Paper Citation Record · LEDGER

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2508.04885.

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

pith.paper-citation-record.v1
2508.04885 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:45:27.419404Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:45:08.831828Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:45:08.940942Z

Reference resolution

16 of 16 outbound references displayed

verified exact9
verified fuzzy4
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eaad510-1c15-4be3-81c7-c794235adb81 · outbound

This paper cites Toward cleaner air and better health: Current state, challenges, and priorities.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Toward cleaner air and better health: Current state, challenges, and priorities

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.620991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa10ba95-f17e-455c-80ae-f3414e3404f4 · outbound

This paper cites Miyazaki, K.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Miyazaki, K

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.610873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1ad9bd5-4039-4348-8a2a-53ada337f5eb · outbound

This paper cites Jacob, Robert M.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Jacob, Robert M

Reference 3

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.602210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbe80ee4-aa87-436a-9843-163ba6c50c08 · outbound

This paper cites Chaser: A global chemical model of the troposphere 1.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Chaser: A global chemical model of the troposphere 1

Reference 4

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.591972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f4f693e-1cf1-4317-8f86-b89a27fda4cd · outbound

This paper cites Watanabe, T.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Watanabe, T

Reference 5

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.487893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53b787b4-ca4c-404a-8d95-478e1deed9af · outbound

This paper cites Doury, S.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Doury, S

Reference 6

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.477675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f0dc41a-9cc7-4626-ab6c-74fc04a983f8 · outbound

This paper cites Watson-Parris, Y.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Watson-Parris, Y

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T23:45:27.393075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 894eda11-d120-4375-b89e-51690267729c · outbound

This paper cites Uncertainty quantification and inter- pretability for clinical trial approval prediction.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Uncertainty quantification and inter- pretability for clinical trial approval prediction

Reference 8

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.459477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd19152d-e18a-4bad-bc4c-f220b0c2ed74 · outbound

This paper cites Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:45:27.651865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48b6e0e0-a078-42e4-be11-79acf0121132 · outbound

This paper cites Sulla-Menashe and M.A.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Sulla-Menashe and M.A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:45:27.689661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6c647ee-deef-4ed8-95c5-f3342e6b0914 · outbound

This paper cites Gridded population of the world, version 4 (gpwv4): Population density, 2018.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Gridded population of the world, version 4 (gpwv4): Population density, 2018

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:45:27.680265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96430f19-32c9-406f-ac4a-9f45710e0711 · outbound

This paper cites Schultz, Sabine Schr¨oder, Olga Lyapina, Owen R.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Schultz, Sabine Schr¨oder, Olga Lyapina, Owen R

Reference 12

Resolution: verified exact; doi, observed 2026-08-05T23:45:27.448787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b67c185-6d72-4836-8330-2dee74024416 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:45:27.671273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09f78694-46b8-4127-8668-a1e2555ae704 · outbound

This paper cites Cand ‘es.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Cand ‘es

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:45:27.661434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52ae1f49-8be5-4f7f-b2f9-5a2f143394ab · outbound

This paper cites Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T23:45:27.419404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06789939-3033-4867-a479-266f1ef4b124 · outbound

This paper cites Conformalized Quantile Regression.

Uncertainty Quantification for Surface Ozone Emulators using Deep Learning Conformalized Quantile Regression

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T23:45:27.416305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 36ac1833-7e65-427b-ba22-f2530ce3c6a1 · inbound

Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates cites this paper.

Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates Uncertainty Quantification for Surface Ozone Emulators using Deep Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:45:09.022062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.