Paper Citation Record · LEDGER

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.12528.

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

pith.paper-citation-record.v1
2310.12528 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:45:19.846815Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:46:24.404844Z

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 139ab54c-fefa-4036-a9a4-26f13e908acb · inbound

The ATLAS Virtual Research Assistant cites this paper.

The ATLAS Virtual Research Assistant Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:45:19.846815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deccf271-0895-4d48-9468-55d15edeea8f · inbound

Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery cites this paper.

Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:01.720526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae18ea96-0ee9-44e6-90dc-8e94838c701e · inbound

Stellar flare detection in XMM-Newton with gradient boosted trees cites this paper.

Stellar flare detection in XMM-Newton with gradient boosted trees Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:46:24.407473Z

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 3a3596b2-f585-4720-bae8-69f055d6ca4c · inbound

You're Gonna Need a Bigger Core: Calibrating Massive Star Models against Galactic OB-type Stars cites this paper.

You're Gonna Need a Bigger Core: Calibrating Massive Star Models against Galactic OB-type Stars Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Reference 219

Resolution: unresolved; no resolver link, observed 2026-08-04T05:08:03.718544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.