Paper Citation Record · LEDGER

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.21204.

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

pith.paper-citation-record.v1
2505.21204 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:41:45.755792Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

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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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External citation measurements

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Outbound references

Observation bc15ebe5-681a-4fc6-a37b-daad485a1b95 · outbound

This paper cites Pfreundschuh.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Pfreundschuh

Reference 1

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Observation fe6de121-c66f-41d3-8cdc-88f554434496 · outbound

This paper cites Pfreundschuh.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Pfreundschuh

Reference 2

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Observation b8e0bd8e-c955-4446-a0ff-e0cb5b00ccaf · outbound

This paper cites Dale, and Gary H.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Dale, and Gary H

Reference 3

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This paper cites Wunderlich, M.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Wunderlich, M

Reference 4

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Observation 13e8dd62-b5a1-41ae-9658-b767a3ee3b39 · outbound

This paper cites Friberg, Anja Henningsson, Hugo Maas, Laurent Nguyen, and Mats O.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Friberg, Anja Henningsson, Hugo Maas, Laurent Nguyen, and Mats O

Reference 5

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Observation 17558dd7-9af6-47eb-8dd8-3a8fdf56add0 · outbound

This paper cites Friberg and Mats O.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Friberg and Mats O

Reference 6

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Observation 5869fb60-bf36-4c1a-9fcd-287f18a646e2 · outbound

This paper cites Garrido, Elena Soto, and Iñaki F.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Garrido, Elena Soto, and Iñaki F

Reference 7

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Observation e0ef72f9-c96b-45c2-9770-032e848faf75 · outbound

This paper cites Semimechanistic Bone Marrow Exhaus- tion Pharmacokinetic/Pharmacodynamic Model for Chemotherapy-Induced Cumulative Neu- tropenia.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Semimechanistic Bone Marrow Exhaus- tion Pharmacokinetic/Pharmacodynamic Model for Chemotherapy-Induced Cumulative Neu- tropenia

Reference 8

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Observation cefec66f-3434-4fe0-91e6-6479741a652d · outbound

This paper cites A biomathematical model of human throm- bopoiesis under chemotherapy.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics A biomathematical model of human throm- bopoiesis under chemotherapy

Reference 9

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Observation 6851d151-41ea-40aa-98ec-be0160ed9c0c · outbound

This paper cites Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T13:41:46.744096Z

Source-reported events for the cited work

correction dated 2019-06-04. Source: crossref record 10.1371/journal.pcbi.1007110->10.1371/journal.pcbi.1006775:correction, observed 2026-07-11T03:04:56.378694+00:00. This notice travels one citation hop only.

Observation 00454017-a62c-4ad8-b8b0-bf922e17b037 · outbound

This paper cites Individual prediction of thrombocytopenia at next chemother- apy cycle: Evaluation of dynamic model performances.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Individual prediction of thrombocytopenia at next chemother- apy cycle: Evaluation of dynamic model performances

Reference 11

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Observation 3ea1fa2f-54b2-475e-b1e1-f96b20e0dccb · outbound

This paper cites Stewart, and Jimeng Sun.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Stewart, and Jimeng Sun

Reference 12

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Observation 4742fff2-b78d-4c6d-a5ab-229d1bd301cf · outbound

This paper cites Predict- ing Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Predict- ing Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

Reference 13

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Observation 807eaecd-2a30-4464-8eae-3e347f1b7e0e · outbound

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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Unresolved cited work

Reference 14

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Observation dc2895b4-6a73-4b0b-a0f4-d47d5620e734 · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Universal Differential Equations for Scientific Machine Learning

Reference 15

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This paper cites Raissi, P.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Raissi, P

Reference 16

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This paper cites Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y

Reference 17

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Observation dcc2f678-6a66-439d-9f5e-bf2f27ef198c · outbound

This paper cites Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Individual modelling of haematotoxicity with NARX neural networks: A knowledge transfer approach

Reference 18

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Observation 40643827-da94-4b25-be11-c5510ca879bc · outbound

This paper cites Renard, and Katharina Baum.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Renard, and Katharina Baum

Reference 19

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This paper cites Data-Driven Dis- covery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Data-Driven Dis- covery of Feedback Mechanisms in Acute Myeloid Leukaemia: Alternatives to classical models using Deep Nonlinear Mixed Effect modeling and Symbolic Regression

Reference 20

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Observation 5b7a42cb-63e8-4774-8d81-bb1f25e7a6e4 · outbound

This paper cites Siegelmann, B.G.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Siegelmann, B.G

Reference 21

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This paper cites Predicting chemotherapy-induced thrombotoxicity by NARX neural networks and transfer learning.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Predicting chemotherapy-induced thrombotoxicity by NARX neural networks and transfer learning

Reference 22

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Observation 54b6d69f-f98a-421d-af76-e798db05a1fb · outbound

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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Unresolved cited work

Reference 23

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This paper cites Non- Negative Universal Differential Equations With Applications in Systems Biology.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Non- Negative Universal Differential Equations With Applications in Systems Biology

Reference 24

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This paper cites Python Language Reference, version 3.9.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Python Language Reference, version 3.9

Reference 25

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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Unresolved cited work

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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics Ray: A Distributed Framework for Emerging AI Applications

Reference 27

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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics doi: 10.1002/cncr.11882

Reference 2004

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This paper cites doi: 10.1016/j.heliyon.2023.e17890.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics doi: 10.1016/j.heliyon.2023.e17890

Reference 2023

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This paper cites URL http://ascopubs.org/doi/10.1200/JCO.

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics URL http://ascopubs.org/doi/10.1200/JCO

Reference 7755

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Pith citing papers

No inbound Pith citation observations are available.