Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
New Gravitational Wave Discoveries Enabled by Machine Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.07820.
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 2026-08-11T11:42:50.629460Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:46:14.820881Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- 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 c58899da-2be2-4a2d-b191-ae7c380721b3 · 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 New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 242
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:42:50.629460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cbcf206-62ec-4048-909e-95d8d3144dd6 · inbound
Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves cites this paper.
Pre-trained Audio Transformer as a Foundational AI Tool for Gravitational Waves New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 51
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T23:15:32.576894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 981301c7-6aa6-4f31-95dd-0c32172d71ad · inbound
A machine learning-enabled search for binary black hole mergers in LIGO-Virgo-KAGRAs third observing run cites this paper.
A machine learning-enabled search for binary black hole mergers in LIGO-Virgo-KAGRAs third observing run New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:02.063348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11cf93ac-c44b-4251-ba69-bb3b70ac1b65 · inbound
Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation cites this paper.
Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:53.965204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be02d2da-8aab-4151-a7e2-c009398e34a4 · inbound
Flexible Gravitational-Wave Parameter Estimation with Transformers cites this paper.
Flexible Gravitational-Wave Parameter Estimation with Transformers New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:59:09.787827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c6de2b7-8056-4d51-87d5-0778c5e4d3eb · inbound
Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run cites this paper.
Searching for binary black hole mergers with deep learning in Advanced LIGO's third observing run New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:39:17.125400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc0d3332-9d57-48a0-9077-78a64d9631e8 · inbound
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis cites this paper.
Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:55:47.844518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43617c77-05e1-4632-bfa3-4b5725101882 · inbound
GW190711_030756 and GW200114_020818: astrophysical interpretation of two asymmetric binary black hole mergers in the IAS catalog cites this paper.
GW190711_030756 and GW200114_020818: astrophysical interpretation of two asymmetric binary black hole mergers in the IAS catalog New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:35:51.516903Z
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 4f4ae153-7c0a-4ffe-90e8-58b3d4b1213d · inbound
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective New Gravitational Wave Discoveries Enabled by Machine Learning
Reference 280
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:46:14.823957Z
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.