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Paper Citation Record · LEDGER

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.05677.

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

pith.paper-citation-record.v1
2408.05677 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:24.079031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.853082Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ee06d11-9df4-4bcd-98ef-702fab1b5382 · inbound

Generalized Least Squares Kernelized Tensor Factorization cites this paper.

Generalized Least Squares Kernelized Tensor Factorization Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T19:16:29.479790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:16:29.479790Z digest=sha256:3fcce3fdc56921d64fbfb6695319530986eb05c57bdc62e97d40951b8904f65e

Observation 6f692e7b-3ca6-4cdb-84c0-eaf6a8e44f31 · inbound

Matrices over a Hilbert space and their low-rank cross approximation cites this paper.

Matrices over a Hilbert space and their low-rank cross approximation Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:21:24.079031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:21:24.079031Z digest=sha256:2cfffcc73927dbf5a5cefd223c8a7a077b436801f2a01e3668582f31226a48cc

Observation 2deb85f6-594d-4660-8617-9c551a02eb33 · inbound

Smooth tensor decomposition with application to ambulatory blood pressure monitoring data cites this paper.

Smooth tensor decomposition with application to ambulatory blood pressure monitoring data Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:01.454339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:01.454339Z digest=sha256:2c9aeb5f3678f9f1f081b8a1a6f06d081364277ab61720db8ab00cf8f4d590ec

Observation 50efbaaf-84d3-4b31-b100-d510417f266c · inbound

Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces cites this paper.

Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:42.786790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:42.786790Z digest=sha256:1ee7a180374262591e7efb31f49a7839897cbc1a4d0647606a499d71e1643528

Observation 06febab5-1cef-454e-8318-7db2bc98993d · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:31:44.010142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T18:30:59.391006Z digest=sha256:79f02589dbd59618bd334196abb3e1e3a394e70cb084f8f9655d85c05d173cfd

Observation 37b410b1-467b-4bf9-a614-48a2a683aa5d · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T05:35:15.170867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:35:15.170867Z digest=sha256:2f1de0cadea10b07aff1abd3a36ee0de42ef315eeb350f17a88eda547b4ec633

Observation f4d2a0d9-f472-4f82-9f02-20eca91c9fb8 · inbound

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation cites this paper.

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:55.227494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:55.227494Z digest=sha256:d288c61d4996f82bf12944096ade2419754f33e65183f83f555fc8839f09a873

Observation 08c198c9-cd7f-412b-97a6-4f0e74cbf886 · inbound

Low-rank Distributional Matrix Completion cites this paper.

Low-rank Distributional Matrix Completion Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:26.854770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T10:55:58.047096Z digest=sha256:37f59f6d7980a3cdcee7cb8f5e5166c62223a37673da9f9d60cec996bb106584

Observation 4b66c447-33d0-4801-92e0-c307e9176146 · inbound

Kernel Regression with Tensor Trains and Hadamard Overparameterization cites this paper.

Kernel Regression with Tensor Trains and Hadamard Overparameterization Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T18:09:38.615993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:09:38.615993Z digest=sha256:b305609950ad902f8c548edbe7f2e6df5d8131ee72887bf9e703ccaa5a52824b