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Paper Citation Record · LEDGER

Validating the predictions of mathematical models describing tumor growth and treatment response

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.19333.

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

pith.paper-citation-record.v1
2502.19333 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:04.910190Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:29:59.650413Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 807f3613-a92f-4a28-98b2-4c3078dab61d · inbound

TumorTwin: A python framework for patient-specific digital twins in oncology cites this paper.

TumorTwin: A python framework for patient-specific digital twins in oncology Validating the predictions of mathematical models describing tumor growth and treatment response

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.910190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.910190Z digest=sha256:bd4aac0230cac80144539eea8754a87d7f69cea0153ea71ced4bcb7f1c5d8361

Observation d06be2f3-b3a9-4a2a-ba63-db7fed4ff4b6 · inbound

Predicting Brain Morphogenesis via Physics-Transfer Learning cites this paper.

Predicting Brain Morphogenesis via Physics-Transfer Learning Validating the predictions of mathematical models describing tumor growth and treatment response

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:29:59.742407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T17:29:51.291175Z digest=sha256:c99814f40cac4a29b8a77a901bb775fec0cc123ee8452c9e80052f9f8e62eff4