Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.00271.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-10T14:42:17.580266Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6fd53218-48ce-41f9-9734-caece6b9a479 · inbound
The Dyson Minds 2025 Workshop: SETI around Black Holes cites this paper.
The Dyson Minds 2025 Workshop: SETI around Black Holes GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T21:08:22.543263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ba416b64-cad7-4175-ad7d-64fbcf68b249 · inbound
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling cites this paper.
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T22:12:50.758730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3ebdb489-2337-45f4-8bfa-9b37b445253d · inbound
Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network cites this paper.
Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T14:47:14.509054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.