Paper Citation Record · LEDGER

Learning Structured Population Models from Data with WSINDy

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.24101.

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

pith.paper-citation-record.v1
2506.24101 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:21:10.576962Z

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

Source: pith, observed 2026-08-06T20:21:15.595779Z

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation b396c6f5-349f-4604-a139-1a6a63e5e1f7 · outbound

This paper cites an unresolved cited work.

Learning Structured Population Models from Data with WSINDy Unresolved cited work

Reference 1

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Observation eaf557a4-f318-49fc-9072-1e7d389bb9f4 · outbound

This paper cites Some Remarks on Changing Populations,.

Learning Structured Population Models from Data with WSINDy Some Remarks on Changing Populations,

Reference 2

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Observation efdfac02-d814-45b0-b8fc-d66979e4ac3a · outbound

This paper cites The McKendrick partial differential equation and its uses in epi- demiology and population study,.

Learning Structured Population Models from Data with WSINDy The McKendrick partial differential equation and its uses in epi- demiology and population study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:58.478753Z

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Observation 0dec7c9e-308b-4f84-bf98-650e8e2c7c4f · outbound

This paper cites Applications of Mathematics to Medical Problems,.

Learning Structured Population Models from Data with WSINDy Applications of Mathematics to Medical Problems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:58.377236Z

Source-reported events for the cited work

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Observation 95b9f367-4c16-4f83-acc8-728efa2605d4 · outbound

This paper cites A New Model For Age-Size Structure of a Population,.

Learning Structured Population Models from Data with WSINDy A New Model For Age-Size Structure of a Population,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:58.182098Z

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Observation 66935719-ce8d-42e4-a362-4b1a96e3a36a · outbound

This paper cites Rapidly converging numerical algorithms for models of population dynamics,.

Learning Structured Population Models from Data with WSINDy Rapidly converging numerical algorithms for models of population dynamics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:58.068353Z

Source-reported events for the cited work

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Observation a20f1ca9-d4bd-403a-a338-1f143924d8b5 · outbound

This paper cites Determining a Coefficient in a First-Order Hyperbolic Equation,.

Learning Structured Population Models from Data with WSINDy Determining a Coefficient in a First-Order Hyperbolic Equation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:57.856937Z

Source-reported events for the cited work

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Observation a4dac118-04e8-41d2-950a-b49068d2fc0b · outbound

This paper cites Non-linear age-dependent population dynamics,.

Learning Structured Population Models from Data with WSINDy Non-linear age-dependent population dynamics,

Reference 8

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Observation 42e2074e-b881-4575-b08d-de929641c32d · outbound

This paper cites Some competition models for size-structured populations,.

Learning Structured Population Models from Data with WSINDy Some competition models for size-structured populations,

Reference 9

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Observation 0d5a9b7f-41f6-4c87-b6ac-96ec69a6a61b · outbound

This paper cites Inverse Problems and Structured-Population Dynamics,.

Learning Structured Population Models from Data with WSINDy Inverse Problems and Structured-Population Dynamics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:57.359899Z

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Observation ff794216-d3a9-4cb3-8e09-760988c5ac09 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems,.

Learning Structured Population Models from Data with WSINDy Discovering governing equations from data by sparse identification of nonlinear dynamical systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:57.138088Z

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Observation eeaeae93-5b51-4cc2-9127-7f71ca1353ca · outbound

This paper cites Data-driven discovery of partial differential equations,.

Learning Structured Population Models from Data with WSINDy Data-driven discovery of partial differential equations,

Reference 12

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Observation 2a677a74-9a49-4c24-98ed-1b0dcf801c96 · outbound

This paper cites Weak SINDy For Partial Differential Equations,.

Learning Structured Population Models from Data with WSINDy Weak SINDy For Partial Differential Equations,

Reference 13

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Observation 32045628-6566-4f0c-915b-99190122a176 · outbound

This paper cites Weak SINDy: Galerkin-Based Data-Driven Model Selection,.

Learning Structured Population Models from Data with WSINDy Weak SINDy: Galerkin-Based Data-Driven Model Selection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:56.521113Z

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Observation 3875c9dc-ca0f-4108-b355-5c42c081c689 · outbound

This paper cites Direct Estimation of Parameters in ODE Mod- els Using WENDy: Weak-form Estimation of Nonlinear Dynamics,.

Learning Structured Population Models from Data with WSINDy Direct Estimation of Parameters in ODE Mod- els Using WENDy: Weak-form Estimation of Nonlinear Dynamics,

Reference 15

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Observation 837fa708-386b-4576-808b-21dc5df11f9c · outbound

This paper cites WENDy for Nonlinear-in- Parameter ODEs,.

Learning Structured Population Models from Data with WSINDy WENDy for Nonlinear-in- Parameter ODEs,

Reference 16

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Source-reported events for the cited work

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Observation 21792d10-cfd8-4845-91d4-62cf9c835e9d · outbound

This paper cites Weak form-based data-driven modeling: Compu- tationally Efficient and Noise Robust Equation Learning and Parameter Inference,.

Learning Structured Population Models from Data with WSINDy Weak form-based data-driven modeling: Compu- tationally Efficient and Noise Robust Equation Learning and Parameter Inference,

Reference 17

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Observation 2ce69705-e094-4d29-92d9-fae3b5a947d8 · outbound

This paper cites The Weak Form Is Stronger Than You Think,.

Learning Structured Population Models from Data with WSINDy The Weak Form Is Stronger Than You Think,

Reference 18

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Source-reported events for the cited work

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Observation e6e4dd1a-f02a-42cc-b6d9-d25dcd81577d · outbound

This paper cites Measure-valued solutions for a hierarchically size-structured population,.

Learning Structured Population Models from Data with WSINDy Measure-valued solutions for a hierarchically size-structured population,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:55.833359Z

Source-reported events for the cited work

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Observation 88cba9a3-15ad-4871-9658-1a49b4c51378 · outbound

This paper cites A structured coagulation-fragmentation equation in the space of radon measures: Unifying discrete and continuous models,.

Learning Structured Population Models from Data with WSINDy A structured coagulation-fragmentation equation in the space of radon measures: Unifying discrete and continuous models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:55.632556Z

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Observation f6ec5eb0-817b-423d-a45d-fc0ba87526fc · outbound

This paper cites D¨ ull, P.

Learning Structured Population Models from Data with WSINDy D¨ ull, P

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:55.481570Z

Source-reported events for the cited work

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Observation f756ac3b-7d1a-4afe-a5c6-c40ec77bda25 · outbound

This paper cites The ultimate-sustainable-yield problem in nonlinear age-structured populations,.

Learning Structured Population Models from Data with WSINDy The ultimate-sustainable-yield problem in nonlinear age-structured populations,

Reference 22

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Observation 2078c899-3d1d-47bf-b37c-c8d8605ff092 · outbound

This paper cites Perthame, Transport Equations in Biology.

Learning Structured Population Models from Data with WSINDy Perthame, Transport Equations in Biology

Reference 23

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Source-reported events for the cited work

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Observation b8a360b2-a8dd-490c-b10d-dbba0cc12eb4 · outbound

This paper cites Influence of four major plant traits on average height, leaf-area cover, net primary productivity, and biomass density in single-species forests: A theoretical investigation,.

Learning Structured Population Models from Data with WSINDy Influence of four major plant traits on average height, leaf-area cover, net primary productivity, and biomass density in single-species forests: A theoretical investigation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:54.913996Z

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Observation 0b38b0ca-ad53-4181-900e-0c6fe573b26b · outbound

This paper cites On the dynamics of chemically stressed populations: The deduction of population consequences from effects on individuals,.

Learning Structured Population Models from Data with WSINDy On the dynamics of chemically stressed populations: The deduction of population consequences from effects on individuals,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:54.696172Z

Source-reported events for the cited work

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Observation a23db9d9-ba50-473d-9561-0ee08da2d22e · outbound

This paper cites Learning Physically Interpretable Atmospheric Models from Data with WSINDy.

Learning Structured Population Models from Data with WSINDy Learning Physically Interpretable Atmospheric Models from Data with WSINDy

Reference 26

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Source-reported events for the cited work

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Observation 27aaac53-70ec-4987-9f35-c6ce7d48d674 · outbound

This paper cites Weak-form inference for hybrid dynamical systems in ecology,.

Learning Structured Population Models from Data with WSINDy Weak-form inference for hybrid dynamical systems in ecology,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:54.504729Z

Source-reported events for the cited work

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Observation 0beb6ee2-cb42-4cf6-9a06-d32a541c06da · outbound

This paper cites Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control,.

Learning Structured Population Models from Data with WSINDy Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:54.271205Z

Source-reported events for the cited work

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Observation b0f763c1-fd5f-4817-9f61-3986e83e158a · outbound

This paper cites On the heterogeneity of human populations as reflected by mortality dynamics,.

Learning Structured Population Models from Data with WSINDy On the heterogeneity of human populations as reflected by mortality dynamics,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:54.110643Z

Source-reported events for the cited work

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Observation fca9147b-a5fd-46ba-a10b-dece544d56af · outbound

This paper cites Pareto-based optimization of sparse dynam- ical systems,.

Learning Structured Population Models from Data with WSINDy Pareto-based optimization of sparse dynam- ical systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:53.897316Z

Source-reported events for the cited work

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Observation c3bad239-6230-4936-a803-65b1292a1c76 · outbound

This paper cites Finite difference schemes for a structured population model in the space of measures,.

Learning Structured Population Models from Data with WSINDy Finite difference schemes for a structured population model in the space of measures,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:53.738377Z

Source-reported events for the cited work

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Observation 84a0dc71-8556-47a1-928f-6826aff0dc9a · outbound

This paper cites Data from: Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal,.

Learning Structured Population Models from Data with WSINDy Data from: Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:53.538435Z

Source-reported events for the cited work

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Observation 2d1291ff-676b-4d08-92c6-f9970501392f · outbound

This paper cites Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal,.

Learning Structured Population Models from Data with WSINDy Changes in age-structure over four decades were a key determinant of population growth rate in a long-lived mammal,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:53.342885Z

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Observation a68b51ba-1aae-4984-aa06-8a079f4afc0e · outbound

This paper cites Asymptotic consistency of the WSINDy algorithm in the limit of continuum data,.

Learning Structured Population Models from Data with WSINDy Asymptotic consistency of the WSINDy algorithm in the limit of continuum data,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:53.142638Z

Source-reported events for the cited work

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Observation 545eb23c-3671-47fd-b41e-9d303fb6396d · outbound

This paper cites Influence of initial conditions on data-driven model identification and information entropy for ideal mhd problems,.

Learning Structured Population Models from Data with WSINDy Influence of initial conditions on data-driven model identification and information entropy for ideal mhd problems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.954111Z

Source-reported events for the cited work

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Observation 52d5cb08-1f3e-4699-a4ef-173a470483b1 · outbound

This paper cites DoE-integrated Sparse Identification of Nonlinear Dynamics for Au- tomated Model Generation and Parameter Estimation in Kinetic Studies,.

Learning Structured Population Models from Data with WSINDy DoE-integrated Sparse Identification of Nonlinear Dynamics for Au- tomated Model Generation and Parameter Estimation in Kinetic Studies,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.806539Z

Source-reported events for the cited work

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Observation fd6b71c5-7ef5-456c-a2a2-69e31766a526 · outbound

This paper cites Estimation of growth and survival in size-structured cohort data: An application to larval striped bass (Morone saxatilis),.

Learning Structured Population Models from Data with WSINDy Estimation of growth and survival in size-structured cohort data: An application to larval striped bass (Morone saxatilis),

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.636572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9a0028d-3ef6-41a5-a29d-a694feb7be1b · outbound

This paper cites Estimation of Cell Proliferation Dynamics Using CFSE Data,.

Learning Structured Population Models from Data with WSINDy Estimation of Cell Proliferation Dynamics Using CFSE Data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.449117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94a3cab4-2a41-4c7e-882f-75c2a8c27e91 · outbound

This paper cites Finite difference approximations for measure- valued solutions of a hierarchicallysize-structured population model,.

Learning Structured Population Models from Data with WSINDy Finite difference approximations for measure- valued solutions of a hierarchicallysize-structured population model,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.229992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3207c4f-02af-459a-bfba-5c4633706b92 · outbound

This paper cites High resolution finite difference schemes for a size structured coagulation-fragmentation model in the space of radon measures,.

Learning Structured Population Models from Data with WSINDy High resolution finite difference schemes for a size structured coagulation-fragmentation model in the space of radon measures,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:52.061394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21f414e0-d9c5-4085-b39d-422c47406418 · outbound

This paper cites A Second-Order High-Resolution Scheme for a Juvenile-Adult Model of Amphibians,.

Learning Structured Population Models from Data with WSINDy A Second-Order High-Resolution Scheme for a Juvenile-Adult Model of Amphibians,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:29:51.875081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e435480-b8b6-48a3-a76b-85c610d95d19 · outbound

This paper cites an unresolved cited work.

Learning Structured Population Models from Data with WSINDy Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:29:51.657899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation a3c28daa-2351-47cb-96cd-65f75a24b322 · inbound

Weak Form Scientific Machine Learning: Test Function Construction for System Identification cites this paper.

Weak Form Scientific Machine Learning: Test Function Construction for System Identification Learning Structured Population Models from Data with WSINDy

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:21:15.668224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.