Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Statistically-informed deep learning for gravitational wave parameter estimation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1903.01998.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:25:47.509676Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T15:21:44.958376Z
Reference resolution
0 of 0 outbound references displayed
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- malformed identifier0
- metadata mismatch0
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 309a6b94-e5c6-4a3f-80c3-144f62f502ca · inbound
Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks cites this paper.
Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks Statistically-informed deep learning for gravitational wave parameter estimation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:25:47.509676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 769f7c60-3863-423d-be01-2dcd3833b9c6 · inbound
Analytic Waveforms for Eccentric Gravitational Wave Bursts cites this paper.
Analytic Waveforms for Eccentric Gravitational Wave Bursts Statistically-informed deep learning for gravitational wave parameter estimation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:05:21.569839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c689283-6091-49d7-8ef9-8f9b600ab2ee · inbound
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Statistically-informed deep learning for gravitational wave parameter estimation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T15:21:44.960607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 11b59a5c-8761-4063-94b4-4880bb33ce0a · inbound
Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.
Parameter inference of millilensed gravitational waves using neural spline flows Statistically-informed deep learning for gravitational wave parameter estimation
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:22:18.683795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 066e3c19-9ddb-4afb-b864-0a6a7c9183c0 · inbound
Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.
Identifying lensed gravitational waves with physics-informed posterior learning Statistically-informed deep learning for gravitational wave parameter estimation
Reference 155
- 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 e6a1ed3e-5e9f-450c-aee0-a1d146848c48 · 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 Statistically-informed deep learning for gravitational wave parameter estimation
Reference 130
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:42:42.626202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.