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Paper Citation Record · LEDGER

Fast and efficient Bayesian method to search for strongly lensed gravitational waves

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.01278.

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

pith.paper-citation-record.v1
2412.01278 v1

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Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:37:27.717789Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:26:35.656481Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f9271885-38df-4dca-b078-b9e12d926d44 · 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 Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 87

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unresolved
no resolver link, observed 2026-08-09T17:37:27.717789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78a8a124-f30b-40d4-9110-1dbd29178826 · inbound

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

Parameter inference of millilensed gravitational waves using neural spline flows Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 40

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verified exact
arxiv_id, observed 2026-05-19T13:22:18.580712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 35584fa5-e57f-49a5-a581-fbb9b9bdecf7 · inbound

Spin Precession Signatures as an Indicator of Microlensing in Strongly Lensed Gravitational Waves cites this paper.

Spin Precession Signatures as an Indicator of Microlensing in Strongly Lensed Gravitational Waves Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 14

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unresolved
no resolver link, observed 2026-08-05T14:31:12.669610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ea12aac5-2fdc-4a35-b8c7-8c6bd08381de · inbound

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

Machine Learning Assisted Parameter-Space Searches for Lensed Gravitational Waves Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 30

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unresolved
no resolver link, observed 2026-08-04T22:56:00.507295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:56:00.507295Z digest=sha256:48744a8b8a70c4e16d1b4cb1f622eb13f86c663a35644335db5bee66f8067093

Observation f7c17899-e445-48f1-9e8e-40ddc2ebcc6c · inbound

Can Eccentric Binary Black Hole Signals Mimic Gravitational-Wave Microlensing? cites this paper.

Can Eccentric Binary Black Hole Signals Mimic Gravitational-Wave Microlensing? Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 60

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unresolved
no resolver link, observed 2026-08-03T18:57:02.917664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a963722f-428b-4dce-b741-ca5b159befe2 · inbound

Model-Independent Search Discards Faint Lensed-Pairs of Gravitational Wave Events in the Sub-Threshold Candidates of GWTC-4 cites this paper.

Model-Independent Search Discards Faint Lensed-Pairs of Gravitational Wave Events in the Sub-Threshold Candidates of GWTC-4 Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:26:35.658060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T09:11:47.942679Z digest=sha256:da99e5c9e8067507d95b81ebbc5e11e37627bff7d561b86b0c1e4b51f9374715

Observation 3f150e94-fe6a-4c00-8cd5-57d3774cf26b · inbound

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

Identifying lensed gravitational waves with physics-informed posterior learning Fast and efficient Bayesian method to search for strongly lensed gravitational waves

Reference 78

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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