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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.316351Z digest=sha256:a54a8220d24f9cce08752e73573e00c962ae45978a4af053223a208dc4f8ae30

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 2026-08-15T06:32:42.880941+00:00.

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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:d916454993543ab43eb6fdffe36798fe5902ab6013ec623e4615e1698a9a2abc

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.330721Z digest=sha256:23459a3b2389e7e381814923bddb1033048d23c7c7d453a93117c8e7b977c3d5

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.345426Z digest=sha256:ceda47a917b7716dc7a061007e6fa3be3090390d5c36f7a3742f9c06a2ea08db

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.349695Z digest=sha256:a6d1a358157e857bbcf644251a251f213b77ed2ccfa31e2360cb6de32f1b90bb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.354093Z digest=sha256:76d3501a0d2bb48658832e9619e45de4382b8a913c73d53499ce9f3b407e8e3d

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 2026-08-15T06:32:42.880941+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:a355f440ed52983b395e3516b226e18eada8753b5e25db98289ea102c32b26fb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.376616Z digest=sha256:bb1ee2e03f11b57afbff6aa36dea900ce6ba9c41ecdf92125fa45cf8d795a1c8

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.380828Z digest=sha256:cf70c6efd10f054bad0c7a75f616c654c3123a50224ff9ca047b766afc2b655c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.388723Z digest=sha256:c7170499dfcf8877fec6e7cc1ebef9adcbad1969b07a400875d2b79522d46180

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=sha256:1137e9a6e7f3dc2620958c7425547889d6e47cc5573740d942dea5d108015290

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.396514Z digest=sha256:6ac9ccead79e5f085b45ebcf621ec2e36d563a6b2cc4c1995c620a7e4d11ad61

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.400052Z digest=sha256:202f108dbc846c3320eca29b1ece3ef4a54bfe406981b038c0acd0dcab0405f4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T15:54:56.404100Z digest=sha256:f90f81ce9fbeb6977a7e5a71497db5f5e84219e8ac95eb9c40b5b684b7f5b7d9

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 2026-08-15T06:32:42.880941+00:00.

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