Paper Citation Record · LEDGER

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.12023.

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

pith.paper-citation-record.v1
2507.12023 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:39.048422Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy24
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ab81396-c24a-472e-b106-89b40adbe3b1 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Adaptive graph convolutional recurrent network for traffic forecasting

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:43.040381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e57c8b7-34f2-4ce0-8104-46356c6a5dd7 · outbound

This paper cites However, in real-world scenarios, we aim for a finer temporal resolution of 1 hour to achieve more precise predictions.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model However, in real-world scenarios, we aim for a finer temporal resolution of 1 hour to achieve more precise predictions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:39.594105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16a9d849-b53a-458a-85b9-c1635ff2c095 · outbound

This paper cites Quantifying the health impact of pm2.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Quantifying the health impact of pm2

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:42.122161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 662ed236-11f3-45a1-b139-2085f3e68ae7 · outbound

This paper cites an unresolved cited work.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:00:39.399266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2cebd794-87d7-40cc-bee2-3f5caaab353e · outbound

This paper cites Iden- tification of long-range transport pathways and potential source regions of pm2.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Iden- tification of long-range transport pathways and potential source regions of pm2

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.846143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ddb1f3c-dbc4-4c41-9d4f-ab4ff22a205b · outbound

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

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Airformer: Predicting nationwide air quality in china with transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.732971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4334346f-bbec-49b6-ac3c-17996eb58765 · outbound

This paper cites Probing the capacity of a spatiotem- poral deep learning model for short-term pm2.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Probing the capacity of a spatiotem- poral deep learning model for short-term pm2

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.587197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fd6b5ca-8c92-40e2-a047-7bb5138e9236 · outbound

This paper cites Forecasting air quality index in yan’an using temporal encoded informer.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Forecasting air quality index in yan’an using temporal encoded informer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.457557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bb4231e-12f1-4833-b595-013a6a00baf9 · outbound

This paper cites Significant impact of urban tree bio- genic emissions on air quality estimated by a bottom-up inventory and chemistry transport modeling.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Significant impact of urban tree bio- genic emissions on air quality estimated by a bottom-up inventory and chemistry transport modeling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.328887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23fd2134-f254-4359-8728-e5bd249d01a1 · outbound

This paper cites The long hazy tail: Analysis of the impacts and trends of severe out- door and indoor air pollution in north china.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model The long hazy tail: Analysis of the impacts and trends of severe out- door and indoor air pollution in north china

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.202304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef4afab3-15b4-4436-b325-b44578158b1a · outbound

This paper cites Effect of air pollutants particulate matter (pm2.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Effect of air pollutants particulate matter (pm2

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.096161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 104ad658-13ca-45b8-8a7e-8a662e679fb4 · outbound

This paper cites Integrated analysis of air quality-vegetation-health effects of near- future air pollution control strategies.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Integrated analysis of air quality-vegetation-health effects of near- future air pollution control strategies

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.987288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b63e1430-b2aa-4989-9ee2-3422897b8514 · outbound

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

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecast- ing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.653028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 860a9b14-0273-4ed4-b704-ba4fc3c17bc6 · outbound

This paper cites Quantitative ev- idence from vocs source apportionment reveals o3 control strategies in northern and southern china.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Quantitative ev- idence from vocs source apportionment reveals o3 control strategies in northern and southern china

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.479981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0d1370a-1a3b-406e-8c8f-d7b9dee9a0bc · outbound

This paper cites Multi-step air quality index forecasting based on parallel multi-input transformers.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Multi-step air quality index forecasting based on parallel multi-input transformers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.315424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1bfbfdeb-b995-4800-bdca-e4ab156cd4e1 · outbound

This paper cites Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.125663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f01bb687-3eea-42fb-9136-60ac86105904 · outbound

This paper cites Deep learning for air pollutant concentration predic- tion: A review.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Deep learning for air pollutant concentration predic- tion: A review

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:39.745444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bddd513a-e1aa-4f9a-9487-0c9dd6843b56 · outbound

This paper cites FuXi-2.0: Advancing machine learning weather forecasting model for practical applications.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:38.808809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760e0d46-1477-4e27-83d1-1fb7f426a39a · outbound

This paper cites NO 2, which participates in atmospheric photochemical reactions with O3, is also well captured by MV AR1hour in terms of concentration changes.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model NO 2, which participates in atmospheric photochemical reactions with O3, is also well captured by MV AR1hour in terms of concentration changes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:39.221762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68cf402f-fa26-4b8e-987f-29ec5390f8fd · outbound

This paper cites St-norm: Spatial and tem- poral normalization for multi-variate time series forecast- ing.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model St-norm: Spatial and tem- poral normalization for multi-variate time series forecast- ing

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:42.392622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6975c37d-f29b-4d6b-87d2-5ee255e619ab · outbound

This paper cites Spatio-attention embedded recurrent neural network for air quality prediction.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Spatio-attention embedded recurrent neural network for air quality prediction

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:42.188025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad286982-3673-48e2-9e1e-7032086f6863 · outbound

This paper cites Multi-step ahead forecasting of re- gional air quality using spatial-temporal deep neural net- works: a case study of huaihai economic zone.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Multi-step ahead forecasting of re- gional air quality using spatial-temporal deep neural net- works: a case study of huaihai economic zone

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:39.962521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8dd6935d-a1a9-4fc5-a84b-1d603b2066ff · outbound

This paper cites Accurate medium- range global weather forecasting with 3d neural networks.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Accurate medium- range global weather forecasting with 3d neural networks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:42.722249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46fe700b-bb3e-4988-9632-fc48225292da · outbound

This paper cites Gaussian Error Linear Units (GELUs).

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Gaussian Error Linear Units (GELUs)

Reference 2021

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Source-reported events for the cited work

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Observation 93016187-49b6-4051-8c5a-1787b9b711eb · outbound

This paper cites Half the world’s population are exposed to increasing air pollution.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Half the world’s population are exposed to increasing air pollution

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:40.831129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9f05fd7-d929-4175-aa4f-8260fb904b07 · outbound

This paper cites Air pollution modeling–an overview.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Air pollution modeling–an overview

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:42.553903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dafc256c-4bf7-485d-9264-fc3563c53aaa · outbound

This paper cites Learning skillful medium-range global weather forecasting.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model Learning skillful medium-range global weather forecasting

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:41.989900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 537d69fc-bd27-47fe-9b32-7f0fd5d7b6ce · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:38.035469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.