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Paper Citation Record · LEDGER

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting

As of 19 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2508.08279.

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

pith.paper-citation-record.v1
2508.08279 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:15:45.773996Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

79 of 79 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3c18db6-241b-4954-a4db-ce1365cecd35 · outbound

This paper cites Hybrid Water Quality Prediction with Multimodal Low-rank Fusion and Localized Attention , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Hybrid Water Quality Prediction with Multimodal Low-rank Fusion and Localized Attention , year=

Reference 1

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:41.921932Z digest=sha256:0aa38e5110d0d4400861e5923de677b2a83e64e69d33787954eae336b621e126

Observation b6adf292-7796-4352-94e2-abf44951b225 · outbound

This paper cites Long-Term Water Quality Prediction With Transformer-Based Spatial-Temporal Graph Fusion , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Long-Term Water Quality Prediction With Transformer-Based Spatial-Temporal Graph Fusion , year=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.574194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:41.982210Z digest=sha256:dcd8b1aa2bdad1bf66383353a37d9ee61a560c302ad86a49bc9a42bea2e9c555

Observation ebaedc1f-a42d-4ba9-9024-6b0d357b57e6 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.046820Z digest=sha256:a5be2db356111ed8ef4199652f5ef561dbfa402c099e4a9115b04357c392f8f8

Observation bb00e8a1-451f-40ef-9a7a-2b3cabbe1501 · outbound

This paper cites ICLR 2023 Workshop on Time Series Representation Learning for Health , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting ICLR 2023 Workshop on Time Series Representation Learning for Health , year=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.554147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.118755Z digest=sha256:94df0400e9bb803bf740e29502b8c12953fc5982ba8b7153b2c061cb9e2687ac

Observation 6bf07ef1-43fc-4cc9-9a7d-4c06b71e31d9 · outbound

This paper cites A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions , year=

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.190557Z digest=sha256:250475a4713052946019fb0782fca2efb7d4a18f5141ae87b9a604f3f378286c

Observation 9cb80b45-2e54-46db-99c1-0fbec0841ee5 · outbound

This paper cites A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.534778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.216943Z digest=sha256:da3e69170c93433114a3c59a14d55cf41dc1953ae222e89ec324c48442bd9df0

Observation ea8a0c50-644a-4dd2-b9ee-1e6879e04214 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.525314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.306870Z digest=sha256:84eb0b0e710d58f4e6fc255569efeb1eb2cecb2d88ac60a87d74466a857466d0

Observation 791b3bcb-dcdc-4954-88de-1ef37848151b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:42.490839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:42.490839Z digest=sha256:73e4411260f0bb816fc58728abc982821199c4779bcf3ac6cf2cae665ace977a

Observation abfe2374-7205-4d94-96a5-7f500417378f · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:42.551459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:42.551459Z digest=sha256:39cdcc0e36e225c0515b04a2d8cc773eb20c73e98bcef9f389a8c6372ff168af

Observation 51c2ae68-f871-476e-84ca-37bb22ae9750 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:42.642374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:42.642374Z digest=sha256:c810d658862b33c704a88bf76180f8eeef020c139191ef3bb30a6e624f9757a7

Observation bb889765-e64d-4e9e-ad92-7a56119efa0f · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting The Eleventh International Conference on Learning Representations , year=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:42.714378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:42.714378Z digest=sha256:0a677cb022b74a87c631104116ab4edf28563f5918b42e2d16bbb781c31a8672

Observation f91921c4-e8a6-4dbd-8695-485615ef2064 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning (ICML) , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the 39th International Conference on Machine Learning (ICML) , year=

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.758386Z digest=sha256:2da14941470831e1b54e7a1c4fe4c1309877a0f9480f9046e7165d7616256127

Observation 8e414ccd-1884-450c-a15b-6e9ae5425086 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.487433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.911996Z digest=sha256:87aa1251fdd5ed8cb27770b6874cbb3e9f54e20db326b7a910af8574becc0802

Observation d13ce5e2-fda3-40b8-8866-a854c6791923 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.478226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:42.977580Z digest=sha256:eae8d7f913cb87db5908e69457058c8db45f0204d9998dafd483c7ce12206d10

Observation ca102a2c-3bfc-4af6-b215-50c30d0a0356 · outbound

This paper cites Research on dynamic production plan models based on the ARMA model and Holt-Winters methods , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Research on dynamic production plan models based on the ARMA model and Holt-Winters methods , year=

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.046404Z digest=sha256:a884fd72654eec61935cc7e7b418a984165b04393168d9f371a00412770db8a1

Observation 279b123b-40e0-41aa-a9ad-86c7fc0d857b · outbound

This paper cites and Steve, Leander P and Narayan, Nitish and Upadhye, Abhishek and Aravindharaj, M.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting and Steve, Leander P and Narayan, Nitish and Upadhye, Abhishek and Aravindharaj, M

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.459773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.132990Z digest=sha256:711778c1eda031d35b8a9599d29ab63bcd3212fffa608e90160a4dbe2aa7a578

Observation 1701e1e1-3279-4709-96e8-5073711bfbf9 · outbound

This paper cites A process level network traffic prediction algorithm based on ARIMA model in smart substation , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting A process level network traffic prediction algorithm based on ARIMA model in smart substation , year=

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.204775Z digest=sha256:427d9b04a0931f31b7e6a685ff27c8c5f32f780c43b79006d1b6e31d1758934f

Observation cc0a5764-0fc0-427e-a783-22d8b4504737 · outbound

This paper cites Cloud Computing Resource Load Prediction Based on the Improved Particle Swarm Algorithm Optimizing GRU-RNN Model , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Cloud Computing Resource Load Prediction Based on the Improved Particle Swarm Algorithm Optimizing GRU-RNN Model , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.442072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.261940Z digest=sha256:926d1307079418cc6fd5c45b2a5eb830c1319aaae60c2948712ddc036a82bdcf

Observation a9cb5acd-6d9d-434c-9634-f63376bede91 · outbound

This paper cites GRU-LSTM Model Based on the SSA for Short-Term Traffic Flow Prediction , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting GRU-LSTM Model Based on the SSA for Short-Term Traffic Flow Prediction , year=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.433168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.333560Z digest=sha256:876c7c26564bf97e9573ebdc290c9f7da5dcbd987d90536c0e348c9ead890718

Observation 9301ad1b-fa42-45e8-9149-fbd93f346ba1 · outbound

This paper cites STAM: A SpatioTemporal Attention Based Memory for Video Prediction , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting STAM: A SpatioTemporal Attention Based Memory for Video Prediction , year=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.423413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.404079Z digest=sha256:09a84ebc53d75c2c8e062663a5b080265e291917cf69f28ea37d04926b5a7f22

Observation f94e4be4-84d1-416a-b85c-2d35fe7fc805 · outbound

This paper cites Short-Term Wind Power Prediction Based on STL-AOA-Transformer Algorithm , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Short-Term Wind Power Prediction Based on STL-AOA-Transformer Algorithm , year=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.414405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.531240Z digest=sha256:7fdf18ef04b8d07c28376045e2426e1d97bee7e93f423c2974fda09a14cd00e7

Observation 3bc4e3dc-b321-4d36-bc2e-8a11df1383ae · outbound

This paper cites One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction , year=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.405345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.621642Z digest=sha256:6c4047acd7eb702b27b139a470f73e55d7dcb2c59481671effe94560354147f0

Observation 05906738-24c5-4026-8d1a-9d474911e9c3 · outbound

This paper cites Modeling Method for Wind Farm Based on Equivalent Dynamic Response , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Modeling Method for Wind Farm Based on Equivalent Dynamic Response , year=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.395734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.696266Z digest=sha256:8d76c444cf2d675c193bb45a050fea766f19a9420df1fb9c647e7bef4f8d722d

Observation f0b12fdb-4158-40f3-8712-586b55dc9d02 · outbound

This paper cites Feature-Level Fusion vs.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Feature-Level Fusion vs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.385311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.805343Z digest=sha256:da15437bffc5bd44255896db4fb8b454a78ecdc3be359932147f5dab83eb4218

Observation af93ef94-2af6-402d-a940-ddb9464fea15 · outbound

This paper cites ID-DA Fusion:Infrared and Visible Image Fusion Based on Intermediate Domain and Dual Attention Mechanism , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting ID-DA Fusion:Infrared and Visible Image Fusion Based on Intermediate Domain and Dual Attention Mechanism , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.375372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.891546Z digest=sha256:dd113df088fcae74ecaab132ae565364348e3904aeaf47d19082bf60ff71c445

Observation 7ff7badd-b524-4345-a834-2e61b828736a · outbound

This paper cites U-Shape Spatial-Temporal Prediction Network Based on 3D Convolution and BDLSTM , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting U-Shape Spatial-Temporal Prediction Network Based on 3D Convolution and BDLSTM , year=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.365878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:43.951188Z digest=sha256:ff14ca2f30808c926738f9c0b2a421d8386a2da8fd344a59d980fa196c4a216f

Observation 7297c452-4b6c-4494-9ffb-07511f1fcdc4 · outbound

This paper cites Predict-and-Optimize Model for Day-Ahead Inertia Prediction Using Distributionally Robust Unit Commitment With Renewable Energy Sources , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Predict-and-Optimize Model for Day-Ahead Inertia Prediction Using Distributionally Robust Unit Commitment With Renewable Energy Sources , year=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.355859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.017404Z digest=sha256:b91cbd7f343aaa05631028e0d8d691e5593dd8691bc68c40e2543f23ea361a8b

Observation 87ea7498-9212-44e8-bc04-3493c93f2fd6 · outbound

This paper cites Identifying the origin of the magnetic directional anomalies recorded in the Datong loess profile, northeastern Chinese loess plateau , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Identifying the origin of the magnetic directional anomalies recorded in the Datong loess profile, northeastern Chinese loess plateau , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.345962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.076026Z digest=sha256:a4f9476c4a37fe157bab030b23bd30ae2881d9a760840b457a8ba54dbe49796b

Observation 71b3eb78-1cf5-4ade-8fd9-e391a5555f1e · outbound

This paper cites International conference on machine learning , pages=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting International conference on machine learning , pages=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:44.143211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:44.143211Z digest=sha256:5512624e1613277aa4a289d2ed66a122ffd98b303df32776d01a47b626d1b38c

Observation c034992f-9d30-43e4-966a-8e09b0dc1bb4 · outbound

This paper cites Deep CNN Feature Resampling and Ensemble Based on Cross Validation for Image Classification , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Deep CNN Feature Resampling and Ensemble Based on Cross Validation for Image Classification , year=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.329250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.217745Z digest=sha256:0733688b432e595cc9f8fd05ea256928ba411b2c0971e52b26467839237ea968

Observation 863b3c16-574b-4784-b930-242e039c0c8c · outbound

This paper cites Beam Prediction Based on Large Language Models , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Beam Prediction Based on Large Language Models , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.319661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.312238Z digest=sha256:a7840f573556d822e05d265679777787fc94533e4836d1275437d3f8dfa6f807

Observation 2aa923d7-de6d-4e7a-8f5f-9c3597e846d8 · outbound

This paper cites and Zheng, X.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting and Zheng, X

Reference 34

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T10:15:45.911477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.415591Z digest=sha256:2809edd4728d77bc6e3716c116ade21a7268405516d012650dd22f7a458efa3a

Observation 3ccaf580-18a8-4d83-be7c-5c54ee09acaa · outbound

This paper cites and Schwartz, Mischa , booktitle=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting and Schwartz, Mischa , booktitle=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.310182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.587447Z digest=sha256:1a3c4516c5befeb4aab0aa38784796e97f86de7eb5c8e019657b4e0844ede693

Observation aabb9077-39fd-4f68-a628-54c15281540a · outbound

This paper cites and Boeri, F.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting and Boeri, F

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.300268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.727482Z digest=sha256:10e47458eb2a16b9966edf337e1b2e039dbffbb22cb6ee7a55f7fb30fc1c6e43

Observation ec6a5221-0d86-4a50-941e-c2f6ad212906 · outbound

This paper cites Attention Bottlenecks for Multimodal Fusion , url =.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Attention Bottlenecks for Multimodal Fusion , url =

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:44.824811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:44.824811Z digest=sha256:94c52e95e1f356494c4d16d8eb3d6f44c850913e4c5800ac9021d328e2b6281b

Observation 9373cdeb-b288-46d4-b01e-d43311bad191 · outbound

This paper cites International Journal of Computer Vision , volume=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting International Journal of Computer Vision , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.284336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.842528Z digest=sha256:eeb3962c3d2bf1575240cb77bd3f13c291fb2486183b61de33cd70ef5730cb09

Observation 6641d326-bb0c-4634-b229-2a379b6fd314 · outbound

This paper cites Sleep Stage Classification using Multimodal Embedding Fusion from Electrooculography and Pressure-Sensitive Mats , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Sleep Stage Classification using Multimodal Embedding Fusion from Electrooculography and Pressure-Sensitive Mats , year=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.274797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:44.937829Z digest=sha256:f999bdd9502c989ea8543489a7615693e501367bfcf88cb3f8034f5ba48f21c5

Observation bd34b8e1-a261-40dd-ad88-59aa2dbe845b · outbound

This paper cites LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data , year=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.264834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.023966Z digest=sha256:134112f3886154b75357341faac11fc79d7fc6351ee23e24bafc973046e9b4d4

Observation ceaedc45-6304-4cc8-9b5c-ead838de57b8 · outbound

This paper cites MSA-TFN: Multi-Scale Attention Two-step Fusion Network for EEG-fNIRS Motor Imagery Classification , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting MSA-TFN: Multi-Scale Attention Two-step Fusion Network for EEG-fNIRS Motor Imagery Classification , year=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.254847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.104147Z digest=sha256:c7d6329832c83bdab03f143817ab1ca3a994e9757bb761989d2433dcfc03dc57

Observation 3f840e86-f89f-4e79-b3d6-abda5de6eed9 · outbound

This paper cites CoRR , year=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting CoRR , year=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.245110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.304758Z digest=sha256:6183579ae3d3611d36fe181e34cf52e21cf7de5032f72d47c3212ad92daeddc5

Observation e85dc322-4e2a-4f05-a2f9-ac3511381f29 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Advances in Neural Information Processing Systems , volume=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:45.391563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.391563Z digest=sha256:206a6e6ffdb76e2e02f92cebe305097a15b9cabd9b1591f626388a1a01f0dec2

Observation f8e90ee3-b2d4-4c8f-aa12-178350143605 · outbound

This paper cites Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:15:45.809921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.471113Z digest=sha256:7052f89d702669bc7d36122b5614a19c06b2f97eb3c7ef68172b53acb35d46a8

Observation 0ab15019-59ac-4662-84e4-ec26e6c7bddc · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.228986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.524674Z digest=sha256:85b2439cc4df7ac7613dac831d3b8a322364aefd1ace91758db21f2f73a919ad

Observation b777136c-96a0-403e-83c6-7f427e0db6b8 · outbound

This paper cites Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:45.653869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.653869Z digest=sha256:8bc8c3da8d00219cd69fb24010f4bc148a516ed64bcdb74bdcea981d431fe474

Observation 475c69e0-4005-4bff-b3c4-4dfff6e6b66b · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.220034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.671234Z digest=sha256:2938c3ba3085fb6b96cc7988da508bb4323a6c3ebbba0e1bb3431d9452a40106

Observation 6ad64375-3506-45aa-bba0-c27e3319c56c · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.211541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.674489Z digest=sha256:121e36af7dbbe622f09540abdeab501de18e23ab6a1681b461e329bf63c8cf2b

Observation d3b5f0fc-e5d7-4300-a7de-70251ce55317 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.202449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.677310Z digest=sha256:02bfaffbbc44bb892c7492daf8c7bd08e7102b16c294a2bd4fcd66c9d5460bce

Observation 5096162d-2cda-4868-b156-1270edb87b53 · outbound

This paper cites TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:45.680382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.680382Z digest=sha256:0cc47df65cc7dbef1fa20685763d7a0e27633141ba0a5c36fe81b88fddb608d4

Observation 85296b08-3c4e-4cfc-841a-39079df603b5 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.193621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.683376Z digest=sha256:2251926ac462a0c9420220a725102c9a5d2c8465ffcf3b399300a1878a249cf0

Observation e2c393bf-4620-4e96-9c2b-ef2eb98792be · outbound

This paper cites Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:45.687167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.687167Z digest=sha256:6f5fd3e1d57774dcb0cb149c5689d5f889a9d5ca695465cdc15dbc8091486405

Observation a67af21d-8e93-4222-9bad-623adaa7bf73 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.184576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.690249Z digest=sha256:dabac35ecdae71214918ed46b0de32cd2292f22db5b785403aef503c34c0fcd5

Observation 5537390d-4aab-4c80-8a60-68f92cba2f45 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.175259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.693330Z digest=sha256:81393666d4ec4980823ae586aad985d84dfbb972b9315fdfbefc567e23a671b1

Observation 1fa116b3-6fa1-4441-9a09-3e8454f0e9fd · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.166721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.696242Z digest=sha256:3b97fd8494c58cc5cc0c7ce6f1a2ac89279f25e0246855cc98fe204d565673dc

Observation f7f7c8f5-0d15-4e04-b6b1-fde47a2e4593 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.158075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.700209Z digest=sha256:a94401e29362c0be88817cdf60c718326cff38ed068bc8e8740b9ac0d2daa7ea

Observation 94da92c6-6af0-4569-b8c9-91fb2684a898 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.148516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.703698Z digest=sha256:67335279ec5d85f6d0a7f9ac40d567d80da26ebdd3c4017268d40902d560dbb4

Observation 2234cfb6-43a2-4267-bb42-3918a62e06e8 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.140222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.706645Z digest=sha256:b06f13a867ddfbcf5d5e6131098c0e54d58dcfe1fd8f21a9ad05d9cd66ed0e65

Observation 67181be9-a890-459f-83b6-59a563d5cf46 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.131574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.709549Z digest=sha256:8e8791c277384bb0615b2e68b3a167a76c94c903010a2295a71bc56ffe39f0b6

Observation 458e83f8-c9f5-4482-a301-e317da417c95 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.122795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.712450Z digest=sha256:a45d94f5f2d8e939ceb7017e3a0921e6b59f40cd6372333b328ebe2da0a0390a

Observation 9774bdfd-591d-4765-a801-3bdcaf550710 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.113726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.715170Z digest=sha256:537eed907e8f09f192935e0106a0b283208b55c4e0c65c262316db38e8212830

Observation f33445cb-d157-44b6-a4c2-7a80c0cd1406 · outbound

This paper cites P.; Narayan, N.; Upadhye, A.; and Aravindharaj, M.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting P.; Narayan, N.; Upadhye, A.; and Aravindharaj, M

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.103984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.718201Z digest=sha256:7a1ee298275ba218ad2765b5cd8443b07ea0fc5643cc8c60c551de4778dbb975

Observation 4eb05048-0b1e-4ece-aa33-dc6f45aebb6b · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.094692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.721111Z digest=sha256:51e0028f4c1dba6e0868f47200c9ea8b20c998d39c00bcbf32e496a5a219a62c

Observation edfc460a-c258-4553-becb-7e0519e98f12 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.084328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.724267Z digest=sha256:37b1c4e32a86d341b835ead671f65f027eb12724394852ec5983d59388852569

Observation 0b20086f-1fc8-47c9-8ad5-3b4284ee7d5b · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.073624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.726967Z digest=sha256:bef67daee6237dbaa42fcddb6d3a701aede6cd05ddf5b4713fd5ca9e68792c22

Observation 4921081e-7606-456e-b4dd-1f7c7e5279a2 · outbound

This paper cites O.; Ildiz, M.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting O.; Ildiz, M

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:46.064220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.730014Z digest=sha256:7818883b13460dc3b3587c4f6c768748883afee518faf3e781d1c74adeb4ea01

Observation 5e9124d3-9379-4de8-8a0e-89ff00081f98 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.054535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T10:15:45.732967Z digest=sha256:5d4324e705d23d7533d8db791eb74cae7082359966e1465dcdd58e06b2797235

Observation 41adec9b-6822-4879-b628-8b5adec0f874 · outbound

This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:15:46.044071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Y.; and ZHOU, J

Reference 71

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 72

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 73

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Reference 74

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Reference 75

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 76

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 77

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 78

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 79

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 80

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Source-reported events for the cited work

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This paper cites FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Unresolved cited work

Reference 82

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Pith citing papers

No inbound Pith citation observations are available.