Paper Citation Record · LEDGER

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions

As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2507.04496.

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

pith.paper-citation-record.v1
2507.04496 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:32:18.127855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:32:57.274572Z

Reference resolution

53 of 53 outbound references displayed

verified exact5
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External citation measurements

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Outbound references

Observation adb1dc10-cde3-48d5-8d21-ce4998b31139 · outbound

This paper cites Identifiability of directed-cycle and catenary linear compartment models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiability of directed-cycle and catenary linear compartment models

Reference 1

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Observation 0d53258d-3fb1-424a-a9fb-bf659d43bb12 · outbound

This paper cites On the existence of identifiable reparametrizations for linear compartment models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions On the existence of identifiable reparametrizations for linear compartment models

Reference 2

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Observation 5fe982d5-b52b-4806-afc2-613ed1ea8a1d · outbound

This paper cites Nonlinear compartmental modeling to monitor ovar- ian follicle population dynamics on the whole lifespan.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Nonlinear compartmental modeling to monitor ovar- ian follicle population dynamics on the whole lifespan

Reference 3

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Observation 11d6dcf4-5424-48f4-9c92-163270bf8231 · outbound

This paper cites Villaverde.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Villaverde

Reference 4

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Observation 13001e74-1cce-402d-9d97-aaaecbaa398e · outbound

This paper cites Framing global structural identifiability in terms of parameter symmetries.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Framing global structural identifiability in terms of parameter symmetries

Reference 5

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Observation ff7ac604-e4c0-4954-b378-567b40925697 · outbound

This paper cites Identifiability of linear compartmental tree models and a general formula for input-output equations.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiability of linear compartmental tree models and a general formula for input-output equations

Reference 6

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Observation 60c104a8-567f-4465-a31f-1f54347ff283 · outbound

This paper cites Identifiable paths and cycles in linear compartmental models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiable paths and cycles in linear compartmental models

Reference 7

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Observation 899f45bd-42d4-4f19-99bd-24e9c052c613 · outbound

This paper cites Browning, Maria Tasca, Carles Falco, and Ruth E.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Browning, Maria Tasca, Carles Falco, and Ruth E

Reference 8

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Observation 905d4f85-c940-47ac-8aea-56f12a639be4 · outbound

This paper cites Browning, David J.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Browning, David J

Reference 9

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Observation e5cb5247-e896-418b-a5f8-981f96486366 · outbound

This paper cites Algebraic identifiability of partial differential equation models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Algebraic identifiability of partial differential equation models

Reference 10

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Observation 01521d7d-b617-49f8-8033-27907745c5cf · outbound

This paper cites Structural identifiabil- ity analysis of epidemic models based on differential equations: a tutorial-based primer.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural identifiabil- ity analysis of epidemic models based on differential equations: a tutorial-based primer

Reference 11

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Observation 6f668646-93d4-4b7c-979b-fa39fe234969 · outbound

This paper cites Identifiability of parameters in mathematical models of SARS-CoV-2 infec- tions in humans.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiability of parameters in mathematical models of SARS-CoV-2 infec- tions in humans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.461711Z

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Observation 641df3f4-2cd4-4c0d-926e-3dad5bb7c66b · outbound

This paper cites Parameter identifiability of linear-compartmental mammillary models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Parameter identifiability of linear-compartmental mammillary models

Reference 13

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Observation 92ac3e95-81dd-443c-a4fd-92835a9bb221 · outbound

This paper cites Cobelli, A.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Cobelli, A

Reference 14

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Observation adcd28d5-a52f-4496-a094-f888682549b4 · outbound

This paper cites Woodall, Margarita Gutova, Bihong T.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Woodall, Margarita Gutova, Bihong T

Reference 15

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Observation 721099fa-07cf-4353-89c1-35345723dfd4 · outbound

This paper cites Structural identifiability of compartmental models for infectious disease transmission is influenced by data type.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural identifiability of compartmental models for infectious disease transmission is influenced by data type

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.429117Z

Source-reported events for the cited work

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Observation 5032a01b-a174-4a62-88bc-b29ac88e2b1e · outbound

This paper cites Harrington, and Gleb Pogudin.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Harrington, and Gleb Pogudin

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.417444Z

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Observation aae9da6b-ce30-4636-ba9e-3d1bded9643b · outbound

This paper cites A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.407942Z

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Observation 596de4b5-a722-43e9-b4be-9491bf1b818f · outbound

This paper cites Rafael Sendra.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Rafael Sendra

Reference 19

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Observation d1ccfbc2-978e-47c6-83ca-d25f86a4fd72 · outbound

This paper cites Database for identifiability properties of linear compartmental models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Database for identifiability properties of linear compartmental models

Reference 20

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Observation f36c376c-3b62-45e4-8782-493eb4ef2e34 · outbound

This paper cites Linear compartmental models: input- output equations and operations that preserve identifiability.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Linear compartmental models: input- output equations and operations that preserve identifiability

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.387363Z

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Observation 6b40a1bd-f6ca-4ca4-bbc2-a4358814f876 · outbound

This paper cites Joining and decomposing reaction networks.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Joining and decomposing reaction networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.377746Z

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Observation 0c10e9ce-298b-42b1-963a-56ac28955da8 · outbound

This paper cites Identifiability of linear compartmental models: The singular locus.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiability of linear compartmental models: The singular locus

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.367542Z

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Observation 8a81ddb6-3bac-4a73-bfbc-57bb7b18a525 · outbound

This paper cites Haus, Tormod Drengstig, and Kristian Thorsen.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Haus, Tormod Drengstig, and Kristian Thorsen

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.356956Z

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Observation f67c77d1-5c55-4bcd-8f3c-8cd3f079e6c9 · outbound

This paper cites Global identifiability of differential models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Global identifiability of differential models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.346810Z

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Observation 1d395f8e-007a-4616-9638-70c8aab59a42 · outbound

This paper cites SIAN: software for structural identifiability analysis of ODE models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions SIAN: software for structural identifiability analysis of ODE models

Reference 26

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Observation 4c4ed27e-18fb-474d-8067-f9a173265b7e · outbound

This paper cites Web-based structural identifiability analyzer.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Web-based structural identifiability analyzer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.330934Z

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Observation 9cfd4df3-6675-480a-946e-717d109cacad · outbound

This paper cites A mathematical model for the role of vaccination and treatment in measles transmission in Turkey.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions A mathematical model for the role of vaccination and treatment in measles transmission in Turkey

Reference 28

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Observation fb379633-7e0c-4890-bb4b-1a06b7627b7d · outbound

This paper cites Three novel approaches to structural identifiability analysis in mixed-effects models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Three novel approaches to structural identifiability analysis in mixed-effects models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.313549Z

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Observation f1356179-9898-46aa-bb48-fa6d88d73d9c · outbound

This paper cites Determining minimal output sets that ensure structural identifiability.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Determining minimal output sets that ensure structural identifiability

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.304520Z

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Observation d085d27e-6b37-46e2-9d9b-b2fbcf5047d8 · outbound

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Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Unresolved cited work

Reference 31

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Observation e4232a22-0e7a-4f6b-8f82-bcdcf79da7ad · outbound

This paper cites Maini, Daniel J.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Maini, Daniel J

Reference 32

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Observation 0e1fc99e-e648-4c94-a9d2-d205e6be3121 · outbound

This paper cites Liyanage, Gerardo Chowell, Gleb Pogudin, and Necibe Tuncer.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Liyanage, Gerardo Chowell, Gleb Pogudin, and Necibe Tuncer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.277036Z

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Observation 1fa3b9b1-13e9-44b5-85e4-b9507b627042 · outbound

This paper cites A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl

Reference 34

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Observation 4874718a-8ddd-4699-a30a-390cb6488b5b · outbound

This paper cites Structural identifiability and observability of compartmental models of the COVID-19 pandemic.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural identifiability and observability of compartmental models of the COVID-19 pandemic

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.267428Z

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Observation 70b50ee1-34e4-4539-b466-d15952e5d1b7 · outbound

This paper cites Finding and breaking Lie symmetries: implications for structural identifiability and observability in biological modelling.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Finding and breaking Lie symmetries: implications for structural identifiability and observability in biological modelling

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.258946Z

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Observation e2965172-8241-4d9b-9788-f6532e63b042 · outbound

This paper cites Algorithm to find new identifiable reparametriza- tions of parametric rational ODE models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Algorithm to find new identifiable reparametriza- tions of parametric rational ODE models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.249583Z

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Observation 53210d67-479c-4e99-b514-11f77b2dffeb · outbound

This paper cites Identifiable reparametrizations of linear compartment models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiable reparametrizations of linear compartment models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.240715Z

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Observation a8d3221d-0559-47ca-800f-05659b5256bc · outbound

This paper cites Identifiability results for several classes of linear com- partment models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiability results for several classes of linear com- partment models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.231891Z

Source-reported events for the cited work

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Observation a492ba96-c588-4b6a-8337-403eb9dd4ad0 · outbound

This paper cites Structural and practical identifiability analysis of a multi- scale immuno-epidemiological model.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural and practical identifiability analysis of a multi- scale immuno-epidemiological model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.223541Z

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Observation dcbf8d98-625f-470a-9f21-58f61a7eda61 · outbound

This paper cites On the importance of structural identifiability for machine learning with partially observed dynamical systems.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions On the importance of structural identifiability for machine learning with partially observed dynamical systems

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:52:25.927493Z

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Observation c62a56b0-c094-492c-9fc8-09964fec11fa · outbound

This paper cites Computing all identifiable functions of parameters for ODE models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Computing all identifiable functions of parameters for ODE models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.214456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3a19f0f9-19f3-40e2-8018-26ee66330c77 · outbound

This paper cites Multi-experiment parameter identifia- bility of ODEs and model theory.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Multi-experiment parameter identifia- bility of ODEs and model theory

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.204436Z

Source-reported events for the cited work

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Observation 9ecaa40f-2860-42f8-8ebb-112b915bc787 · outbound

This paper cites Identifiable specializations for ODE models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Identifiable specializations for ODE models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:52:25.913845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99940c9e-fe4a-4230-bef9-20fbf8fac805 · outbound

This paper cites Input-output equations and identifiability of linear ODE models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Input-output equations and identifiability of linear ODE models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.194012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb68f3a4-310b-4c27-ad62-26816ea7b9d1 · outbound

This paper cites Structural identifiability analysis of age-structured PDE epidemic models.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural identifiability analysis of age-structured PDE epidemic models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.184542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a374eb31-b6c0-4e05-918a-234db261c00d · outbound

This paper cites Benchmarking tools for a priori identifiability analysis.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Benchmarking tools for a priori identifiability analysis

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.175307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 794db68a-b277-4035-be94-7da70e16fe59 · outbound

This paper cites The union between structural and practical identifiability makes strength in reducing oncological model complexity: a case study.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions The union between structural and practical identifiability makes strength in reducing oncological model complexity: a case study

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.166655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54a7689f-f322-4775-8773-bc79c8b9e04d · outbound

This paper cites an unresolved cited work.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:52:26.157766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d40200c-eee5-452a-b88f-2e7a28a2fd2a · outbound

This paper cites Structural identifiability of linear-in-parameter parabolic PDEs through auxiliary elliptic operators.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Structural identifiability of linear-in-parameter parabolic PDEs through auxiliary elliptic operators

Reference 50

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Observation 61748074-d4e9-4eab-8dde-26c5c6a742f3 · outbound

This paper cites Computing measures of identifiability, observability, and controllability for a dynamic system model with the StrucID App.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Computing measures of identifiability, observability, and controllability for a dynamic system model with the StrucID App

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.148937Z

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Observation dd0b9d1d-b814-44ee-9a29-7a4d6eeabfbe · outbound

This paper cites Parameter identi- fiability and optimal control of an SARS-CoV-2 model early in the pandemic.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Parameter identi- fiability and optimal control of an SARS-CoV-2 model early in the pandemic

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.139594Z

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Observation 510739b5-e848-4472-a21f-954bccfa9c38 · outbound

This paper cites Egan, Nivedhitha Swaminathan, Carlos A.

Structural Identifiability of Compartmental Models: Recent Progress and Future Directions Egan, Nivedhitha Swaminathan, Carlos A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:52:26.130216Z

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Pith citing papers

Observation 6e937c49-10d5-4a8c-9a6a-968761f8d60c · inbound

Structural Identifiability and Discrete Symmetries cites this paper.

Structural Identifiability and Discrete Symmetries Structural Identifiability of Compartmental Models: Recent Progress and Future Directions

Reference 24

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