Paper Citation Record · LEDGER

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.29907.

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

pith.paper-citation-record.v1
2605.29907 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:56:02.574929Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

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unresolved30
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External citation measurements

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Outbound references

Observation 08b51b1e-c34a-4bf3-a8f3-d5a27c34cf93 · outbound

This paper cites Mathematical modeling for estimating influenza vaccine efficacy: A case study of the Valencian Community, Spain.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Mathematical modeling for estimating influenza vaccine efficacy: A case study of the Valencian Community, Spain

Reference 1

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Observation 9e95c264-6436-4609-a270-91365889d815 · outbound

This paper cites Mathematical modeling of influenza dynamics: Integrating seasonality and gradual waning immunity.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Mathematical modeling of influenza dynamics: Integrating seasonality and gradual waning immunity

Reference 2

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Observation a6597812-56c0-48ff-b407-21bf5fbc0a6a · outbound

This paper cites A multi-model ensemble Kalman filter for data assimilation and fore- casting.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A multi-model ensemble Kalman filter for data assimilation and fore- casting

Reference 3

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Observation 72aee735-fb3f-4347-806f-860131873558 · outbound

This paper cites A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereon.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereon

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation ad8b4911-96e0-4eb6-a9a3-14d99605f673 · outbound

This paper cites Network epidemi- ological analysis of COVID-19 transmission patterns by age, occupation and residence across four waves in Cyprus.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Network epidemi- ological analysis of COVID-19 transmission patterns by age, occupation and residence across four waves in Cyprus

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 54d277a6-dc12-4ae3-be2d-0e25b1b50215 · outbound

This paper cites A tutorial on particle filtering and smoothing: Fifteen years later.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A tutorial on particle filtering and smoothing: Fifteen years later

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 44676cb7-2fd7-4be2-b159-4bc014903fdb · outbound

This paper cites Data assimilation for agent-based models.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Data assimilation for agent-based models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 7e6d8197-923a-4fb1-b5b1-3f378dd9ee9c · outbound

This paper cites Age-structured model of dengue transmission dynamics with time- varying parameters, and its application to Brazil.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Age-structured model of dengue transmission dynamics with time- varying parameters, and its application to Brazil

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation c2e4ab12-d6c4-4318-9572-0d701776349f · outbound

This paper cites Three basic epidemiological models.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Three basic epidemiological models

Reference 9

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Observation 91391a14-cde7-4f96-85a8-8d3d7a6077c1 · outbound

This paper cites A stochastic agent-based model of the SARS-CoV-2 epidemic in France.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A stochastic agent-based model of the SARS-CoV-2 epidemic in France

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 5d356d4e-8301-429e-91f1-3d53f0112d02 · outbound

This paper cites Particle filter-based data assimilation in dynamic data-driven simulation: Sensitivity analysis of three critical experimental conditions.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Particle filter-based data assimilation in dynamic data-driven simulation: Sensitivity analysis of three critical experimental conditions

Reference 11

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Observation 26cdb2ec-61e8-4b8f-b0b2-b539522c521b · outbound

This paper cites A minimal model for household effects in epidemics.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A minimal model for household effects in epidemics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation e7d168ea-4613-48ae-8edb-06b92ef68b65 · outbound

This paper cites Extinction and sta- tionary distribution of a stochastic COVID-19 epidemic model with time-delay.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Extinction and sta- tionary distribution of a stochastic COVID-19 epidemic model with time-delay

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 23d4a0dc-de1a-4e2a-9d13-05e4556a0d8e · outbound

This paper cites Assessing the impact of disease incidence and immunization on the resilience of complex networks during epidemics.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Assessing the impact of disease incidence and immunization on the resilience of complex networks during epidemics

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 1bd8e766-bde4-49e7-a581-debff9c5907b · outbound

This paper cites A comparative study of deterministic and stochastic computational modeling approaches for analyzing and optimizing COVID-19 control.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan A comparative study of deterministic and stochastic computational modeling approaches for analyzing and optimizing COVID-19 control

Reference 15

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Observation f9b1e4d3-5965-4fb3-b7b7-845e74d3bbc0 · outbound

This paper cites Mathematical models of the spread of infection.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Mathematical models of the spread of infection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation ee17d7d7-25fb-4684-9a4f-e9013b7d8c5a · outbound

This paper cites Concurrency measures in the era of temporal network epidemiology: A review.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Concurrency measures in the era of temporal network epidemiology: A review

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 47b4b112-3997-4fac-878b-7a76d037e67b · outbound

This paper cites Bridging compartmental models and network analysis in epidemiological modelling.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Bridging compartmental models and network analysis in epidemiological modelling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 1a2d5605-1db3-45f1-b3a3-222bb85d7c45 · outbound

This paper cites Stochastic epidemic models inference and diagnosis with Poisson random measure data augmentation.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Stochastic epidemic models inference and diagnosis with Poisson random measure data augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 011ca6db-7b1a-44d5-a033-8ad23c0f284d · outbound

This paper cites An age-structured extension to the vectorial capacity model.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan An age-structured extension to the vectorial capacity model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 528eb93d-598f-4a3e-a0ed-af33616a87ad · outbound

This paper cites Real-time growth rate for general stochastic SIR epidemics on unclustered networks.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Real-time growth rate for general stochastic SIR epidemics on unclustered networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation e287a447-6151-4cfc-aa11-8fc083e138f3 · outbound

This paper cites Determining the rate of infectious disease testing through contagion potential.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Determining the rate of infectious disease testing through contagion potential

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 2d776107-51a2-487f-8cfd-16edbfc6b4d8 · outbound

This paper cites Spatial-temporal dynamics in nonlocal epidemiological models.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Spatial-temporal dynamics in nonlocal epidemiological models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation cfcb3c82-568c-4640-a634-d28c0f0edd9c · outbound

This paper cites Data-assimilation and state estimation for contact-based spreading processes using the ensemble Kalman filter: Application to COVID- 19.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Data-assimilation and state estimation for contact-based spreading processes using the ensemble Kalman filter: Application to COVID- 19

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 0a4394ca-8b32-4863-84b6-1b2fdbde75e5 · outbound

This paper cites Analysis of COVID-19 spread in Tokyo through an agent-based model with data assimilation.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Analysis of COVID-19 spread in Tokyo through an agent-based model with data assimilation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 62a85602-7ff0-407d-935d-98cd26ae53e6 · outbound

This paper cites Data assim- ilation and agent-based modelling: Towards the incorporation of categorical agent parameters.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Data assim- ilation and agent-based modelling: Towards the incorporation of categorical agent parameters

Reference 26

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Observation 244d03bc-e63c-4b17-bee1-77a37033d745 · outbound

This paper cites Open problems in mathematical biology.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Open problems in mathematical biology

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T23:56:02.574929Z

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Observation 96ba8415-eaf6-4d0e-86ad-16d0fa65bf57 · outbound

This paper cites Spatially structured models of viral dynamics: A scoping review.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Spatially structured models of viral dynamics: A scoping review

Reference 28

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Observation cb9f9db0-b353-4878-9b71-e14d24d8b17a · outbound

This paper cites Computation of the basic reproduction numbers for reaction-diffusion epidemic models.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan Computation of the basic reproduction numbers for reaction-diffusion epidemic models

Reference 29

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Observation 423c0848-9018-4079-ac35-d665c4a2f817 · outbound

This paper cites InfectiousDiseasesWeeklyReport: Provisionaldata.

Stochastic network epidemic model and particle filter: General framework and application to influenza in Japan InfectiousDiseasesWeeklyReport: Provisionaldata

Reference 30

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Pith citing papers

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