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Paper Citation Record · LEDGER

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2412.10615.

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

pith.paper-citation-record.v1
2412.10615 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:54:56.404100Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:17.437288Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:52:17.539941Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ae0352d-3e9a-496c-803b-89d5a0c0ecf6 · outbound

This paper cites Tensor decompositions for learning latent variable models.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Tensor decompositions for learning latent variable models

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 90ab45a0-501c-4deb-a00c-1a29cee01345 · outbound

This paper cites Bader, Tamara G.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Bader, Tamara G

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.700401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.321321Z digest=sha256:68243b67b3ff03e5f428fae985cce8e165244b81a72c25e410ceb45acf001289

Observation 67fb60fa-39a9-4893-9d22-0bb2388188e3 · outbound

This paper cites A New Approach to Learning Linear Dynamical Systems.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems A New Approach to Learning Linear Dynamical Systems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:54:56.325836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.325836Z digest=sha256:e610577d7ee561670e729776052050f27b76087794195435fe988aca8f32d32f

Observation f8852e4c-3928-4cc5-a2b0-e9f027153ef8 · outbound

This paper cites Tensor decompositions meet control theory: learning general mixtures of linear dynamical systems.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Tensor decompositions meet control theory: learning general mixtures of linear dynamical systems

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.686042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.330721Z digest=sha256:483feb7d863eb58e7a750643c5e4c592e556aeaab709acc5586cd4ec140454c9

Observation 67a2c038-c643-4eeb-ad83-9fdd57f4f8c6 · outbound

This paper cites Learning mixtures of linear dynamical systems.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Learning mixtures of linear dynamical systems

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b73b5168-6c6d-4883-8468-7042e3417954 · outbound

This paper cites Clustering short time series gene expression data.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Clustering short time series gene expression data

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f617eb30-9642-4596-9431-d0388466cccd · outbound

This paper cites On the partial realization problem.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems On the partial realization problem

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.345426Z digest=sha256:4ca038bc137ebd0eef875eaceafa255fe4e4e83430368e7f0d01fab0b6429999

Observation e8736b6a-1a5e-47d5-9cba-9917c2869176 · outbound

This paper cites u r ein-und ausgangsgr \.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems u r ein-und ausgangsgr \

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.631460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.349695Z digest=sha256:a5ad6afba4175058cb2ca2b9431c9f2eaed551b940134c61ac674b27ac56ff3a

Observation 09cb355a-927d-45b9-87ab-ce85c65cee70 · outbound

This paper cites Score Function Features for Discriminative Learning: Matrix and Tensor Framework.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Score Function Features for Discriminative Learning: Matrix and Tensor Framework

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:54:56.475076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.354093Z digest=sha256:bf9a335738df77a8e300c8248a186090d191fa6921467c731592c1a2a516953a

Observation 3058be45-73cf-4fd8-b60f-2fbed8543a4c · outbound

This paper cites Tensor decompositions and applications.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Tensor decompositions and applications

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T15:54:56.358694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.358694Z digest=sha256:55a18234c57f83710b5dc25442864c25e8a019b0d465f8771dbd4171a59b1b16

Observation 64479f28-cb36-4a25-bd3c-d99afd99e1b4 · outbound

This paper cites On accuracy of approximation of the spectral radius by the gelfand formula.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems On accuracy of approximation of the spectral radius by the gelfand formula

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:54:56.362933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.362933Z digest=sha256:e88bdb4ec0c24e84ec32a8f88bf3d90db6d68040a8ffc0e87857e2b8129fe1bf

Observation a3de34a4-ffdf-4a88-96a6-c20ef3912e67 · outbound

This paper cites Learning mixtures of linear regressions with nearly optimal complexity.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Learning mixtures of linear regressions with nearly optimal complexity

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.597743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e935381f-c3a5-4bd7-903d-6ab606b2913a · outbound

This paper cites Joint Learning of Linear Time-Invariant Dynamical Systems.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Joint Learning of Linear Time-Invariant Dynamical Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:54:56.371837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.371837Z digest=sha256:94278ba24b39c9d3f001d030d90430cfa89b397b88cc66ae6431b1b45fcbb8fc

Observation ae8456af-62fc-4619-9baa-99358e7ed6d4 · outbound

This paper cites Revisiting ho--kalman-based system identification: Robustness and finite-sample analysis.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Revisiting ho--kalman-based system identification: Robustness and finite-sample analysis

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.376616Z digest=sha256:71c49dd52d2a2a44af2b6dcf2cd67ac8b46b374c761dbae0adbbe9ed94626154

Observation 3bbae2c1-d2da-4b1e-adab-cc61a4f20d1c · outbound

This paper cites Finite time lti system identification.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Finite time lti system identification

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.380828Z digest=sha256:cc5d3e267979a8af11f20688e514c5f10f47a30f93ef33eb23c8ec8f815a0391

Observation aca093e5-6655-4424-bc74-095e329ee69a · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems High-dimensional probability: An introduction with applications in data science, volume 47

Reference 16

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unresolved
no resolver link, observed 2026-08-11T15:54:56.384870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.384870Z digest=sha256:891d4740d970ad8c73e9790b8d1845468d4ee43f525a469db8f9641db09b46d7

Observation 3b1ba6c8-3789-4c5e-b40b-0c612c7677a7 · outbound

This paper cites Alternating minimization for mixed linear regression.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Alternating minimization for mixed linear regression

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.388723Z digest=sha256:5d38532821c10fbbe86e4215c9660c8a24ea1b119a0834279d39a570df803ed1

Observation f006f6dd-5131-46e2-a7d1-ae251ddbb22e · outbound

This paper cites Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T15:54:56.392438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:54:56.392438Z digest=sha256:6384219ccfe4dbb3d730d495c0156e785234804b1a98f6338182cd34c4835466

Observation 4d19e0a9-f453-4f5e-a8b2-2f7aff67627e · outbound

This paper cites Multi-task imitation learning for linear dynamical systems.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Multi-task imitation learning for linear dynamical systems

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 14235800-e665-4af2-a1c2-0255e2c13357 · outbound

This paper cites Non-asymptotic identification of linear dynamical systems using multiple trajectories.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Non-asymptotic identification of linear dynamical systems using multiple trajectories

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.517672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.400052Z digest=sha256:d253633221a145bffa0347fdb50a4ae865eb5323b0f6e6293ae444b2f6e6bd30

Observation 7fcf7a17-0868-4a52-bf87-ce9fa7e0393b · outbound

This paper cites Mixed linear regression with multiple components.

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Mixed linear regression with multiple components

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:54:56.503684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

Observation a363c7ee-7712-4c6e-a2ef-612985723b9b · inbound

Learning clusters of partially observed linear dynamical systems cites this paper.

Learning clusters of partially observed linear dynamical systems Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:52:17.544060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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