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Paper Citation Record · LEDGER

Harvesting the Ly\alpha\ forest with convolutional neural networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.02142.

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

pith.paper-citation-record.v1
2209.02142 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T06:51:29.075290Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T04:04:35.808340Z

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 7d007da0-16c7-44e2-803b-6df2fbd1ff55 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Harvesting the Ly\alpha\ forest with convolutional neural networks

Reference 206

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:04:35.811394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:ce0688a6bc069d3dd2a0ebd8b469178894dff2b71192a5efeb4e1270be80813a

Observation 4bf81f05-96f8-4dc5-91fb-5c54cc07e5c2 · inbound

Uncertainty-Aware Deep Learning for the Ly$\alpha$ Forest: CNN-Based Absorber Detection and Characterization cites this paper.

Uncertainty-Aware Deep Learning for the Ly$\alpha$ Forest: CNN-Based Absorber Detection and Characterization Harvesting the Ly\alpha\ forest with convolutional neural networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T06:51:29.075290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:51:29.075290Z digest=sha256:25baadbc99073e84fc8d2737c89634d257f63bf717f011beb1fa168c79bfbb26