Paper Citation Record · LEDGER

Exploring the Bayesian parameter estimation of binary black holes with LISA

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2003.00357.

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

pith.paper-citation-record.v1
2003.00357 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:09:28.559766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:14:26.000744Z

Reference resolution

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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 2027ba29-fd3c-49b7-b635-79624f90ff26 · inbound

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue cites this paper.

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:55:03.264570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30851721-64d4-4978-9b63-54923b830dce · inbound

When vacuum breaks: a self-consistency test for astrophysical environments in extreme mass ratio inspirals cites this paper.

When vacuum breaks: a self-consistency test for astrophysical environments in extreme mass ratio inspirals Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T11:09:28.559766Z

Source-reported events for the cited work

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Observation bfc413b8-737c-49ad-9d18-abe25aaa4693 · inbound

Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms cites this paper.

Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T10:46:14.211242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 922da5c9-3c98-4e5a-be57-d66c581209a4 · inbound

Systematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries cites this paper.

Systematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T03:09:41.489021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fa5155-4060-48c7-8968-9b964227f9a4 · inbound

Probing Kerr Symmetry Breaking with LISA Extreme-Mass-Ratio Inspirals cites this paper.

Probing Kerr Symmetry Breaking with LISA Extreme-Mass-Ratio Inspirals Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:10:54.788335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cca5f04e-0167-4ae3-a69d-eaae7a726550 · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:50:25.835754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b36b0d36-99ef-474a-90c3-863902234aa8 · inbound

Pre-localization of Massive Black Hole Binaries in the Millihertz Band cites this paper.

Pre-localization of Massive Black Hole Binaries in the Millihertz Band Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:51:22.229021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ecd1accf-8245-4fca-ac80-6fe5e81f51e1 · inbound

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets cites this paper.

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:42:31.360601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b7243a3-a421-4eb4-9151-5fd2994db5d3 · inbound

Measuring the Hubble constant with strongly lensed gravitational waves from space-based detector networks cites this paper.

Measuring the Hubble constant with strongly lensed gravitational waves from space-based detector networks Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:03:19.538896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation afdfdb70-6615-498e-bc35-d4f9cbf16887 · inbound

Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.

Neural posterior estimation of Galactic Binary signals for the LISA mission Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:14:26.002500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22b42e89-c644-4a2f-b521-a9f359db9598 · inbound

Probing Dark Matter Substructure with Wave-Optics Distortions of Strongly Lensed LISA Gravitational Waves cites this paper.

Probing Dark Matter Substructure with Wave-Optics Distortions of Strongly Lensed LISA Gravitational Waves Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:25:19.610732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.