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Paper Citation Record · LEDGER

Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.09008.

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

pith.paper-citation-record.v1
2211.09008 v3

Coverage vector

measured 0 of 0 reference resolution

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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:19.966354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:37:03.960974Z

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 88ed272f-0ffd-4a4a-a63a-b6e59f20dccc · inbound

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows cites this paper.

Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:19.966354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46295199-d8c2-454c-9cc9-55bcf75492b0 · 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 Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:37:03.963821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T04:36:12.661648Z digest=sha256:63d9be02b0201c7b87696343659020f84076a856ebbb54cede8551fcbfce8507

Observation a148eb3d-591a-48c3-87a9-4bbbfd3f24fd · 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 Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:06:39.298703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T17:06:36.862923Z digest=sha256:cf55da0066e04d9097ad6b32fdc28ce9f019da3caa1a76d7ac205cdfda1ba059

Observation f2079f45-17d4-48a4-981a-d08de00457e3 · inbound

Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LVK to LISA cites this paper.

Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LVK to LISA Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T06:35:06.355829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:35:06.355829Z digest=sha256:fbe9658df10a7c23ef03b592843eb250d0d3e9e12efa80541021462c6ebf59d1

Observation 281638cc-024f-4c53-a7be-218a32329c3c · inbound

Normalizing flows for density estimation in multi-detector gravitational-wave searches cites this paper.

Normalizing flows for density estimation in multi-detector gravitational-wave searches Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:06:26.443153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T12:53:40.252894Z digest=sha256:906658dbd9ce27dfbbe1bbaba99063713aace4a0b671daef5d62c9c195ca05be

Observation 0500d20a-e1df-4e68-8431-8fc51f5f0594 · inbound

Binary neutron stars in the next-generation era: Multi-messenger detection prospects and constraints on the equation of state, mass distribution, and cosmology cites this paper.

Binary neutron stars in the next-generation era: Multi-messenger detection prospects and constraints on the equation of state, mass distribution, and cosmology Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 217

Resolution
unresolved
no resolver link, observed 2026-07-31T07:22:46.063317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T07:22:46.063317Z digest=sha256:8dd6d44dfd33c85e0de2fcc8b9b3f1cdde14871d53d120a07234146e16e1597f

Observation 04eaebe2-a0bb-4819-8f61-06b0522c6ee3 · inbound

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers cites this paper.

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:42.889056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:42.889056Z digest=sha256:9303b247bcbb8dc769cc2374b50bfc6432c0548a58fff54f083f76526a6d9343