06T21:33:09.239052Z digest=sha256:84f7b00ffcefd5c02acb8ced6ee8871f3385705ce61a34af33981da7f90dae69

Observation 077a3a57-7ca2-4a19-8bb1-afb66bf8b8ec · outbound

This paper cites This is again a time- series.

Farm-Level, In-Season Crop Identification for India This is again a time- series

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.952685Z

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.

source=pdf_text observed=2026-08-06T21:33:09.242376Z digest=sha256:5c9a9ede5a6ab935c0d64f44aa92a99e5b7ea0c849665d48bde2b2df9560c47a

Observation 86b17097-8fba-4afd-b7b0-7c828b318695 · outbound

This paper cites We drop all NDVI values where the cs cdf band from CloudScore+ is < 0.6, as suggested in the CloudScore+ manual.

Farm-Level, In-Season Crop Identification for India We drop all NDVI values where the cs cdf band from CloudScore+ is < 0.6, as suggested in the CloudScore+ manual

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.943783Z

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.

source=pdf_text observed=2026-08-06T21:33:09.245179Z digest=sha256:5f1c661d66072a90dccdec9b0aa32ffa827096a4320bb5acedc3098c2f12410b

Observation 8dfcbe35-57d2-4621-877f-22a9204aa1aa · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.933621Z

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.

source=pdf_text observed=2026-08-06T21:33:09.247760Z digest=sha256:9a5bf954b0e4d74a21686c2d0e2cc457faa5a13854d033357d3085a64f95be6d

Observation 1e9a55ad-0a58-46c8-a58f-aa073d8fc307 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.924347Z

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.

source=pdf_text observed=2026-08-06T21:33:09.250449Z digest=sha256:9c9331e7444db12d53172f86568d4bbe924bdf817950a63c09fe9303b65f1bc2

Observation 051450c1-1381-42de-8639-3bc6ac5b6e82 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.914195Z

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.

source=pdf_text observed=2026-08-06T21:33:09.253218Z digest=sha256:c9607a10ef1b35ff07be8abbb3ca932a71588fb96cabf7372cd885e700a6e80c

Observation 8fb9057d-d175-42e3-ac0f-4df1e45de54b · outbound

This paper cites broadcasted.

Farm-Level, In-Season Crop Identification for India broadcasted

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.904733Z

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.

source=pdf_text observed=2026-08-06T21:33:09.255712Z digest=sha256:10963c199ec8363105129b14f0a8ca2366aa96ff9634719026251ac22b3a96db

Observation e43cdda5-529b-4b2d-9a8c-d5ca1599be5c · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.895414Z

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.

source=pdf_text observed=2026-08-06T21:33:09.258785Z digest=sha256:b1ca228d8b40a781c926e987bab747afe2c8eddfc593c034c7c8876c78a0da95

Observation 60f39640-bfe2-420a-bf76-631956e34b3e · outbound

This paper cites We use an ensemble of the three models evaluated in the 4.

Farm-Level, In-Season Crop Identification for India We use an ensemble of the three models evaluated in the 4

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.885438Z

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.

source=pdf_text observed=2026-08-06T21:33:09.261300Z digest=sha256:1da8ae3faede4b84500c5b3f39e01028f218b138232e1482908ef382c24a21d4

Observation 15794a68-1c62-46e3-a05b-b3443ad3e366 · outbound

This paper cites When the pipeline is run for date t, the models are given access to satellite signals from before date t only.

Farm-Level, In-Season Crop Identification for India When the pipeline is run for date t, the models are given access to satellite signals from before date t only

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.876226Z

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.

source=pdf_text observed=2026-08-06T21:33:09.264317Z digest=sha256:95c7bb96c4d43810b3592ac98068d20b07e40063391b460191dc79355af3ee16

Observation 4a6472c1-bcc8-4266-a050-7ad9c210586c · outbound

This paper cites Each prediction contains the season estimate.

Farm-Level, In-Season Crop Identification for India Each prediction contains the season estimate

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.867401Z

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.

source=pdf_text observed=2026-08-06T21:33:09.267279Z digest=sha256:118a900f77b22f229c810835b3d05a3446e7ac8b4950c8c1568084b530646ed7

Observation a88245d1-e78a-4b00-b31a-3f732f5ccf09 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:33:09.857263Z

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.

source=pdf_text observed=2026-08-06T21:33:09.269866Z digest=sha256:8c5eb193ee09a17a7a967cf83fe8551d01254b9f1cd91e74ec6c64fc158def93

Observation 6060a173-d623-49ce-aebf-6f8967e5bfa5 · outbound

This paper cites NaN” values for precision indicate that no predictions were made. “NaN.

Farm-Level, In-Season Crop Identification for India NaN” values for precision indicate that no predictions were made. “NaN

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:33:09.848274Z

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.

source=pdf_text observed=2026-08-06T21:33:09.272216Z digest=sha256:8513bda6474584de860a111cde4ff06678ec043d501fa66479fc05747feacc21

Pith citing papers

No inbound Pith citation observations are available.