Paper Citation Record · LEDGER

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.20119.

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

pith.paper-citation-record.v1
2505.20119 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:34.712452Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact4
verified fuzzy25
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d06587c-da7c-4342-8c8b-3637c85560f5 · outbound

This paper cites an unresolved cited work.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:41.543107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c218ad1-11ec-40bf-9726-164d65a7b0e1 · outbound

This paper cites Federated graph learning under domain shift with generalizable prototypes,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Federated graph learning under domain shift with generalizable prototypes,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:41.312309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e65d42f5-6b53-405e-8269-fc3016471685 · outbound

This paper cites LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:03:35.607241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7254620-4980-4e4d-b5e9-576b74161342 · outbound

This paper cites Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:03:35.437243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e52a00e8-b752-4fe2-a0b7-9f7f216eb09e · outbound

This paper cites Crossgnn: Confronting noisy multivariate time series via cross interaction refinement,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Crossgnn: Confronting noisy multivariate time series via cross interaction refinement,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:41.085738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0afce2-3909-4d23-976c-3162101d8457 · outbound

This paper cites Improving generalization of dynamic graph learning via environment prompt,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Improving generalization of dynamic graph learning via environment prompt,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:40.889900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69183c53-a629-49b5-9956-d2bee9f922f8 · outbound

This paper cites STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:03:35.238224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbfaa6e6-f31c-421a-8670-cb7e0fa66488 · outbound

This paper cites Pattern expansion and consolidation on evolving graphs for continual traffic prediction,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Pattern expansion and consolidation on evolving graphs for continual traffic prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:40.627743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18724125-fe40-43eb-aa61-13a8ef52684f · outbound

This paper cites Knowledge expansion and consolidation for continual traffic prediction with expanding graphs,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Knowledge expansion and consolidation for continual traffic prediction with expanding graphs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:40.318187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 893fd6a5-542c-4071-8fd9-992717a14ffc · outbound

This paper cites A unified replay-based continuous learning framework for spatio-temporal prediction on streaming data,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting A unified replay-based continuous learning framework for spatio-temporal prediction on streaming data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:40.037085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae3f36dd-8e29-42c5-8038-bb1c01d17e5c · outbound

This paper cites Expand and compress: Exploring tuning prin- ciples for continual spatio-temporal graph forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Expand and compress: Exploring tuning prin- ciples for continual spatio-temporal graph forecasting,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:03:35.051012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfb806b8-4d81-406a-9f99-f50fb3513cef · outbound

This paper cites A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:39.775159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aaae69d8-e5ee-4ae6-8249-6ceae68a345e · outbound

This paper cites Modeling spatio-temporal mobility across data silos via personalized federated learning,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Modeling spatio-temporal mobility across data silos via personalized federated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:39.526076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3291e7cb-a63e-4525-921e-4e362756b606 · outbound

This paper cites Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:39.308435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8c1f280-cc25-4dbc-b4c0-ba87bcb9d6bd · outbound

This paper cites Towards dynamic spatial-temporal graph learning: A decoupled per- spective,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Towards dynamic spatial-temporal graph learning: A decoupled per- spective,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:39.025604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2ee1442-ff71-42ce-b3c5-7cb84038ef96 · outbound

This paper cites Meta koopman decomposition for time series forecasting under tem- poral distribution shifts,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Meta koopman decomposition for time series forecasting under tem- poral distribution shifts,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:38.870391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9a31f0a-bc9d-48b7-b20f-dcd369b31936 · outbound

This paper cites Pm2. 5- gnn: A domain knowledge enhanced graph neural network for pm2. 5 forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Pm2. 5- gnn: A domain knowledge enhanced graph neural network for pm2. 5 forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:38.694716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bcfeee0-fe28-4f52-9be3-30710596f37f · outbound

This paper cites Airformer: Predicting nationwide air quality in china with transformers,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Airformer: Predicting nationwide air quality in china with transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:38.456143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation faa63109-421b-4197-92ff-0cdd77929b79 · outbound

This paper cites Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:38.236200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8fee49b3-26b2-41f2-8103-c78f93f32919 · outbound

This paper cites Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:37.994312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67f9d4fc-b9d3-4ca9-8f09-fb1cc6fe67cc · outbound

This paper cites Visual prompt tuning,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Visual prompt tuning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:37.794653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66bce814-30b9-48ec-9c7c-3dd5af5359cb · outbound

This paper cites Attention is all you need,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Attention is all you need,

Reference 22

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Source-reported events for the cited work

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Observation 37a400f3-ee5f-498c-970d-9d7a87a6c676 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:37.581823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d4c7652-0a31-4d7e-9490-31b2a7726494 · outbound

This paper cites Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:37.321902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4e5e5fb-79ec-4cf4-9f6e-54e268e7f799 · outbound

This paper cites Condition-guided urban traffic co-prediction with multiple sparse surveillance data,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Condition-guided urban traffic co-prediction with multiple sparse surveillance data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:37.102224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e018b98-7755-44aa-8616-05d62a9cc6ca · outbound

This paper cites Get rid of isolation: A continuous multi-task spatio-temporal learning frame- work,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Get rid of isolation: A continuous multi-task spatio-temporal learning frame- work,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:36.859743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf510e5f-9629-4128-895e-dd5c1ccdcae5 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:36.663256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3468e3e-cef4-4ecc-a09d-8273ebf874bf · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:33.877159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f82616-a599-4571-9ae9-49af51e6e5c3 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:33.962861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d891902-9ad6-414e-b8d1-548a650c3cd9 · outbound

This paper cites Deciphering spatio-temporal graph forecasting: A causal lens and treatment,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Deciphering spatio-temporal graph forecasting: A causal lens and treatment,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:34.067141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1348b093-f46c-416d-b7c4-673d99d8cc9b · outbound

This paper cites Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:34.147901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc93488-6c8a-47a9-8a3a-2f72549e9201 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:34.246589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16644c48-71b6-46b0-9971-9eb931a31ecf · outbound

This paper cites A hybrid model for spa- tiotemporal forecasting of pm2. 5 based on graph convolutional neural network and long short-term memory,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting A hybrid model for spa- tiotemporal forecasting of pm2. 5 based on graph convolutional neural network and long short-term memory,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:36.421094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11b491c9-54a9-4b82-ab91-99780547446e · outbound

This paper cites Group-aware graph neural network for nationwide city air quality forecasting,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Group-aware graph neural network for nationwide city air quality forecasting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:36.200422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f4fb09f-a796-4ed2-9ff7-cd0a366b98f0 · outbound

This paper cites Deep distributed fusion network for air quality prediction,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Deep distributed fusion network for air quality prediction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:35.993635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 918c9beb-cdad-4fc9-8405-8d60c23972cc · outbound

This paper cites Mgsfformer: A multi-granularity spatiotemporal fusion transformer for air quality prediction,.

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting Mgsfformer: A multi-granularity spatiotemporal fusion transformer for air quality prediction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:35.817921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.