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Paper Citation Record · LEDGER

Modular global-fit pipeline for LISA data analysis

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 16 inbound Pith citation observations for arXiv:2501.10277.

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

pith.paper-citation-record.v1
2501.10277 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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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 2026-08-15T21:35:18.585340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:14:26.019707Z

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 39f18319-e9fb-408c-9a07-56d1fca7c0d2 · outbound

This paper cites an unresolved cited work.

Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 1

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Observation 6bae14ed-5ac2-4757-8c99-463b39d6b2a7 · outbound

This paper cites GB block data.

Modular global-fit pipeline for LISA data analysis GB block data

Reference 2

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Observation 93ec6a1d-c382-481c-9926-1a8119e6bb9b · outbound

This paper cites global” in- teractions. However, we should still allow the chain to “adjust.

Modular global-fit pipeline for LISA data analysis global” in- teractions. However, we should still allow the chain to “adjust

Reference 3

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Observation 0b66033d-1de6-485a-96be-75b601119f74 · outbound

This paper cites fast” and “slow.

Modular global-fit pipeline for LISA data analysis fast” and “slow

Reference 4

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Observation aab1a8b5-a928-463b-96b8-f6b019f07831 · outbound

This paper cites LISA Definition Study Report.

Modular global-fit pipeline for LISA data analysis LISA Definition Study Report

Reference 5

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Observation 4e7cd387-b6d3-40b2-9ae7-931e42420703 · outbound

This paper cites Le Jeune and S.

Modular global-fit pipeline for LISA data analysis Le Jeune and S

Reference 6

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Observation f48b6a08-b969-490d-9af1-bb9ddedf4f2c · outbound

This paper cites An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis.

Modular global-fit pipeline for LISA data analysis An efficient GPU-accelerated multi-source global fit pipeline for LISA data analysis

Reference 7

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Observation f41bd1f7-374f-49f4-905f-ae9f75a02282 · outbound

This paper cites LISA Sensitivity and SNR Calculations.

Modular global-fit pipeline for LISA data analysis LISA Sensitivity and SNR Calculations

Reference 8

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Observation f6469986-a25b-4d25-94b9-6686cf9095c9 · outbound

This paper cites Prototype Global Analysis of LISA Data with Multiple Source Types.

Modular global-fit pipeline for LISA data analysis Prototype Global Analysis of LISA Data with Multiple Source Types

Reference 9

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

This paper cites Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries.

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 bc13436d-8bf2-4071-96db-6a2afa84f5ed · outbound

This paper cites Korol, S.

Modular global-fit pipeline for LISA data analysis Korol, S

Reference 11

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Observation 36c9dd57-6951-40eb-bd83-dffc409ec1ea · outbound

This paper cites Short-period AM CVn systems as optical, X-ray and gravitational wave sources.

Modular global-fit pipeline for LISA data analysis Short-period AM CVn systems as optical, X-ray and gravitational wave sources

Reference 12

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Observation aba69e55-cb93-4b20-a3e0-dca15fd2f894 · outbound

This paper cites Optimal filtering of the LISA data.

Modular global-fit pipeline for LISA data analysis Optimal filtering of the LISA data

Reference 13

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Observation d00f2e8d-65af-45c8-9983-3a2bf1f92bbc · outbound

This paper cites Mock LISA data challenge for the galactic white dwarf binaries.

Modular global-fit pipeline for LISA data analysis Mock LISA data challenge for the galactic white dwarf binaries

Reference 14

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Observation 937d0c6a-c61f-4b44-b8ab-7120c9a07718 · outbound

This paper cites Klein, E.

Modular global-fit pipeline for LISA data analysis Klein, E

Reference 15

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Observation 21caff46-3fd3-4f14-95ea-a9b9815a0c41 · outbound

This paper cites Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era.

Modular global-fit pipeline for LISA data analysis Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era

Reference 16

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Observation 986d0f4b-9313-4f2c-b216-65616b4d3a23 · outbound

This paper cites Exploring the Bayesian parameter estimation of binary black holes with LISA.

Modular global-fit pipeline for LISA data analysis Exploring the Bayesian parameter estimation of binary black holes with LISA

Reference 17

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Observation 5b8aef6f-0ccc-493d-95ac-be284faa08fa · outbound

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 18

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Observation 52388f3c-21b1-4a2a-96b3-704d06808742 · outbound

This paper cites Adaptive Kernel Density Estimation proposal in gravitational wave data analysis.

Modular global-fit pipeline for LISA data analysis Adaptive Kernel Density Estimation proposal in gravitational wave data analysis

Reference 19

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Observation 73c05d55-ec1c-4c66-91f3-a3a661907438 · outbound

This paper cites Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection.

Modular global-fit pipeline for LISA data analysis Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection

Reference 20

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Observation 6b545a3c-583e-42af-b3a1-347f4148f5b4 · outbound

This paper cites Targeted search for continuous gravitational waves: Bayesian versus maximum-likelihood statistics.

Modular global-fit pipeline for LISA data analysis Targeted search for continuous gravitational waves: Bayesian versus maximum-likelihood statistics

Reference 21

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Observation 5d49b84d-5660-4eb0-adb9-5f3cf62bbc3a · outbound

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Modular global-fit pipeline for LISA data analysis Babak and A

Reference 22

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Observation 8e8188fd-1edd-42e4-83d3-2abef1bfd91d · outbound

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Modular global-fit pipeline for LISA data analysis The LISA Response Function

Reference 23

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 24

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Observation 0ddb4c83-e88c-4853-9f3f-9f2bcb31f2c1 · outbound

This paper cites Characterizing the Galactic Gravitational Wave Background with LISA.

Modular global-fit pipeline for LISA data analysis Characterizing the Galactic Gravitational Wave Background with LISA

Reference 25

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 26

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 27

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Observation 3be96a66-86f6-491d-8673-06064879c157 · outbound

This paper cites Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation.

Modular global-fit pipeline for LISA data analysis Relative Binning and Fast Likelihood Evaluation for Gravitational Wave Parameter Estimation

Reference 28

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Observation 18fa09d5-e813-45c6-b5c1-23adda8ded36 · outbound

This paper cites Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference.

Modular global-fit pipeline for LISA data analysis Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference

Reference 29

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Observation 33fb14c4-3754-482e-8efe-7f2cd86f0157 · outbound

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Modular global-fit pipeline for LISA data analysis Fast Fisher Matrices and Lazy Likelihoods

Reference 30

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Modular global-fit pipeline for LISA data analysis Neural density estimation for Galactic Binaries in LISA data analysis

Reference 31

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 32

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 33

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Observation 500d01af-d64a-44c3-a9ae-6a7b92ca9969 · outbound

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Modular global-fit pipeline for LISA data analysis Jaranowski and A

Reference 34

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Observation cb45aee0-b453-4fe9-87e1-3f8fab3a4a28 · outbound

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Modular global-fit pipeline for LISA data analysis Label Switching Problem in Bayesian Analysis for Gravitational Wave Astronomy

Reference 35

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This paper cites Characterization of the stochastic signal originating from compact binaries populations as measured by LISA.

Modular global-fit pipeline for LISA data analysis Characterization of the stochastic signal originating from compact binaries populations as measured by LISA

Reference 36

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Modular global-fit pipeline for LISA data analysis Unresolved cited work

Reference 37

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Observation ca5485de-9833-4d76-84a8-7a4ee1d5970e · outbound

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Modular global-fit pipeline for LISA data analysis Gonzalez, Y

Reference 38

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Observation 1861e40d-8ba3-4cee-89b4-9c9a89ae41cf · outbound

This paper cites Gelman and D.

Modular global-fit pipeline for LISA data analysis Gelman and D

Reference 39

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Source-reported events for the cited work

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Observation 50f97307-27de-47ec-b92a-6d3f5fe3a281 · outbound

This paper cites Storn and K.

Modular global-fit pipeline for LISA data analysis Storn and K

Reference 40

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Source-reported events for the cited work

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Observation 91f620a6-2dd9-498f-b755-2dff2adf546c · outbound

This paper cites Marsat (2025), in preparation.

Modular global-fit pipeline for LISA data analysis Marsat (2025), in preparation

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5ece5253-8be1-40dc-a6bb-ff1070c7cb27 · outbound

This paper cites Rapid parameter estimation for pulsar-timing-array datasets with variational inference and normalizing flows.

Modular global-fit pipeline for LISA data analysis Rapid parameter estimation for pulsar-timing-array datasets with variational inference and normalizing flows

Reference 42

Resolution
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Source-reported events for the cited work

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Pith citing papers

Observation 922ce340-1231-4f26-8e92-f5e7839a91de · 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 Modular global-fit pipeline for LISA data analysis

Reference 99

Resolution
unresolved
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Observation 50372195-e610-4290-bdac-c9ee7a44a2cf · 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 Modular global-fit pipeline for LISA data analysis

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 994ca1e5-1a53-4850-a51f-b7844ecd8e15 · inbound

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

Sequential simulation-based inference for extreme mass ratio inspirals Modular global-fit pipeline for LISA data analysis

Reference 122

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a98301e5-4436-4733-819e-ab53319252c5 · 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 Modular global-fit pipeline for LISA data analysis

Reference 66

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a2b39ac-7052-452c-b9e9-926ca5dac658 · 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 Modular global-fit pipeline for LISA data analysis

Reference 103

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 053421cc-608b-4c4c-ab08-c056a8858109 · 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 Modular global-fit pipeline for LISA data analysis

Reference 27

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 217c3c93-a0ac-40cf-a219-8eec3dae101c · inbound

Science of the LISA mission: A Summary for the European Strategy for Particle Physics cites this paper.

Science of the LISA mission: A Summary for the European Strategy for Particle Physics Modular global-fit pipeline for LISA data analysis

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9923123f-1f7d-47e4-adf1-22da33ec47c7 · 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 Modular global-fit pipeline for LISA data analysis

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 252c1d46-0d3a-4be2-b70a-e8c84a4872a6 · inbound

Flexible Spectral Separation of Multiple Isotropic and Anisotropic Stochastic Gravitational Wave Backgrounds in LISA cites this paper.

Flexible Spectral Separation of Multiple Isotropic and Anisotropic Stochastic Gravitational Wave Backgrounds in LISA Modular global-fit pipeline for LISA data analysis

Reference 72

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d5c787ec-2c6d-475e-9c77-b526c2b140d4 · 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 Modular global-fit pipeline for LISA data analysis

Reference 63

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d11727ef-68fb-443c-873d-bac2e37bad9a · 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 Modular global-fit pipeline for LISA data analysis

Reference 55

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b4e59c69-ccca-4e16-bf85-7aed0cf09bc4 · inbound

Systematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries cites this paper.

Systematic biases in parameter estimation on LISA binaries. II. The effect of excluding higher harmonics for spin-aligned, high-mass binaries Modular global-fit pipeline for LISA data analysis

Reference 58

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9c2d819-3f99-4efd-97e9-c614f7c6f556 · 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 Modular global-fit pipeline for LISA data analysis

Reference 13

Resolution
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Observation 83e7d55b-30f5-4ed5-8de6-b07211020da2 · 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 Modular global-fit pipeline for LISA data analysis

Reference 103

Resolution
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Observation ed96d554-951b-4787-9c7f-dfcd0b794487 · 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 Modular global-fit pipeline for LISA data analysis

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d2743df2-fe22-42d6-8f88-a6e161adca1c · 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 Modular global-fit pipeline for LISA data analysis

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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