Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:03.616671Z
Paper Citation Record · LEDGER
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction
As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.18018.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact1
- verified fuzzy10
- unresolved37
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f5977860-27c3-402c-9857-30589e461582 · outbound
This paper cites S., Fnais, M., Giannadaki, D.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction S., Fnais, M., Giannadaki, D
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 04c78664-fb14-401c-8ac4-2192532b1d44 · outbound
This paper cites & Unger, N.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction & Unger, N
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation 621fbca1-5cc4-47b6-994e-83f48f2f9263 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 3
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Source-reported events for the cited work
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Observation 08c65fac-eae9-473a-9e4a-f7a7b7353be1 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation ae5d3f89-351c-4eaf-93f9-6282b5165015 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 5
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Source-reported events for the cited work
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Observation c737fa0e-e5b1-491d-8ffa-ebec755ccab3 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 6
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Source-reported events for the cited work
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Observation 87c64995-29eb-4143-a4cb-fb3449726494 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation c90933e2-27a6-448d-954f-7f35458ef3e9 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 7b016036-a3f8-4269-b6a6-06dd587c7581 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 9
- Resolution
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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.
Observation 6933e581-6b4c-4a99-83a5-8e47de06fa3a · outbound
This paper cites J., Santillana, M., Wang, X.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction J., Santillana, M., Wang, X
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 66b3f66e-ff8f-4db9-b4cd-8c9136675cc7 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 11
- Resolution
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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.
Observation 25fd1d61-2d59-4dbd-a3c2-668b32b075a5 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 07c831f6-6917-4b7c-880f-ccce710f0f7c · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 97e4aace-7646-42f2-b5bd-5af8542728db · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation f3afe7e9-4471-4f42-b67c-b7e12cbcc539 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 15
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Source-reported events for the cited work
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Observation 14ddc2d5-c302-4a65-955c-0a06610a81db · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 16
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Source-reported events for the cited work
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Observation 9d7af7a4-2437-41bb-8203-422709492ae9 · outbound
This paper cites & Huang, X.-F.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction & Huang, X.-F
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation e11e0d41-4ddb-4f70-a95f-09953d2826b1 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 18
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Source-reported events for the cited work
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Observation 1dd3d200-442d-4762-98f5-329fdec31622 · outbound
This paper cites X., Jang, C., Zhu, Y.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction X., Jang, C., Zhu, Y
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation e0d870da-5c5c-4f8c-b30f-41ce04c52744 · outbound
This paper cites W., Hill, J.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction W., Hill, J
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 105b0728-b08e-409f-83c4-c2838dcb40a4 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 21
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Observation 3fd30477-f5d5-457c-9616-47bace990d04 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a09659da-fc12-419c-8b19-86c88dd7e76b · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 23
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Source-reported events for the cited work
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Observation 55f709e9-7b74-4208-83bb-247a5dadc43c · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 24
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Source-reported events for the cited work
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Observation 53f65bab-692f-44df-b378-5ffd0603f6f3 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 25
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Source-reported events for the cited work
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Observation 84b0feb3-06a3-47a4-8ede-df7852e8511c · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 26
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Source-reported events for the cited work
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Observation 12966092-74dc-4e82-8cb4-a0ee49468572 · outbound
This paper cites Superhuman Accuracy on the SNEMI3D Connectomics Challenge.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation 7c97fe68-a93e-43e3-bde0-95c63780588b · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 28
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Source-reported events for the cited work
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Observation 31abb5d4-996c-4fa6-8681-476276f70141 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation f3156fe5-d7f8-40a5-b58d-068253e8587b · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 7eeec99d-3319-41ff-86f6-1a9c09320b6e · outbound
This paper cites The distribution of points in a cube and the accurate evaluation of integrals (in Russian) Zh.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction The distribution of points in a cube and the accurate evaluation of integrals (in Russian) Zh
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 6bc4a3f9-09c3-4d81-8a27-29de107416d2 · outbound
This paper cites Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Reference 32
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Observation c659f605-f708-4abd-91f7-ab8c07b0abb2 · outbound
This paper cites Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
Reference 33
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Source-reported events for the cited work
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Observation b7130794-4d96-49af-96ad-05bf7b8e0ae1 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 34
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Source-reported events for the cited work
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Observation 4b9a9f66-e99c-41d4-963b-fde3407423bb · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 35
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Source-reported events for the cited work
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Observation b242c2fe-57ac-4e8e-a8b0-02c19acda6e8 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 08458635-8282-4d5d-93e3-371e6773d35d · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation f5e2336b-9c70-41f7-be59-5b82a5f6c7db · outbound
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A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation af8cbcd0-6dc4-4869-aef8-c8b78b1292b7 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 39
- Resolution
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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.
Observation 8e8d2329-f2d5-4930-b3e8-827cfcabdde2 · outbound
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A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction & Mauzerall, D
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation 29d1cab9-8ee7-4291-9284-6a2d2bc22c44 · outbound
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A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 79529fde-a892-4cba-a74b-1d50bd2a6999 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 96a6ffa5-7ed7-4bec-adca-5f9188a89e14 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 43
- Resolution
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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.
Observation 786bc3e8-8405-4cd2-a7a0-f4331e7abb58 · outbound
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A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 44
- Resolution
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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.
Observation 45a1ccb0-d7a4-421e-8854-395f2c9096a6 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 45
- Resolution
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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.
Observation f63c5061-16d5-47e4-86c4-ed55dbfd3477 · outbound
This paper cites & Henze, G.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction & Henze, G
Reference 46
- Resolution
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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.
Observation bb8bba7a-dd3f-4a25-91dd-b330a1a9bd86 · outbound
This paper cites R., Millar, J.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction R., Millar, J
Reference 47
- Resolution
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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.
Observation 05c36101-e931-437c-83b0-c48dceaf580e · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 48
- Resolution
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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.
Observation badce5f1-8155-4fa8-90fc-6872b6849814 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 49
- Resolution
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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.
Observation 543d5193-1bc8-4743-8751-843ab156c9c9 · outbound
This paper cites an unresolved cited work.
A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction Unresolved cited work
Reference 50
- Resolution
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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.
Observation 7e8da6d9-91fa-4435-a140-b17d7b343655 · outbound
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A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction conc ” and “ ∆conc
Reference 51
- Resolution
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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.
Pith citing papers
No inbound Pith citation observations are available.