Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T18:24:15.329348Z
Paper Citation Record · LEDGER
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys
As of 23 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2604.02999.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy3
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1868c8d6-bed0-4f1e-840d-c5d0778d182f · outbound
This paper cites Verdoes Kleijn (1) , T.
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys Verdoes Kleijn (1) , T
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T04:16:36.316406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c0826478-3885-44f9-87db-5af723b73304 · outbound
This paper cites Our group also includes members of the Rubin Consortium who are interested in taking the lessons learned from Euclid and OmegaCAM to the LSST survey.
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys Our group also includes members of the Rubin Consortium who are interested in taking the lessons learned from Euclid and OmegaCAM to the LSST survey
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T04:16:36.312177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c15d274d-5ab3-48d8-843f-eece1ca4f508 · outbound
This paper cites test particles.
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys test particles
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T04:16:36.320503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d75237da-519b-4118-a2cd-52c2dbaeaa2b · outbound
This paper cites Mellier, Abdurro’uf, J.
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys Mellier, Abdurro’uf, J
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:28:06.601166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.