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Paper Citation Record · LEDGER

Deep learning for intermittent gravitational wave signals

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.13156.

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

pith.paper-citation-record.v1
2208.13156 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:51.727671Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:30:32.326876Z

Reference resolution

0 of 0 outbound references displayed

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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 984a13b0-00d5-4979-b207-d55a1618d6da · inbound

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge cites this paper.

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge Deep learning for intermittent gravitational wave signals

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:51.727671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:51.727671Z digest=sha256:10a8320ed7085d3eed54b7ed495d7baa0e83447b6df4df0b030affda53adf95b

Observation 7426ff05-4f30-4fa0-bc88-6198a6a2202e · inbound

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.

Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Deep learning for intermittent gravitational wave signals

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:30:32.333930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T05:30:31.356102Z digest=sha256:d8e45aedd949b0635bda9b6906cf02b6104cdf4e76f22e3f8b439afbced28836