Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gravitational wave populations and cosmology with neural posterior estimation
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2311.12093.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:50.693323Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T13:22:18.476103Z
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 b52c4e87-81ee-492f-b57f-60add088cf23 · inbound
Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.
Applications of machine learning in gravitational wave research with current interferometric detectors Gravitational wave populations and cosmology with neural posterior estimation
Reference 255
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:42:50.693323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5321f870-75b1-4dcb-adcc-e47cd355a2a4 · inbound
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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:01.682073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ce1411e-bd11-4348-a732-375ca12d9d3c · inbound
Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.
Parameter inference of millilensed gravitational waves using neural spline flows Gravitational wave populations and cosmology with neural posterior estimation
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:22:18.493518Z
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 6fe0c24e-9e93-4de2-8da8-ea71469382a2 · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:52:12.287042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc5d357f-8ca9-4b78-a46c-8d9d133c9a90 · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:37:03.802440Z
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 a9fea4fc-fbfa-4ad9-bd9e-c124c3c44b9e · inbound
When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference cites this paper.
When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference Gravitational wave populations and cosmology with neural posterior estimation
Reference 102
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5daa8210-9182-44c2-a864-ec7530fe5e73 · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:06:39.224147Z
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 c94c1cb6-8aff-4696-9c13-30b8b96f7b2d · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:37:24.033650Z
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 cb3a4dcf-87ee-44e3-983d-9dbfeab9e0b0 · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:45:24.093990Z
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 200987f4-c13d-49f6-a771-417f15345a2f · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:02:06.075255Z
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 1fc0a3ee-aefd-4f5d-ac77-525228402bdd · inbound
Fortifying gravitational-wave population inference with normalizing flows cites this paper.
Fortifying gravitational-wave population inference with normalizing flows Gravitational wave populations and cosmology with neural posterior estimation
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:36:03.356770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bef4268-3ba5-4be1-b010-9f781030b7f5 · inbound
Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.
Identifying lensed gravitational waves with physics-informed posterior learning Gravitational wave populations and cosmology with neural posterior estimation
Reference 157
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:16:00.672720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972d9cd4-47d0-4b51-8fd9-ea2cbc8f640f · 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 Gravitational wave populations and cosmology with neural posterior estimation
Reference 133
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.