Paper Citation Record · LEDGER

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

As of 15 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2502.10405.

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

pith.paper-citation-record.v1
2502.10405 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:07:04.834947Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:04:15.663893Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:04:15.910226Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2d68322-e4ee-41ad-97fb-fd1b18cbbb46 · outbound

This paper cites Satellite -based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Satellite -based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:05.009402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 680a4fcb-0239-4107-ab35-c29678d1b547 · outbound

This paper cites Machine learning for large -scale crop yield forecasting[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Machine learning for large -scale crop yield forecasting[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.994084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5edb091-4266-444f-9e86-9029f1b31566 · outbound

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

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.977394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e83116f4-57c7-4669-9215-ca20b47153ae · outbound

This paper cites Applications of machine learning techniques in agricultural crop production: a review paper[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Applications of machine learning techniques in agricultural crop production: a review paper[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.964702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56cdf397-6fe0-4de5-a986-069c094d47c2 · outbound

This paper cites An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning[J]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.949375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c40b160e-4fcb-4145-8003-27f1b1b13a3c · outbound

This paper cites Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods[J]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.934399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b561f01a-c3e0-49ea-b706-4bed5fe07f4a · outbound

This paper cites Introduction to linear regression analysis[M].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Introduction to linear regression analysis[M]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.920173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cb53d4fb-ded7-463b-b843-1cfea6b8e0af · outbound

This paper cites Package ‘xgboost’[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Package ‘xgboost’[J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.906447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c40d6c9b-0552-4a6e-94bd-25ae675c1e40 · outbound

This paper cites Challenges in KNN classification[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Challenges in KNN classification[J]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.891021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f610076-7d78-49a9-b07a-4ef88474f8cc · outbound

This paper cites Decision tree methods: applications for classification and prediction[J].

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models Decision tree methods: applications for classification and prediction[J]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:07:04.872271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 3c5fd9e8-5448-4846-94a0-d2be503ad532 · inbound

A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector Retrieval cites this paper.

A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector Retrieval Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:04:15.970270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.