Paper Citation Record · LEDGER

Data-driven Discovery of Digital Twins in Biomedical Research

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2508.21484.

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

pith.paper-citation-record.v1
2508.21484 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:20:40.464756Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

verified exact6
verified fuzzy1
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aec9b014-9176-4ad1-8d6f-ed55f727f518 · outbound

This paper cites Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems.

Data-driven Discovery of Digital Twins in Biomedical Research Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:42.612897Z

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.

Observation 93435fad-7305-47d0-922a-23cc5e3ac497 · outbound

This paper cites an unresolved cited work.

Data-driven Discovery of Digital Twins in Biomedical Research Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:20:43.504753Z

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.

Observation 1ec72405-e920-4449-88fb-91f4fd9230f0 · outbound

This paper cites Learning Dynamical Systems and Bifurcation via Group Sparsity.

Data-driven Discovery of Digital Twins in Biomedical Research Learning Dynamical Systems and Bifurcation via Group Sparsity

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:41.114754Z

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.

Observation 4b2c0689-efc7-4457-8147-14c0d79cfe89 · outbound

This paper cites OccamNet: A Fast Neural Model for Symbolic Regression at Scale.

Data-driven Discovery of Digital Twins in Biomedical Research OccamNet: A Fast Neural Model for Symbolic Regression at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:39.468217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9249a8de-9fb3-4884-8c60-c9326e129b3c · outbound

This paper cites Quantifying structural uncertainty in chemical reaction network inference.

Data-driven Discovery of Digital Twins in Biomedical Research Quantifying structural uncertainty in chemical reaction network inference

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:42.351343Z

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.

Observation 21d2248b-8f85-4665-acfb-407d4be9a902 · outbound

This paper cites Large Language Models for Extrapolative Modeling of Manufacturing Processes.

Data-driven Discovery of Digital Twins in Biomedical Research Large Language Models for Extrapolative Modeling of Manufacturing Processes

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:42.114755Z

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.

Observation 9f301c2b-6bab-4271-a286-5e1dbac8a8e2 · outbound

This paper cites an unresolved cited work.

Data-driven Discovery of Digital Twins in Biomedical Research Unresolved cited work

Reference 119

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:20:42.957239Z

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.

Observation 88a6a0e5-4d0d-43d8-a60c-48eeb9330d04 · outbound

This paper cites SpReME: Sparse Regression for Multi-Environment Dynamic Systems.

Data-driven Discovery of Digital Twins in Biomedical Research SpReME: Sparse Regression for Multi-Environment Dynamic Systems

Reference 149

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:41.474755Z

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.

Observation 44c4da87-c4e6-40d2-8908-8a956afb258b · outbound

This paper cites MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning.

Data-driven Discovery of Digital Twins in Biomedical Research MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:41.804753Z

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.

Observation dddb4cd0-689e-4c54-b7d6-4c784af809c1 · outbound

This paper cites LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery.

Data-driven Discovery of Digital Twins in Biomedical Research LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 2104

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:40.294754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49341095-0083-4049-b11c-343203eb0925 · outbound

This paper cites GSR: A Generalized Symbolic Regression Approach.

Data-driven Discovery of Digital Twins in Biomedical Research GSR: A Generalized Symbolic Regression Approach

Reference 3930

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:40.464756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62500d1-75d8-4bb7-b986-8acc81355ba6 · outbound

This paper cites d’Ascoli, S., Becker, S., Schwaller, P., Mathis, A., and Kilbertus, N.

Data-driven Discovery of Digital Twins in Biomedical Research d’Ascoli, S., Becker, S., Schwaller, P., Mathis, A., and Kilbertus, N

Reference 8133

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:20:43.264751Z

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.

Pith citing papers

No inbound Pith citation observations are available.