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Paper Citation Record · LEDGER

Machine Learning for Urban Air Quality Analytics: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09620.

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

pith.paper-citation-record.v1
2310.09620 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:41:32.591834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T23:09:26.807045Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40296931-af3a-427f-a637-73b5cbfdf35f · inbound

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture cites this paper.

Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture Machine Learning for Urban Air Quality Analytics: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T12:41:32.591834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:41:32.591834Z digest=sha256:d00a895bb670904d1963755db43f0a449cebd3c1620291f78702ebccbbcdbf9e

Observation 12cf9ff2-1c55-4a73-a691-a65da1d38f83 · inbound

A temporal deep learning framework for calibration of low-cost air quality sensors cites this paper.

A temporal deep learning framework for calibration of low-cost air quality sensors Machine Learning for Urban Air Quality Analytics: A Survey

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:09:26.808579Z

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=2026-05-09T23:06:45.267976Z digest=sha256:253834ece92c913716639b37293032c70875f677965932b701a4c1a663f05ffd

Observation 65b81b98-2ada-43a9-bbac-6920d70d46c2 · inbound

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis cites this paper.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning for Urban Air Quality Analytics: A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T19:20:53.514372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:20:53.514372Z digest=sha256:b6736dccb97a652cbd3d4b137b95b8a31369b4a2202a4662a4326e44566bba0c

Observation ae0bf512-5705-400f-8fff-898c0a0e11a2 · inbound

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis cites this paper.

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Machine Learning for Urban Air Quality Analytics: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T19:20:53.629240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:20:53.629240Z digest=sha256:d71c4080655c84f2bc7074ade3bf66ed54cac7ac1c06023e076d514a293d941c