Paper Citation Record · LEDGER

ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.17973.

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

pith.paper-citation-record.v1
2305.17973 v2

Coverage vector

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Typed states for the displayed outbound observations.

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measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:36.038092Z

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 86f11e8e-8ffa-4fc5-af7d-94d1db4fb54b · inbound

Measuring the cosmic dipole with golden dark sirens in the era of next-generation ground-based gravitational wave detectors cites this paper.

Measuring the cosmic dipole with golden dark sirens in the era of next-generation ground-based gravitational wave detectors ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 31

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A fast deep-learning approach to probing primordial black hole populations in gravitational wave events cites this paper.

A fast deep-learning approach to probing primordial black hole populations in gravitational wave events ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 61

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Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia cites this paper.

Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 88

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Observation 19062721-2a20-4533-a6ba-d7176fe6a520 · inbound

Synergy between CSST and third-generation gravitational-wave detectors: Inferring cosmological parameters using cross-correlation of dark sirens and galaxies cites this paper.

Synergy between CSST and third-generation gravitational-wave detectors: Inferring cosmological parameters using cross-correlation of dark sirens and galaxies ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 95

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Observation 4427363b-9368-40a3-a5db-ca3e9c3cb63e · 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 ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 58

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How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4 cites this paper.

How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4 ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 129

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GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors cites this paper.

GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 174

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Observation e01d37c8-b8cb-4971-8559-765ef599e8a0 · inbound

Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run cites this paper.

Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 39

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Observation 7f91e40c-3d5f-4932-8414-544d68eaa003 · inbound

Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run cites this paper.

Reference 39

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Observation 7edb847f-3c15-43b5-9e4b-6b1fbc4e458e · inbound

Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust? cites this paper.

Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust? ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:48:31.942450Z

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Observation 4dc7badf-fef1-4aca-856d-47c18d015cf7 · inbound

Prospect of Measuring the Cosmic Dipole by Associating Strongly Lensed Gravitational Waves with Galaxy Surveys cites this paper.

Prospect of Measuring the Cosmic Dipole by Associating Strongly Lensed Gravitational Waves with Galaxy Surveys ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T03:03:21.305854Z

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Observation dfc9da64-15e2-4082-b2f4-288d16a1b806 · inbound

Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics cites this paper.

Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:20:16.757687Z

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Observation ff6fa6ab-cf89-4604-8850-676d0de46343 · inbound

Model-independent H0 from GWTC-4 standard sirens and TDCOSMO 2025 strong lensing time delays cites this paper.

Model-independent H0 from GWTC-4 standard sirens and TDCOSMO 2025 strong lensing time delays ICAROGW: A python package for inference of astrophysical population properties of noisy, heterogeneous and incomplete observations

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:56:39.502018Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.