Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:45:08.831828Z
Paper Citation Record · LEDGER
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates
As of 8 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 0 inbound Pith citation observations for arXiv:2508.04886.
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 2026-08-08T06:32:00.761636+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
1 of 1 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 36ac1833-7e65-427b-ba22-f2530ce3c6a1 · outbound
This paper cites Uncertainty Quantification for Surface Ozone Emulators using Deep Learning.
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 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.