Paper Citation Record · LEDGER

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2506.00906.

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

pith.paper-citation-record.v1
2506.00906 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:19.524442Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:44:22.956261Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact3
verified fuzzy31
unresolved5
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2bb19a1-0de1-42c4-a430-ba1052e35935 · outbound

This paper cites Extended skew Kalman filters for COVID-19 pandemic state estimation.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Extended skew Kalman filters for COVID-19 pandemic state estimation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.889290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f8536c6-2605-4c42-af81-7db4bea20923 · outbound

This paper cites F.,ANDKURTZ, T.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information F.,ANDKURTZ, T

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.807999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bcffb3f1-4fbc-4475-8389-6b72906c5541 · outbound

This paper cites Tracking R of COVID-19: A new real-time estimation using the Kalman filter.PloS one 16, 1 (2021), e0244474.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Tracking R of COVID-19: A new real-time estimation using the Kalman filter.PloS one 16, 1 (2021), e0244474

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.651275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf3c01fc-d87c-418a-b398-7d1c43a5d00a · outbound

This paper cites an unresolved cited work.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:25.554665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dade2032-55a7-49e8-8ccb-158649b6ca31 · outbound

This paper cites N.Generalized inverses: theory and applications.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information N.Generalized inverses: theory and applications

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.426805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2cf719c-5b53-4c34-a37e-3ccf0db2923e · outbound

This paper cites N., DEY, N.,ANDSANTOSH, K.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information N., DEY, N.,ANDSANTOSH, K

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.350146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7843e054-ddc4-4b7e-bc05-cd6a4dea6f34 · outbound

This paper cites Stochastic epidemic models: a survey.Mathematical Biosciences 225, 1 (2010), 24–35.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Stochastic epidemic models: a survey.Mathematical Biosciences 225, 1 (2010), 24–35

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.276494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02a13600-8200-4566-82a4-bff1454c42c1 · outbound

This paper cites an unresolved cited work.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:25.178801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f055af8-47f5-48a9-9909-4c12f1d52544 · outbound

This paper cites Springer Internat.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Springer Internat

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:25.048829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67021831-ec60-4953-b30b-d7cded827a0a · outbound

This paper cites L., PARDOUX, E., SZNITMAN, A.-S.,ANDPARDOUX, E.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information L., PARDOUX, E., SZNITMAN, A.-S.,ANDPARDOUX, E

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:24.910648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea333142-651e-448c-a6b7-a32aa5346402 · outbound

This paper cites Bayesian particle filter algorithm for learning epidemic dynamics.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Bayesian particle filter algorithm for learning epidemic dynamics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:24.801376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d7b05af-02ee-4fc5-bb59-01baae133abd · outbound

This paper cites Adaptive dynamic modelling of HIV/AIDS epidemic using extended Kalman filter.Journal of Biological Systems 3, 03 (1995), 759–768.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Adaptive dynamic modelling of HIV/AIDS epidemic using extended Kalman filter.Journal of Biological Systems 3, 03 (1995), 759–768

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:24.692734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a33ae5d-39a3-4e43-b434-90b54c63065c · outbound

This paper cites COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:01:20.246389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9812abed-e27c-42e2-aadd-6aa9f2d2c32e · outbound

This paper cites On Kalman filtering for conditionally Gaussian systems with random matrices.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information On Kalman filtering for conditionally Gaussian systems with random matrices

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:24.593862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a83e345-853f-49b9-ab9f-2e548a86e54b · outbound

This paper cites an unresolved cited work.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:24.457556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c23c712a-1cbd-4268-b95c-2d3b4cfb039a · outbound

This paper cites an unresolved cited work.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:24.356081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6764157-b4df-44a3-85d9-801d6dfbc0df · outbound

This paper cites A filtering approach for statistical inference in a stochastic SIR model with an application to Covid-19 data.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information A filtering approach for statistical inference in a stochastic SIR model with an application to Covid-19 data

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:01:20.039010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33171f95-2b72-4636-ac40-5a886fe2cd9c · outbound

This paper cites N.,ANDKURTZ, T.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information N.,ANDKURTZ, T

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:24.205097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c56be721-f868-4652-8416-380d07cf7911 · outbound

This paper cites M., LAYDON, D., NEDJATI-GILANI, G., IMAI, N., AINSLIE, K., BAGUELIN, M., BHATIA, S., BOONYASIRI, A., CUCUNUBÁ, Z., CUOMO-DANNENBURG, G.,ET AL.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information M., LAYDON, D., NEDJATI-GILANI, G., IMAI, N., AINSLIE, K., BAGUELIN, M., BHATIA, S., BOONYASIRI, A., CUCUNUBÁ, Z., CUOMO-DANNENBURG, G.,ET AL

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:01:24.087251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9fd7e12-cc94-456a-8b4d-0ec2e177c69f · outbound

This paper cites MIT press, 1974.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information MIT press, 1974

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.974572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c13066d0-8c64-4b23-8b7c-3d7ae41e58cc · outbound

This paper cites Approximation of epidemic models by diffusion processes and their statistical inference.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Approximation of epidemic models by diffusion processes and their statistical inference

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.840373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 156c2bd2-b3c1-48a7-a7b6-2a2253cc84a0 · outbound

This paper cites Approximation and inference of epidemic dynamics by diffusion processes.Journal de la Société Française de Statistique 157, 1 (2016), 71–100.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Approximation and inference of epidemic dynamics by diffusion processes.Journal de la Société Française de Statistique 157, 1 (2016), 71–100

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.726827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 679ca72e-5548-4c0f-a66f-aa33e42daaff · outbound

This paper cites A new estimation method for COVID-19 time-varying reproduction number using active cases.Scientific Reports 12, 1 (2022), 6675.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information A new estimation method for COVID-19 time-varying reproduction number using active cases.Scientific Reports 12, 1 (2022), 6675

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.591179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2480373-32a1-4b14-b9e6-115c6ca168f2 · outbound

This paper cites L., BHADRA, A., ATCHADÉ, Y.,ANDKING, A.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information L., BHADRA, A., ATCHADÉ, Y.,ANDKING, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.469201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c8e0ba5-9ae6-42bd-86d5-7a7162be21d6 · outbound

This paper cites Stochastic Epidemic Models with Partial Information.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Stochastic Epidemic Models with Partial Information

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:01:19.884389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81cf5cdd-2460-48c6-89e6-7fdfc2b2169c · outbound

This paper cites An application of the ensemble Kalman filter in epidemiological modelling.Plos one 16, 8 (2021), e0256227.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information An application of the ensemble Kalman filter in epidemiological modelling.Plos one 16, 8 (2021), e0256227

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.251682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43d8af0d-2c6c-4901-8126-8555042ea6f6 · outbound

This paper cites E.,ANDFINKENSTÄDT, B.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information E.,ANDFINKENSTÄDT, B

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:23.039517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a164bbe-612e-4f7a-a3db-feb5410e0cd9 · outbound

This paper cites S.,ANDSHIRYAEV, A.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information S.,ANDSHIRYAEV, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:22.838885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 920c04d6-0265-4260-9ec1-323d2acbb83f · outbound

This paper cites S., HAARIO, H.,ANDTCHUENCHE, J.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information S., HAARIO, H.,ANDTCHUENCHE, J

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:22.668383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25cdf6d8-fb6d-45ac-b1d9-e12e67bc0f48 · outbound

This paper cites M., KAMKUMO, F.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information M., KAMKUMO, F

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:22.450127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff325d85-a527-44eb-8a46-d1c94c070efd · outbound

This paper cites Stochastic Optimal Control of an Epidemic Under Partial Information.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Stochastic Optimal Control of an Epidemic Under Partial Information

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:01:19.694854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 736cff57-3e0e-490c-96dd-f76496a5a654 · outbound

This paper cites D.,ANDROBERTS, G.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information D.,ANDROBERTS, G

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:22.187789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71ee4840-ce99-4b9f-b87e-e7428ee8eb7b · outbound

This paper cites Efficiency of the extended Kalman filter for nonlinear systems with small noise.SIAM Journal on applied mathematics 51, 3 (1991), 843–885.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Efficiency of the extended Kalman filter for nonlinear systems with small noise.SIAM Journal on applied mathematics 51, 3 (1991), 843–885

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:21.938663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ec8a2be-7488-44da-a30d-e05d1b39618d · outbound

This paper cites Estimation of the quadratic variation of nearly observed semimartingales with application to filtering.SIAM journal on control and optimization 31, 2 (1993), 494–517.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Estimation of the quadratic variation of nearly observed semimartingales with application to filtering.SIAM journal on control and optimization 31, 2 (1993), 494–517

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:21.703633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c37463f-d7e7-4760-b05f-d9eebdfaf34c · outbound

This paper cites Community mitigation guidelines to prevent pandemic influenza—united states, 2017.MMWR.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Community mitigation guidelines to prevent pandemic influenza—united states, 2017.MMWR

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:21.446918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 134fa298-526f-4975-9629-ca3e6452268a · outbound

This paper cites EKF-SIRD model algorithm for predicting the Coronavirus (COVID-19) spreading dynamics.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information EKF-SIRD model algorithm for predicting the Coronavirus (COVID-19) spreading dynamics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:21.320909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc647d49-cadd-4333-a492-b4dcd483590e · outbound

This paper cites Maximum likelihood-based extended Kalman filter for COVID-19 prediction.Chaos, Solitons & Fractals 146(2021), 110922.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Maximum likelihood-based extended Kalman filter for COVID-19 prediction.Chaos, Solitons & Fractals 146(2021), 110922

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:21.143025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cfe7462-18a9-4d8e-b9b0-017088ac4bc7 · outbound

This paper cites an unresolved cited work.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:20.949606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed164580-01e6-4022-83c3-a07be67f35c9 · outbound

This paper cites Optimal control strategies based on extended Kalman filter in mathematical models of COVID-19.International Journal of Electrical & Computer Engineering (2088-8708) 14, 6 (2024).

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Optimal control strategies based on extended Kalman filter in mathematical models of COVID-19.International Journal of Electrical & Computer Engineering (2088-8708) 14, 6 (2024)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:20.763339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38e38bf0-1568-4fcc-a17f-08b13c490a0b · outbound

This paper cites Dynamics identification and forecasting of COVID-19 by switching Kalman filters.Computational Mechanics 66(2020), 1179–1193.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Dynamics identification and forecasting of COVID-19 by switching Kalman filters.Computational Mechanics 66(2020), 1179–1193

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:20.596640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eaf98e7f-881c-4eb6-9e69-ae8c1a83b664 · outbound

This paper cites Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling.Computers in Biology and Medicine 137(2021), 104810.

Estimating Unobservable States in Stochastic Epidemic Models with Partial Information Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling.Computers in Biology and Medicine 137(2021), 104810

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:20.454370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation dffcdef2-582d-40da-bba6-2b1bd4b9027c · inbound

Identifiability and Information-Based Inference for Epidemic Transmission Models Under Partial Observation cites this paper.

Identifiability and Information-Based Inference for Epidemic Transmission Models Under Partial Observation Estimating Unobservable States in Stochastic Epidemic Models with Partial Information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T03:44:22.956261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.