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Paper Citation Record · LEDGER

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2411.16989.

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

pith.paper-citation-record.v1
2411.16989 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:22.460387Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:42.350503Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:36:43.794743Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact4
  • verified fuzzy46
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d39bf309-2278-42d7-b028-a014d3564eab · outbound

This paper cites Jiang and K.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Jiang and K

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65af187a-b448-4ddf-a0ac-0986871dbdf5 · outbound

This paper cites Impact of meteorological drivers on regional inter-annual crop yield variability in france.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Impact of meteorological drivers on regional inter-annual crop yield variability in france

Reference 2

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verified exact
doi, observed 2026-08-12T12:44:22.548809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9e455c5-cb85-495f-8ee0-ca8e4100c67d · outbound

This paper cites Ford, Shuaib Lwasa, Benon Nabaasa, and Ambrose Buyinza.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Ford, Shuaib Lwasa, Benon Nabaasa, and Ambrose Buyinza

Reference 3

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doi, observed 2026-08-12T12:44:22.533100Z

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Observation aa471fdc-0080-4f1c-b6d9-25815f0be3e7 · outbound

This paper cites Unpacking the climatic drivers of US agricultural yields.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Unpacking the climatic drivers of US agricultural yields

Reference 4

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verified exact
doi, observed 2026-08-12T12:44:22.516566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3b3ea0e8-cc3e-4209-8da8-8c38ab721965 · outbound

This paper cites Chaloner, Sarah J.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Chaloner, Sarah J

Reference 5

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verified exact
doi, observed 2026-08-12T12:44:22.499138Z

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Observation ac8a7cd2-36b2-496c-8eeb-293f1b6731ee · outbound

This paper cites an unresolved cited work.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation e1174c18-a36a-4c1b-a500-17dd747439ec · outbound

This paper cites A computer vision system for early stage grape yield estimation based on shoot detection.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A computer vision system for early stage grape yield estimation based on shoot detection

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 39d134ef-fc6a-42bb-b41f-d0f0ed520886 · outbound

This paper cites Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using fully convolutional networks.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using fully convolutional networks

Reference 8

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7299a910-0e80-49b6-b479-a0c8f37d676a · outbound

This paper cites Improving jujube fruit tree yield estimation at the field scale by assimilating a single landsat remotely-sensed lai into the wofost model.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Improving jujube fruit tree yield estimation at the field scale by assimilating a single landsat remotely-sensed lai into the wofost model

Reference 9

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Observation f39090aa-d494-4dd2-b65f-dce32dc3bc2f · outbound

This paper cites Methods of crop estimation in grapes.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Methods of crop estimation in grapes

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5b7f93c2-5414-4008-ac07-0bbc4fb33633 · outbound

This paper cites Detection and counting of on-tree citrus fruit for crop yield estimation.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Detection and counting of on-tree citrus fruit for crop yield estimation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e1aa7026-2319-4bb1-ad27-5382af2323df · outbound

This paper cites Rice crop yield prediction using artificial neural networks.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Rice crop yield prediction using artificial neural networks

Reference 12

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 365e2bda-ae60-426e-9ff9-752faad01d99 · outbound

This paper cites Daily mapping of 30 m lai and ndvi for grape yield prediction in california vineyards.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Daily mapping of 30 m lai and ndvi for grape yield prediction in california vineyards

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 02d00ef6-7144-4cb1-9c78-2c3fed8b45b6 · outbound

This paper cites A precision viticulture uav-based approach for early yield prediction in vineyard.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A precision viticulture uav-based approach for early yield prediction in vineyard

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.259436Z digest=sha256:434fce318352b721ab68df4fb217f4a6f13ba2e2738c0ec5339fb94fb4816044

Observation b9271b29-af69-4ad1-aba3-0441e6cc765d · outbound

This paper cites Liu and M.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Liu and M

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7adc0068-e8b5-4568-b525-9e5bea7a52b2 · outbound

This paper cites Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5e25fbbf-49cb-4e49-9cb4-480a622ef6a1 · outbound

This paper cites A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 862cf6ff-c302-4a2a-b7c6-4654522a4765 · outbound

This paper cites Soybean yield estimation and its components: A linear regression approach.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Soybean yield estimation and its components: A linear regression approach

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a6fa2133-daba-4315-92fc-9feb6cf85b23 · outbound

This paper cites Relationship between modis derived ndvi and yield of cereals for selected european countries.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Relationship between modis derived ndvi and yield of cereals for selected european countries

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.281973Z digest=sha256:14b0568cf1ae22ae7912e598026fc1964358a84d6c7752b77120c043d719e380

Observation 1e748eb4-221d-4d55-8547-2af42da13e96 · outbound

This paper cites Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of uav and ground-based geophysical imagery.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of uav and ground-based geophysical imagery

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f65034c8-f845-4b24-8ca1-a6bbfd8aa0da · outbound

This paper cites High-resolution crop yield and water productivity dataset generated using random forest and remote sensing.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers High-resolution crop yield and water productivity dataset generated using random forest and remote sensing

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.291533Z digest=sha256:502b9b685ab25a18730c59f27aa55216c5b5757e96f23adee45c6cb2997277f0

Observation 890b67f0-1ce6-43b7-9bd4-299dc9deb123 · outbound

This paper cites Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.296064Z digest=sha256:faab88569565d84a3aef746fb411fdd8e13bb948a08cebe0d07d8b7a2b2daadf

Observation 95a8e77b-bbca-48e8-a004-33bfd335bf92 · outbound

This paper cites An overview of APSIM, a model designed for farming systems simulation.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers An overview of APSIM, a model designed for farming systems simulation

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 79d2f998-e194-4ad2-bbca-6f06289861dc · outbound

This paper cites A cnn-rnn framework for crop yield prediction.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A cnn-rnn framework for crop yield prediction

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.305336Z digest=sha256:5cab3bcbaa99ded698a88b72f7d9ccbc4d169c77297829a88b61798e33dcc069

Observation 8ac078c4-c40e-4e0a-852e-48f135d2a0b0 · outbound

This paper cites Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a4dd8a09-1121-41b9-b3ea-215eb5631958 · outbound

This paper cites A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the us corn belt.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the us corn belt

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9af6d059-1bce-439d-bcd0-ba2ed9b6567a · outbound

This paper cites Deep learning.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Deep learning

Reference 27

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unresolved
no resolver link, observed 2026-08-12T12:44:22.319219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:44:22.319219Z digest=sha256:86e2b2eba1b2a93f6bbf138bbac1002f8274cce6441402442d91dac1f57a00c8

Observation be0d52dd-e36d-4354-a9a7-baf09e4d9324 · outbound

This paper cites Convolutional image captioning.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Convolutional image captioning

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.323795Z digest=sha256:b0c80d5a4523ea62105b886af93ade01b571e896ba8be55e04be22b9169253cd

Observation caa58059-0eda-4f21-8e30-1730090ae653 · outbound

This paper cites Cropharvest: A global dataset for crop-type classification.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Cropharvest: A global dataset for crop-type classification

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.333861Z digest=sha256:c0b708938394c5683b51d59dcfdb6462e0c5a6c933a4a019a0e94fafbe12ca89

Observation dee1364a-d6df-4cb6-806e-6222bb4a0c22 · outbound

This paper cites A gnn-rnn approach for harnessing geospatial and temporal information: application to crop yield prediction.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A gnn-rnn approach for harnessing geospatial and temporal information: application to crop yield prediction

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.338562Z digest=sha256:54bff78a7d9792709e0202b672b8418ef80e12fc03335f8852c9bccd9169a3fe

Observation 09173791-0972-4d72-b684-ceebf40de843 · outbound

This paper cites Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vision transformer.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vision transformer

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.343116Z digest=sha256:33ecf5274ef1b6828373b336ee0df7893d8faeeb676da5a67dc1c871c7fb1d94

Observation 410f6602-dfae-4cb3-85d8-48f736c0799f · outbound

This paper cites Multimodal performers for genomic selection and crop yield prediction.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Multimodal performers for genomic selection and crop yield prediction

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.347494Z digest=sha256:7b6c937fb910bc783710ac7782809651f073fee6486b02cd62852392f640f0e3

Observation 4d58aede-c8a9-4740-9256-e246d1abd734 · outbound

This paper cites Crop disease identification and interpretation method based on multimodal deep learning.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Crop disease identification and interpretation method based on multimodal deep learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:23.013426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.352042Z digest=sha256:d674a4a896e72b864082779af57efceb77ce9188c7d65e533ddc25f80a464906

Observation 45f54440-b0e5-4aa3-a72a-168d3cc1d77f · outbound

This paper cites Accurate prediction of sugarcane yield using a random forest algorithm.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Accurate prediction of sugarcane yield using a random forest algorithm

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.998259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.357071Z digest=sha256:8bf06093fa0b154ae475206e080c75dac0d0dbb1ee3784afab0ec6fe4fd49505

Observation 6213d34c-0c2b-4970-a9be-bfe4b3dade74 · outbound

This paper cites Crop yield prediction in cotton for regional level using random forest approach.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Crop yield prediction in cotton for regional level using random forest approach

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.361874Z digest=sha256:23ad2321196abbc66d1fab2dde166ffe9e95d5f29e3126e540c3bfdfda40a9c8

Observation e7bee8a4-4e58-43e6-82c8-7aeaed60d668 · outbound

This paper cites Winter wheat yield prediction in the conterminous united states using solar-induced chlorophyll fluorescence data and xgboost and random forest algorithm.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Winter wheat yield prediction in the conterminous united states using solar-induced chlorophyll fluorescence data and xgboost and random forest algorithm

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.968406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.367064Z digest=sha256:c0da2850e775a18f10a19fa752695c6e724db5114070a58af5ee744898b7bc52

Observation 05c5c594-3201-4f84-b625-e3c94ae48cdd · outbound

This paper cites Crop yield prediction using machine learning models: Case of irish potato and maize.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Crop yield prediction using machine learning models: Case of irish potato and maize

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.952590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.371888Z digest=sha256:9c41d622be39909af93a69f8e7d4b16b6c5b860b818c0f4c843b104193672c96

Observation d75dbed0-593b-4fe8-97ab-079ad43c68c7 · outbound

This paper cites Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.935297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.376756Z digest=sha256:12590a5f420fb6a53454f54f6fb16d2766020b864655cb4d804a9f34881d0d7e

Observation 16c98cb0-049e-430e-adbb-fdb567fd8772 · outbound

This paper cites Comparison of planetscope, sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Comparison of planetscope, sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.919402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.381378Z digest=sha256:20dd1542024bca457323b997dc5e3985c38efb9a9ac0f55bf7938094ae73f0f2

Observation 1b98e264-4525-44d9-ad1f-616221b1c9e1 · outbound

This paper cites A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.903915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.386091Z digest=sha256:f36212d29e8f128a1eea4f5832a02a9af97eb9ee067b80ee94fa032e33524a35

Observation 202ea09d-9933-4fe1-b069-18ed4715d364 · outbound

This paper cites Crop prediction using artificial neural network and support vector machine.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Crop prediction using artificial neural network and support vector machine

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.888656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.390808Z digest=sha256:3bba62c172ed629085a5f8ffa3427dcfd91aa54f18bf6123cd61b0cad21f192c

Observation db83eff3-486b-4c83-8b9b-73ad9e6e32a0 · outbound

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

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T12:44:22.395284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:44:22.395284Z digest=sha256:26e24fa10c8d57376bab14d4ba556f79003929a9c9d06c216bbc15e8b6238101

Observation 3ac3c3d6-1c7d-4b6b-be7b-725b07efe17d · outbound

This paper cites Integration of acoustic and visual speech signals using neural networks.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Integration of acoustic and visual speech signals using neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.873093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.399921Z digest=sha256:4551c7e43f1b6d3b9c22dd67772df0c2f304405b43b59bf11b04726aadd82271

Observation 3942f701-c4b3-4691-9bad-0dd1c360ae53 · outbound

This paper cites Attention is all you need.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Attention is all you need

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T12:44:22.404818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:44:22.404818Z digest=sha256:a6e9adb2ef348da77a7e5a8527ccf2f2f7416c5629779c97b483a1d2252f570b

Observation b9481e63-29b3-494a-8113-d12222c611c3 · outbound

This paper cites Soybean yield prediction from uav using multimodal data fusion and deep learning.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Soybean yield prediction from uav using multimodal data fusion and deep learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.847690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.409306Z digest=sha256:9f75ba2d918ad4eae954a9ef1e467add9597464999bce86e6088ba2dfb00a4ed

Observation 803d0e93-9cf8-4331-b205-952b615bfb7a · outbound

This paper cites A generalized multimodal deep learning model for early crop yield prediction.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A generalized multimodal deep learning model for early crop yield prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.833005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.413648Z digest=sha256:e98102b021f5b9d74fcb6af4b2d227a949909c206ec9ab7a411b03b85cf407ce

Observation 4fb1f0af-02a2-44e1-9c7f-d9fa6fa10659 · outbound

This paper cites Multimodal deep learning for rice yield prediction using uav-based multispectral imagery and weather data.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Multimodal deep learning for rice yield prediction using uav-based multispectral imagery and weather data

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.817929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.418296Z digest=sha256:6fd194863a02ecce5ff2e2183bdc4d8f70268b2c6f85a69b3d0825222a72c5d8

Observation f1e34abc-1885-4029-9ce9-7c82343eeb7a · outbound

This paper cites A multimodal data fusion and deep neural networks based technique for tea yield estimation in pakistan using satellite imagery.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A multimodal data fusion and deep neural networks based technique for tea yield estimation in pakistan using satellite imagery

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.802448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.422974Z digest=sha256:581e446842e0c1b8c8fb248ff4f593cd309be1c94d3ed0df49273a384e10e0eb

Observation 6f4d5372-cdeb-4be9-ad87-f975d6b026ce · outbound

This paper cites Gpt-3.5 tokenizer.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Gpt-3.5 tokenizer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.787676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.427572Z digest=sha256:d94ffb02d6b387f5c4402f55e6a48f02a4099f749e23800d39be432e059e144c

Observation b61c7792-3b61-4f13-a947-3841ec86e3ae · outbound

This paper cites Sentinel 2 data.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Sentinel 2 data

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.771984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.432067Z digest=sha256:c2e044b3e1f5537def20771ae7342e2ce05d6d5150ff5a1767a49265b121d8ae

Observation 6f1af335-aab1-432d-b8c3-d5a20c5526ec · outbound

This paper cites Google earth engine: Planetary-scale geospatial analysis for everyone.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Google earth engine: Planetary-scale geospatial analysis for everyone

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.755758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.436803Z digest=sha256:15f4e5aad0d97e548b63cbeafca7c832eef82726a4b1a31af54d6f868e2b7f23

Observation 55720f57-5d6e-47d0-a7a0-41809a8dd166 · outbound

This paper cites The libradtran software package for radiative transfer calculations-description and examples of use.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers The libradtran software package for radiative transfer calculations-description and examples of use

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.740958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.441775Z digest=sha256:91f03963ca9b74881a42796cd4822a339db8829405fa1e4ac8febe66d7749c9d

Observation 52465770-392e-40c4-891c-340bac9f4088 · outbound

This paper cites A non-local algorithm for image denoising.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A non-local algorithm for image denoising

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.725424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.446546Z digest=sha256:a4532dac2e5ef311ed53a46725be77eb503b77295b2cb0dc3b66479c3def0d04

Observation 0bc1aef3-d82f-4623-b08b-a628502d9f18 · outbound

This paper cites Thornton, R.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Thornton, R

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.709917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.451207Z digest=sha256:225e128a205058ce4f495920bee7f305a7438c1daa74d4e6fb07ae2936c137ff

Observation 38b0afa8-9e22-46c6-8611-f637d1c5010c · outbound

This paper cites Decoupled Weight Decay Regularization.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Decoupled Weight Decay Regularization

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T12:44:22.455673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:44:22.455673Z digest=sha256:338530d34ba5dbad95717f93b2b1d967c268b963effb58e3dda6f95bc1d6762a

Observation 7f13e49b-6384-4d85-b609-83e7a39ea3d5 · outbound

This paper cites Predicting crop yield lows through the highs via binned deep imbalanced regression.

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Predicting crop yield lows through the highs via binned deep imbalanced regression

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:44:22.694528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T12:44:22.460387Z digest=sha256:c00c32ff5983e070e05c612257d9aaa0e2cc6e4c083fc5ac20eaea6cb0fa1af6

Pith citing papers

Observation 43fe02b4-c229-4fc7-accc-d99d530a198c · inbound

California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops cites this paper.

California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:36:43.869500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T04:36:42.350503Z digest=sha256:2a4113877a90689172dd93e30c3fca98d8caf03654f811c9bebc50fc9ffcd8a6