Paper Citation Record · LEDGER

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2507.09091.

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

pith.paper-citation-record.v1
2507.09091 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:06.267871Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:13:04.839923Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:14:06.376344Z

Reference resolution

26 of 26 outbound references displayed

verified exact3
verified fuzzy23
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 438c1972-ea93-4376-80b6-93cc6bc4a05d · outbound

This paper cites Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.379760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e9bbab4-11d6-48f8-8eef-38db5979833e · outbound

This paper cites columns” of the operator “matrix.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA columns” of the operator “matrix

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.662912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e4ef8e1-3fa2-418a-8f4d-3c144f4336e1 · outbound

This paper cites First, we examine the case of extracting face features via PCA (eigenfaces), but from irregularly sampled images.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA First, we examine the case of extracting face features via PCA (eigenfaces), but from irregularly sampled images

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.653389Z

Source-reported events for the cited work

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Observation 14edbdb6-2e7b-4b01-8826-130e06297f5b · outbound

This paper cites This general setup allows performing these decompositions on, and extract latent source signals from, irregularly sampled signals where it otherwise would not have been possible.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA This general setup allows performing these decompositions on, and extract latent source signals from, irregularly sampled signals where it otherwise would not have been possible

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.643334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0104ccd8-3a1a-417c-b3ca-c6147b6aeedf · outbound

This paper cites A Tutorial on Principal Component Analy- sis,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA A Tutorial on Principal Component Analy- sis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.635072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3adb1b2-e060-49ae-83f6-bcb9502887c9 · outbound

This paper cites EM Algorithms for PCA and SPCA,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA EM Algorithms for PCA and SPCA,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.626586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d6ea245-8fe0-4d8e-a1e0-f251eda4065f · outbound

This paper cites Wiley, New York, 2001.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Wiley, New York, 2001

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.615382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8cf3bd71-a721-4fa6-a5b8-f35d07c2e8bf · outbound

This paper cites A Unifying Review of Linear Gaussian Models,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA A Unifying Review of Linear Gaussian Models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.606502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c87a2e6-2565-48df-8568-c55889f121f7 · outbound

This paper cites A New Learning Algorithm for Blind Signal Separation,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA A New Learning Algorithm for Blind Signal Separation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.595435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b963ec4-cbbd-40b1-bb47-7b23707437f6 · outbound

This paper cites Source separation using higher order mo- ments,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Source separation using higher order mo- ments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.584018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44031c81-3d01-44c9-9ee7-9d1431557d4b · outbound

This paper cites Nonlinear indepen- dent component analysis for discrete-time and continuous-time signals,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Nonlinear indepen- dent component analysis for discrete-time and continuous-time signals,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.573458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66e17b40-53e3-49fb-9f2e-fc60cacce4dd · outbound

This paper cites Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.561996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0940f398-efa3-4bbc-8ee3-009407c81694 · outbound

This paper cites Func- tional data analysis for sparse longitudinal data,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Func- tional data analysis for sparse longitudinal data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.552641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81c481fe-314d-4719-ad22-a3b5cbc444b8 · outbound

This paper cites Nonlinear Functional Principal Component Analysis Using Neural Networks.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Nonlinear Functional Principal Component Analysis Using Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.356538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 007369fd-77b8-4852-950f-10c8be423eab · outbound

This paper cites Random functions with orthogonal exponen- tial decomposition,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Random functions with orthogonal exponen- tial decomposition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.543380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecd310f6-7f98-4e1a-9946-fa587fe1f2b6 · outbound

This paper cites Levy, Karhunen Loeve Expansion of Gaussian Pro- cesses, pp.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Levy, Karhunen Loeve Expansion of Gaussian Pro- cesses, pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.531998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8544b113-1312-444e-aae6-864e4d81d826 · outbound

This paper cites Fourier Fea- tures Let Networks Learn High Frequency Functions in Low Dimensional Domains,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Fourier Fea- tures Let Networks Learn High Frequency Functions in Low Dimensional Domains,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.521161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78f7872b-6ac8-46d3-945b-d76455969645 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Implicit neural representa- tions with periodic activation functions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.507046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e7fe6c9-b91d-4371-884c-c1c35c5a0a02 · outbound

This paper cites Nerf: representing scenes as neural radiance fields for view synthe- sis,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Nerf: representing scenes as neural radiance fields for view synthe- sis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.488160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 659e6a86-d2b0-4f14-afe7-18db94816ecd · outbound

This paper cites Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:14:06.337089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d4c1a4b-5659-442c-96b2-c8df4dffcc75 · outbound

This paper cites Point Cloud Audio Processing,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Point Cloud Audio Processing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.467628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8cb1049-f0cb-44ed-bda9-f249b4e605bf · outbound

This paper cites Robust learn- ing algorithm for blind separation of signals,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Robust learn- ing algorithm for blind separation of signals,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.455035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73faeeb1-9470-485c-9b96-5d0a1dcaace2 · outbound

This paper cites Blind source separation- semiparametric statistical approach,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Blind source separation- semiparametric statistical approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.442062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed905120-6fc3-4cfe-8269-a97c2bcb427e · outbound

This paper cites CBCL Face Database #1, MIT Center For Biological and Computation Learning,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA CBCL Face Database #1, MIT Center For Biological and Computation Learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.432311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e843cac9-8565-421f-bc64-cf16c280ec46 · outbound

This paper cites Calculation of a constant Q spectral trans- form,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Calculation of a constant Q spectral trans- form,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.423316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c0cbdc7-b41f-40fe-85f4-4f242cf2d36d · outbound

This paper cites Constructing an invertible constant-Q trans- form with nonstationary Gabor frames,.

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA Constructing an invertible constant-Q trans- form with nonstationary Gabor frames,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:14:06.403656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 438c1972-ea93-4376-80b6-93cc6bc4a05d · inbound