Paper Citation Record · LEDGER

Machine Learning in Stellar Astronomy: Progress up to 2024

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.15300.

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

pith.paper-citation-record.v1
2502.15300 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:32:17.719662Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5419e6a5-ce93-4a2e-8178-399bc133c071 · inbound

Multiple machine-learning as a powerful tool for the star clusters analysis cites this paper.

Multiple machine-learning as a powerful tool for the star clusters analysis Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:17.719662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b636c60f-c92c-4a76-b560-989832cae44e · inbound

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey cites this paper.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.930989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63edf889-2b90-4b11-826b-b3c96642f2d1 · inbound

Deep Learning Analysis of Ions Accelerated at Shocks cites this paper.

Deep Learning Analysis of Ions Accelerated at Shocks Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T21:01:46.060076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94777db1-1843-4979-bfd6-ecacb44f4962 · inbound

Machine Learning as a Transformative Tool for (Exo-)Planetary Science cites this paper.

Machine Learning as a Transformative Tool for (Exo-)Planetary Science Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:55:46.468401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de65d2da-5be3-4233-ad44-43a5d7f7262d · inbound

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources cites this paper.

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:45:56.480907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a15895b-27a4-4c4b-925d-164b256cf679 · inbound

Effective temperatures estimation of low-mass stars and identification of T Tauri stars in LAMOST DR10 using machine learning cites this paper.

Effective temperatures estimation of low-mass stars and identification of T Tauri stars in LAMOST DR10 using machine learning Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T20:35:53.290462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.