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Paper Citation Record · LEDGER

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2512.25056.

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

pith.paper-citation-record.v1
2512.25056 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:15:29.956129Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact10
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 208d8a72-e90a-498a-8427-d118bbc2230b · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-03T13:18:36.068836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90f01c0d-6c99-4ab8-a237-29a1fad0f20f · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-03T13:15:26.884906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 11053eb9-08d4-42c8-9b81-cf1f27faf0bc · outbound

This paper cites Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-03T13:18:35.783275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c5cdf6d8-b766-4edb-a91a-06da662b40cb · outbound

This paper cites Mahdianfar, A.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Mahdianfar, A

Reference 4

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no resolver link, observed 2026-08-03T13:15:27.241963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 05d5a75e-2607-442f-9c46-d687325db76e · outbound

This paper cites Wielitzka, M.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Wielitzka, M

Reference 5

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no resolver link, observed 2026-08-03T13:15:27.353353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66cb46db-304c-4a1f-9776-2fe501582489 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-08-03T13:18:35.568117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 69635dea-1456-4aae-812e-d28eb1ce827c · outbound

This paper cites Kitagawa, A self-organizing state-space model, J.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Kitagawa, A self-organizing state-space model, J

Reference 7

Resolution
verified exact
doi, observed 2026-08-03T13:18:35.246198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a0cdc95-0e19-44e8-b8a5-cb7cd7a666ae · outbound

This paper cites Uzunoglu, M.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Uzunoglu, M

Reference 8

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no resolver link, observed 2026-08-03T13:15:27.717865Z

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Unavailable: canonical work link unavailable.

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Observation 3c887752-d1ef-4b89-bfaf-96cb6cc6c573 · outbound

This paper cites Kantas, A.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Kantas, A

Reference 9

Resolution
verified exact
doi, observed 2026-08-03T13:18:34.935764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8229b09-cfaa-4e0d-8e4d-df06c90854f6 · outbound

This paper cites Snyder, T.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Snyder, T

Reference 10

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no resolver link, observed 2026-08-03T13:15:27.912334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae4f87dc-333a-4eb0-bc1e-4ceb6230aae6 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 11

Resolution
verified exact
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Source-reported events for the cited work

correction dated 2025-02-12. Source: crossref record 10.2514/6.2025-1960.c1->10.2514/6.2025-1960:correction, observed 2026-07-11T03:01:33.166748+00:00. This notice travels one citation hop only.

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Observation f5d5602a-d866-43f3-91b0-6872e2c6c2c0 · outbound

This paper cites Chopin, P.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Chopin, P

Reference 12

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Unavailable: canonical work link unavailable.

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Observation aaf165cd-33c8-4e16-b3ef-1204c63ad18b · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-03T13:15:28.407187Z

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Unavailable: canonical work link unavailable.

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Observation 44982df0-07b7-4600-a8b6-94c329b1456b · outbound

This paper cites Campbell, Y.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Campbell, Y

Reference 14

Resolution
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no resolver link, observed 2026-08-03T13:15:28.599265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 757cb87b-cf11-4b40-bec4-5aebd062e1d9 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-03T13:15:28.657467Z

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Unavailable: canonical work link unavailable.

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Observation d720c1ce-a100-4bc6-b565-4b298c7ca2d8 · outbound

This paper cites Ryder, A.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Ryder, A

Reference 16

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no resolver link, observed 2026-08-03T13:15:28.736419Z

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Unavailable: canonical work link unavailable.

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Observation 63a0e3e7-4528-4de0-8aab-7ff11ff4880f · outbound

This paper cites Courts, J.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Courts, J

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0eef2058-e09a-4d05-ac59-817460acff25 · outbound

This paper cites Yoshimoto, S.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Yoshimoto, S

Reference 18

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no resolver link, observed 2026-08-03T13:15:28.892233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1951be6-cc86-4129-9e6d-8ed7b48b4993 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 19

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Unavailable: canonical work link unavailable.

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Observation 7d36d7ec-5c3f-4d6d-9075-8efa9c53a3e0 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 20

Resolution
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Unavailable: canonical work link unavailable.

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Observation 45396bf8-13a8-4796-ad6b-3fc8a3b7454b · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 21

Resolution
verified exact
doi, observed 2026-08-03T13:18:34.060675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5c240a8e-f19b-4688-93c3-564c5cedfcb4 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 0ef46cea-6ce1-4c64-a242-2fa11d2b06dd · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 2b804607-1dd8-4109-943d-d87704fe0bfa · outbound

This paper cites Säkkä, Bayesian filtering and smoothing (2013).

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Säkkä, Bayesian filtering and smoothing (2013)

Reference 24

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Unavailable: canonical work link unavailable.

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Observation ba8a7ab0-7a11-495c-8e64-f643914a61e9 · outbound

This paper cites Kerin, H.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Kerin, H

Reference 25

Resolution
verified exact
doi, observed 2026-08-03T13:18:33.776782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4b1a31f7-b054-490b-8240-e117dfda8876 · outbound

This paper cites Albarakati, M.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Albarakati, M

Reference 26

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no resolver link, observed 2026-08-03T13:15:29.605954Z

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Unavailable: canonical work link unavailable.

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This paper cites A global Lipschitz stability perspective for understanding approximate approaches in Bayesian sequential learning.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework A global Lipschitz stability perspective for understanding approximate approaches in Bayesian sequential learning

Reference 27

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1e3fcae3-f418-47e0-aeec-c95af3b5a737 · outbound

This paper cites log qi(Xi,θ) q∗ i (Xi,θ) !# =E (Xi,θ)∼qi(·).

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework log qi(Xi,θ) q∗ i (Xi,θ) !# =E (Xi,θ)∼qi(·)

Reference 28

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Unavailable: canonical work link unavailable.

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Observation deadd261-3f56-4107-8913-189fc7004acb · outbound

This paper cites DRAM generates 3×10 6 samples from the joint distributionp(X k,θ|Y k) at each time stepk.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework DRAM generates 3×10 6 samples from the joint distributionp(X k,θ|Y k) at each time stepk

Reference 100

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Unavailable: canonical work link unavailable.

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Observation 380a0c0c-fa8f-4988-bd43-3f722e6d1d33 · outbound

This paper cites an unresolved cited work.

Sequential Bayesian parameter-state estimation in dynamical systems with noisy and incomplete observations via a variational framework Unresolved cited work

Reference 2024

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.