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Paper Citation Record · LEDGER

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.09632.

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

pith.paper-citation-record.v1
2509.09632 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T17:33:37.594218Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • verified fuzzy2
  • unresolved5
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 565ec056-a1e3-4133-8338-d97eea4f21a4 · outbound

This paper cites an unresolved cited work.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation c54ad482-a9d6-465b-bac5-d89eefa39ba2 · outbound

This paper cites an unresolved cited work.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 2

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raw_fallback, observed 2026-05-18T17:36:42.305802Z

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Observation 5e7d46ce-10b5-4f06-a708-742a2c64ecbd · outbound

This paper cites Cardoso, IEEE Transactions on Signal Processing,45(11), 2692–2700 (1997).

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Cardoso, IEEE Transactions on Signal Processing,45(11), 2692–2700 (1997)

Reference 3

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raw_fallback, observed 2026-05-18T17:36:42.302664Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5d6fb2ae-d50d-4ddd-84f0-7f4ffff21446 · outbound

This paper cites Toward the detection of gravitational waves under non-Gaussian noises II. Independent Component Analysis.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Toward the detection of gravitational waves under non-Gaussian noises II. Independent Component Analysis

Reference 4

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local_arxiv, observed 2026-05-18T17:36:41.360407Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9bb9dd50-bb21-4c08-bee3-8074fe8e103e · outbound

This paper cites Automatic cross-talk removal from multi-channel data.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Automatic cross-talk removal from multi-channel data

Reference 5

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local_arxiv, observed 2026-05-18T17:36:41.316101Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation aa6a72fa-ef85-401f-8c74-07dbb207947b · outbound

This paper cites Active noise cancellation in a suspended interferometer.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Active noise cancellation in a suspended interferometer

Reference 6

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local_arxiv, observed 2026-05-18T17:36:41.334920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 81c006a3-71e4-4bfa-b3bd-1ae8ca3db73d · outbound

This paper cites Regression of Environmental Noise in LIGO Data.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Regression of Environmental Noise in LIGO Data

Reference 7

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verified exact
local_arxiv, observed 2026-05-18T17:36:41.330291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6af97f63-99c2-4448-87cc-14f1ab57ae48 · outbound

This paper cites Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO

Reference 8

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verified exact
local_arxiv, observed 2026-05-18T17:36:41.325901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 44e7e8a5-ce9e-4495-933b-84a415146d79 · outbound

This paper cites Improving the Sensitivity of Advanced LIGO Using Noise Subtraction.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Improving the Sensitivity of Advanced LIGO Using Noise Subtraction

Reference 9

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local_arxiv, observed 2026-05-18T17:36:41.311328Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 64f988dc-e717-4fba-b092-511b25b478ec · outbound

This paper cites Akutsu et al., PTEP,2020(5), 053F01 (2020).

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Akutsu et al., PTEP,2020(5), 053F01 (2020)

Reference 10

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arxiv_id, observed 2026-05-18T17:36:41.341324Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 22cae14a-6d0c-4bb2-a82a-354facf8ad2e · outbound

This paper cites Machine-learning non-stationary noise out of gravitational wave detectors.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Machine-learning non-stationary noise out of gravitational wave detectors

Reference 11

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arxiv_id, observed 2026-05-18T17:36:41.379403Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 650be4f9-b590-4998-bfb7-1dc735f31432 · outbound

This paper cites Noise Reduction in Gravitational-wave Data via Deep Learning.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Noise Reduction in Gravitational-wave Data via Deep Learning

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-18T17:36:41.374503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2260f818-04f5-4aa2-9168-6d95dc008f37 · outbound

This paper cites Reduction of transient noise artifacts in gravitational-wave data using deep learning.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Reduction of transient noise artifacts in gravitational-wave data using deep learning

Reference 13

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arxiv_id, observed 2026-05-18T17:36:41.354962Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4fc8aa15-7164-47bc-b6d4-febd498a9fc4 · outbound

This paper cites Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks

Reference 14

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arxiv_id, observed 2026-05-18T17:36:41.365223Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ae78a827-5869-41bd-9de4-59a4e74db907 · outbound

This paper cites Abe et al., Class.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Abe et al., Class

Reference 15

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arxiv_id, observed 2026-05-18T17:36:41.388658Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5c88c581-38d0-4593-95c3-6ee7abf7c6cd · outbound

This paper cites Weizmann Kiendrebeogo, Muhammed Saleem, Marie Anne Bizouard, Nelson Christensen, Michael W.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Weizmann Kiendrebeogo, Muhammed Saleem, Marie Anne Bizouard, Nelson Christensen, Michael W

Reference 16

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arxiv_id, observed 2026-05-18T17:36:41.321082Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 23320d0c-9d39-4895-9a5d-079af80c9f24 · outbound

This paper cites an unresolved cited work.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 17

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raw_fallback, observed 2026-05-18T17:36:42.296617Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d12a5d09-666d-4b6f-b7ed-8e40f67e22fb · outbound

This paper cites Identifying noise transients in gravitational-wave data arising from nonlinear couplings.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Identifying noise transients in gravitational-wave data arising from nonlinear couplings

Reference 18

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arxiv_id, observed 2026-05-18T17:36:41.369680Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 27022db5-9b51-4286-a832-f85d705c2c2d · outbound

This paper cites an unresolved cited work.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 19

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raw_fallback, observed 2026-05-18T17:36:42.299353Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1d05cff9-7222-429b-a843-22d11d2c6e4b · outbound

This paper cites Kullback and R.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Kullback and R

Reference 20

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raw_fallback, observed 2026-05-18T17:36:42.290561Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e7c7ed95-f4b8-4433-a9d0-9f63b3ec5bb8 · outbound

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Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6b6b00e8-e930-4b1b-8df6-1141ac82faaf · outbound

This paper cites an unresolved cited work.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Unresolved cited work

Reference 22

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arxiv_id, observed 2026-05-18T17:36:41.350578Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T17:33:37.594218Z digest=sha256:384dc4a9193190ffdea46053c47ed93c874468fd9bf6bd0c5300fd66e1c59a12

Observation 1961bd89-b520-48e4-a822-f8d3fb181e44 · outbound

This paper cites Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning

Reference 23

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arxiv_id, observed 2026-05-18T17:36:41.306147Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 998c4df5-4fa4-4998-8b6c-02e48853bf26 · outbound

This paper cites Method for environmental noise estimation via injection tests for ground-based gravitational wave detectors.

Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Method for environmental noise estimation via injection tests for ground-based gravitational wave detectors

Reference 24

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arxiv_id, observed 2026-05-18T17:36:41.384084Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Pith citing papers

No inbound Pith citation observations are available.