Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T16:45:28.460006Z
Paper Citation Record · LEDGER
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series
As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.04548.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact1
- verified fuzzy32
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d3e9906a-f655-4693-a9ad-48c829a66399 · outbound
This paper cites Grapevine trunk diseases: a review of fifteen years of trials for their control with chemicals and biocontrol agents.Plant disease, 102(7):1189–1217.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Grapevine trunk diseases: a review of fifteen years of trials for their control with chemicals and biocontrol agents.Plant disease, 102(7):1189–1217
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.048244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8fe7c5e3-2830-4908-8d1c-8ce99066e66e · outbound
This paper cites River Publishers, 08 2023.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series River Publishers, 08 2023
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.043220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation acddceb7-78ac-4566-ac2e-5c8edf11a28b · outbound
This paper cites A systematic review on the advancements in remote sensing and proximity tools for grapevine disease detection.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series A systematic review on the advancements in remote sensing and proximity tools for grapevine disease detection
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.052906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28d37763-e5b1-4f7f-b269-f5b5d07a38fa · outbound
This paper cites Current trends and perspectives on predictive models for mildew diseases in vineyards.Microorganisms, 11(1):73.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Current trends and perspectives on predictive models for mildew diseases in vineyards.Microorganisms, 11(1):73
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.033736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 859efce8-4556-4915-ba73-43e4d56fbace · outbound
This paper cites Grapevine disease risk assessment through multi-modal data analysis.Smart Agricultural Technology, page 102040.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Grapevine disease risk assessment through multi-modal data analysis.Smart Agricultural Technology, page 102040
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.039165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation abf4bc53-5c3e-43d3-acda-95a9411deb37 · outbound
This paper cites Agentic ai-based iot precision agriculture framework—our vision and challenges.AgriEngineering, 8(4):147.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Agentic ai-based iot precision agriculture framework—our vision and challenges.AgriEngineering, 8(4):147
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.128224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af24dd47-2984-4906-9ec5-c78ce9f44798 · outbound
This paper cites Utilizing tabpfn transformer with iot environmental data for early prediction of grapevine diseases.AgriEngineer- ing, 7(6):173.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Utilizing tabpfn transformer with iot environmental data for early prediction of grapevine diseases.AgriEngineer- ing, 7(6):173
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:22:06.426218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 250e4a45-4c46-4f6b-bc0c-73257d45e430 · outbound
This paper cites Forecasting severe grape downy mildew attacks using machine learning.Plos one, 15(3):e0230254.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Forecasting severe grape downy mildew attacks using machine learning.Plos one, 15(3):e0230254
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.123555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3488b7c-4310-4264-823d-debe4d0dde2b · outbound
This paper cites Advanced forecasting modeling to early predict powdery mildew first appearance in different vines cultivars.Sustainability, 15(3):2837.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Advanced forecasting modeling to early predict powdery mildew first appearance in different vines cultivars.Sustainability, 15(3):2837
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.119103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86c89e80-3397-42e3-b38b-def435a84380 · outbound
This paper cites Detection of vineyard diseases using the internet of things technology and machine learning algorithms.Aerul si Apa.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Detection of vineyard diseases using the internet of things technology and machine learning algorithms.Aerul si Apa
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.095657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f64d583-bd90-4d6b-8916-76fadb870553 · outbound
This paper cites Realizing short-term disease forecasting in crops via multimodal monitoring with leaf-underside-sensing agricultural robot.Sensors & Materials, 37.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Realizing short-term disease forecasting in crops via multimodal monitoring with leaf-underside-sensing agricultural robot.Sensors & Materials, 37
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.101570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48416272-a81c-482e-8a9e-3188fe4a1e5e · outbound
This paper cites XGBoost: A scalable tree boosting system.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series XGBoost: A scalable tree boosting system
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.123830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67a6656d-11a5-4a56-b00a-cda1e6e406d9 · outbound
This paper cites The performance of LSTM and BiLSTM in forecasting time series.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series The performance of LSTM and BiLSTM in forecasting time series
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.085279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6fcd1cb0-5bdf-4882-8809-904256977030 · outbound
This paper cites Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station: P.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Temporal convolutional neural (tcn) network for an effective weather forecasting using time-series data from the local weather station: P
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.079196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af4b2e13-15d4-4cd6-931c-7b918724eac3 · outbound
This paper cites Adapting models to warn fungal diseases in vineyards using in-field internet of things (iot) nodes.Sustainability, 11(2):416.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Adapting models to warn fungal diseases in vineyards using in-field internet of things (iot) nodes.Sustainability, 11(2):416
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.104620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 30deb35d-8974-4531-bbd5-e70673afcbb7 · outbound
This paper cites Grapevine downy mildew warning system based on nb-iot and energy harvesting technology.Electronics, 11(3):356.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Grapevine downy mildew warning system based on nb-iot and energy harvesting technology.Electronics, 11(3):356
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.148837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8faccf19-4c76-48b3-8629-d6e0b04d5679 · outbound
This paper cites Predictive analysis and wine-grapes disease risk assessment based on atmospheric parameters and precision agriculture platform.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Predictive analysis and wine-grapes disease risk assessment based on atmospheric parameters and precision agriculture platform
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.118303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b3c908b-2754-4e3b-999a-b0ab78e1fb7a · outbound
This paper cites Semantic segmentation of remote sensing images: definition, methods, datasets and applications.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Semantic segmentation of remote sensing images: definition, methods, datasets and applications
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.041109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0841002f-cd8b-4fe6-a36b-f1996b390d5c · outbound
This paper cites Deep multimodal fusion for semantic segmentation of remote sensing earth.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Deep multimodal fusion for semantic segmentation of remote sensing earth
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.074646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b49fd3fb-deb4-4d0e-b1e8-991db801eb81 · outbound
This paper cites Forecasting plant and crop disease: an explorative study on current algorithms.Big Data and Cognitive Computing, 5(1):2.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Forecasting plant and crop disease: an explorative study on current algorithms.Big Data and Cognitive Computing, 5(1):2
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.108772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 163fd9d1-d28a-451f-983b-c0d3e1cd1a8e · outbound
This paper cites Predicting crop disease severity using real time weather variability through machine learning algorithms.Scientific Reports, 15(1):34767.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Predicting crop disease severity using real time weather variability through machine learning algorithms.Scientific Reports, 15(1):34767
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.032536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ba21913-75a5-4722-92e2-6b9aee8026ba · outbound
This paper cites A neural network approach for disease forecasting in grapes using weather parameters.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series A neural network approach for disease forecasting in grapes using weather parameters
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.061334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 575ad21d-6bfc-4adb-8bc5-22713965f5cd · outbound
This paper cites Iot based solution for grape disease prediction using convolutional neural network and farm monitoring.Int J Sci Res Eng Dev, 2:494–500.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Iot based solution for grape disease prediction using convolutional neural network and farm monitoring.Int J Sci Res Eng Dev, 2:494–500
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.069585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 740c20bd-38af-44c3-a292-20b40a180b96 · outbound
This paper cites Ai-based early warning system for disease forecasting in integrated aquaculture–agriculture systems.National Journal of Smart Agriculture and Rural Innovation, pages 19–27.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Ai-based early warning system for disease forecasting in integrated aquaculture–agriculture systems.National Journal of Smart Agriculture and Rural Innovation, pages 19–27
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.036999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1d25fb8a-7120-4c94-9ca9-b43460df973d · outbound
This paper cites Harnessing lstm for climate-sensitive precision agriculture: Predicting rice blast disease expansion.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Harnessing lstm for climate-sensitive precision agriculture: Predicting rice blast disease expansion
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.079676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 903a9efe-8448-498b-8686-a478ed6d8a18 · outbound
This paper cites Ai based hybrid cnn-lstm model for crop disease prediction: An ml advent for rice crop.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Ai based hybrid cnn-lstm model for crop disease prediction: An ml advent for rice crop
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.113252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2a1b73b-fbde-40ef-82a1-08f440e8c79e · outbound
This paper cites Scalable crop yield prediction with sentinel-2 time series and temporal convolutional network.Remote Sensing, 14(17):4193.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Scalable crop yield prediction with sentinel-2 time series and temporal convolutional network.Remote Sensing, 14(17):4193
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.015157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 47ccb80a-0824-4064-ac46-a0242e485217 · outbound
This paper cites Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:01:07.256350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d6afb97-5b4f-4a7e-818b-ff8e302334a1 · outbound
This paper cites Climate-based prediction of rice blast disease using count time series and machine learning approaches.AgriEngineering, 6(4):4353–4371.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Climate-based prediction of rice blast disease using count time series and machine learning approaches.AgriEngineering, 6(4):4353–4371
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.061979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7c19d3a-e4b8-403e-acd1-f2f3e29282a4 · outbound
This paper cites Early prediction on time series: A nearest neighbor approach.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Early prediction on time series: A nearest neighbor approach
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.084944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f1ceb94-aa61-4cfc-a18c-2f609c2c8a83 · outbound
This paper cites Teaser: early and accurate time series classification.Data mining and knowledge discovery, 34(5):1336–1362.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Teaser: early and accurate time series classification.Data mining and knowledge discovery, 34(5):1336–1362
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.132598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e428d612-2f8c-4130-b7c2-352473a276fb · outbound
This paper cites Temporal label smoothing for early event prediction.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series Temporal label smoothing for early event prediction
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.138393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a507079e-4404-4b89-be1d-77ac25215220 · outbound
This paper cites When is early classification of time series meaningful?IEEE Transactions on Knowledge and Data Engineering, 35(3):3253–3260.
Event-Based Early Warning of Vineyard Disease Risk from Environmental Time Series When is early classification of time series meaningful?IEEE Transactions on Knowledge and Data Engineering, 35(3):3253–3260
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T09:17:34.143462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.