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Paper Citation Record · LEDGER

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

As of 12 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 1 inbound Pith citation observation for arXiv:2501.13141.

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

pith.paper-citation-record.v1
2501.13141 v2

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:43:29.783336Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:52:05.218440Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:52:05.414387Z

Reference resolution

100 of 101 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved89
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f8eae86-7e94-436a-a783-b7882785ba05 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-10T16:43:28.585649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:28.585649Z digest=sha256:20fc0c7ae49eece229ffcbd7a63f3ce5a44a87e50197b65e93d37a40961aa900

Observation 02573849-f791-4d57-aa34-58a664b9434b · outbound

This paper cites write newline.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks write newline

Reference 2

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no resolver link, observed 2026-08-10T16:43:28.675703Z

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source=arxiv_source observed=2026-08-10T16:43:28.675703Z digest=sha256:c085ef370aec7c1833ee9c137e266e2f076b6c1f5ac05a926044323a20f621a4

Observation 0c07c457-8d9a-455e-b5e2-c33d50be5fdb · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Neural Machine Translation by Jointly Learning to Align and Translate

Reference 3

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no resolver link, observed 2026-08-10T16:43:28.790079Z

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source=arxiv_source observed=2026-08-10T16:43:28.790079Z digest=sha256:6df036fbe894fc6a7827a291fe6cd0024b8ca0863dd61e85cea08fab16cc18f2

Observation 93f18183-7e20-4b21-bf3a-617828635f33 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-10T16:43:28.829477Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:28.829477Z digest=sha256:184a001bb40a2406ea483532d6597ada799b352d81d6a1dac8c6f2f47fc7c114

Observation 3d60bfb6-2a4a-4565-94d6-341e4d088087 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 5

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source=arxiv_source observed=2026-08-10T16:43:28.846179Z digest=sha256:fbf74a589b4736a1bbafb50edc6ba2a83bdfddc518f0238b82659cf1a521cab9

Observation 99027757-320c-4867-9894-6d08785b0c30 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-10T16:43:28.861159Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:28.861159Z digest=sha256:83545b31362774e5c52e204a5a89d894aa95d8f0535e28aeafd623295a77cdff

Observation 0d36e163-be50-4191-b376-38ee6b34138c · outbound

This paper cites H.; Song, X.; and Shibasaki, R.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks H.; Song, X.; and Shibasaki, R

Reference 7

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no resolver link, observed 2026-08-10T16:43:28.865441Z

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source=arxiv_source observed=2026-08-10T16:43:28.865441Z digest=sha256:2d5df7c7c3e8aad7b00ee3df31c7780bffa7b0c82a2087ca4944e026c4402dd8

Observation 7f56c359-6772-4a1a-a26a-6dfc1d06bec1 · outbound

This paper cites Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting

Reference 8

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verified exact
local_arxiv, observed 2026-08-10T16:43:30.147937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:28.869508Z digest=sha256:adac7a8520a2c627042bb28add99145fa8d71e352e2d03476cbcc915c1ccd822

Observation a6b1fa11-3548-4b2f-88ff-aff6c6b97f35 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-10T16:43:28.874076Z digest=sha256:da6aae558d4e869157a2e32f07b2b5105b2bf01dd1aae83afa4c37e15a0c4699

Observation 382be31a-4385-4bae-8712-717741a6bfb6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-10T16:43:28.877955Z digest=sha256:7a8411734129516ecfced5a5d047aeffefd6ff93e3d9c2ed760bf50e9c135397

Observation 3f51b62a-c8dd-407b-abc4-c526fcb9db3b · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-10T16:43:28.881079Z digest=sha256:25fe91bf134f68919d0b2a0e6a3441c9e4e738279ea5828441875ca039aac164

Observation 662d5e8e-cf4c-4d71-88c9-11a153722f72 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-10T16:43:28.884864Z digest=sha256:9aaf72022888905338e4dc0899ad8f91ef6ce8087b85e202187c8c373d0c169d

Observation fe21484d-80d4-459d-9444-d1093e752e1f · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-10T16:43:28.888451Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:28.888451Z digest=sha256:69d349d0b83099645b24cfd88886c1b010e264a59c32bb148a234cc9777a027c

Observation 6991a1e9-b676-48df-bdc9-53a942a419a6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:28.925186Z digest=sha256:86f378e573972696cfffd6a432dd53109ca4ba919d6803e1606d76bac83d6af0

Observation 8da5734d-6815-460f-adf1-cd61eb00b83d · outbound

This paper cites H.; Nguyen, D.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks H.; Nguyen, D

Reference 15

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source=arxiv_source observed=2026-08-10T16:43:28.996308Z digest=sha256:2cebc41f71a63867caa418893be4251549c3b15d04dbababcd57a019a4e220e7

Observation 5b08d403-be98-4217-b632-390ac6a9711f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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source=arxiv_source observed=2026-08-10T16:43:29.077276Z digest=sha256:a1ae07980eecd2f28ea7271386ba0924d2ee0f980586689fd9c919029b7faf9d

Observation dc74bbe4-8f34-4391-8d87-27ddc02bcbb0 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-10T16:43:29.105876Z

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source=arxiv_source observed=2026-08-10T16:43:29.105876Z digest=sha256:e0dcda81cc3b9e7cd5b75aae0f57d4030002f2c422deed78287861800cba11e1

Observation 363bc2ef-14de-4557-95d9-3b12e65621e6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-10T16:43:29.110016Z digest=sha256:33a473712de2d8123fb53c7fa2d39ebeaf89564a0c152a975e77e5e9a47c62a5

Observation acdb3f9a-0f0f-4199-9ed4-1965a7152ed0 · outbound

This paper cites E.; Schir \`o , R.; Inglessis, M.; Ferdinandi, M.; and Incoronato, F.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks E.; Schir \`o , R.; Inglessis, M.; Ferdinandi, M.; and Incoronato, F

Reference 19

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source=arxiv_source observed=2026-08-10T16:43:29.135492Z digest=sha256:e0eac77fa17f6ef2b7289fd64a8476afa5ad33740204037e7b5639ac2ee3d0b4

Observation 428cf68a-d484-4c25-9e5a-10b8a920a62e · outbound

This paper cites M.; and Elyan, E.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks M.; and Elyan, E

Reference 20

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Observation ea0e35ce-e8e8-49b3-a5e1-349337c2c8ed · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-10T16:43:29.172767Z digest=sha256:6a69ed97302b7d9e51ffec8d7164a97c566b0e5ae1acf2f96d2a0c556ba25774

Observation 6661b1c3-45df-4e23-b644-831483b2c382 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-10T16:43:29.188262Z digest=sha256:333ff701ebb7031bc3cee8984fc38d154459f814feae9a4aaf3d93a2d23490cd

Observation 46ac3216-1d00-4ea7-9009-ab7c867c894e · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-10T16:43:29.198979Z digest=sha256:5a9b216e0df4cdbd0dd8a79b4642207f3e256baf889fb1de312d15d524f45079

Observation 5318bf5c-f6ba-4bba-8af1-d9db46be38ec · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Generating Sequences With Recurrent Neural Networks

Reference 24

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source=arxiv_source observed=2026-08-10T16:43:29.203501Z digest=sha256:2c5eb60af2c88976766e07982ac10b3a2396b122486ce3f8443fb0bf8f415e62

Observation 694ddb89-4aae-455c-8a7a-e69522bcffae · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 25

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source=arxiv_source observed=2026-08-10T16:43:29.208124Z digest=sha256:5032bab0655f49674b15058ec8888b4298c19b49fda7ba3ff1e94964a93cdafd

Observation 0b77aead-3cc4-4ea0-9602-acf58f41cc72 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-10T16:43:29.211868Z digest=sha256:e7983d654f9068853d9d53018c0e017f302a1dbc3dc00440696fa5fab3619651

Observation 78a689f7-7f03-44b9-b070-0a13c45954a6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-10T16:43:29.215559Z digest=sha256:4dd3df979f373c7778783a9208811e91eaad2607bd4833abd9c8e018f9ae807c

Observation 27ef1992-cfd9-415a-917a-04834490fdde · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-10T16:43:30.780384Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f7222369-1843-41a2-85ee-88be25f8fc51 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-10T16:43:30.769891Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 45757861-a07a-4fec-931d-620e2c87b99e · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T16:43:30.759017Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8a0e98bb-7757-4917-a598-9845417f65ba · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.328494Z digest=sha256:230fa8e8ce09232cd5972fed583e9a2be832f0caf354edbdc3dd1f8422c35f01

Observation b1084fc5-2fc1-4513-96f7-2a51df4862ff · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.332493Z digest=sha256:9a428b3f7686eca2cc49e7c89fbd77bdc6074931b5576235df936d7b69d3da06

Observation b21189e1-0e83-49ca-aedd-6ce28e4e9020 · outbound

This paper cites UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction

Reference 33

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source=arxiv_source observed=2026-08-10T16:43:29.336850Z digest=sha256:d1d3ed6cdd1ed8be0496b590800843a6cd7bb6768dc47b33cde82e6259234325

Observation f206e0a8-f17d-4827-8352-dd856d229764 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-10T16:43:30.727522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 772c4239-55a1-4f6b-81be-41580bad47ad · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-10T16:43:29.344872Z digest=sha256:3eaa4f28e9d3bc8a2440e081932472fc92042846d59e1dddc3c250fd79219f62

Observation 3c851c9e-7a00-4c2c-b2e0-d84f1ccd721a · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-10T16:43:29.348252Z digest=sha256:c1d9ec43720b7eb240e60f854eb4f2576bd7a377b0fd0d80da99ba5eb85472d4

Observation 0cfe0b6d-34c1-4579-b19c-1feae1fd275f · outbound

This paper cites E.; and Zemel, R.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks E.; and Zemel, R

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.705693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 63955600-1845-401a-be68-8e7bec4a6a6e · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.355316Z digest=sha256:1f8fbd27091397edaf919c7d0f68488b299d26a6b7d0d3a83b88c862680bf916

Observation bfb73537-d5c3-4632-98e0-b70c62140168 · outbound

This paper cites Recurrent Multi-Graph Neural Networks for Travel Cost Prediction.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Recurrent Multi-Graph Neural Networks for Travel Cost Prediction

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:43:30.090762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.358809Z digest=sha256:841d23b65200d49897cd55dff67552d4e12b2d05a504e26b7adb8479b62bccca

Observation 2eaed1cf-db8a-4b38-8389-dca7b9b122c3 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.684837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.362469Z digest=sha256:50d9e611cdb533bd160cac865ee60d9893396b9ec34052074d434651181d8bea

Observation f4b5e419-1603-469f-9d8e-72d21cb80bd9 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.672205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.366478Z digest=sha256:b9f47510fb3a3be1d5645cbc1ed6f7af36ec61033607f6fd0665350a97646033

Observation efac1dbd-fe7f-42d1-b9cd-29f78517b52b · outbound

This paper cites Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.369808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.369808Z digest=sha256:9e4c95fb118b2e29b5cef105a47a64f9e1d1a2e2cf1c8df7818ed7de447d2a59

Observation 4ba1fbad-80dd-4b21-a0ed-2a9c78781af8 · outbound

This paper cites D.; Saco, P.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks D.; Saco, P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.662030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.416988Z digest=sha256:853d7c9e95117c7b9dba5a28300afb7923649dd5793e03b3ddaf7d7aa78ff41d

Observation 6a2738ba-0eff-4cb9-bba5-b75dab50f8b3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Adam: A Method for Stochastic Optimization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.459224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.459224Z digest=sha256:49da4e16414b36976b0450ec8dd5b41e9ad46863fbe73299a191576fadea61f7

Observation cf6a8cc9-7864-4ef0-85d8-d4185581c8f9 · outbound

This paper cites Auto-Encoding Variational Bayes.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Auto-Encoding Variational Bayes

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.497746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.497746Z digest=sha256:76c0943c277e50f3a46ec0dcc09ec5284fa8adc5ea4a800704956526bb57a9a5

Observation d2ee8809-fddc-436f-b7da-e80db8e4ceb4 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.501348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.501348Z digest=sha256:7096601cd43c385e32150fcfec51922967d1ac33dbb8779f05d8f387738a6f67

Observation 004fc8ce-fab5-46f7-8ec4-cfe40e2b50c3 · outbound

This paper cites Variational Graph Auto-Encoders.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Variational Graph Auto-Encoders

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.505122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.505122Z digest=sha256:069040e64170ce914f04357e4bccdc29fb8734c857cc4a2e1f25a5557e2cc9fd

Observation 2f8343ea-93c8-49d6-9af7-87acd04cfe0d · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.650863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.509488Z digest=sha256:7dd22fb6bddc4611168e0f4e3bdc47746bd6f0776b0e79be589e7bd7e0643456

Observation 25ccb038-54df-431f-9e25-d2e27d202a73 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.640883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.513997Z digest=sha256:1d17ce2b7125b270845d63a6d21ec9fd762bc5c18684abdc80a70806b4d51ad1

Observation 03909da5-1fff-4096-8e8d-8c9ae1265e76 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.517473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.517473Z digest=sha256:facc38f0b11a007e41c2c8bbb28af110bab98ce7f827c29401530a2fb98c56cf

Observation 7f7b8586-ef9e-4f8c-a4a4-9be3702175cf · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.520945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.520945Z digest=sha256:6bdd9e38c76654413de906206c73831a70dfc5cfa0107e5b14ca4e2cd1da7c9b

Observation 51a6a0c1-6350-48cc-9167-358f0e9dfade · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.525021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.525021Z digest=sha256:092c3d63472a58e6ffddab7fed736e1a4ca4aec1e0f5da1dea726dd1e09ba91c

Observation e198b2d4-d2ad-4e60-a47f-ebb135741e46 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.631582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.529069Z digest=sha256:a99d46743e963e22346f3d6a2cb04e32c5c83497d0a7c058dba2d8211dd59fde

Observation 49d327f3-db38-4b34-aa5b-ba0fa1938650 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.621801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.532370Z digest=sha256:e2dab50c27142a998b0b12089dd7b7261eee7f7c842262704828b7f2ed947a91

Observation 4355fd79-ca1f-46f5-b5ff-09b508973b49 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.610139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.535883Z digest=sha256:2e61c95243ec5ef4a60911d0ccc64feceffcda75293095048f876e247eb26fdf

Observation fb7ae4f4-7034-4a77-bfa4-bb78df484336 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.598400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.539469Z digest=sha256:8fa7dc428ce8da3843d814a994e51ef7f587da5919e2aef4078e5a7acad0e961

Observation 19985b6a-1ca0-4c18-825b-9bbe8ac6bfec · outbound

This paper cites Y.; Zhang, P.; and Zhang, L.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Y.; Zhang, P.; and Zhang, L

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.586660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.615305Z digest=sha256:05b1311aa3fdf491aef8ca1ef6ed7d2e5b9a96ad97624456581ace3513d6cc8c

Observation 4f91e294-64f4-4ebc-9070-e0481b156d24 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.576546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.618784Z digest=sha256:760c1f6daf488265a0e18ee8ea6d5b78ad70b61cc1e878f0c38931362d37d743

Observation eb73be2e-6332-46cb-be40-b0ce1436617b · outbound

This paper cites A.; and Webster, R.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks A.; and Webster, R

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.566130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.622442Z digest=sha256:a7fa509516ad350a4e53018be70b825ffc1ed8b9d2c115cd306a3a71cb7b5af4

Observation f233323d-a3bd-4880-9993-a6b3bdfaf132 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.554660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.626101Z digest=sha256:4bc3240202a519c5b170be343b7e5f1ad6713e8de7964b0b4a23d7624e7ed20d

Observation b4d208f7-471a-4ed9-b750-3598dfc5fb81 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.543475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.629515Z digest=sha256:f69589c1adf9da0f084b7dd04628e0b43d3de858c929c399c896601f312e0963

Observation 89c39aeb-e23e-4271-8873-6ba9565fb383 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.633254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.633254Z digest=sha256:06809d92c85993fc3eec215536d980c7138ff5eb7fd277ae38c51d3aa6143116

Observation 5210ee00-7f53-4ab6-9644-ac55720d2a1b · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.525267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.636508Z digest=sha256:a0940ec85556b776c27c5fbb752c9e57c6923bf1b4f0f02a62d53716fda5589d

Observation 896a322b-57b0-456e-b8f0-e0852e5424a2 · outbound

This paper cites Message Passing Neural Networks for Traffic Forecasting.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Message Passing Neural Networks for Traffic Forecasting

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.639902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.639902Z digest=sha256:c642d1e74bee0fc3e32deb71713d2878c5cad2ae83c51b9d81cdd421788df8f8

Observation 154fa46f-83bd-43ed-b538-00db0326fb83 · outbound

This paper cites u l, T.; Sch \.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks u l, T.; Sch \

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.515850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.643743Z digest=sha256:65a38b524326e48c6c9a478549889941006ba0ea63cd53788448c7835dd09fce

Observation 07a72203-19a2-4eee-9e75-6380bbb05dca · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.505564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.647233Z digest=sha256:0149e83dc4d4b04c6aa3f1a747dcd1fc6d43f02d281930f26ec6bf3164d78767

Observation db127dab-2e60-4639-8b8c-7f5a20d58d57 · outbound

This paper cites S.; Shad, A.; et al.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks S.; Shad, A.; et al

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.495963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.650635Z digest=sha256:6db108411a41e08fa728c852d7f3800dd523fbc15e3d86f2ae60a9016151991a

Observation 9ab89ccf-3317-45e6-8874-2905972768f0 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.485535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.654557Z digest=sha256:a138127507f92cbfdb55403bebf49a6b5a5942a8f97f55a928a99bb28cea4cbb

Observation d68e6d67-a267-4d07-b07f-97e074ab3746 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.473300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.658857Z digest=sha256:395421736ce031eec08139e702569603965aae706b29bca5e2d95a7d326824f7

Observation 00b7e3fc-5759-4943-a5d4-8452df1a22a6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.462729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.662546Z digest=sha256:9dbfcd7e5d89f202e898cc1cfaed5f843502ecaa6bf823432142b71f63cc9876

Observation e380ee12-5f42-4701-821f-005197ae6985 · outbound

This paper cites MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.666714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.666714Z digest=sha256:42bc5788a098315f95c73487c1a2d3a3132406dd431601da37e20a86c6fc40ec

Observation 1d05ff18-15e7-4883-8bfa-3dce2c973aeb · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.451852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.671384Z digest=sha256:bca7fb876b4da740dc9ff679c9548e1cadebd2459c1a4fdd3763d79ce78733c1

Observation 7a4e1366-d1fc-40ee-a8c2-2680c1c0545b · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.442105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.675097Z digest=sha256:843c2ad6998b780d1fa6d9536241c5387e820d5a8baba76acdd720b0eda7e94e

Observation dd7a9639-2758-424f-9d4d-59d875d66e32 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.432060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.678475Z digest=sha256:81f2a850aea072d634f2ab3ef48b7d745766b1c5b92586c3ef4aa824c1e29c21

Observation 50bfe801-721b-4e35-9dbd-2c2d433a98cf · outbound

This paper cites N.; Kaiser, .; and Polosukhin, I.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks N.; Kaiser, .; and Polosukhin, I

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.681931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.681931Z digest=sha256:030afe0780cafa039fb066b8b77640a8025e9d7c98f6772df3e6a0ca3c4a23b8

Observation 1f77e25e-33fb-4fa7-84c1-1f309509d439 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.415265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.685909Z digest=sha256:436a34993fda9cc71ff7b9ad54e911bd37ac4cb80de116cded1ccb87419e8c9e

Observation b60b7a48-9ccc-4eae-a2de-6cb33b2f65b9 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.404278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.689595Z digest=sha256:fd99955facf9330c3dbcc74742b08f26171c10872af68a73024f16aca4ec94f4

Observation 6ec1bc33-11ea-4d42-ac81-6fca5e666432 · outbound

This paper cites S.; and Cong, G.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks S.; and Cong, G

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.395082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.693484Z digest=sha256:1c977a80463b25ac8725923126bf8caef2b0c89b3309bc0b3661877797903bad

Observation 6759f7c2-ba43-4dc8-9acd-b47b6f35f9be · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.696923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.696923Z digest=sha256:77e7d70fd75f2ef2994391b2e59b4f2c330588bda4437f3a7e2340ba794bbb69

Observation 5c4b7b74-0ce1-435a-9e18-72f7e05f8da1 · outbound

This paper cites S.; and Zhang, Y.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks S.; and Zhang, Y

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.379661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.700084Z digest=sha256:26125a6de52936ae4c54ea29460eacb51f9b2d73c20427272ad092f0c23dd539

Observation 506fa59f-93f9-4812-8571-8255179f2316 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.370254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.703511Z digest=sha256:775fa103f0af3c2fe35b971d3acca23fd21c319817bd8015b1f5cdafb702503a

Observation 8880e5d9-fd10-478f-99d2-959781d0386b · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.361205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.706688Z digest=sha256:b9523d461ce9f0b99fdec8eeae85cabd3daaa6d23aa8c399813710052ccefbe1

Observation a919bcf2-760f-47fe-986b-c25e745cff52 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.352339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.710301Z digest=sha256:ce7234a7209399cf61741aac908af4e60904bae9ff09306360442284bdab8c9a

Observation d08d3143-27ab-40e1-92ac-74697b5c40a6 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.343149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.714208Z digest=sha256:b989c59fb32366cad19ab5862e766e3d8187ac5fd680ad75bea3e49df531fc6e

Observation 842f4faa-a6bb-4ab3-81db-d493cb4ee837 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.306208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.718612Z digest=sha256:cc0781a1cc41db6e548e018951db4133e528f9a9ebd7091f62949ff7b9c10035

Observation 328a6b2a-ec23-4735-aae8-1a94ccec01a2 · outbound

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

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.722596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.722596Z digest=sha256:ae8702bc2eedb5defb6f3b3f6e7cbbf73ec9fabde5d4d5b29a8fd898f54f17d5

Observation 589f98c8-70ee-432a-9132-0f792f0bed54 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.297104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.726381Z digest=sha256:5b3f894bcedfc76a52c30c77748c1992707a5ec888381796aadb1a318263f149

Observation 9ced0a2a-dce3-49f3-b7c5-a9314b36424f · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.287942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.729980Z digest=sha256:4ff20bd43d782549c7f5ff02fa7a2ea9504867de0e5be840b212abd5a0a43140

Observation 6311f32c-3cf4-4de0-8248-2040cf1cbb6a · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.278078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.733469Z digest=sha256:ecd56fce80521c8ee53c01ddfa62e829ca611573d2e984aab90b97366c068abf

Observation bd090e78-eb33-435e-b92e-0460b93f7726 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.266608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.736874Z digest=sha256:8e6572dd8ed3f08ffe0746e2287e8883490bd42d7570d79b3aea1437dfbf503f

Observation 932ab0e6-f356-4b1c-89cd-cb61e2aec944 · outbound

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

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.740246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.740246Z digest=sha256:9c63021817f152b0512b147aeef852533e8d20922a09ba5e2a9ef493070aafd9

Observation f3649d0a-7af8-4861-ad27-a48b00334c0a · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Multi-Scale Context Aggregation by Dilated Convolutions

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.744282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.744282Z digest=sha256:89a6225a9da332352d9a9cf397911ccb88eda98afd2b6a014610bbacca12b7a3

Observation 56b31015-5006-4b23-a403-e88dff2237e8 · outbound

This paper cites Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.748483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.748483Z digest=sha256:18b8a7980698fd07c865697f6e189de98c1f3e66719e1dab7d7373e7b39d2a41

Observation d3c631ae-f71d-49c7-96cf-41f8806e96dc · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.244585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.753201Z digest=sha256:07c6c9e8dbdea91fbeb40a1b631d256edc736cbd8c18c3819d34cd04adb1532f

Observation e9e72861-4493-4744-8085-0e6c4d4ea822 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.234533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.756806Z digest=sha256:c7eb0fce6a5418dd9ade258b93a11af0b18dd53ce3322964832b806ba904a064

Observation f6ec0ae3-110d-400c-819b-a53b8528a88e · outbound

This paper cites S.; Xu, J.; Wang, D.; Liu, G.; Zhou, X.; et al.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks S.; Xu, J.; Wang, D.; Liu, G.; Zhou, X.; et al

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:43:30.223935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.760807Z digest=sha256:a5297c954ab17c4745551f7ade678f5d02a9ad9736a8025862278b7c1c0a6807

Observation bf4a4508-d29e-4c3f-99fb-4335d2450ff2 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.213399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.768415Z digest=sha256:e944e65c12832f2f9451295b2fe2fc8aa20f54916c5fb0850cb703f04ea91f38

Observation 6c3f69ae-a2dd-48e2-9fa4-3f7006a6e798 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.203286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.775615Z digest=sha256:df9e3afca4ec9f7985d8307f7fb4a701dfa4332c412d25ded8569d7c2934131a

Observation af20a9e9-ec01-4bab-99e6-ab81b2ad7a2a · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.779459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.779459Z digest=sha256:e9fd9f8299a82241445945d461273f44d243b1c1445a9cb52998fde004a313d9

Observation 63ee8c88-2b07-45c8-93c5-fc25e1069419 · outbound

This paper cites an unresolved cited work.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:43:30.187874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T16:43:29.783336Z digest=sha256:c65552e4015c2fe25cb8bd4c6b5ba8a30517cc8027788f61ab7776a902967d9d

Pith citing papers

Observation 6a39def2-a0dd-435d-b48b-2351895686ed · inbound

Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Data cites this paper.

Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Data AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:52:05.421963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T21:52:05.218440Z digest=sha256:317e1ad875e784ecc2d5ddb3bb67b0a2722a285047818071b56e71b3d2ecafd0