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Paper Citation Record · LEDGER

Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.04381.

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

pith.paper-citation-record.v1
2012.04381 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:23:03.688557Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:23:04.585317Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 35f3a5ac-6781-4d9c-b48a-2f5cda4ada27 · inbound

One-stop strategy to search for long-duration gravitational-wave signals cites this paper.

One-stop strategy to search for long-duration gravitational-wave signals Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates

Reference 126

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:23:04.594589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:23:03.688557Z digest=sha256:69be63766904c7f1b1134871ec2b8bc9c4f0109ed7fc9615f094bd6ea474ab25

Observation a75c10dd-f83c-41a9-96f4-b928ef60f57a · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:49.827758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:49.827758Z digest=sha256:c785d0d36d4df176a2bd99847adf6c673639429f56a42f4beb4444c58b08af3b

Observation 89acf490-32bc-49bd-baa3-6a3cec4493fb · inbound

Search for continuous gravitational waves from the pulsar J0435+3233 cites this paper.

Search for continuous gravitational waves from the pulsar J0435+3233 Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-01T15:45:26.763234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:45:26.763234Z digest=sha256:f2a3798b8db127960c0446e92d5de21cd0d8cf456d8248a6b04a7f8cb9bcd630