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Paper Citation Record · LEDGER

An LSTM-PINN Hybrid Method to the specific problem of population forecasting

As of 20 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.

pith.paper-citation-record.v1
2505.01819 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:27.809547Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T20:59:04.410769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:33:06.607839Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0734c22a-5198-43b2-81d6-44764a34a65a · outbound

This paper cites International Monetary Fund, 2024.

An LSTM-PINN Hybrid Method to the specific problem of population forecasting International Monetary Fund, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.100229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.688305Z digest=sha256:b13021e85f08bccf900146a6c0246aace4a10850bad4b341c1401a7f9f7f8db0

Observation f09b47f5-49e7-4835-ba64-502454a31102 · outbound

This paper cites Population aging as a global issue.

An LSTM-PINN Hybrid Method to the specific problem of population forecasting Population aging as a global issue

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.088442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.695300Z digest=sha256:bf74b35578afdc3669b6d359143ce86e3d17dbf15ab47903743ccc8e6792f562

Observation 441e4ed1-b51a-450e-ae35-ea85355e93dc · outbound

This paper cites Social interactions and fluctuations in birth rates.Population Studies, 54(2):223–237, 2000.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.077398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.700135Z digest=sha256:8b2b7db09d554d67795692a1d4f41eb6843ff9210d25a0183ec09fcab579e3ce

Observation 1aeea7a8-860f-4936-adb9-3138e0f1d710 · outbound

This paper cites Changing fertility patterns in china.Chinese Journal of Sociology, 9(4):497–521, 2023.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.065893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.704452Z digest=sha256:0d2bcb5bff99de7a93010de967c2742687e605050bec6cf1c8e6c71dd9bbad76

Observation 02e0694e-6919-434c-ac2c-5d00bafa7f8b · outbound

This paper cites Heterogeneously structured compartmental models of epidemiological systems: from individual-level processes to population-scale dynamics.

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

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:14:27.882346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.709276Z digest=sha256:62f8b71941cb14c9dc872cb9ed87af8feab91f4e9e5b2f01c7be115f5dab9ea9

Observation 577a7aae-bacc-48cc-a890-5276c8b60732 · outbound

This paper cites A systematic procedure for incorporating separable static heterogeneity into compartmental epidemic models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.055023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.714609Z digest=sha256:400b17ba34395d4b59c61e8cb6e260736783b52d07622fc20dff2714431a124d

Observation 2f8be1c2-bfdc-439e-8dd7-3086c0e8dc9c · outbound

This paper cites A comparative study of compartmental models for covid-19 transmission in ontario, canada.Scientific Reports, 13(1):15050, 2023.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.042080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.720400Z digest=sha256:69084bbf4d1dd17c8a452ae2e2223089eb7dc118b1c35e443ad51367f4d341e7

Observation 0f251c8d-3845-4cc8-a62f-4ca4be3bc22d · outbound

This paper cites Boundaryvalueproblemfortheloadedmckendrickvonfoersterequation of fractional order.Adyghe International Scientific Journal, 23(4):28–33, 2023.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.029398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.740644Z digest=sha256:43b969d000c07b742adc910f17f2cd5b3bf4a4e63c1fbfb07dcc7923b5f50416

Observation d036b3dc-f658-4c68-b122-00a224fe8599 · outbound

This paper cites 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.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.015006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.780850Z digest=sha256:f99b4f031a0f08d246fa146260ec62a0f3749d68043bc4467bcf3ee809eb846a

Observation 7f0bc7bb-02a9-4ff6-9c8a-704abf41afd0 · outbound

This paper cites Numerical solution to a nonlinear mckendrick-von foerster equation with diffusion.Numerical Algorithms, 92(2):1007–1039, 2023.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:28.000872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.784562Z digest=sha256:e452645382284d543b1a8e6acec8ff7d4b600f6a6ea2f76389fb538111c044e8

Observation 3f69d349-447a-48bd-917c-9bb5944d1851 · outbound

This paper cites Ahigherordernumericalschemetoanonlinearmckendrick–vonfoersterequationwithsingular mortality.

An LSTM-PINN Hybrid Method to the specific problem of population forecasting Ahigherordernumericalschemetoanonlinearmckendrick–vonfoersterequationwithsingular mortality

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:27.986486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.788814Z digest=sha256:5e6a23d057fc7b2511c1ccfcd16164c4f0d0e36032a5a97d28b3cda14506908f

Observation 888e3974-55b8-4976-a61a-d05db359bc5e · outbound

This paper cites an unresolved cited work.

An LSTM-PINN Hybrid Method to the specific problem of population forecasting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:14:27.973046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.793007Z digest=sha256:12e20b2fafc50269ce57520abc7f8645d752174bf4ffddeae5339a1d57ac90d4

Observation 4e98f9fa-72e4-4330-a7af-4e554286e031 · outbound

This paper cites A data-driven crowd simulation framework integrating physics-informed machine learning with navigation potential fields.IEEE Transactions on Computational Social Systems, 2025.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:27.959933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.796992Z digest=sha256:ae5cc952680af3f9e740734b13cb44be358f4abb101022c832d94f58b2bede71

Observation 888c7fe0-0038-415f-8eb5-4ababd91b35c · outbound

This paper cites 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.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:14:27.928478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.801084Z digest=sha256:d146f6408eacde7e7ef6dc0b7631803bb8847d526848daca4b38fa6ca073dfb9

Observation 83032272-2cc0-41a3-a83a-ca93f7faa62e · outbound

This paper cites Analytical and Neural Network Approaches for Solving Two-Dimensional Nonlinear Transient Heat Conduction.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T04:14:27.805178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:14:27.805178Z digest=sha256:f60def5cffa074b9707ed6c9c54a0910439354e4192c769aef10b6ec96d8a300

Observation 4f67e8bf-0ea7-4754-9e40-6d5c02b3e36b · outbound

This paper cites an unresolved cited work.

An LSTM-PINN Hybrid Method to the specific problem of population forecasting Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:14:27.912540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:14:27.809547Z digest=sha256:539e9beab789e50dd5b611d4cd39741220125337facda51ba57ac06aa3decd6c

Pith citing papers

Observation 1ed754b2-b02a-4058-8ca9-86deccf0727d · inbound

Effects of fuel and soot concentrations on the inception and development of contrails cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-13T20:59:04.410769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:59:04.410769Z digest=sha256:e59e0c968ccac6517486d4c56a2e9bf9ea4d82ea6b9ded7816f25b91e4003e5a

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 cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:33:06.609263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T18:31:03.500475Z digest=sha256:fb7c0abbae87886008f2529ab261d6d77e0335731afd9607fdfb23b43afb2ff3