Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 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 32 of 32 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:16.443041Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T23:46:17.809467Z

Reference resolution

30 of 30 outbound references displayed

verified exact16
verified fuzzy6
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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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Observation 074192eb-2102-4e18-8b54-ebca2e14d58c · outbound

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

Resolution: verified exact; doi, observed 2026-08-07T13:41:46.857318Z

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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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Observation ac53dddd-51b2-4aae-aa06-c8c7caf83dae · outbound

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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Observation a8845ac3-545d-44db-9507-c3f9dfcfc3f5 · outbound

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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Observation 5bbf3fa3-1007-4119-8687-d5f8f52032c2 · outbound

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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Observation 70837a9a-e323-419d-a755-725962960f9a · outbound

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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Observation 49f30a44-0f1a-473f-bd2f-e60a1feb9898 · outbound

This paper cites Ray: A Distributed Framework for Emerging AI Applications.

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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Observation afaddccf-93a6-46fd-b254-007491835280 · outbound

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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Observation 34e9425e-51b8-4bf8-8425-f41814e8f233 · outbound

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

Observation e31d3be8-ad9a-4fbc-bd6d-04de3e325f51 · inbound

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations cites this paper.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

Reference 7

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Observation 6ba16886-1cda-4aaa-8d79-83505f8145ec · inbound

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations cites this paper.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

Reference 7

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