Paper Citation Record · LEDGER

Iterative Hard Thresholding for Low CP-rank Tensor Models

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.08479.

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

pith.paper-citation-record.v1
1908.08479 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:48:08.700850Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

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verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e22814e7-898f-48aa-8e9c-2a7953e0fbba · outbound

This paper cites A mathematical introduction to compressive sensing,.

Iterative Hard Thresholding for Low CP-rank Tensor Models A mathematical introduction to compressive sensing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.127756Z

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Observation 86df9b0a-18c1-4466-96ce-704fc77c46ba · outbound

This paper cites an unresolved cited work.

Iterative Hard Thresholding for Low CP-rank Tensor Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:48:09.117198Z

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Observation 399b530a-2155-490b-81f3-26760e637ec7 · outbound

This paper cites Compressive multiplexing of correlated signals,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Compressive multiplexing of correlated signals,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.107076Z

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

Observation 99221651-4bbc-43e2-b046-e7240405168c · outbound

This paper cites Hyperspectral image restoration using low-rank matrix recovery,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Hyperspectral image restoration using low-rank matrix recovery,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.095452Z

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Observation 98574f68-e9f8-430a-9da7-ef0e702fbc35 · outbound

This paper cites Quantum state tomography via compressed sensing,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Quantum state tomography via compressed sensing,

Reference 5

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Observation 5f02787d-251a-427b-a341-45010573be33 · outbound

This paper cites Robust principal component analysis?,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Robust principal component analysis?,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.074916Z

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 777a1118-cbcd-4732-bfce-fe908371ade6 · outbound

This paper cites Lambertian reﬂectance and linear subspaces,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Lambertian reﬂectance and linear subspaces,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.065299Z

Source-reported events for the cited work

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Observation 19ebcd10-95ca-4a85-8c4f-928dbe21d02f · outbound

This paper cites Exact matrix completion via convex optimization,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Exact matrix completion via convex optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.054938Z

Source-reported events for the cited work

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Observation a324c860-d1aa-4b40-aa5e-2176bf7f5026 · outbound

This paper cites Uniqueness conditions for low-rank matrix recovery,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Uniqueness conditions for low-rank matrix recovery,

Reference 9

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Source-reported events for the cited work

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Observation 87bd4524-ffcb-4c32-9bab-a22cdb129434 · outbound

This paper cites Guaranteed minimum-rank solutions of linear matrix equa- tions via nuclear norm minimization,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Guaranteed minimum-rank solutions of linear matrix equa- tions via nuclear norm minimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.035028Z

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 e58428e7-cb5b-4e5b-ac32-198306660a9f · outbound

This paper cites Tight oracle bounds for low-rank matrix recovery from a mininal number of noisy random measurements,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Tight oracle bounds for low-rank matrix recovery from a mininal number of noisy random measurements,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.024653Z

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 3576a011-86f9-466d-af48-cf362ce473e0 · outbound

This paper cites Iterative hard thresholding for compressed sensing,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Iterative hard thresholding for compressed sensing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.014146Z

Source-reported events for the cited work

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Observation 3852d4f5-1f32-499c-b9ee-fcf861b0a761 · outbound

This paper cites Normalized iterative hard thresholding: Guaranteed stability and performance,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Normalized iterative hard thresholding: Guaranteed stability and performance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:09.002734Z

Source-reported events for the cited work

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Observation 940f0f57-b9cc-433b-8b75-81ba95dc80a0 · outbound

This paper cites Normalized iterative hard thresholding for matrix completion,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Normalized iterative hard thresholding for matrix completion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.991853Z

Source-reported events for the cited work

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Observation 70d49197-6124-4b8e-a82f-636179873ecc · outbound

This paper cites Decoding by linear programming,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Decoding by linear programming,

Reference 15

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Source-reported events for the cited work

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Observation 9f8e5c9f-a718-470d-aa14-1d591cd28b88 · outbound

This paper cites Tensor completion for estimating missing values in visual data,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Tensor completion for estimating missing values in visual data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.970745Z

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 20c96348-696b-473c-9914-f51388a1236c · outbound

This paper cites Eﬃcient tensor completion for color image and video recovery: Low-rank tensor train,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Eﬃcient tensor completion for color image and video recovery: Low-rank tensor train,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.960070Z

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 a2692917-0c83-4034-b7cf-e4b9d09ea913 · outbound

This paper cites Multilinear multitask learn- ing,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Multilinear multitask learn- ing,

Reference 18

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Observation 050c68d8-82e6-4e4f-b4d2-4bfdc67d4f2f · outbound

This paper cites Multilinear independent components analysis,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Multilinear independent components analysis,

Reference 19

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Source-reported events for the cited work

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Observation 36d372ff-2607-4afd-8d02-889018ab525b · outbound

This paper cites The multiconﬁguration time-dependent hartree (mctdh) method: a highly eﬃcient algorithm for propagating wavepackets,.

Iterative Hard Thresholding for Low CP-rank Tensor Models The multiconﬁguration time-dependent hartree (mctdh) method: a highly eﬃcient algorithm for propagating wavepackets,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.926680Z

Source-reported events for the cited work

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Observation 316b3e3a-6487-4718-943d-7f377958ce40 · outbound

This paper cites Lubich,From quantum to classical molecular dynamics: reduced models and numerical analysis.

Iterative Hard Thresholding for Low CP-rank Tensor Models Lubich,From quantum to classical molecular dynamics: reduced models and numerical analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.915554Z

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 125ca7b2-086c-436b-9d43-97e427404dee · outbound

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

Iterative Hard Thresholding for Low CP-rank Tensor Models Some mathematical notes on three-mode factor analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.904543Z

Source-reported events for the cited work

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Observation a7a27234-ad37-415d-b561-8d8f95534698 · outbound

This paper cites A multilinear singular value decomposition,.

Iterative Hard Thresholding for Low CP-rank Tensor Models A multilinear singular value decomposition,

Reference 23

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Source-reported events for the cited work

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Observation cfedcfc6-d764-40e1-8a8e-456cdaf26346 · outbound

This paper cites Analysis of individual diﬀerences in multidimensional scaling via an n-way generalization of âĂĲeckart-youngâĂİ decomposition,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Analysis of individual diﬀerences in multidimensional scaling via an n-way generalization of âĂĲeckart-youngâĂİ decomposition,

Reference 24

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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 453b4e78-e75c-4256-abd0-9aad3e9d2a48 · outbound

This paper cites Foundations of the parafac procedure: Models and conditions for an.

Iterative Hard Thresholding for Low CP-rank Tensor Models Foundations of the parafac procedure: Models and conditions for an

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.875589Z

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 0aea8a99-0f6f-4fbe-890d-2d5ee6a302ed · outbound

This paper cites Factorization strategies for third-order tensors,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Factorization strategies for third-order tensors,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.864326Z

Source-reported events for the cited work

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Observation f5b83969-c63f-4691-803d-f87f7eb9cfa6 · outbound

This paper cites Novel methods for multilinear data completion and de-noising based on tensor-svd,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Novel methods for multilinear data completion and de-noising based on tensor-svd,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.853948Z

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Observation 177627bc-3643-46cd-89de-d3eb910d715c · outbound

This paper cites Tensor decompositions and applications,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Tensor decompositions and applications,

Reference 28

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Source-reported events for the cited work

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Observation a0c1e4ad-3a14-4fb1-93b0-883da6f1ca19 · outbound

This paper cites Tensor decompositions for learninglatentvariablemodels,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Tensor decompositions for learninglatentvariablemodels,

Reference 29

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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 63d538d7-07d6-4ef6-b1c3-182f2adf93b1 · outbound

This paper cites Most tensor problems are np-hard,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Most tensor problems are np-hard,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.822574Z

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 3cfff1c5-260e-45ca-8c61-0b95a2bd8f9e · outbound

This paper cites Low rank tensor recovery via iterative hard threshold- ing,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Low rank tensor recovery via iterative hard threshold- ing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.812185Z

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Observation 4c17eb26-066c-4ac0-ac5d-5380a22199b2 · outbound

This paper cites Relative error tensor low rank approximation,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Relative error tensor low rank approximation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.800229Z

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 4fd029db-07b7-4c16-974f-e6b485c95bb9 · outbound

This paper cites Uniqueness of tensor decompositions with applications to polynomial identiﬁability,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Uniqueness of tensor decompositions with applications to polynomial identiﬁability,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.788612Z

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 323985ed-83f4-42bb-b7ec-cbdd5070d4d6 · outbound

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Iterative Hard Thresholding for Low CP-rank Tensor Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:48:08.777456Z

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Observation 94a61eea-3cb6-4c45-8691-62145528beee · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

Iterative Hard Thresholding for Low CP-rank Tensor Models Introduction to the non-asymptotic analysis of random matrices

Reference 35

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Iterative Hard Thresholding for Low CP-rank Tensor Models Tensorlab 3.0 – numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.767192Z

Source-reported events for the cited work

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Observation c786d3d3-08f4-47ac-a405-499c7eb354ef · outbound

This paper cites Linear convergence of stochastic iterative greedy algorithms with sparse constraints,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Linear convergence of stochastic iterative greedy algorithms with sparse constraints,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.755781Z

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 c25df8d0-27b3-47d0-a546-a1444188cb9e · outbound

This paper cites Greedy low-rank approximation in tucker format of solutions of tensor linear systems,.

Iterative Hard Thresholding for Low CP-rank Tensor Models Greedy low-rank approximation in tucker format of solutions of tensor linear systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:48:08.744667Z

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

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