Paper Citation Record · LEDGER

Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.15684.

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

pith.paper-citation-record.v1
2210.15684 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:21:20.627105Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:36:25.344625Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 64daf649-b0f8-4160-aec1-971de0b76c31 · inbound

Data-driven approach for extracting tidal information from neutron star binary mergers observed with the Einstein Telescope cites this paper.

Data-driven approach for extracting tidal information from neutron star binary mergers observed with the Einstein Telescope Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T19:21:20.627105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17d4b3b-5dd0-48b7-8435-07cc21ac7dd2 · inbound

Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants cites this paper.

Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T13:11:53.411476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1abcd0-81b8-4b42-a714-08ad31b5bd14 · inbound

Revisiting GW150914 with a non-planar, eccentric waveform model cites this paper.

Revisiting GW150914 with a non-planar, eccentric waveform model Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 271

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:36.501715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba36887-7366-4a42-ab6c-df0932f80ad5 · inbound

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries cites this paper.

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:32.583562Z

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 0a463e5b-0cfd-4781-ad81-d9ee61a02041 · inbound

Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences cites this paper.

Speed and accuracy for long signals: Frequency-domain effective-one-body waveforms for compact binary coalescences Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:36:25.346189Z

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 8dd6481e-07e4-4d32-a5e3-861023f72840 · inbound

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-31T04:58:16.797073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.