Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting resolved galaxy properties from photometric images using convolutional neural networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2111.01154.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-20T04:17:03.016414Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T04:18:03.749738Z
Reference resolution
0 of 0 outbound references displayed
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- 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 b01f9e7b-0acc-4e15-aee3-b21db12d6800 · inbound
A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10 cites this paper.
A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10 Predicting resolved galaxy properties from photometric images using convolutional neural networks
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T04:18:03.752762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.