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Paper Citation Record · LEDGER

Generation of Correlated Time Series for X-ray Astronomy Applications

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.02584.

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

pith.paper-citation-record.v1
2608.02584 v1

Coverage vector

measured 17 of 17 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T04:21:53.347385Z

measured 17 of 17 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

17 of 17 outbound references displayed

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External citation measurements

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Outbound references

Observation f3995cfa-014e-4d57-88ec-d385f2caf6e3 · outbound

This paper cites Investigatingafluctuating-accretion model for the spectral-timing properties of accreting black hole systems,MNRAS,367(2), 801–814.

Generation of Correlated Time Series for X-ray Astronomy Applications Investigatingafluctuating-accretion model for the spectral-timing properties of accreting black hole systems,MNRAS,367(2), 801–814

Reference 1

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Observation 8d9d2077-00fc-419d-b84d-6bdb64b0869e · outbound

This paper cites an unresolved cited work.

Generation of Correlated Time Series for X-ray Astronomy Applications Unresolved cited work

Reference 2

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Observation b7ab0ddb-2296-4085-9c02-bcb74c8b2939 · outbound

This paper cites For two functionsf(ˆB)and g( ˆB)of the estimator vector, the covariance is Cov(f( ˆB), g(ˆB))≈(∇f) T · Σ n · ∇g(B1) where gradients are evaluated at the true value,B(Graybill 1983).

Generation of Correlated Time Series for X-ray Astronomy Applications For two functionsf(ˆB)and g( ˆB)of the estimator vector, the covariance is Cov(f( ˆB), g(ˆB))≈(∇f) T · Σ n · ∇g(B1) where gradients are evaluated at the true value,B(Graybill 1983)

Reference 4

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Observation 5c2109b3-466d-43c9-8d43-bfd9ad7fbea9 · outbound

This paper cites M., 2007.Introduction to variance estimation, Statis- tics for social and behavioral sciences, Springer, New York, 2nd edn.

Generation of Correlated Time Series for X-ray Astronomy Applications M., 2007.Introduction to variance estimation, Statis- tics for social and behavioral sciences, Springer, New York, 2nd edn

Reference 10

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Observation a440e64c-6742-467c-b8d2-0d271b63370e · outbound

This paper cites an unresolved cited work.

Generation of Correlated Time Series for X-ray Astronomy Applications Unresolved cited work

Reference 13

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Observation e92c6d57-86fd-4002-9c76-ebc23c1c2de5 · outbound

This paper cites (C3) The measured signals are proportional to each other at all times, so their coherence is identically unity.

Generation of Correlated Time Series for X-ray Astronomy Applications (C3) The measured signals are proportional to each other at all times, so their coherence is identically unity

Reference 14

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Observation 6eac3a3f-f764-4d80-8aa9-f635cf0b496d · outbound

This paper cites practical steps.

Generation of Correlated Time Series for X-ray Astronomy Applications practical steps

Reference 15

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Observation ed3863e0-dec4-4062-af70-95c7f5486f40 · outbound

This paper cites Fi- nally, we will neglect the DC and Nyquist frequency compo- nents becauseW 0,j′ andW N/2,j′ vanish forj ′ ∈[1, Ns/2−1].

Generation of Correlated Time Series for X-ray Astronomy Applications Fi- nally, we will neglect the DC and Nyquist frequency compo- nents becauseW 0,j′ andW N/2,j′ vanish forj ′ ∈[1, Ns/2−1]

Reference 16

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Observation 7bacfad2-49fc-4785-bd38-e2834f379ed0 · outbound

This paper cites Applications of these methods to synthetic data could produce synthetic timeseries which better match their input properties.

Generation of Correlated Time Series for X-ray Astronomy Applications Applications of these methods to synthetic data could produce synthetic timeseries which better match their input properties

Reference 1984

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Observation c49b31d8-92e9-4d5e-902b-a7f1a4050098 · outbound

This paper cites Percival, D.

Generation of Correlated Time Series for X-ray Astronomy Applications Percival, D

Reference 1993

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Generation of Correlated Time Series for X-ray Astronomy Applications Unresolved cited work

Reference 2003

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Observation fde6ccbc-6296-46b8-83a8-bc915a17f8fe · outbound

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Generation of Correlated Time Series for X-ray Astronomy Applications Unresolved cited work

Reference 2014

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Observation fc385440-6964-4744-9c57-baa7850b21b6 · outbound

This paper cites Statistical properties of Fourier-based time-lag estimates.

Generation of Correlated Time Series for X-ray Astronomy Applications Statistical properties of Fourier-based time-lag estimates

Reference 2016

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Generation of Correlated Time Series for X-ray Astronomy Applications Unresolved cited work

Reference 2019

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Observation 502d99c5-bf5e-4f53-a7fa-727e824fc26c · outbound

This paper cites Bachetti, M., Huppenkothen, D., Stevens, A., Swinbank, J., Mas- troserio, G., Lucchini, M., Lai, E.

Generation of Correlated Time Series for X-ray Astronomy Applications Bachetti, M., Huppenkothen, D., Stevens, A., Swinbank, J., Mas- troserio, G., Lucchini, M., Lai, E

Reference 2022

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Observation 4bb1391f-5b9e-4730-9d6d-12f9ced38f85 · outbound

This paper cites Graybill, F.

Generation of Correlated Time Series for X-ray Astronomy Applications Graybill, F

Reference 2025

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Observation ae50244e-c203-4f68-8001-27b9a1056684 · outbound

This paper cites Bendat, J.

Generation of Correlated Time Series for X-ray Astronomy Applications Bendat, J

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.