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Paper Citation Record · LEDGER

Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2106.12466.

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

pith.paper-citation-record.v1
2106.12466 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:01.486601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:22:18.728691Z

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 555e602d-a0d2-4a9b-8162-9e675b9bb5d2 · inbound

Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders cites this paper.

Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:01.486601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c095315-5bb1-4ace-98de-cbf66d1fd672 · 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 Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 185

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:50.336172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:50.336172Z digest=sha256:e741e54bb2f8ae197075a7acb876184494067bff0ea2eb2328e04ae1f46d13df

Observation ab6d9921-1cff-4f46-9f57-171fd43b2ecd · inbound

A $\chi^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences cites this paper.

A $\chi^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-09T17:37:27.685023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 276ecf03-cd40-40f5-bfe6-74f1cc74821a · inbound

Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.

Parameter inference of millilensed gravitational waves using neural spline flows Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:22:18.730867Z

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=2026-05-19T13:21:37.451964Z digest=sha256:64f8f477f122cb43da9cee5cc2f37deb3fdc1185a5531c2e337e33d599f312bd

Observation 346d4e79-80f2-4126-b500-f70eb3216b71 · inbound

Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning cites this paper.

Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T10:35:02.001938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:35:02.001938Z digest=sha256:47f3f3ca493bfe0c8a324269ad8e595be1eb6aa34b886b7e0cb9071404d46ac7

Observation 4b7fe479-5a53-4741-9eca-91c21e454f63 · inbound

Machine Learning Assisted Parameter-Space Searches for Lensed Gravitational Waves cites this paper.

Machine Learning Assisted Parameter-Space Searches for Lensed Gravitational Waves Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T22:56:00.482804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:56:00.482804Z digest=sha256:0735cdb75c0c6460705626ec2a8e7807ba7f06bc28de7d2fcd8dd2b1bc6f8011

Observation a56fcf2a-324a-45e9-b43f-96f6d6b89ee0 · inbound

GW231123: False Massive Graviton Signatures from Unmodeled Point-Mass Lensing cites this paper.

GW231123: False Massive Graviton Signatures from Unmodeled Point-Mass Lensing Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:21:00.462712Z

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=2026-05-10T17:12:36.517373Z digest=sha256:dc638c9218ee26230c82748210cbb6e5de0dfb5a1f03c8e93b250dd215c968e3

Observation a52ac7d4-13b9-4ff1-95fe-7dffe773d850 · inbound

Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs cites this paper.

Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:40:23.723982Z

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=2026-05-10T12:39:57.097656Z digest=sha256:f63e170820641ca46f29fb573b91996c8f5b054d83d4a0eec125d8e29d905419

Observation 43564ae2-6c58-4a6e-8bbb-b485f6240f92 · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 136

Resolution
unresolved
no resolver link, observed 2026-07-11T23:16:00.672720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d24b26e-81da-43c2-a2a4-ed6ff11663f2 · inbound

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters cites this paper.

Probability of gravitational-wave lensing by intermediate-mass black holes and globular clusters Rapid Identification of Strongly Lensed Gravitational-Wave Events with Machine Learning

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-11T00:33:04.626832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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