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Paper Citation Record · LEDGER

Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.17426.

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

pith.paper-citation-record.v1
2502.17426 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:10.683718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:59:35.309120Z

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 06bbb90b-b9ef-4954-9f7e-854499037221 · inbound

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

Sequential simulation-based inference for extreme mass ratio inspirals Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 46

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Source-reported events for the cited work

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Observation eb7140b6-715a-4e19-8b32-de8ef3ea33e2 · 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 Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 76

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Observation 13a0b93c-7820-45e8-853d-856f2a37399a · inbound

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge cites this paper.

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 48

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no resolver link, observed 2026-08-07T00:25:53.186702Z

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Observation 0713e5a4-75fb-40a5-9690-1b3c79f064cc · inbound

A Kalman-smoother based data imputation strategy to data gaps in spaceborne gravitational wave detectors cites this paper.

A Kalman-smoother based data imputation strategy to data gaps in spaceborne gravitational wave detectors Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 17

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unresolved
no resolver link, observed 2026-08-06T20:38:17.355228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5dd2ba62-0d99-43a5-bb18-61e2fda75272 · inbound

Identifying galactic binary systems of neutron stars and black holes with LISA cites this paper.

Identifying galactic binary systems of neutron stars and black holes with LISA Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 13

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unresolved
no resolver link, observed 2026-08-06T17:19:14.140988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3f61621-d9bc-4dfc-bff6-be9299ebe5d8 · 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 Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 12

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arxiv_id, observed 2026-05-18T18:32:47.156752Z

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Observation 4e680b0b-4d23-48c0-9897-7d1934a9650b · inbound

Global time-frequency search for stellar-mass binary black holes in LISA cites this paper.

Global time-frequency search for stellar-mass binary black holes in LISA Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 65

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verified exact
arxiv_id, observed 2026-05-25T08:05:31.095435Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5fea9cda-f6c0-4a82-afc1-3a458b19893f · inbound

Flexible Gravitational-Wave Parameter Estimation with Transformers cites this paper.

Flexible Gravitational-Wave Parameter Estimation with Transformers Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

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Observation 7cf59e02-fa7f-4f6e-8688-e8df67e171b9 · inbound

Gravitational-wave parameter estimation to the Moon and back: massive binaries and the case of GW231123 cites this paper.

Gravitational-wave parameter estimation to the Moon and back: massive binaries and the case of GW231123 Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:11:20.848236Z

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Observation 2fcf4fde-af9f-412e-8a95-3fb8a9fd1277 · 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 Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 20

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verified exact
arxiv_id, observed 2026-05-16T21:38:34.088192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation afef530a-d8ea-4b63-af05-8b751ec72997 · inbound

Detection of Lensed Gravitational Waves in the Millihertz Band Using Frequency-Domain Lensing Feature Extraction Network cites this paper.

Detection of Lensed Gravitational Waves in the Millihertz Band Using Frequency-Domain Lensing Feature Extraction Network Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 68

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verified exact
arxiv_id, observed 2026-05-16T20:11:13.182167Z

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Observation 16274f46-0d57-4c13-926c-66d18f2b490c · inbound

The geometry of lunar gravitational wave detection cites this paper.

The geometry of lunar gravitational wave detection Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 50

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arxiv_id, observed 2026-07-02T09:46:50.041396Z

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Observation 9643ef72-25af-4089-b977-dacf05ea53c2 · inbound

An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis cites this paper.

An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 44

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Observation 238db88f-5f91-4f68-9766-986d4660dcbc · inbound

An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis cites this paper.

An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis Mind the gap: addressing data gaps and assessing noise mismodeling in LISA

Reference 44

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