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Paper Citation Record · LEDGER

Automatic classification of eclipsing binaries light curves using neural networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:astro-ph/0511346.

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

pith.paper-citation-record.v1
astro-ph/0511346 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:22:23.774337Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-26T19:29:48.567121Z

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 7cb6fa4e-13b9-4d19-8bd2-2402d1dc27c6 · inbound

Morphological classification of eclipsing binary stars using computer vision methods cites this paper.

Morphological classification of eclipsing binary stars using computer vision methods Automatic classification of eclipsing binaries light curves using neural networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T19:22:23.774337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:22:23.774337Z digest=sha256:269d33012ccc1d302da94138bc6027ee4885b3be693a7475052e2c61c6a576fe

Observation 37053b9d-4223-473e-a58c-951146a38efd · inbound

A New Methodology for Classifying Eclipsing Binaries with Kepler Data and Deep Learning cites this paper.

A New Methodology for Classifying Eclipsing Binaries with Kepler Data and Deep Learning Automatic classification of eclipsing binaries light curves using neural networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-06-26T19:29:48.568288Z

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.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:a0523b4a5e0dc845575c3ba2056a8cd0cc76c897af0ee309fe51aa1db41b7c17