Paper Citation Record · LEDGER

Extraction of gravitational wave signals from LISA data in the presence of artifacts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.13402.

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

pith.paper-citation-record.v1
2411.13402 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:10.552236Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:14:26.067595Z

Reference resolution

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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 5c1e8bf9-7838-487d-9840-e3f6a0dec5db · inbound

Sequential simulation-based inference for extreme mass ratio inspirals cites this paper.

Sequential simulation-based inference for extreme mass ratio inspirals Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:10.552236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ed0ef3-f64b-419e-8a13-5720550c1d6c · inbound

Enhancing Taiji's Parameter Estimation under Non-Stationarity: a Time-Frequency Domain Framework for Galactic Binaries and Instrumental Noises cites this paper.

Enhancing Taiji's Parameter Estimation under Non-Stationarity: a Time-Frequency Domain Framework for Galactic Binaries and Instrumental Noises Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:56.486566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03a75c9-17f5-4543-bd59-3b71d1522cef · inbound

Handling Data Gaps for the Next Generation of Gravitational-Wave Observatories cites this paper.

Handling Data Gaps for the Next Generation of Gravitational-Wave Observatories Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:32:47.165554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ee611e1-a4bd-458f-9156-700131a1c52c · inbound

First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals cites this paper.

First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:38:34.140148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e710594d-e085-4332-85a5-efd0f6928fa1 · 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 Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:41:05.310031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33c38e06-f744-4623-bf04-780bc3bb9fe2 · inbound

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets cites this paper.

Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:42:31.316989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e1fa902-d698-488e-bade-a8d116538ffd · inbound

Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.

Neural posterior estimation of Galactic Binary signals for the LISA mission Extraction of gravitational wave signals from LISA data in the presence of artifacts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:14:26.069756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.