Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:27.809547Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2505.01819.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:27.809547Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T20:59:04.410769Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T18:33:06.607839Z
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0734c22a-5198-43b2-81d6-44764a34a65a · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting International Monetary Fund, 2024
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f09b47f5-49e7-4835-ba64-502454a31102 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Population aging as a global issue
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 441e4ed1-b51a-450e-ae35-ea85355e93dc · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Social interactions and fluctuations in birth rates.Population Studies, 54(2):223–237, 2000
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1aeea7a8-860f-4936-adb9-3138e0f1d710 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Changing fertility patterns in china.Chinese Journal of Sociology, 9(4):497–521, 2023
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 02e0694e-6919-434c-ac2c-5d00bafa7f8b · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Heterogeneously structured compartmental models of epidemiological systems: from individual-level processes to population-scale dynamics
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 577a7aae-bacc-48cc-a890-5276c8b60732 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting A systematic procedure for incorporating separable static heterogeneity into compartmental epidemic models
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2f8be1c2-bfdc-439e-8dd7-3086c0e8dc9c · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting A comparative study of compartmental models for covid-19 transmission in ontario, canada.Scientific Reports, 13(1):15050, 2023
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f251c8d-3845-4cc8-a62f-4ca4be3bc22d · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Boundaryvalueproblemfortheloadedmckendrickvonfoersterequation of fractional order.Adyghe International Scientific Journal, 23(4):28–33, 2023
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d036b3dc-f658-4c68-b122-00a224fe8599 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting From individual-based epidemic models to mckendrick-von foerster pdes: A guide to modeling and inferring covid-19 dynamics.Journal of Mathematical Biology, 85(4):43, 2022
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7f0bc7bb-02a9-4ff6-9c8a-704abf41afd0 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Numerical solution to a nonlinear mckendrick-von foerster equation with diffusion.Numerical Algorithms, 92(2):1007–1039, 2023
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3f69d349-447a-48bd-917c-9bb5944d1851 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Ahigherordernumericalschemetoanonlinearmckendrick–vonfoersterequationwithsingular mortality
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 888e3974-55b8-4976-a61a-d05db359bc5e · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Unresolved cited work
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4e98f9fa-72e4-4330-a7af-4e554286e031 · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting A data-driven crowd simulation framework integrating physics-informed machine learning with navigation potential fields.IEEE Transactions on Computational Social Systems, 2025
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 888c7fe0-0038-415f-8eb5-4ababd91b35c · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Data-driven machine learning approach based on physics-informed neural network for population balance model.Advances in Continuous and Discrete Models, 2025(1):12, 2025
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83032272-2cc0-41a3-a83a-ca93f7faa62e · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Analytical and Neural Network Approaches for Solving Two-Dimensional Nonlinear Transient Heat Conduction
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f67e8bf-0ea7-4754-9e40-6d5c02b3e36b · outbound
An LSTM-PINN Hybrid Method to the specific problem of population forecasting Unresolved cited work
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ed754b2-b02a-4058-8ca9-86deccf0727d · inbound
Effects of fuel and soot concentrations on the inception and development of contrails An LSTM-PINN Hybrid Method to the specific problem of population forecasting
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15db547f-1a38-4483-b993-0ca8541c788c · inbound
LSTM-PINN for Steady-State Electrothermal Transport: Preserving Multi-Field Consis tency in Strongly Coupled Heat and Fluid Flow An LSTM-PINN Hybrid Method to the specific problem of population forecasting
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.