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Paper Citation Record · LEDGER

Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.10757.

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

pith.paper-citation-record.v1
2404.10757 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:40:41.013048Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4879794b-35ad-48b8-8f23-188c36c62f5a · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:50:57.922421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T02:46:14.834690Z digest=sha256:722518fd1be0aeb6564848041a356f5544b94d8f10fd9d04e47937e068d9602d

Observation c269d2fc-5be3-4c27-8470-62b94803dcb0 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:55:16.146992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-25T02:51:29.233816Z digest=sha256:dd2a6773880f7cad23df3f793ace7e35c9d8fa11fdb9e4f8cf033501c961f561

Observation 985bb880-0bae-4c24-bfdd-3cfac7daf004 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:55.594720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-30T16:40:41.013048Z digest=sha256:e46adc164ec18c48727b5fea4f7600251f33ad7d40eecc6588cb3910a12f1ccb