Paper Citation Record · LEDGER

Learning clusters of partially observed linear dynamical systems

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.17638.

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

pith.paper-citation-record.v1
2507.17638 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:17.493921Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

26 of 26 outbound references displayed

verified exact4
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 755ca3d8-90b6-4de3-ac99-0ebe620a8095 · outbound

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

Learning clusters of partially observed linear dynamical systems Joint Learning of Linear Time-Invariant Dynamical Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:17.399480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78beb04f-824d-4fcc-bdf4-c6258d096c0e · outbound

This paper cites Multi-task imitation learning for linear dynami cal systems,.

Learning clusters of partially observed linear dynamical systems Multi-task imitation learning for linear dynami cal systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.823098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 340b77c5-68be-4bac-8bce-99cb1ee436e9 · outbound

This paper cites Estimation of Models with Limited Data by Leveraging Shared Structure.

Learning clusters of partially observed linear dynamical systems Estimation of Models with Limited Data by Leveraging Shared Structure

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:52:17.596235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa655c60-d37f-4ec0-ad10-8626f4c6ac2e · outbound

This paper cites Learning mixtures of linear dynam ical systems,.

Learning clusters of partially observed linear dynamical systems Learning mixtures of linear dynam ical systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.810875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af336097-258a-4411-a8d2-ed33186785e9 · outbound

This paper cites Learning Personalized Models with Clustered System Identification.

Learning clusters of partially observed linear dynamical systems Learning Personalized Models with Clustered System Identification

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:52:17.581580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32df2290-bfd4-4150-8538-cf635c7f2d49 · outbound

This paper cites Learning Dynamical Systems by Leveraging Data from Similar Systems.

Learning clusters of partially observed linear dynamical systems Learning Dynamical Systems by Leveraging Data from Similar Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:17.418778Z

Source-reported events for the cited work

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Observation 1011f3eb-78db-4a5f-9e48-9cb16d083947 · outbound

This paper cites Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems.

Learning clusters of partially observed linear dynamical systems Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:17.422929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec8d3c6-7c05-4aa8-9c0e-aceb9a6c7fbb · outbound

This paper cites A benchmark study on t ime series clustering,.

Learning clusters of partially observed linear dynamical systems A benchmark study on t ime series clustering,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.800848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d9bbe0f7-6287-4556-a219-9852c1384f95 · outbound

This paper cites Time -series clustering–a decade review,.

Learning clusters of partially observed linear dynamical systems Time -series clustering–a decade review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.789766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7da5c9ec-0fac-4d77-a3ee-ccee5ef35484 · outbound

This paper cites Tensor decompo sitions meet control theory: learning general mixtures of linear dy namical systems,.

Learning clusters of partially observed linear dynamical systems Tensor decompo sitions meet control theory: learning general mixtures of linear dy namical systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.779161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

This paper cites Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems.

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 2026-08-08T06:32:00.761636+00:00.

Observation de2c63bc-9d33-4c74-bd44-fdf71a96e464 · outbound

This paper cites Finite sample properties of sy stem identiﬁcation methods,.

Learning clusters of partially observed linear dynamical systems Finite sample properties of sy stem identiﬁcation methods,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.768244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45a38b8e-dab8-41e6-a382-816bdcac7c88 · outbound

This paper cites Finite time LTI system identiﬁcation,.

Learning clusters of partially observed linear dynamical systems Finite time LTI system identiﬁcation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.757842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 395563be-9d3a-4ddf-a115-4d37ed27c048 · outbound

This paper cites Revisiting ho–kalman-based syst em identiﬁ- cation: Robustness and ﬁnite-sample analysis,.

Learning clusters of partially observed linear dynamical systems Revisiting ho–kalman-based syst em identiﬁ- cation: Robustness and ﬁnite-sample analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.744618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83ef4b9a-92b8-4a71-a56f-a1dd62331b36 · outbound

This paper cites Ho and R.

Learning clusters of partially observed linear dynamical systems Ho and R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.732750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06f73bf5-f4e7-4f2b-8140-0dbf20eb87d9 · outbound

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

Learning clusters of partially observed linear dynamical systems A New Approach to Learning Linear Dynamical Systems

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:52:17.527324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfb6e686-f5b5-4b2d-860c-790bb070e040 · outbound

This paper cites Non-asymptotic identiﬁcation of li near dynami- cal systems using multiple trajectories,.

Learning clusters of partially observed linear dynamical systems Non-asymptotic identiﬁcation of li near dynami- cal systems using multiple trajectories,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.721654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cdae2e0c-6b80-453c-8b9e-b2df4f34c749 · outbound

This paper cites Learning partially observed linear dynam ical systems from logarithmic number of samples,.

Learning clusters of partially observed linear dynamical systems Learning partially observed linear dynam ical systems from logarithmic number of samples,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.709289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 452d0ccc-2f6f-48b9-a461-d53a8619b5b6 · outbound

This paper cites Least squares quantization in pcm,.

Learning clusters of partially observed linear dynamical systems Least squares quantization in pcm,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.698017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation faa6e4a3-231a-4c90-beb5-f2f209c0c480 · outbound

This paper cites Estimating the nor ms of random circulant and toeplitz matrices and their inverses,.

Learning clusters of partially observed linear dynamical systems Estimating the nor ms of random circulant and toeplitz matrices and their inverses,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.687484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 00f3b9db-74d1-4d35-a2d5-d4df2c3ee199 · outbound

This paper cites Foucart and H.

Learning clusters of partially observed linear dynamical systems Foucart and H

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.675376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 249dc200-3043-4ada-8d4a-ad2919f5f415 · outbound

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

Learning clusters of partially observed linear dynamical systems V ershynin, High-dimensional probability: An introduction with applications in data science

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.663628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41847720-20a1-4ace-a804-9151dbaa5f95 · outbound

This paper cites effective.

Learning clusters of partially observed linear dynamical systems effective

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.652918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2009068-410f-4dd6-95e8-d847300457bb · outbound

This paper cites This implies that q∑ k=1 σ2 inf (Ak)≤ min v∈S m− 1 q∑ k=1 ‖Akv‖2 2 = σ2 min(U )≤ σ2 max(U ) = sup v∈S m− 1 q∑ k=1 ‖Akv‖2 2≤ q∑ k=1 σ2 max(Uk).

Learning clusters of partially observed linear dynamical systems This implies that q∑ k=1 σ2 inf (Ak)≤ min v∈S m− 1 q∑ k=1 ‖Akv‖2 2 = σ2 min(U )≤ σ2 max(U ) = sup v∈S m− 1 q∑ k=1 ‖Akv‖2 2≤ q∑ k=1 σ2 max(Uk)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.642165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18f1f1f4-de2b-4e36-b6b1-0f810b605345 · outbound

This paper cites Deﬁne a mapping of pairs of indices indicating the partition j∈ [0:L] and element k∈ [d] of the partition to linear indices τ : (j, k)↦→k(L+1)+( j−1)∈ [T ].

Learning clusters of partially observed linear dynamical systems Deﬁne a mapping of pairs of indices indicating the partition j∈ [0:L] and element k∈ [d] of the partition to linear indices τ : (j, k)↦→k(L+1)+( j−1)∈ [T ]

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:52:17.630866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1115258-2a57-4025-a600-f2e5ddd6091b · outbound

This paper cites an unresolved cited work.

Learning clusters of partially observed linear dynamical systems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:52:17.618548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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