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Paper Citation Record · LEDGER

Applications of AI in Astronomy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.01493.

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

pith.paper-citation-record.v1
2212.01493 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:59:59.336062Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-14T22:52:12.639762Z

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 d30a1d71-f9ab-42f4-be86-0b6241bbbfa7 · inbound

How to set up your first machine learning project in astronomy cites this paper.

How to set up your first machine learning project in astronomy Applications of AI in Astronomy

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T05:59:59.336062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:59:59.336062Z digest=sha256:afdf4a623b81433ec5499b61290fe03d71fe75c5f89d0f37ad1192ce4ee5259b

Observation 95045506-3c17-46f5-b62a-1c02a8bed06f · inbound

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks cites this paper.

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks Applications of AI in Astronomy

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:33:40.154904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:33:40.154904Z digest=sha256:05832bcd11f316aa9e8e975f9ab9a31bc705c30e899b58e89df1d50990a08c9a