Paper Citation Record · LEDGER

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1909.02192.

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

pith.paper-citation-record.v1
1909.02192 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:08:05.209038Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

verified exact2
verified fuzzy14
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 937e5551-3f33-4189-a087-c2697bc50979 · outbound

This paper cites Ljung, System identiﬁcation: theory for the user , 2nd ed.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Ljung, System identiﬁcation: theory for the user , 2nd ed

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.482050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43461758-4928-42a2-b28d-45e5360bc61c · outbound

This paper cites Mohri, A.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Mohri, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.469393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fccf77bb-327b-4763-8a1d-d0455c7a886b · outbound

This paper cites Nonparametric estimation of transfer functions: rates of convergence and adaptation,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Nonparametric estimation of transfer functions: rates of convergence and adaptation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.458178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b086d33-91ee-47c1-9926-39074cb9980f · outbound

This paper cites Nonasymptotic bounds for autore- gressive time series modeling,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Nonasymptotic bounds for autore- gressive time series modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.446034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 668d95d0-128f-4958-b9e4-6a3a752fa1e1 · outbound

This paper cites Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:08:05.285948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a748c5fb-2f15-40d0-8b17-f50559d2183c · outbound

This paper cites Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:08:05.271859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7298f894-43ec-415f-bc65-962e1b09d3a1 · outbound

This paper cites Non-asymptotic Identification of LTI Systems from a Single Trajectory.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Non-asymptotic Identification of LTI Systems from a Single Trajectory

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.152885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d086ef-86e6-4887-bc24-c75ac67e2216 · outbound

This paper cites Nonparametric Finite Time LTI System Identification.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Nonparametric Finite Time LTI System Identification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.156556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03cda378-37cb-4ea3-9f3c-5345d96e8786 · outbound

This paper cites Learning linear dynamical systems via spectral ﬁltering,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Learning linear dynamical systems via spectral ﬁltering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.434123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22db6e1f-0715-4f1e-888a-4152c87cc001 · outbound

This paper cites Spectral ﬁltering for general linear dynamical systems,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Spectral ﬁltering for general linear dynamical systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.421569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e23a68d1-d108-42fb-a69f-3dda0f7231ed · outbound

This paper cites Introduction to online convex optimization,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Introduction to online convex optimization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.409408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bbb31ebb-bc6b-4ef9-b1ae-430874698a55 · outbound

This paper cites Cesa-Bianchi and G.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Cesa-Bianchi and G

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.171192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196edcdb-071d-451c-af6c-d5500a57bb95 · outbound

This paper cites Identiﬁcation for control: From the early achievements to the revival of experiment design,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Identiﬁcation for control: From the early achievements to the revival of experiment design,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.392038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbfbfea6-e7a5-4dae-8464-87d664eff791 · outbound

This paper cites On the Sample Complexity of the Linear Quadratic Regulator.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction On the Sample Complexity of the Linear Quadratic Regulator

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.177575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586f65c7-efbe-43d7-8847-b889dc23a906 · outbound

This paper cites Closed-loop identiﬁcation revisited,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Closed-loop identiﬁcation revisited,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.380508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51be43e9-f4e6-49ab-8716-52008020f586 · outbound

This paper cites Subspace identiﬁcation from closed loop data,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Subspace identiﬁcation from closed loop data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.367945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d7f4418f-f452-452b-b2d7-6822f36d7a5e · outbound

This paper cites Subspace identiﬁcation and arx modeling,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Subspace identiﬁcation and arx modeling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.356691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f552335-8bb9-4d4a-9c3b-7308baf0fea0 · outbound

This paper cites The role of vector autoregressive modeling in predictor- based subspace identiﬁcation,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction The role of vector autoregressive modeling in predictor- based subspace identiﬁcation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.192309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6295cc17-faf4-4559-b358-22147cf30d01 · outbound

This paper cites An overview of subspace identiﬁcation,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction An overview of subspace identiﬁcation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.339025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6d92a7d-e469-49f2-a4c1-742bd3b2c477 · outbound

This paper cites Closed-loop subspace identiﬁcation methods: an overview,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Closed-loop subspace identiﬁcation methods: an overview,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.326954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39ebcc61-7df0-4ecd-bf31-647ff5c146e8 · outbound

This paper cites The relation of the cca subspace method to a balanced reduction of an autoregressive model,.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction The relation of the cca subspace method to a balanced reduction of an autoregressive model,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:08:05.316513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e629b72-f46f-406f-a111-5863b5d3beee · outbound

This paper cites an unresolved cited work.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:08:05.305037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c32a82f3-1165-4183-bbd8-3ad5bbff1aa0 · outbound

This paper cites an unresolved cited work.

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T05:08:05.209038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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