Paper Citation Record · LEDGER

Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2203.03651.

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

pith.paper-citation-record.v1
2203.03651 v2

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

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:12.281319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:34:46.080607Z

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Outbound references

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Pith citing papers

Observation 06b5cd28-0706-4978-8400-a7f505db8fbc · inbound

Nowhere left to hide: revealing realistic gravitational-wave populations in high dimensions and high resolution with PixelPop cites this paper.

Nowhere left to hide: revealing realistic gravitational-wave populations in high dimensions and high resolution with PixelPop Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:12.281319Z

Source-reported events for the cited work

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Observation 0288a64f-dca3-4419-93ea-dbdade7e5c90 · inbound

Comparing astrophysical models to gravitational-wave data in the observable space cites this paper.

Comparing astrophysical models to gravitational-wave data in the observable space Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:37:03.698594Z

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Observation 88d3c0cb-3644-4615-bfd9-8bc483b575f0 · inbound

An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources cites this paper.

An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:06:39.609208Z

Source-reported events for the cited work

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Observation 84ef45fe-4d74-45a0-9970-36dbf8813433 · inbound

Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset cites this paper.

Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-09T02:57:52.835097Z

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Observation 6d47f119-8c15-4307-98bc-59e075eabc60 · inbound

Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset cites this paper.

Signatures of a subpopulation of hierarchical mergers in the GWTC-4 gravitational-wave dataset Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T11:02:35.558413Z

Source-reported events for the cited work

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Observation c30f0a36-e29e-4543-8fd2-c28cfe614117 · inbound

Measurement prospects for the pair-instability mass cutoff with gravitational waves cites this paper.

Measurement prospects for the pair-instability mass cutoff with gravitational waves Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:37:23.716963Z

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.

Observation aecbeb48-e17d-4d67-bb1b-6290b53b1848 · inbound

Posterior Predictive Checks for Gravitational-wave Populations: Limitations and Improvements cites this paper.

Posterior Predictive Checks for Gravitational-wave Populations: Limitations and Improvements Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:50.128119Z

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.

Observation 633ff0ff-adb9-4463-aa2c-cd22e29ac194 · inbound

Emergent structure in the binary black hole mass distribution and implications for population-based cosmology cites this paper.

Emergent structure in the binary black hole mass distribution and implications for population-based cosmology Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:51:01.338342Z

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.

Observation 13ccdb1c-5724-41f5-84dd-dff4b36ec034 · inbound

End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.

End-to-End Population Inference from Gravitational-Wave Strain using Transformers Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:02:06.169768Z

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.

Observation 9b3613ff-f5ff-4c11-99ad-8b43b6120d15 · inbound

Joint population and strong-lensing inference for resolved gravitational-wave events probes the black-hole merger rate beyond the peak of star formation cites this paper.

Joint population and strong-lensing inference for resolved gravitational-wave events probes the black-hole merger rate beyond the peak of star formation Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:34:46.081923Z

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.

Observation f4c4f925-02b9-4f17-8f96-ab721356f242 · inbound

Uncovering Hierarchical Sub-Population of Binary Black Holes cites this paper.

Uncovering Hierarchical Sub-Population of Binary Black Holes Deep learning and Bayesian inference of gravitational-wave populations: Hierarchical black-hole mergers

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T23:27:58.885019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.