Paper Citation Record · LEDGER

Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1711.03121.

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

pith.paper-citation-record.v1
1711.03121 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:05:21.545146Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

379
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df4ba9d7-49b0-4b14-91ae-c2ac4f3da35c · inbound

Analytic Waveforms for Eccentric Gravitational Wave Bursts cites this paper.

Analytic Waveforms for Eccentric Gravitational Wave Bursts Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-14T05:05:21.545146Z

Source-reported events for the cited work

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Observation e52b4274-02ae-4483-a706-ed13a7f9bd6d · inbound

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue cites this paper.

Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 288

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T21:55:02.606688Z

Source-reported events for the cited work

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Observation 3cdfdd37-3d35-44fb-b806-5192f26dd388 · 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 Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-11T11:42:50.310780Z

Source-reported events for the cited work

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Observation bf45769b-0dae-4f5d-9f23-517fc414a327 · inbound

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run cites this paper.

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:54:51.969905Z

Source-reported events for the cited work

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Observation 5b17b36f-ec42-418e-b53c-bae7a3107350 · inbound

Extracting Properties of Dark Dense Environments around Black Holes from Gravitational Waves cites this paper.

Extracting Properties of Dark Dense Environments around Black Holes from Gravitational Waves Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:00:47.856891Z

Source-reported events for the cited work

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Observation 7288d5da-c63e-4ccd-8f89-c71ba2de9e70 · inbound

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 144

Resolution: verified exact; local_arxiv, observed 2026-05-21T03:33:56.222669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5fcd285-2391-4abc-8ef0-d8f5951b3f67 · inbound

Identifiability of $g$ mode Resonances in Eccentric Binary Neutron Stars with Multidetector Observations cites this paper.

Identifiability of $g$ mode Resonances in Eccentric Binary Neutron Stars with Multidetector Observations Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T12:38:08.000015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e81647e-77c5-4f74-a027-3a9758bc39d9 · inbound

Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning cites this paper.

Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-07-04T07:39:38.301614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad9e5ba9-2a7c-4af0-bd91-72f2cc3e3ff6 · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 123

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 fca3260f-677b-4a54-afd5-f2ce8cde9588 · inbound

Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data cites this paper.

Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T23:07:55.601390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.