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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:09:01.454339Z

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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  • verified fuzzy0
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  • malformed identifier0
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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 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:b95527a25259cbe3514ae498a5b774fc6dcae63b1f6333b3ab906f13803b3a99

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=sha256:8c2fb7e169a6284fb5eb83b4e40d9f2ab3d780f913108186cb741d1386277dce

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T18:30:59.391006Z digest=sha256:6aec72ebe7dd651892eadf72728b5088a90d2dfd69f18a8c4b15f16d115d38c8

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:f35dbfc504dec4f2f75104fd163fa685e7420f2cf7f09644c391b8183961292c

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=sha256:54cfa42da5234749f5d6b9441387323607ab51e26d54fc3b44902bd4bee01946

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:55:58.047096Z digest=sha256:0c9baf8cec5f870e38aa4c68fd2947df4028ab84f280ec4f347c0d72563efd5b

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=sha256:083dd82b1c30f66d9450238d5714549973391f321c74d0c74d08b188a7361ff2