Paper Citation Record · LEDGER

Faster Tensor Train Decomposition for Sparse Data

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.02721.

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

pith.paper-citation-record.v1
1908.02721 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:44:08.285481Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

verified exact1
verified fuzzy25
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f06bf98-b159-4dc9-988c-41475b7db7ff · outbound

This paper cites The expression of a tensor or a polyadic as a sum of products.

Faster Tensor Train Decomposition for Sparse Data The expression of a tensor or a polyadic as a sum of products

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.590125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation daac341a-4035-4e61-8c1e-804bd4b0994d · outbound

This paper cites Some mathematical notes on three-mode factor analysis.

Faster Tensor Train Decomposition for Sparse Data Some mathematical notes on three-mode factor analysis

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:44:08.195634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8205237e-1e68-4ef8-92fc-c36ec3780621 · outbound

This paper cites Tensor-train decomposition.

Faster Tensor Train Decomposition for Sparse Data Tensor-train decomposition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.572969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6af4177c-641b-4806-8865-714882673315 · outbound

This paper cites Solution of linear systems and ma- trix inversion in the TT-format.

Faster Tensor Train Decomposition for Sparse Data Solution of linear systems and ma- trix inversion in the TT-format

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.563387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55546d0a-e4a2-4201-90cb-24743eea07a9 · outbound

This paper cites Enabling high-dimensional hierarchical uncertainty quantiﬁ- cation by ANOVA and tensor-train decomposition.

Faster Tensor Train Decomposition for Sparse Data Enabling high-dimensional hierarchical uncertainty quantiﬁ- cation by ANOVA and tensor-train decomposition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.552775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e93a6c72-8849-4159-9ce3-559dab59f9d5 · outbound

This paper cites Model reduction and simu- lation of nonlinear circuits via tensor decomposition.

Faster Tensor Train Decomposition for Sparse Data Model reduction and simu- lation of nonlinear circuits via tensor decomposition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.542464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 282e37da-0688-47de-af12-b909eace802f · outbound

This paper cites Tensor computation: A new framework for high-dimensional problems in EDA.

Faster Tensor Train Decomposition for Sparse Data Tensor computation: A new framework for high-dimensional problems in EDA

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.531299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71a0545a-4154-448f-9163-24dd81a017b6 · outbound

This paper cites Tensor network alter- nating linear scheme for MIMO Volterra system identiﬁcation.

Faster Tensor Train Decomposition for Sparse Data Tensor network alter- nating linear scheme for MIMO Volterra system identiﬁcation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.520161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f523925-fdbd-4cae-8afe-a5c5d42c59cc · outbound

This paper cites Approximation of 2 d× 2d matrices using tensor decom- position.

Faster Tensor Train Decomposition for Sparse Data Approximation of 2 d× 2d matrices using tensor decom- position

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.511210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db17c826-754a-46b5-8a05-850894fd0bd7 · outbound

This paper cites On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems.

Faster Tensor Train Decomposition for Sparse Data On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.501248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7945de5b-be83-4134-835d-a018aa927fbf · outbound

This paper cites Computing low-rank approximations of large-scale matrices with the tensor network randomized SVD.

Faster Tensor Train Decomposition for Sparse Data Computing low-rank approximations of large-scale matrices with the tensor network randomized SVD

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.491110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46b63751-955b-4c34-878c-4982f07aa70a · outbound

This paper cites Eﬃcient low rank tensor ring completion.

Faster Tensor Train Decomposition for Sparse Data Eﬃcient low rank tensor ring completion

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.480947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c53d07a6-a1cf-4abd-bd6a-8bd43853d86b · outbound

This paper cites Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains.

Faster Tensor Train Decomposition for Sparse Data Fast and Accurate Tensor Completion with Total Variation Regularized Tensor Trains

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:44:08.319598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b994df1-0ace-4f59-b03e-fa574286a5fd · outbound

This paper cites Tensor train neigh- borhood preserving embedding.

Faster Tensor Train Decomposition for Sparse Data Tensor train neigh- borhood preserving embedding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.470825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53419364-7fc4-4a64-a937-910f5f0f510c · outbound

This paper cites Support vector machine based on low-rank tensor train decomposition for big data applications.

Faster Tensor Train Decomposition for Sparse Data Support vector machine based on low-rank tensor train decomposition for big data applications

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.461063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab5ad543-5685-49e1-a618-5cfef66d7ba1 · outbound

This paper cites Par- allelized tensor train learning of polynomial classiﬁers.

Faster Tensor Train Decomposition for Sparse Data Par- allelized tensor train learning of polynomial classiﬁers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.451379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7eb9719b-2bb0-467d-9b18-316017608352 · outbound

This paper cites Whole brain fMRI pattern analysis based on tensor neural network.

Faster Tensor Train Decomposition for Sparse Data Whole brain fMRI pattern analysis based on tensor neural network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.440379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b563d1e5-fb54-419f-8906-aa7b557e7d18 · outbound

This paper cites TT-cross approximation for mul- tidimensional arrays.

Faster Tensor Train Decomposition for Sparse Data TT-cross approximation for mul- tidimensional arrays

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.430594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0579e4ec-39ee-4e50-9c7b-c3c2f802a9bb · outbound

This paper cites Fast adaptive interpolation of multi-dimensional arrays in tensor train format.

Faster Tensor Train Decomposition for Sparse Data Fast adaptive interpolation of multi-dimensional arrays in tensor train format

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.420922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81d83089-1cc7-41e5-a3a3-36729a642059 · outbound

This paper cites A randomized tensor train singular value decomposition.

Faster Tensor Train Decomposition for Sparse Data A randomized tensor train singular value decomposition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.411683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 488f7003-b92e-41a0-8781-b277f63d62a8 · outbound

This paper cites Finding struc- ture with randomness: Probabilistic algorithms for constructing approxi- mate matrix decompositions.

Faster Tensor Train Decomposition for Sparse Data Finding struc- ture with randomness: Probabilistic algorithms for constructing approxi- mate matrix decompositions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.401626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33fb128f-11e9-473a-9cb2-fe03d464869c · outbound

This paper cites A theory of pseudoskeleton approximations.

Faster Tensor Train Decomposition for Sparse Data A theory of pseudoskeleton approximations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.391762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a637ae3-86a5-4ce4-b59f-28dbc995a802 · outbound

This paper cites Generic construction of eﬃcient matrix product operators.

Faster Tensor Train Decomposition for Sparse Data Generic construction of eﬃcient matrix product operators

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.382900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea5caabd-db72-4ad7-bcb7-ae01ad9ad9ba · outbound

This paper cites Xerus - A general purpose tensor library, 2014–2017.

Faster Tensor Train Decomposition for Sparse Data Xerus - A general purpose tensor library, 2014–2017

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.373275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74ad48fd-5b26-4da5-b1d6-27810a889ec7 · outbound

This paper cites Corrected one-site density matrix renormalization group and alternating minimal energy algorithm.

Faster Tensor Train Decomposition for Sparse Data Corrected one-site density matrix renormalization group and alternating minimal energy algorithm

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.363249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78d9ea55-725f-480b-a407-a18268fe826f · outbound

This paper cites SNAP Datasets: Stanford large network dataset collection, June 2015.

Faster Tensor Train Decomposition for Sparse Data SNAP Datasets: Stanford large network dataset collection, June 2015

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.353058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 790b60c7-d0ec-4ec4-b5ca-e3f4787c36b9 · outbound

This paper cites an unresolved cited work.

Faster Tensor Train Decomposition for Sparse Data Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:44:08.341298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b99329d1-a54a-4ba6-917b-3ae20744fc47 · outbound

This paper cites Introduction to Algorithms.

Faster Tensor Train Decomposition for Sparse Data Introduction to Algorithms

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:44:08.330748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.