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Paper Citation Record · LEDGER

Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.15318.

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pith.paper-citation-record.v1
2403.15318 v3

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measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:35:18.598536Z

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Pith citing papers

Observation aa01927b-4855-4a87-96f5-bb787c621821 · inbound

Modular global-fit pipeline for LISA data analysis cites this paper.

Modular global-fit pipeline for LISA data analysis Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 10

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Observation 3220a0d9-6be0-4d49-a91b-5a43862530e6 · inbound

Reconstructing Primordial Curvature Perturbations via Scalar-Induced Gravitational Waves with LISA cites this paper.

Reconstructing Primordial Curvature Perturbations via Scalar-Induced Gravitational Waves with LISA Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 59

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Observation 32ffea7a-041f-4149-a43f-08cc43d31abd · inbound

The implications of stochastic gas torques for asymmetric binaries in the LISA band cites this paper.

The implications of stochastic gas torques for asymmetric binaries in the LISA band Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 96

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Observation 194d4b4e-7f72-46d5-bd84-5359f11bb008 · inbound

Accelerating the time-domain LISA response model with central finite differences and hybridization techniques cites this paper.

Accelerating the time-domain LISA response model with central finite differences and hybridization techniques Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 32

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Observation 56be4b7c-be8a-4ddc-9b38-e5d1fc764e28 · inbound

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

Sequential simulation-based inference for extreme mass ratio inspirals Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 121

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Observation e04dd860-9e4d-43fc-9f02-a923de313e04 · inbound

A pipeline for searching and fitting instrumental glitches in LISA data cites this paper.

A pipeline for searching and fitting instrumental glitches in LISA data Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 65

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Observation 834fa9ba-d525-43ea-907f-9433b828cdca · inbound

Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data cites this paper.

Multiband parameter estimation with phase coherence and extrinsic marginalization: Extracting more information from low-SNR CBC signals in LISA data Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 101

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Observation 86c3feae-dd71-4729-81a4-87052e5b168b · 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 Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 87

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Observation 971bf9c0-0d0d-448b-bac6-ba7e6bab4942 · inbound

\texttt{GWBird}: a toolkit for the characterization of the Stochastic Gravitational Wave Background for Ground, Space, and Pulsar Timing Array detectors cites this paper.

\texttt{GWBird}: a toolkit for the characterization of the Stochastic Gravitational Wave Background for Ground, Space, and Pulsar Timing Array detectors Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 25

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Observation ac9ca01c-6fda-43f5-a2e2-4cae59109951 · inbound

When vacuum breaks: a self-consistency test for astrophysical environments in extreme mass ratio inspirals cites this paper.

When vacuum breaks: a self-consistency test for astrophysical environments in extreme mass ratio inspirals Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 64

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Observation 02ed2657-627e-438d-8747-184ea8afe0be · 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 Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 56

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arxiv_id, observed 2026-05-16T21:38:34.075319Z

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Observation 47b21bc9-1173-4eed-b2bc-ee77790cc001 · inbound

Toward claiming a detection of gravitational memory cites this paper.

Toward claiming a detection of gravitational memory Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 198

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Observation e86e2b18-ba37-42ae-a84d-75cfd1d50356 · inbound

Inferring the population properties of galactic binaries from LISA's stochastic foreground cites this paper.

Inferring the population properties of galactic binaries from LISA's stochastic foreground Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 12

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Observation 469733cf-f5c7-4dd1-a212-f648e8c70acf · 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 Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 26

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Observation 6abc4f0e-77d4-460f-93fa-64bfb73fdb93 · inbound

Ringdown Signatures of Dehnen Dark Matter Halos: Fluid Modes and Detectability with Space-Based Detectors cites this paper.

Ringdown Signatures of Dehnen Dark Matter Halos: Fluid Modes and Detectability with Space-Based Detectors Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 104

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Observation a0e022fd-5b4b-4179-9f58-db2cc25048e0 · inbound

Residual Galactic binary foreground in LISA stochastic gravitational-wave background inference: source power concentration and spectral degeneracy cites this paper.

Residual Galactic binary foreground in LISA stochastic gravitational-wave background inference: source power concentration and spectral degeneracy Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Reference 19

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