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Paper Citation Record · LEDGER

Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.03295.

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

pith.paper-citation-record.v1
2111.03295 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T03:33:53.198336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:33:56.071102Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 4fc8aa15-7164-47bc-b6d4-febd498a9fc4 · inbound

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis cites this paper.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:36:41.365223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T17:33:37.594218Z digest=sha256:a1201d1811dd42abcd5c5869773a892c34072ead7ac6ba481ae161297d73657b

Observation 02167a6f-8731-417c-9bb9-5ecbf7102c06 · inbound

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:33:56.072630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T03:33:53.198336Z digest=sha256:6d017e83867e29af5e79fbaa03489520a7323a21fabf53eb5d1f8125d8b0820b