Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T04:32:48.715088Z
Paper Citation Record · LEDGER
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
As of 6 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.23478.
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 2026-08-05T06:32:48.257954+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
47 of 47 outbound references displayed
- verified exact6
- verified fuzzy36
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9292f798-ea38-4c09-89cb-6d59f43b8b45 · outbound
This paper cites Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Deep density estimation based on multi-spectral remote sensing data for in-field crop yield forecasting
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.930595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dad2ad0c-3fcf-4ec0-8940-98c083f5f8b0 · outbound
This paper cites Random forests.Machine learning, 45(1): 5–32.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Random forests.Machine learning, 45(1): 5–32
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.934465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b646f2a7-7e37-4b66-be02-d1a410097abb · outbound
This paper cites Target-aware yield prediction (tayp) model used to improve agriculture crop productivity.IEEE Transactions on Geoscience and Remote Sensing, 62:1–11.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Target-aware yield prediction (tayp) model used to improve agriculture crop productivity.IEEE Transactions on Geoscience and Remote Sensing, 62:1–11
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.881780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36893b6c-45e4-4695-ad05-53d9b89bdabb · outbound
This paper cites Xgboost: A scalable tree boosting system.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Xgboost: A scalable tree boosting system
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.899937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2543d7d5-897b-480b-91a9-21770c413b64 · outbound
This paper cites Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.Advances in Neu- ral Information Processing Systems, 35:197–211.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.Advances in Neu- ral Information Processing Systems, 35:197–211
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.873889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77722f0f-5bbc-4cfa-83b7-7112ba3bccd2 · outbound
This paper cites One-dm: One-shot diffusion mimicker for handwritten text generation.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction One-dm: One-shot diffusion mimicker for handwritten text generation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.945589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c431f1fd-a466-4aa9-b3b3-a89fca5cfb03 · outbound
This paper cites Vg-sam: Visual in-context guided sam for universal medical image segmentation.Fractal and Frac- tional, 9(11):722.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Vg-sam: Visual in-context guided sam for universal medical image segmentation.Fractal and Frac- tional, 9(11):722
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.941689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d71f395-478b-40c1-91a7-612a3d610a0a · outbound
This paper cites Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:35:21.100516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 501707ca-4843-46dd-8bc4-03a24d2354c2 · outbound
This paper cites A gnn-rnn approach for harnessing geospa- tial and temporal information: application to crop yield pre- diction.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction A gnn-rnn approach for harnessing geospa- tial and temporal information: application to crop yield pre- diction
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.856043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da5f87e8-0553-4dfd-a32d-42abd5cd5084 · outbound
This paper cites Enhancing crop segmentation in satellite image time-series with transformer networks.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Enhancing crop segmentation in satellite image time-series with transformer networks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.937898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b1ad35cc-a483-4dd6-9f2e-14e295cc4eac · outbound
This paper cites Red fox optimization with ensemble recurrent neural network for crop recommendation and yield prediction model.Multimedia Tools and Applica- tions, 83(5):13159–13179.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Red fox optimization with ensemble recurrent neural network for crop recommendation and yield prediction model.Multimedia Tools and Applica- tions, 83(5):13159–13179
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.907466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc6611b6-3e2c-4414-aa59-9cf0f679c951 · outbound
This paper cites an unresolved cited work.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T13:27:00.850956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b9df4db-51bb-4ce3-b71b-4f74ca194eda · outbound
This paper cites Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Skysense: A multi-modal remote sensing foundation model towards universal interpretation for earth observation imagery
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.863572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f3bda80-2b89-478c-b73f-ed054a97d62b · outbound
This paper cites Physics guided neural networks for time-aware fairness: an application in crop yield prediction.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Physics guided neural networks for time-aware fairness: an application in crop yield prediction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.867946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7054258-3c5c-48ce-8159-78f0be87f691 · outbound
This paper cites An operational approach to large-scale crop yield prediction with spatio-temporal ma- chine learning models.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction An operational approach to large-scale crop yield prediction with spatio-temporal ma- chine learning models
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.988016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ddb512b-9851-467c-8bf1-e35ed45d4b32 · outbound
This paper cites Spectralgpt: Spectral remote sensing foun- dation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5227–5244.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Spectralgpt: Spectral remote sensing foun- dation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5227–5244
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.963578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4061706e-00b3-477a-afc4-7cb14322bfa9 · outbound
This paper cites Impact of future cli- mate trend and fluctuation on winter wheat yield in the north china plain and adaptation strategies.Scientific Reports, 15 (1):21882.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Impact of future cli- mate trend and fluctuation on winter wheat yield in the north china plain and adaptation strategies.Scientific Reports, 15 (1):21882
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.846342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1560db0-aecd-4664-9ee6-1683b647e5d0 · outbound
This paper cites Random forests for global and regional crop yield predictions.PloS one, 11(6):e0156571.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Random forests for global and regional crop yield predictions.PloS one, 11(6):e0156571
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.914476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4dc93ebb-691b-4b5f-8d2f-33a3f8a11f46 · outbound
This paper cites an unresolved cited work.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T13:27:00.984236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0490f7ff-68ce-42e2-970d-786779e8a818 · outbound
This paper cites an unresolved cited work.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T13:27:00.834964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a0c9fa8-6435-4ee5-8d69-10cb7ec4348c · outbound
This paper cites A generalized multimodal deep learning model for early crop yield prediction.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction A generalized multimodal deep learning model for early crop yield prediction
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.949497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 554c8084-1eaa-4d1e-8dd7-ee531967288a · outbound
This paper cites A cnn-rnn framework for crop yield prediction.Frontiers in Plant Science, 10:1750.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction A cnn-rnn framework for crop yield prediction.Frontiers in Plant Science, 10:1750
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.968443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ee023c3-2689-421f-9c36-9177ef04a0c4 · outbound
This paper cites Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning.Scientific Reports, 11(1):11132.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning.Scientific Reports, 11(1):11132
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.894531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 271bb7b0-197f-4b0d-89c1-0751435f86f8 · outbound
This paper cites Mmst-vit: Climate change- aware crop yield prediction via multi-modal spatial-temporal vision transformer.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Mmst-vit: Climate change- aware crop yield prediction via multi-modal spatial-temporal vision transformer
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.920231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3631c080-963b-4543-988b-6fe91bc23644 · outbound
This paper cites Rice yield prediction and model interpretation based on satellite and cli- matic indicators using a transformer method.Remote Sens- ing, 14(19):5045.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Rice yield prediction and model interpretation based on satellite and cli- matic indicators using a transformer method.Remote Sens- ing, 14(19):5045
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.972814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 684e3d5d-eb98-4b4e-8699-417697a523a8 · outbound
This paper cites SGDR: stochastic gradient descent with warm restarts.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction SGDR: stochastic gradient descent with warm restarts
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.828686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f74cb038-f881-41ba-9db2-0a3ca505c370 · outbound
This paper cites Decoupled Weight Decay Regularization.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Decoupled Weight Decay Regularization
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:35:21.092278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 56c6458d-0106-4a2f-84e5-0861651b5972 · outbound
This paper cites Goa-optimized deep learning for soybean yield estima- tion using multi-source remote sensing data.Scientific Re- ports, 14(1):7097.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Goa-optimized deep learning for soybean yield estima- tion using multi-source remote sensing data.Scientific Re- ports, 14(1):7097
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.821038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 007aa6c0-a4a9-4d90-b79d-53bcf0aa8f61 · outbound
This paper cites Context-aware deep representation learning for geo-spatiotemporal analysis.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Context-aware deep representation learning for geo-spatiotemporal analysis
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.801881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c336c2b-b570-4a96-97b0-0892821a10d8 · outbound
This paper cites Adaptive fusion of multi-modal remote sensing data for op- timal sub-field crop yield prediction.Remote Sensing of En- vironment, 318:114547.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Adaptive fusion of multi-modal remote sensing data for op- timal sub-field crop yield prediction.Remote Sensing of En- vironment, 318:114547
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.806596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c2e51dae-4f5f-4e67-bab7-6c9038968619 · outbound
This paper cites Temporal convolutional network based rice crop yield prediction using multispectral satellite data.Infrared Physics & Technology, 135:104960.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Temporal convolutional network based rice crop yield prediction using multispectral satellite data.Infrared Physics & Technology, 135:104960
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.798334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b279eacb-ef0f-4a17-8b0a-803ae3ab6dcb · outbound
This paper cites an unresolved cited work.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T13:27:00.840295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8aa8c9d-4fd3-4144-9e60-dbdfd32070b1 · outbound
This paper cites Crop yield prediction with deep convolutional neural net- works.Computers and Electronics in Agriculture, 163: 104859.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Crop yield prediction with deep convolutional neural net- works.Computers and Electronics in Agriculture, 163: 104859
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.794405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 74e6cd03-9d75-475f-8e2d-d28eee6399f5 · outbound
This paper cites Rethinking transformers pre-training for multi- spectral satellite imagery.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Rethinking transformers pre-training for multi- spectral satellite imagery
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.815339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5c5e0dd1-b49f-485b-9ff3-46d13ae2f20e · outbound
This paper cites Gener- alized classification of satellite image time series with ther- mal positional encoding.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Gener- alized classification of satellite image time series with ther- mal positional encoding
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.824498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bbe725df-8d84-4597-8cf7-e14a0e92e7a9 · outbound
This paper cites Global gridded crop production dataset at 10 km resolution from 2010 to 2020.Scientific Data, 11(1):1377.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Global gridded crop production dataset at 10 km resolution from 2010 to 2020.Scientific Data, 11(1):1377
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.925086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3d7179bf-bf09-4bbb-bef1-7886690f49e1 · outbound
This paper cites Climate change impacts on crop yields.Nature Reviews Earth & Environment, 4(12): 831–846.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Climate change impacts on crop yields.Nature Reviews Earth & Environment, 4(12): 831–846
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.991970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b69ab0d-4b74-4936-a1b5-677d6c5c62c9 · outbound
This paper cites Where culture fades: Revealing the cultural gap in text-to-image generation.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Where culture fades: Revealing the cultural gap in text-to-image generation
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:35:21.105784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ec94f89-6185-43aa-be98-6fdeabcd1b40 · outbound
This paper cites Ri-mae: Rotation- invariant masked autoencoders for self-supervised point cloud representation learning.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Ri-mae: Rotation- invariant masked autoencoders for self-supervised point cloud representation learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.995711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 41205775-7707-44ad-9d9a-c8d376c63bc8 · outbound
This paper cites County-level soybean yield prediction using deep cnn- lstm model.Sensors, 19(20):4363.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction County-level soybean yield prediction using deep cnn- lstm model.Sensors, 19(20):4363
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.999566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1cc1da8c-4eb1-43cf-a193-d25c06635174 · outbound
This paper cites An empirical study of remote sensing pretraining.IEEE Transactions on Geoscience and Remote Sensing, 61:1–20.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction An empirical study of remote sensing pretraining.IEEE Transactions on Geoscience and Remote Sensing, 61:1–20
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:01.003155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fc62c75-024f-4375-b6c6-06b8f08aead5 · outbound
This paper cites Duocast: Duo-probabilistic diffusion for precipitation nowcasting.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Duocast: Duo-probabilistic diffusion for precipitation nowcasting
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:35:21.096633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d0661fe9-2fa0-4132-9c08-280f8b79b861 · outbound
This paper cites Stable Attention Response for Reliable Precipitation Nowcasting.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Stable Attention Response for Reliable Precipitation Nowcasting
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:35:21.083498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d783953f-018b-4f02-b900-0d629207ca01 · outbound
This paper cites McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T04:35:21.087811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e4cd2cfc-541d-411f-8a5c-f57b302bbb09 · outbound
This paper cites an unresolved cited work.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T13:27:00.980534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82fa74fe-64a2-44bc-84f8-395535d06ca5 · outbound
This paper cites Deep gaussian process for crop yield pre- diction based on remote sensing data.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Deep gaussian process for crop yield pre- diction based on remote sensing data
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.976716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c84cb7a6-0937-4a39-bdcc-94c268674b79 · outbound
This paper cites Fedformer: Frequency enhanced decom- posed transformer for long-term series forecasting.
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction Fedformer: Frequency enhanced decom- posed transformer for long-term series forecasting
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T13:27:00.952922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.