Paper Citation Record · LEDGER

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.03650.

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

pith.paper-citation-record.v1
2506.03650 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:06:54.970449Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact3
verified fuzzy26
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a13e6c79-f976-461f-8a13-64e84c87d597 · outbound

This paper cites Ljung, System Identification: Theory for the User , ser.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Ljung, System Identification: Theory for the User , ser

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:07:00.243604Z

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 f7307e6b-b89c-47ea-93ac-60d2186b54b8 · outbound

This paper cites On the choice of sampling rates in parametric identification of time series,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter On the choice of sampling rates in parametric identification of time series,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:07:00.101808Z

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 b277b556-535a-47bd-af92-e6ac95556a8d · outbound

This paper cites Improved finite word length charac- teristics in digital control using delta operators,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Improved finite word length charac- teristics in digital control using delta operators,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:59.905202Z

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 97aebe1f-43c9-412a-935f-39f5fcdb9c70 · outbound

This paper cites Garnier and L.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Garnier and L

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:59.748443Z

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 d53457fc-37b5-4e8e-a2a3-4a14bf3fe4e2 · outbound

This paper cites What does continuous-time model identification have to offer?.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter What does continuous-time model identification have to offer?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:59.568916Z

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 6b760156-2cf8-4c7b-a8f5-936efd9d90ab · outbound

This paper cites Closed-loop identification revisited,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Closed-loop identification revisited,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:59.381956Z

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 327429db-ee4b-4943-9a06-1168a4a10ea3 · outbound

This paper cites Identification of unstable systems using output error and Box- Jenkins model structures,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Identification of unstable systems using output error and Box- Jenkins model structures,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:59.192658Z

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 ebf6efe0-9c0d-4a1d-b58e-86256917d14e · outbound

This paper cites Closed-loop identification via the fractional representation: Experiment design,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Closed-loop identification via the fractional representation: Experiment design,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:58.973036Z

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 206efab0-cbc7-4beb-a742-47b932d95372 · outbound

This paper cites A virtual closed loop method for closed loop identification,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter A virtual closed loop method for closed loop identification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:58.759596Z

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 30edec55-7b64-449a-933f-9fe2f4bff612 · outbound

This paper cites A simple framework for identifying dynamical systems in closed-loop,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter A simple framework for identifying dynamical systems in closed-loop,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:58.568161Z

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 1f4f6e2d-358f-482b-a330-15d256ea18d4 · outbound

This paper cites Subspace identification from closed loop data,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Subspace identification from closed loop data,

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:06:55.348971Z

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 ecdbccd4-af39-427c-ad0d-cc839a12808a · outbound

This paper cites An overview of subspace identification,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter An overview of subspace identification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:58.353641Z

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 782e3be1-73d1-4f82-a5a4-fd1b8e676e9a · outbound

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

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Closed-loop subspace identification methods: an overview,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:06:55.138781Z

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 42bf19ef-f7c6-4a0e-a8e4-ff0ebadcadb9 · outbound

This paper cites Minimal realization of an unstable plant under feedback,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Minimal realization of an unstable plant under feedback,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:58.144266Z

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 8bc8cbc0-0727-4b04-a14b-907b1d4c4d8e · outbound

This paper cites Application of a subspace model identification technique to identify LTI systems operating in closed-loop,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Application of a subspace model identification technique to identify LTI systems operating in closed-loop,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:54.896304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b965c6f-7a68-4525-9769-289c80bd110b · outbound

This paper cites Subspace identification of closed loop systems by the orthogonal decomposition method,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Subspace identification of closed loop systems by the orthogonal decomposition method,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.914380Z

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 bff7e02d-c090-4456-8f47-572beba65694 · outbound

This paper cites Closed-loop subspace identification with innovation estimation,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Closed-loop subspace identification with innovation estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.742064Z

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 f2981f65-5da9-43a3-88b9-2e3a903fa570 · outbound

This paper cites MOESP-type closed-loop subspace model identification method,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter MOESP-type closed-loop subspace model identification method,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.572028Z

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 14188c06-5874-48b9-bba9-40edf4a9d444 · outbound

This paper cites An approach to closed-loop subspace identification by orthogonal decomposition,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter An approach to closed-loop subspace identification by orthogonal decomposition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.393541Z

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 12432a58-52a2-41e5-a6d0-48057e372e11 · outbound

This paper cites On consistency of output-error closed-loop subspace model identification for systems compensated by general LTI controllers,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter On consistency of output-error closed-loop subspace model identification for systems compensated by general LTI controllers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.217182Z

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 7df1fac1-045d-4be2-9db5-3624677c7646 · outbound

This paper cites Subspace identification and ARX modeling,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Subspace identification and ARX modeling,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:57.057029Z

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 c8daf782-bd76-494b-a793-99cb731cb365 · outbound

This paper cites Consistency analysis of some closed-loop subspace identification methods,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Consistency analysis of some closed-loop subspace identification methods,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.900135Z

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 e3c5e789-40e8-4dcb-ba83-bdcb164d8468 · outbound

This paper cites A rank minimization heuristic with application to minimum order system approximation,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter A rank minimization heuristic with application to minimum order system approximation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.753175Z

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 21817a74-59d5-4ab1-a710-cb02c62c0df1 · outbound

This paper cites Hankel matrix rank minimization with applications to system identification and realization,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Hankel matrix rank minimization with applications to system identification and realization,

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T11:06:55.012480Z

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 4e96d45e-0f74-4b25-b160-50354f1142af · outbound

This paper cites Nuclear norm system identification with missing inputs and outputs,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Nuclear norm system identification with missing inputs and outputs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.648502Z

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 37d2149c-f30f-4b04-b382-4b5b7d98c748 · outbound

This paper cites Frequency domain subspace identification using nuclear norm minimization and hankel matrix realizations,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Frequency domain subspace identification using nuclear norm minimization and hankel matrix realizations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.467966Z

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 4225e94e-f79c-4f71-85c1-e413c7c50faf · outbound

This paper cites N2SID: Nuclear norm subspace identification of innovation models,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter N2SID: Nuclear norm subspace identification of innovation models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.245266Z

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 2748a636-ea57-4bc7-8946-8c825199ca1f · outbound

This paper cites Nuclear norm-enhanced recursive subspace identification: Closed-loop estimation of rapid variations in system dynamics,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Nuclear norm-enhanced recursive subspace identification: Closed-loop estimation of rapid variations in system dynamics,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:56.021499Z

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 6b86b9f7-7559-4adf-a0b2-32582c51faf2 · outbound

This paper cites Direct closed-loop identification of continuous- time systems using fixed-pole observer model,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Direct closed-loop identification of continuous- time systems using fixed-pole observer model,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:55.832138Z

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 1a500a85-a5be-4c54-baa3-1b310e037a0d · outbound

This paper cites Frequency domain uncertainty and the graph topology,.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter Frequency domain uncertainty and the graph topology,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:06:55.568387Z

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.

Pith citing papers

No inbound Pith citation observations are available.