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Paper Citation Record · LEDGER

Detecting Damped Lyman-$\alpha$ Absorbers with Gaussian Processes

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1605.04460.

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

pith.paper-citation-record.v1
1605.04460 v2

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 2026-08-22T06:32:14.747728+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: pith, observed 2026-05-22T04:04:35.539157Z

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 2d1477d4-a772-4d65-9da4-2eca0dfc444f · inbound

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

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Detecting Damped Lyman-$\alpha$ Absorbers with Gaussian Processes

Reference 221

Resolution
verified exact
local_arxiv, observed 2026-05-22T04:04:35.541611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:4f2b02338ba98bad2a82c6751eab00ab439542b3bc74676f732faee078cd46f0

Observation 8956cc54-49f9-4efa-b1e2-99b9ee9a31a7 · 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 Detecting Damped Lyman-$\alpha$ Absorbers with Gaussian Processes

Reference 30

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:d002676a788934559e085a6160272cf492122a037e12ee75f03032ff8137b616