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Paper Citation Record · LEDGER

Canonical Bayesian Linear System Identification

As of 21 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2507.11535.

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

pith.paper-citation-record.v1
2507.11535 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:16:34.672248Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:50:30.683790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:31:06.971275Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact8
  • verified fuzzy18
  • unresolved32
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e394bba-bdf5-41d6-809c-1bdb881609c4 · outbound

This paper cites Bayesian inference for a covariance matrix.

Canonical Bayesian Linear System Identification Bayesian inference for a covariance matrix

Reference 1

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Source-reported events for the cited work

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Observation 89290138-d547-46b3-9126-937e3a74e89f · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 2

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Unavailable: canonical work link unavailable.

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Observation b607d8b7-0a2d-4cba-ad15-e8a9a03c7246 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 3

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Observation 3a03bcb5-5f00-42f6-bbd1-8aec28c086b5 · outbound

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

Canonical Bayesian Linear System Identification A New Approach to Learning Linear Dynamical Systems

Reference 4

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Observation b87e47b1-fbc6-4325-92ba-87388c023592 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 572d73c2-520d-4046-9b57-b84d3317b137 · outbound

This paper cites BlackJAX: Composable Bayesian inference in JAX.

Canonical Bayesian Linear System Identification BlackJAX: Composable Bayesian inference in JAX

Reference 6

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Observation 889dccce-5cf8-4d41-a69b-a89605d24eb2 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 7

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Observation ef01b009-fafa-4df2-9aae-09b7bcbad674 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 8

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Observation 5aa0336b-a507-4a1e-be50-e364a4349b8f · outbound

This paper cites Chen, Linear System Theory and Design , Oxford University Press, Inc., USA, 3rd ed., 1998.

Canonical Bayesian Linear System Identification Chen, Linear System Theory and Design , Oxford University Press, Inc., USA, 3rd ed., 1998

Reference 9

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Observation dda257ad-58bf-45b0-bfab-bf57129eda5d · outbound

This paper cites Chopin, P.

Canonical Bayesian Linear System Identification Chopin, P

Reference 10

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Observation 6e47b379-ab8a-46d5-8b24-304808eede71 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 11

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Observation c67bd5b6-1806-4b4c-a5d1-9ef2bfd32103 · outbound

This paper cites Galioto and A.

Canonical Bayesian Linear System Identification Galioto and A

Reference 12

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Observation af6f16b0-5c64-408e-a61e-d297a1a871a2 · outbound

This paper cites Gelman, J.

Canonical Bayesian Linear System Identification Gelman, J

Reference 13

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Observation c58b5c2d-7435-4f0b-90f0-27b166df7525 · outbound

This paper cites Gevers, Identification for control: From the early achievements to the revival of experiments , Euro- pean Journal of Control, 11 (2005), pp.

Canonical Bayesian Linear System Identification Gevers, Identification for control: From the early achievements to the revival of experiments , Euro- pean Journal of Control, 11 (2005), pp

Reference 14

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Observation e23b5172-3d03-4d9a-bed7-a64aa31d6403 · outbound

This paper cites Hardt, T.

Canonical Bayesian Linear System Identification Hardt, T

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 072e2597-1702-4db9-b724-90978b7e4644 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 1bdf8870-136b-4da9-b1b2-d8b8b5c46cd0 · outbound

This paper cites Hjalmarsson, From experiments to models: A sparse journey through system identification , Auto- 28 A.

Canonical Bayesian Linear System Identification Hjalmarsson, From experiments to models: A sparse journey through system identification , Auto- 28 A

Reference 17

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Observation aeb6dbcb-d8ba-4f51-9459-860922c997dc · outbound

This paper cites The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo.

Canonical Bayesian Linear System Identification The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

Reference 18

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Observation 0add2c1a-2510-4b12-855b-8a951de7e453 · outbound

This paper cites On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory.

Canonical Bayesian Linear System Identification On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory

Reference 19

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Observation 93eea4ed-ec54-4f33-b7bf-2d3366fc5100 · outbound

This paper cites Juditsky, H.

Canonical Bayesian Linear System Identification Juditsky, H

Reference 20

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Observation 9acef9c0-8e85-47bf-96f6-f3d6c53f676f · outbound

This paper cites Kailath, Linear Systems, Prentice-Hall, 1980.

Canonical Bayesian Linear System Identification Kailath, Linear Systems, Prentice-Hall, 1980

Reference 21

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Observation 29500df8-b6f3-4807-862b-2dcdecaec625 · outbound

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Canonical Bayesian Linear System Identification Unresolved cited work

Reference 22

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Observation 5fa8c864-8659-4707-bdb3-ab1a50c23e4d · outbound

This paper cites Kantas, A.

Canonical Bayesian Linear System Identification Kantas, A

Reference 23

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Observation 68f00e42-f5bf-445f-af74-4a8190fd681f · outbound

This paper cites Improved dimension dependence in the Bernstein von Mises Theorem via a new Laplace approximation bound.

Canonical Bayesian Linear System Identification Improved dimension dependence in the Bernstein von Mises Theorem via a new Laplace approximation bound

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 1cb826dc-f43b-41d5-841e-c67c50f6db21 · outbound

This paper cites Automatic Functional Differentiation in JAX.

Canonical Bayesian Linear System Identification Automatic Functional Differentiation in JAX

Reference 25

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Observation 65abb569-a96e-4906-9ab3-b9ebe5f7e3e7 · outbound

This paper cites Ljung , System Identification: Theory for the User , Prentice Hall information and system sciences series, Prentice Hall PTR, 1999, https://books.google.com/books?id=nHFoQgAACAAJ.

Canonical Bayesian Linear System Identification Ljung , System Identification: Theory for the User , Prentice Hall information and system sciences series, Prentice Hall PTR, 1999, https://books.google.com/books?id=nHFoQgAACAAJ

Reference 26

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Observation 9e82bde7-f44c-4b18-9079-182c5f278bb0 · outbound

This paper cites L2RU: a Structured State Space Model with prescribed L2-bound.

Canonical Bayesian Linear System Identification L2RU: a Structured State Space Model with prescribed L2-bound

Reference 27

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Observation 56d42b4c-ca8b-43aa-bc76-646e437bf680 · outbound

This paper cites Minster, A.

Canonical Bayesian Linear System Identification Minster, A

Reference 28

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Observation 19b78361-6549-47c3-b39e-37bed43512fc · outbound

This paper cites Morse and R.

Canonical Bayesian Linear System Identification Morse and R

Reference 29

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Unavailable: canonical work link unavailable.

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Observation df599c6a-c391-4d3f-8a6c-04b41d6631a9 · outbound

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Canonical Bayesian Linear System Identification Ninness and S

Reference 30

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ca3e7f51-a2d2-433a-a58e-fd3426aeb95f · outbound

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

Canonical Bayesian Linear System Identification Non-asymptotic Identification of LTI Systems from a Single Trajectory

Reference 31

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Observation bc4d46f3-f25b-4194-a85d-324d63586f03 · outbound

This paper cites Peterka , Bayesian system identification , Automatica, 17 (1981), pp.

Canonical Bayesian Linear System Identification Peterka , Bayesian system identification , Automatica, 17 (1981), pp

Reference 32

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Observation 19f670f4-bb96-4d13-be72-d0da1d0ec7b0 · outbound

This paper cites Pillonetto and L.

Canonical Bayesian Linear System Identification Pillonetto and L

Reference 33

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Observation 4778686b-7b8e-4075-bfbf-8f725214489d · outbound

This paper cites Pintelon and J.

Canonical Bayesian Linear System Identification Pintelon and J

Reference 34

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Observation 3d22d75e-fd42-4a9d-b426-7e9493a08ef5 · outbound

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Canonical Bayesian Linear System Identification Unresolved cited work

Reference 35

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Observation 4c439877-7693-411d-b0de-4a599f67a4be · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 36

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Observation 86ae1848-61f4-4d6e-b95a-9d1369035cdd · outbound

This paper cites Nonparametric Finite Time LTI System Identification.

Canonical Bayesian Linear System Identification Nonparametric Finite Time LTI System Identification

Reference 37

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 56297147-7fc7-451d-83ec-65d3891d2ec4 · outbound

This paper cites Version 2.23.

Canonical Bayesian Linear System Identification Version 2.23

Reference 38

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6f03b08e-7039-40ce-9c24-125603b92325 · outbound

This paper cites Stilgenbauer, M.

Canonical Bayesian Linear System Identification Stilgenbauer, M

Reference 39

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verified exact
raw_fallback, observed 2026-08-06T17:16:36.149967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:32.858748Z digest=sha256:d0ced0e67dd29d1e11d6f7896d54b7700b88ca8c965206154ec17da613fb4f81

Observation 3908713b-8dcf-4833-ae5c-511ca1720f40 · outbound

This paper cites Svensson, A.

Canonical Bayesian Linear System Identification Svensson, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:39.592662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:32.958748Z digest=sha256:c4b4f3f044d43c9e293889ed28a5e70b0752d8a640112d9ba04eab6685f64027

Observation 7f6be49c-7971-49fb-9e05-24a921ef7857 · outbound

This paper cites S¨arkk¨a, Bayesian Filtering and Smoothing , vol.

Canonical Bayesian Linear System Identification S¨arkk¨a, Bayesian Filtering and Smoothing , vol

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T17:16:33.065886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:16:33.065886Z digest=sha256:2ddf4240f9b5f4d86b08b9c2116533a91859dbc17e2c015403d369257db44dcf

Observation 4aef244b-26a5-4e98-be17-a08d4a2dda59 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:39.391857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.157188Z digest=sha256:c712bad428ddd420d9a36833d2ee8bea30d45570ecf158f1fcd10ef7b2732cc1

Observation df1e5a2d-3157-4052-b561-811e36d02d0e · outbound

This paper cites Urteaga and P.

Canonical Bayesian Linear System Identification Urteaga and P

Reference 44

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:16:35.954689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.326288Z digest=sha256:72e3951e6601271ad76dbd5f82d76ec9194044f5c18602a62fa2da6b4ad25101

Observation fa75c41c-f804-4913-a7f4-75fcc4921bbc · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:39.144877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.404413Z digest=sha256:4098e1d5822f10c088cb90fdbe711a1f6ea19e9f8a6ac31aacb58508e2781da9

Observation 81cc7fdf-6fa2-4ffb-a7f5-739a328164a8 · outbound

This paper cites V an Overschee and B.

Canonical Bayesian Linear System Identification V an Overschee and B

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:38.931178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.483300Z digest=sha256:8257dae02a3bf782f39a641ffb0d1ee0ab9d90c8c6c2611d19f405f9bb897e92

Observation e725a7c6-06bb-4fac-86bd-163c3bc9140e · outbound

This paper cites W ahlberg and L.

Canonical Bayesian Linear System Identification W ahlberg and L

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:38.743813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.556630Z digest=sha256:1f400abefcdc8ce6465a24b185d0f9bd7343d5d71f15ecab540fed96c8546d25

Observation e5e88cec-8f3f-4d38-a7ac-01832a902e0a · outbound

This paper cites W ang, K.

Canonical Bayesian Linear System Identification W ang, K

Reference 48

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:16:33.635540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:16:33.635540Z digest=sha256:53b4b321e2ff2dde22ed085d188ec1090d27ec7717551aef610ad874f1fc066a

Observation adc55a74-804d-4963-b215-4582a26a670c · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:38.444256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.689851Z digest=sha256:72a645a3b7a74509100829d9f8bdaf3e70ce059b1a21316ea7a396262b7cf59e

Observation 03f5c38b-2869-46c4-8307-530fee68c6b1 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:38.255558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.730944Z digest=sha256:58abc88c243ca01e41004b70e7ca4012194f116c071a1bee56d555b7a27daa54

Observation 7eb9c8cf-74ee-4855-a5d9-32da5bbe632a · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:38.048931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.808673Z digest=sha256:55fb2770a73227a79803bb1c6ae5076428510411135458986d9293b7c27042f6

Observation 1ab0c627-4b46-4115-8478-ab900788eaf7 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:37.869236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.912189Z digest=sha256:5f9c126f97c9d4fcb4a806176dce8847613e19e684114f0a7909dc5abc3e859a

Observation faa14eef-075e-40ae-857e-0a45435facb3 · outbound

This paper cites Moreover, the likelihood p(y[T ] | LΘ, u[T ]) is smooth in Θ, and the system is both controllable and observable at Θ0.

Canonical Bayesian Linear System Identification Moreover, the likelihood p(y[T ] | LΘ, u[T ]) is smooth in Θ, and the system is both controllable and observable at Θ0

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:37.782118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:33.979072Z digest=sha256:6f1c4a71b5c1d634f6fdb956b025a50cf1fa363147ff0407afdc3854af626483

Observation 8718c71c-a11a-402d-b788-7e49b2641515 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:37.675205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.021323Z digest=sha256:709ef20fd87c907b9be3ac255f481448ef91b781257e6e713b478e70c9ddd027

Observation 08a00580-9bc7-4fd1-8ef9-2c272fad6249 · outbound

This paper cites BRYUTKIN, M.

Canonical Bayesian Linear System Identification BRYUTKIN, M

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:37.546782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.109448Z digest=sha256:1ad2951137da0eccdd5a932e645a4ebee414bd4fdf312c3f681790ec4d54256f

Observation 014c6915-2f2a-4324-88f7-db474ba24b49 · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:37.444996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.191152Z digest=sha256:8579e5188f5d0faf1394623ce61e702cd72dd10d9f8a08ce312136bf4d841503

Observation 74e50b77-f4b8-4a3f-aa8e-a06e20bfa679 · outbound

This paper cites By (3.5), this is equal to P0s′, so the initial state of the transformed system is identically distributed to that of LΘs′.

Canonical Bayesian Linear System Identification By (3.5), this is equal to P0s′, so the initial state of the transformed system is identically distributed to that of LΘs′

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:37.316595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.276301Z digest=sha256:67df787a6b3bcb370e47768ada9d9eb78b77a54c747b195b058e6a551c24cf2e

Observation 5e9e57be-b787-441d-b874-48118f7015ad · outbound

This paper cites an unresolved cited work.

Canonical Bayesian Linear System Identification Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:16:37.196741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.383516Z digest=sha256:9af3068b1a98f6e251a3df65796817599073fb19bdca68d223b9e4fb1f082f4f

Observation 61d366cb-1a9f-422d-9934-a3a8d2b8fd4d · outbound

This paper cites TX t=1 ∂νt ∂θi ⊤ S−1 t ∂νt ∂θj # + 1 2 E.

Canonical Bayesian Linear System Identification TX t=1 ∂νt ∂θi ⊤ S−1 t ∂νt ∂θj # + 1 2 E

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:37.089037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.479220Z digest=sha256:0abe766abc8c82f2dcf2bd597e4c197b1949114d7116f41895c087228a6db467

Observation d465eb69-4bed-4f2f-acaf-518ec61d13c5 · outbound

This paper cites Here, the parameter vector is θ = [a1,.

Canonical Bayesian Linear System Identification Here, the parameter vector is θ = [a1,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:36.977781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.599219Z digest=sha256:a7bdf323097432e3ba8136d9a6fb7a109bcfbfeea16f30ff0df5609ee8ca1635

Observation e4bfa01e-0fff-4970-9914-31cc46b55c55 · outbound

This paper cites cherry- picking.

Canonical Bayesian Linear System Identification cherry- picking

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:16:36.877151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:16:34.672248Z digest=sha256:c3ecbbff9170bafb430988a20acf98f05a8622277d49e47fab89bab4f0a91373

Pith citing papers

Observation 20498506-2d3f-4a41-b215-75512116da08 · inbound

Bayesian Active Learning for Bayesian Model Updating: the Art of Acquisition Functions and Beyond cites this paper.

Bayesian Active Learning for Bayesian Model Updating: the Art of Acquisition Functions and Beyond Canonical Bayesian Linear System Identification

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:31:06.973663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T08:28:21.351602Z digest=sha256:9aa53a67cf863c3d15fcef5425d34a92fbc0a85256cc02207a35038bf63e0f3c

Observation 9df0dbfb-148c-4f94-bc21-566701ea6c21 · inbound

When is a System Discoverable from Data? Discovery Requires Chaos cites this paper.

When is a System Discoverable from Data? Discovery Requires Chaos Canonical Bayesian Linear System Identification

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T22:50:30.683790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:50:30.683790Z digest=sha256:c8ea82bba457e7a8b8af3e72b29a8efc6c0c1299abdf395bb9e9e4cf16f53809