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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:29:10.186074Z

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 41c18dbc-d215-4180-9e46-108574169dc4 · inbound

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State cites this paper.

Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T22:29:10.186074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T04:36:12.661648Z digest=sha256:ddbc33d986de2519345a7c19b6850d1ddc624330670a1f21034a008f570c12fc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T17:06:36.862923Z digest=sha256:2a7fa0089e4f3c0dd2c59cb806ee4915d2f9d7721a900ac36b9d18c8bf3ed5c6

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=sha256:7bdea1fce3c3d532e3c98db5f669e32b949e49e3fbb00df9ad42eb5a5e3960e4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T12:53:40.252894Z digest=sha256:f531c8ae191587ee8c2997855f6a814f132ffdbec1c54b4dda8f7490af29110b

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:cd2f40489b3d7fca9884e4f5d8ad7887d1d9c187ac5f3ca8de104775edc28389

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.

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